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Upravičenci do delnic Vzajemne, ki se statusno preoblikuje, se v teh dneh sprašujejo kdaj odpreti trgovalni račun. Večina izmed skupno več kot 419 tisoč upravičencev namreč tovrstnega računa pri eni izmed borznih hiš ali bank še nima odprtega. A na Vzajemni svetujejo: počakajte! Predsednik uprave Vzajemna Matija Šenk pravi, da bodo cene za odpiranje in vodenje trgovalnih računov najverjetneje nižje, kot so danes. Poleg tega pa tudi ministrstvo za finance razmišlja, da bi omogočilo neposreden prenos delnic Vzajemne iz KDD na individualne naložbene račune. V vsakem primeru se ne mudi, saj se bodo delnice na Ljubljansko borzo uvrstile šele v začetku prihodnjega leta.
Jineet Doshi is a Staff Data Scientist at Intuit and an AI Lead with a strong background in Computer Science. With over 6 years of relevant experience, he has a proven track record of building end-to-end machine learning models that significantly improve business metrics, from reducing fraud to saving millions of dollars. Holistic Evaluation of Generative AI Systems // MLOps Podcast #280 with Jineet Doshi, Staff AI Scientist or AI Lead at Intuit. // Abstract Evaluating LLMs is essential in establishing trust before deploying them to production. Even post deployment, evaluation is essential to ensure LLM outputs meet expectations, making it a foundational part of LLMOps. However, evaluating LLMs remains an open problem. Unlike traditional machine learning models, LLMs can perform a wide variety of tasks such as writing poems, Q&A, summarization etc. This leads to the question how do you evaluate a system with such broad intelligence capabilities? This talk covers the various approaches for evaluating LLMs such as classic NLP techniques, red teaming and newer ones like using LLMs as a judge, along with the pros and cons of each. The talk includes evaluation of complex GenAI systems like RAG and Agents. It also covers evaluating LLMs for safety and security and the need to have a holistic approach for evaluating these very capable models. // Bio Jineet Doshi is an award winning AI Lead and Engineer with over 7 years of experience. He has a proven track record of leading successful AI projects and building machine learning models from design to production across various domains, which have impacted millions of customers and have significantly improved business metrics, leading to millions of dollars of impact. He is currently an AI Lead at Intuit where he is one of the architects and developers of their Generative AI platform, which is serving Generative AI experiences for more than 100 million customers around the world. Jineet is also a guest lecturer at Stanford University as part of their building LLM Applications class. He is on the Advisory Board of University of San Francisco's AI Program. He holds multiple patents in the field, is on the steering committee of MLOps World Conference and has also co chaired workshops at top AI conferences like KDD. He holds a Masters degree from Carnegie Mellon university. // MLOps Swag/Merch https://shop.mlops.community/ // Related Links Website: https://www.intuit.com/ --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Jineet on LinkedIn: https://www.linkedin.com/in/jineetdoshi/
Hemos vuelto, y esta vez para quedarnos! 🚴🇪🇸 Comenzamos con la Vuelta a España y con una narración del final del a cuarta etapa mientras grabábamos este episodio. [24' 26''] 🏅🏅 JJ.OO.: nos quedaba por repasar la gesta de Remco Evenepoel y demás resultados olímpicos. [34' 52''] 🚴♀🇫🇷 Tour de France Femmes avec Zwift. Analizamos el increíble final de el Tour femenino con emoción hasta el último metro. [41' 23''] 🌍 Resto de Competición internacional: Volta a Portugal, Vuelta a Burgos, Tour de Polonia, Arctic Race... [49' 57''] 🚵 🇪🇺 BTT: Campeonato de Europa de XCM. La sorpresa de Valero y resultados de los demás españoles. [53' 42''] 💸 Fichajes. [55' 52''] ⬇️ Copa de España de DH Manzaneda [1h 02' 34''] 🐄 Ciclismo "de aquí": Copa de Galicia do Porvir y Copa de Galicia de ciclismo de carretera. Copa de España Junior Cofidis [1h 08' 09''] ⚒ Material ciclista. Nuevas bicis y los cascos de Canyon. [1h 09' 37''] 📅 Calendario ciclista: Hoy invitamos a Alberto Fonte, presidente del Clubb BTTeiros Cova da Serpe de Guitiriz que organizan una KDD para celebrar su X aniversario.
In this episode, Pedro Domingos - AI - 2040 - Lauren Hawker Zafer is joined by Pedro Domingos. This unique conversation explores AI's impact on politics, particularly in voter targeting and campaign strategies, and the concept of AI as a tool for enhancing collective intelligence. Domingos, with over 200 technical publications and numerous accolades, shares insights on the future of AI, its challenges, and opportunities. Who is Pedro Domingos? Pedro Domingos is a renowned AI researcher, tech industry insider, and Professor Emeritus of Computer Science and Engineering at the University of Washington. He is the author of the best-selling book The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Basic Books, 2015), which has been translated into over twelve languages and sold over 300,000 copies. He won the SIGKDD Innovation Award and the IJCAI John McCarthy Award, two of the highest honors in data science and AI. Domingos is Fellow of the AAAS and AAAI and received an NSF CAREER Award, a Sloan Fellowship, a Fulbright Scholarship, an IBM Faculty Award, several best paper awards, and other distinctions. Pedro received an undergraduate degree (1988) and M.S. in Electrical Engineering and Computer Science (1992) from IST in Lisbon and an M.S. (1994) and Ph.D. (1997) in Information and Computer Science from the University of California at Irvine. Pedro is the author/co-author of over 200 technical publications in machine learning, data science, and other areas. He's a member of the editorial board of the Machine Learning journal, co-founder of the International Machine Learning Society, and past associate editor of JAIR. He was the program co-chair of KDD-2003 and SRL-2009, and I've served on the program committees of AAAI, ICML, IJCAI, KDD, NIPS, SIGMOD, UAI, WWW, and others. His work has been featured in the Wall Street Journal, Spectator, Scientific American, Wired, and elsewhere. Lastly, Domingos helped start the fields of statistical relational AI, data stream mining, adversarial learning, machine learning for information integration, and influence maximization in social networks. He lives in Seattle. #ai #techpodcast #redefiningai #squirro
Season Three - Spotlight Thirteen Our thirteenth spotlight of this season is a snippet of our upcoming episode: Pedro Domingos - AI - 2040 Join host Lauren Hawker Zafer as she engages with Pedro Domingos. This unique conversation explores AI's impact on politics, particularly in voter targeting and campaign strategies, and the concept of AI as a tool for enhancing collective intelligence. Domingos, with over 200 technical publications and numerous accolades, shares insights on the future of AI, its challenges, and opportunities. Who is Pedro Domingos? Pedro Domingos is a renowned AI researcher, tech industry insider, and Professor Emeritus of Computer Science and Engineering at the University of Washington. He is the author of the best-selling book The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Basic Books, 2015), which has been translated into over twelve languages and sold over 300,000 copies. He won the SIGKDD Innovation Award and theIJCAI John McCarthy Award, two of the highesthonors in data science and AI. Domingos is Fellow of the AAAS and AAAI and received an NSF CAREER Award, a Sloan Fellowship, a Fulbright Scholarship, an IBM Faculty Award, several best paper awards, and other distinctions. Pedro received an undergraduate degree (1988) and M.S. in Electrical Engineering and Computer Science (1992) from IST in Lisbon and an M.S. (1994) and Ph.D. (1997) in Information and Computer Science from the University of California at Irvine. Pedro is the author/co-author of over 200 technical publications in machine learning, data science, and other areas. He's a member of the editorial board of the Machine Learning journal, co-founder of the International Machine Learning Society, and past associate editor of JAIR. He was the program co-chair of KDD-2003 and SRL-2009, and I've served on the program committees of AAAI, ICML, IJCAI, KDD, NIPS, SIGMOD, UAI, WWW, and others. His work has been featured in the Wall Street Journal, Spectator, Scientific American, Wired, and elsewhere. Lastly, Domingos helped start the fields of statistical relational AI, data stream mining, adversarial learning, machine learning for information integration, and influence maximization in social networks. He lives in Seattle. #ai #techpodcast #redefiningai #squirro
Eric Landry is a seasoned AI and Machine Learning leader with extensive expertise in software engineering and practical applications in NLP, document classification, and conversational AI. With technical proficiency in Java, Python, and key ML tools, he leads the Expedia Machine Learning Engineering Guild and has spoken at major conferences like Applied Intelligence 2023 and KDD 2020. AI in Healthcare // MLOps Podcast #249 with Eric Landry, CTO/CAIO @ Zeteo Health. // Abstract Eric Landry discusses the integration of AI in healthcare, highlighting use cases like patient engagement through chatbots and managing medical data. He addresses benchmarking and limiting hallucinations in LLMs, emphasizing privacy concerns and data localization. Landry maintains a hands-on approach to developing AI solutions and navigating the complexities of healthcare innovation. Despite necessary constraints, he underscores the potential for AI to proactively engage patients and improve health outcomes. // Bio Eric Landry is a technology veteran with 25+ years of experience in the healthcare, travel, and computer industries, specializing in machine learning engineering and AI-based solutions. Holding a Masters in SWE (NLP thesis topic) from the University of Texas at Austin, 2005. He has showcased his expertise and leadership in the field with three US patents, published articles on machine learning engineering, and speaking engagements at the 2023 Applied Intelligence Live, 2020 KDD conference, Data Science Salon 2024, and former leader of Expedia's MLE guild. Formerly, Eric was the director of AI Engineering and Conversation Platform at Babylon Health and Expedia. Currently CTO/CAIO at Zeteo Health. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Website: https://www.zeteo.health/ Building Threat Detection Systems: An MLE's Perspective // Jeremy Jordan // MLOps Podcast #134: https://youtu.be/13nOmMJuiAo --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Eric on LinkedIn: https://www.linkedin.com/in/jeric-landry/ Timestamps: [00:00] Eric's preferred coffee [00:16] Takeaways [01:16] Please like, share, leave a review, and subscribe to our MLOps channels! [01:32] ML and AI in 2005 [04:43] Last job at Babylon Health [10:57] Data access solutions [14:35] Prioritize AI ML Team Success [16:39] Eric's current work [20:36] Engage in holistic help [22:13] High-stakes chatbots [27:30] Navigating Communication Across Diverse Communities [31:49] When Bots Go Wrong [34:15] Health care challenges ahead [36:05] Behavioral health tech challenges [39:45] Stress from Apps Notifications [41:11] Combining different guardrails tools [47:16] Navigating Privacy AI [50:12] Wrap up
Send us a Text Message.Video version of this episode is available here Causal personalization?Dima did not love computers enough to forget about his passion for understanding people.His work at Booking.com focuses on recommender systems and personalization, and their intersection with AB testing, constrained optimization and causal inference.Dima's passion for building things started early in his childhood and continues up to this day, but recent events in his life also bring new opportunities to learn.In the episode, we discuss:What can we learn about human psychology from building causal recommender systems?What it's like to work in a culture of radical experimentation?Why you should not skip your operations research classes?Ready to dive in? About The GuestDima Goldenberg is a Senior Machine Learning Manager at Booking.com, Tel Aviv, where he leads machine learning efforts in recommendations and personalization utilizing uplift modeling. Dima obtained his MSc in Tel Aviv University and currently pursuing PhD on causal personalization at Ben Gurion University of the Negev. He led multiple conference workshops and tutorials on causality and personalization and his research was published in top journals and conferences including WWW, CIKM, WSDM, SIGIR, KDD and RecSys.Connect with Dima: Dima on LinkedInAbout The HostAleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality (https://amzn.to/3QhsRz4).Connect with Alex:- Alex on the Internet LinksThe full list of links is available here#machinelearning #causalai #causalinference #causality Should we build the Causal Experts Network?Share your thoughts in the surveySupport the Show.Causal Bandits PodcastCausal AI || Causal Machine Learning || Causal Inference & DiscoveryWeb: https://causalbanditspodcast.comConnect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/Join Causal Python Weekly: https://causalpython.io The Causal Book: https://amzn.to/3QhsRz4
What's up everyone, today we have the pleasure of sitting down with Kevin Hu (Hoo), Co-founder and CEO at Metaplane. Summary: Dr. Kevin Hu gives us a masterclass on everything data. Data analysis, data storytelling, data quality, data observability and data anomaly detection. We unpack the power of inquisitive data analysis and a hypothesis-driven approach, emphasizing the importance of balancing data perfection with actually doing the work of activating that data. He highlights data observability and anomaly detection as a key to preempting errors, ensuring data integrity for a seamless user experience. Amid the rise of AI in martech, he champions marketing ops' role in safeguarding data quality, making clear that success hinges on our ability to manage data with precision, creativity, and proactive vigilance. About KevinKevin did his undergrad in Physics at MITHe later collaborated with his biologist sister, assisting in analyzing five years of fish behavior data. This experience inspired him to further his research and earn a master's degree in Data Visualization and Machine LearningHe also completed a PhD in Philosophy at MIT where he led research on automated data visualization and semantic type detection His research was published at several conferences like CHI (pronounced Kai) (human-computer interaction), SIGMOD (database) and KDD (data mining) and featured in the Economist, NYT and WiredIn 2019, Kevin teamed up with former Hubspot and Appcues engineers to launch Metaplane, initially set out to be a product focused on customer success, designed to analyze company data for churn preventionBut after going through Y Combinator, the company pivoted slightly to build data analytics-focused toolsToday Metaplane is a data observability platform powered by ML-based anomaly detection that helps teams prevent and detect data issues — before the CEO pings them about weird revenue numbers.How to Ask the Right Questions in Data AnalysisWhen Kevin shared the profound impact César Hidalgo, his mentor at MIT, had on his journey into the data world, it wasn't just about learning to analyze data; it was about asking the right questions. César put together one of our favorite TED talks ever – Why we should automate politicians with AI agents – this was back in 2018, long before ChatGPT was popular. Hidalgo, recognized not only for AI and ML applications but also developing innovative methods to visualize complex data and making it understandable to a broader audience, was the most important teacher in Kevin's life. He helped Kevin understand that the bottleneck in data analysis wasn't necessarily a lack of coding skills but a gap in understanding what to ask of the data. This revelation came at a pivotal moment as Kevin navigated his path through grad school, influenced by his sister's work in animal behavior and his own struggles with coding tools like R and MATLAB.Under Hidalgo's guidance, Kevin was introduced to a broader perspective on data analysis. This wasn't just about running numbers through a program; it was about diffusing those numbers with context and meaning. Hidalgo's approach to mentorship, characterized by personalized attention and encouragement to delve into complex ideas, like those presented in Steven Pinker's "The Blank Slate," opened up a new world of inquiry for Kevin. It was a world where the questions one asked were as critical as the data one analyzed.This mentorship experience highlights the importance of curiosity and critical thinking in the field of data science. Kevin's reflection on his journey reveals a key insight: mastering coding languages is only one piece of the puzzle. The ability to question, to seek out the stories data tells, and to understand the broader implications of those stories is equally, if not more, important.Kevin's gratitude towards Hidalgo for his investment in students' growth serves as a reminder of the value of mentorship. It's a testament to the idea that the best mentors don't just teach you how to execute tasks; they inspire you to see beyond the immediate horizon. They challenge you to think deeply about your work and its impact on the world.Key takeaway: For marketers delving into data-informed strategies, Kevin's story is a powerful reminder that beyond the technical skills, the ability to ask compelling, insightful questions of your data can dramatically amplify its value. Focus on nurturing a deep, inquisitive approach to understanding consumer behavior and market trends.Bridging Academic Rigor with Startup AgilityDuring his career in academia working alongside Olympian-caliber scientists and researchers, Kevin garnered insights that have since influenced his approach to running a startup. The parallels between academia and startups are striking, with both realms embodying a journey of perseverance and unpredictability. This analogy provides a foundational mindset for entrepreneurs who must navigate the uncertain waters of business development with resilience and adaptability.At the heart of Kevin's philosophy is the adoption of a hypothesis-driven approach. This methodology, borrowed from academic research, emphasizes the importance of formulating hypotheses for various aspects of business operations, particularly in marketing strategies. Identifying the ideal customer profile (ICP), crafting compelling messaging, and selecting the optimal channels are seen not as static decisions but as theories to be rigorously tested and iterated upon. This empirical approach allows for a methodical exploration of what resonates best with the target audience, acknowledging that today's successful strategy may need reevaluation tomorrow.Another vital lesson from academia that Kevin emphasizes is the respect for past endeavors. In a startup ecosystem often obsessed with innovation, there's a tendency to overlook the lessons learned from previous attempts in similar ventures. By acknowledging and building upon the efforts of predecessors, Kevin advocates for a more informed and grounded approach to innovation. This perspective encourages entrepreneurs to consider the historical context of their ideas and strategies, potentially saving time and resources by learning from past mistakes rather than repeating them.Key takeaway: Embracing a hypothesis-driven mindset should be familiar grounds for marketers. Challenge your team to identify and test hypotheses around underexplored or seemingly less significant customer segments. This could involve hypothesizing the effectiveness of personalized content for a niche within your broader audience that has been overlooked, measuring engagement against broader campaigns.Balancing Data Accuracy with Rapid GrowthFor startups grappling with survival, the luxury of perfect data is often out of reach. Kevin points out that data quality should be tailored to the specific needs of the business. For instance, data utilized for quarterly board meetings does not necessitate the same level of freshness as data driving daily customer interactions. This pragmatic approach underscores the importance of defining data quality standards based on the frequency and criticality of business decisions.At the heart of Kevin's argument is the concept that as businesses scale, the stakes of data accuracy and timeliness escalate. He highlights scenarios where real-time data becomes crucial, such as B2B SaaS companies engaging with potential leads or e-commerce platforms optimizing their customer journey. In these cases, even slight inaccuracies or delays can result in missed revenue opportunities or diminished customer trust.This discourse on data quality transcends the binary choice between perfect data and rapid action. Instead, Kevin advoc...
Velkommen til dialogpodden Tunsberg!Kirkelig Dialogsenter Drammen med ny podkastsatsning.KDD har arbeidet med podkasten «Ypsilonsamtaler» i flere år. Nå er Ypsilonsamtaler avsluttet og dialogprest Karoline Faber starter «Dialogpodden Tunsberg», en inspirasjonspodkast for ansatte og frivillige i kirka og alle interesserte. «Dialogpodden» portretterer modige måter å være i kirke på (i Tunsberg bispedømme). Vi reiser rundt til steder der kirken jobber på en dialogisk måte og der innenfor blir utenfor og utenfor blir innenfor.I den første episoden snakker Karoline med sin forgjenger Ivar Flaten om hva KDD har lært av å lage Ypsilonsamtaler og om hva vi håper at Dialogpodden skal bli. Bli med videre til «Dialogpodden Tunsberg» for å lære mer! Hosted on Acast. See acast.com/privacy for more information.
Er hat den hessischen Ministerpräsidenten Georg-August Zinn im TV gespielt, er hat den jungen Adolf Hitler auf der Bühne dargestellt, er ist "Butsch" in der ARD-Krimiserie "Wolfsland". Für die Eigenarten all seiner Charaktere entwickelt Götz Schubert einen eigenen Zugang; er gilt als die Allzweckwaffe des deutschen Fernsehens. Im hr1-Talk ist er nun der Gesprächs-Allrounder.
In this episode, Emad Elwany, CTO & Co-founder @ Lexion, joins us to discuss navigating the messy “in-between” phase startups face as they scale up! We talk about the dilemma between optimizing for vertical or horizontal teams. And we cover his approach for aligning teams based on strategic themes / “complete units of value” on the company's product roadmap and navigating trade-offs when choosing your approach to scaling. Emad also shares strategies for successful interpersonal facilitation and how to build consensus effectively as an approach to sustain your org's internal velocity.ABOUT EMAD ELWANYEmad Elwany is the CTO and co-founder of Lexion. Lexion is a powerfully simple operations workflow and contracting platform that helps teams get deals done faster. Lexion streamlines and centralizes the end-to-end contract lifecycle with intuitive email-driven intake and workflows, simple no-code automation, best-in-class AI, and more. Lexion was one of the first AI companies to leverage LLMs in building production-quality applications. The company was founded in 2018 at the Allen Institute for Artificial Intelligence, is backed by an iconic Silicon Valley law firm, and recently raised a $20M Series B with support from top-tier VC firms.Prior to co-founding Lexion, Emad held principal engineering roles at Microsoft Research, working on Microsoft's core AI products, specifically as founding and lead engineer on their core conversational AI and NLP platform as well as their AI scheduling assistant.Emad holds a Bachelor's degree in Computer Engineering from Alexandria University and a Master's degree in Computer Science from Stanford University. He's an active member of special interest groups in machine learning and artificial intelligence and has published research papers in major computer science conferences like CHI, NeurIPS, and KDD."We said, 'We're not going to do the vertical. We're not going to do horizontal. Instead, let's be roadmap driven.' If you review our roadmap document, there's a section on key learnings from the past, and then there's a section on the three or four strategic areas we're investing in in the next quarter. So we thought, 'Okay, these strategic themes are very coherent. A lot of the projects on them are kind of homogenous but they span the full stack. They also span different functional areas. Why don't we try that? Why don't we have teams aligned to themes?'”- Emad Elwany Interested in joining an ELC Peer Group?ELCs Peer Groups provide a virtual, curated, and ongoing peer learning opportunity to help you navigate the unknown, uncover solutions and accelerate your learning with a small group of trusted peers.Apply to join a peer group HERE: sfelc.com/peerGroupsSHOW NOTES:Emad's observations around scaling up @ Lexion (2:50)Strategies for dividing teams / products horizontally or vertically (5:17)Navigating trade-offs when deciding the right approach for scaling up (7:39)How to decide what areas to optimize vs. sacrifice (10:47)Using your product roadmap to drive decision making / optimization (12:59)Emad's process for forming new teams, identifying strategies & executing vision (15:48)Fitting the trade-off discussion into this organization model (18:51)Determining your org's specific “budget of problems” (22:21)Balancing the timing of problems vs. the quantity of problems (24:01)Recommendations for interpersonal facilitation & building consensus (27:01)How these actions can help improve & sustain your org's internal velocity (31:16)Why velocity – or lack of it – impacts speedy, efficient decision-making (33:51)Emad's favorite examples of his team finding consensus (35:37)Rapid fire questions (38:17)LINKS AND RESOURCESScaling People: Tactics for Management and Company Building -Claire Hughes Johnson's practical and empathetic guide to being an effective leader and manager in a high-growth environment. The tactical information it puts forward—including guidance on crafting foundational documents, strategic and financial planning, hiring and team development, and feedback and performance mechanisms—can be applied to companies of any size, in any industry. Scaling People includes dozens of pages of worksheets, templates, exercises, and example documents to help founders, leaders, and company builders create scalable operating systems and lightweight processes that really work.This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/
Thanks to the over 17,000 people who have joined the first AI Engineer Summit! A full recap is coming. Last call to fill out the State of AI Engineering survey! See our Community page for upcoming meetups in SF, Paris and NYC.This episode had good interest on Twitter.Fast.ai's “Practical Deep Learning” courses been watched by over >6,000,000 people, and the fastai library has over 25,000 stars on Github. Jeremy Howard, one of the creators of Fast, is now one of the most prominent and respected voices in the machine learning industry; but that wasn't always the case. Being non-consensus and right In 2018, Jeremy and Sebastian Ruder published a paper on ULMFiT (Universal Language Model Fine-tuning), a 3-step transfer learning technique for NLP tasks: The paper demonstrated that pre-trained language models could be fine-tuned on a specific task with a relatively small amount of data to achieve state-of-the-art results. They trained a 24M parameters model on WikiText-103 which was beat most benchmarks.While the paper had great results, the methods behind weren't taken seriously by the community: “Everybody hated fine tuning. Everybody hated transfer learning. I literally did tours trying to get people to start doing transfer learning and nobody was interested, particularly after GPT showed such good results with zero shot and few shot learning […] which I was convinced was not the right direction, but who's going to listen to me, cause as you said, I don't have a PhD, not at a university… I don't have a big set of computers to fine tune huge transformer models.”Five years later, fine-tuning is at the center of most major discussion topics in AI (we covered some like fine tuning vs RAG and small models fine tuning), and we might have gotten here earlier if Jeremy had OpenAI-level access to compute and distribution. At heart, Jeremy has always been “GPU poor”:“I've always been somebody who does not want to build stuff on lots of big computers because most people don't have lots of big computers and I hate creating stuff that most people can't use.”This story is a good reminder of how some of the best ideas are hiding in plain sight; we recently covered RWKV and will continue to highlight the most interesting research that isn't being done in the large labs. Replacing fine-tuning with continued pre-trainingEven though fine-tuning is now mainstream, we still have a lot to learn. The issue of “catastrophic forgetting” and potential solutions have been brought up in many papers: at the fine-tuning stage, the model can forget tasks it previously knew how to solve in favor of new ones. The other issue is apparent memorization of the dataset even after a single epoch, which Jeremy covered Can LLMs learn from a single example? but we still don't have the answer to. Despite being the creator of ULMFiT, Jeremy still professes that there are a lot of open questions on finetuning:“So I still don't know how to fine tune language models properly and I haven't found anybody who feels like they do.”He now advocates for "continued pre-training" - maintaining a diversity of data throughout the training process rather than separate pre-training and fine-tuning stages. Mixing instructional data, exercises, code, and other modalities while gradually curating higher quality data can avoid catastrophic forgetting and lead to more robust capabilities (something we covered in Datasets 101).“Even though I originally created three-step approach that everybody now does, my view is it's actually wrong and we shouldn't use it… the right way to do this is to fine-tune language models, is to actually throw away the idea of fine-tuning. There's no such thing. There's only continued pre-training. And pre-training is something where from the very start, you try to include all the kinds of data that you care about, all the kinds of problems that you care about, instructions, exercises, code, general purpose document completion, whatever. And then as you train, you gradually curate that, you know, you gradually make that higher and higher quality and more and more specific to the kinds of tasks you want it to do. But you never throw away any data….So yeah, that's now my view, is I think ULMFiT is the wrong approach. And that's why we're seeing a lot of these so-called alignment tax… I think it's actually because people are training them wrong.An example of this phenomena is CodeLlama, a LLaMA2 model finetuned on 500B tokens of code: while the model is much better at code, it's worse on generic tasks that LLaMA2 knew how to solve well before the fine-tuning. In the episode we also dive into all the places where open source model development and research is happening (academia vs Discords - tracked on our Communities list and on our survey), and how Jeremy recommends getting the most out of these diffuse, pseudonymous communities (similar to the Eleuther AI Mafia).Show Notes* Jeremy's Background* FastMail* Optimal Decisions* Kaggle* Enlitic* fast.ai* Rachel Thomas* Practical Deep Learning* fastai for PyTorch* nbdev* fastec2 (the underrated library we describe)* Can LLMs learn from a single example?* the Kaggle LLM Science Exam competition, which “challenges participants to answer difficult science-based questions written by a Large Language Model”.* Sebastian Ruder* Alec Radford* Sylvain Gugger* Stephen Merity* Chris Lattner* Modular.ai / Mojo* Jono Whittaker* Zeiler and Fergus paper* ULM Fit* DAWNBench* Phi-1* Code Llama* AlexNetTimestamps* [00:00:00] Intros and Jeremy's background* [00:05:28] Creating ULM Fit - a breakthrough in NLP using transfer learning* [00:06:32] The rise of GPT and the appeal of few-shot learning over fine-tuning* [00:10:00] Starting Fast.ai to distribute AI capabilities beyond elite academics* [00:14:30] How modern LMs like ChatGPT still follow the ULM Fit 3-step approach* [00:17:23] Meeting with Chris Lattner on Swift for TensorFlow at Google* [00:20:00] Continued pre-training as a fine-tuning alternative* [00:22:16] Fast.ai and looking for impact vs profit maximization* [00:26:39] Using Fast.ai to create an "army" of AI experts to improve their domains* [00:29:32] Fast.ai's 3 focus areas - research, software, and courses* [00:38:42] Fine-tuning memorization and training curve "clunks" before each epoch* [00:46:47] Poor training and fine-tuning practices may be causing alignment failures* [00:48:38] Academia vs Discords* [00:53:41] Jeremy's high hopes for Chris Lattner's Mojo and its potential* [01:05:00] Adding capabilities like SQL generation through quick fine-tuning* [01:10:12] Rethinking Fast.ai courses for the AI-assisted coding era* [01:14:53] Rapid model development has created major technical debt* [01:17:08] Lightning RoundAI Summary (beta)This is the first episode we're trying this. Here's an overview of the main topics before you dive in the transcript. * Jeremy's background and philosophies on AI* Studied philosophy and cognitive science in college* Focused on ethics and thinking about AI even 30 years ago* Believes AI should be accessible to more people, not just elite academics/programmers* Created fast.ai to make deep learning more accessible* Development of transfer learning and ULMFit* Idea of transfer learning critical for making deep learning accessible* ULMFit pioneered transfer learning for NLP* Proposed training general language models on large corpora then fine-tuning - this became standard practice* Faced skepticism that this approach would work from NLP community* Showed state-of-the-art results on text classification soon after trying it* Current open questions around fine-tuning LLMs* Models appear to memorize training data extremely quickly (after 1 epoch)* This may hurt training dynamics and cause catastrophic forgetting* Unclear how best to fine-tune models to incorporate new information/capabilities* Need more research on model training dynamics and ideal data mixing* Exciting new developments* Mojo and new programming languages like Swift could enable faster model innovation* Still lots of room for improvements in computer vision-like innovations in transformers* Small models with fine-tuning may be surprisingly capable for many real-world tasks* Prompting strategies enable models like GPT-3 to achieve new skills like playing chess at superhuman levels* LLMs are like computer vision in 2013 - on the cusp of huge new breakthroughs in capabilities* Access to AI research* Many key convos happen in private Discord channels and forums* Becoming part of these communities can provide great learning opportunities* Being willing to do real work, not just talk about ideas, is key to gaining access* The future of practical AI* Coding becoming more accessible to non-programmers through AI assistance* Pre-requisite programming experience for learning AI may no longer be needed* Huge open questions remain about how to best train, fine-tune, and prompt LLMsTranscriptAlessio: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO at Residence at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol AI. [00:00:21]Swyx: Hey, and today we have in the remote studio, Jeremy Howard all the way from Australia. Good morning. [00:00:27]Jeremy: The remote studio, also known as my house. Good morning. Nice to see you. [00:00:32]Swyx: Nice to see you too. I'm actually very used to seeing you in your mask as a message to people, but today we're mostly audio. But thank you for doing the very important public service of COVID awareness. It was a pleasure. [00:00:46]Jeremy: It was all very annoying and frustrating and tedious, but somebody had to do it. [00:00:52]Swyx: Somebody had to do it, especially somebody with your profile. I think it really drives home the message. So we tend to introduce people for them and then ask people to fill in the blanks on the personal side. Something I did not know about you was that you graduated with a BA in philosophy from the University of Melbourne. I assumed you had a PhD. [00:01:14]Jeremy: No, I mean, I barely got through my BA because I was working 80 to 100 hour weeks at McKinsey and Company from 19 years old onwards. So I actually didn't attend any lectures in second and third year university. [00:01:35]Swyx: Well, I guess you didn't need it or you're very sort of self-driven and self-motivated. [00:01:39]Jeremy: I took two weeks off before each exam period when I was working at McKinsey. And then, I mean, I can't believe I got away with this in hindsight, I would go to all my professors and say, oh, I was meant to be in your class this semester and I didn't quite turn up. Were there any assignments I was meant to have done, whatever. I can't believe all of them let me basically have it. They basically always would say like, okay, well, if you can have this written by tomorrow, I'll accept it. So yeah, stressful way to get through university, but. [00:02:12]Swyx: Well, it shows that, I guess, you min-maxed the opportunities. That definitely was a precursor. [00:02:18]Jeremy: I mean, funnily, like in as much as I, you know, in philosophy, the things I found interesting and focused on in the little bit of time I did spend on it was ethics and cognitive science. And it's kind of really amazing that it's now come back around and those are actually genuinely useful things to know about, which I never thought would happen. [00:02:38]Swyx: A lot of, yeah, a lot of relevant conversations there. So you were a consultant for a while and then in the magical month of June 1989, you founded both Optimal Decisions and Fastmeal, which I also briefly used. So thank you for that. [00:02:53]Jeremy: Oh, good for you. Yeah. Cause I had read the statistics, which is that like 90% or something of small businesses fail. So I thought if I start two businesses, I have a higher chance. In hindsight, I was thinking of it as some kind of stochastic thing I didn't have control over, but it's a bit odd, but anyway. [00:03:10]Swyx: And then you were president and chief scientist at Kaggle, which obviously is the sort of composition platform of machine learning. And then Enlitic, where you were working on using deep learning to improve medical diagnostics and clinical decisions. Yeah. [00:03:28]Jeremy: I was actually the first company to use deep learning in medicine, so I kind of founded the field. [00:03:33]Swyx: And even now that's still like a pretty early phase. And I actually heard you on your new podcast with Tanish, where you went very, very deep into the stuff, the kind of work that he's doing, such a young prodigy at his age. [00:03:47]Jeremy: Maybe he's too old to be called a prodigy now, ex-prodigy. No, no. [00:03:51]Swyx: I think he still counts. And anyway, just to round out the bio, you have a lot more other credentials, obviously, but most recently you started Fast.ai, which is still, I guess, your primary identity with Rachel Thomas. So welcome. [00:04:05]Jeremy: Yep. [00:04:06]Swyx: Thanks to my wife. Thank you. Yeah. Doing a lot of public service there with getting people involved in AI, and I can't imagine a better way to describe it than fast, fast.ai. You teach people from nothing to stable diffusion in seven weeks or something, and that's amazing. Yeah, yeah. [00:04:22]Jeremy: I mean, it's funny, you know, when we started that, what was that, like 2016 or something, the idea that deep learning was something that you could make more accessible was generally considered stupid. Everybody knew that deep learning was a thing that you got a math or a computer science PhD, you know, there was one of five labs that could give you the appropriate skills and that you would join, yeah, basically from one of those labs, you might be able to write some papers. So yeah, the idea that normal people could use that technology to do good work was considered kind of ridiculous when we started it. And we weren't sure if it was possible either, but we kind of felt like we had to give it a go because the alternative was we were pretty sure that deep learning was on its way to becoming, you know, the most or one of the most, you know, important technologies in human history. And if the only people that could use it were a handful of computer science PhDs, that seemed like A, a big waste and B, kind of dangerous. [00:05:28]Swyx: Yeah. [00:05:29]Alessio: And, you know, well, I just wanted to know one thing on your bio that at Kaggle, you were also the top rank participant in both 2010 and 2011. So sometimes you see a lot of founders running companies that are not really in touch with the problem, but you were clearly building something that you knew a lot about, which is awesome. Talking about deep learning, you created, published a paper on ULM fit, which was kind of the predecessor to multitask learning and a lot of the groundwork that then went to into Transformers. I've read back on the paper and you turned this model, AWD LSTM, which I did the math and it was like 24 to 33 million parameters, depending on what training data set you use today. That's kind of like not even small, it's like super small. What were some of the kind of like contrarian takes that you had at the time and maybe set the stage a little bit for the rest of the audience on what was kind of like the state of the art, so to speak, at the time and what people were working towards? [00:06:32]Jeremy: Yeah, the whole thing was a contrarian take, you know. So okay, so we started Fast.ai, my wife and I, and we thought, yeah, so we're trying to think, okay, how do we make it more accessible? So when we started thinking about it, it was probably 2015 and then 2016, we started doing something about it. Why is it inaccessible? Okay, well, A, no one knows how to do it other than a few number of people. And then when we asked those few number of people, well, how do you actually get good results? They would say like, oh, it's like, you know, a box of tricks that aren't published. So you have to join one of the labs and learn the tricks. So a bunch of unpublished tricks, not much software around, but thankfully there was Theano and rappers and particularly Lasagna, the rapper, but yeah, not much software around, not much in the way of data sets, you know, very hard to get started in terms of the compute. Like how do you get that set up? So yeah, no, everything was kind of inaccessible. And you know, as we started looking into it, we had a key insight, which was like, you know what, most of the compute and data for image recognition, for example, we don't need to do it. You know, there's this thing which nobody knows about, nobody talks about called transfer learning, where you take somebody else's model, where they already figured out like how to detect edges and gradients and corners and text and whatever else, and then you can fine tune it to do the thing you want to do. And we thought that's the key. That's the key to becoming more accessible in terms of compute and data requirements. So when we started Fast.ai, we focused from day one on transfer learning. Lesson one, in fact, was transfer learning, literally lesson one, something not normally even mentioned in, I mean, there wasn't much in the way of courses, you know, the courses out there were PhD programs that had happened to have recorded their lessons and they would rarely mention it at all. We wanted to show how to do four things that seemed really useful. You know, work with vision, work with tables of data, work with kind of recommendation systems and collaborative filtering and work with text, because we felt like those four kind of modalities covered a lot of the stuff that, you know, are useful in real life. And no one was doing anything much useful with text. Everybody was talking about word2vec, you know, like king plus queen minus woman and blah, blah, blah. It was like cool experiments, but nobody's doing anything like useful with it. NLP was all like lemmatization and stop words and topic models and bigrams and SPMs. And it was really academic and not practical. But I mean, to be honest, I've been thinking about this crazy idea for nearly 30 years since I had done cognitive science at university, where we talked a lot about the CELS Chinese room experiment. This idea of like, what if there was somebody that could kind of like, knew all of the symbolic manipulations required to answer questions in Chinese, but they didn't speak Chinese and they were kind of inside a room with no other way to talk to the outside world other than taking in slips of paper with Chinese written on them and then they do all their rules and then they pass back a piece of paper with Chinese back. And this room with a person in is actually fantastically good at answering any question you give them written in Chinese. You know, do they understand Chinese? And is this, you know, something that's intelligently working with Chinese? Ever since that time, I'd say the most thought, to me, the most thoughtful and compelling philosophical response is yes. You know, intuitively it feels like no, because that's just because we can't imagine such a large kind of system. But you know, if it looks like a duck and acts like a duck, it's a duck, you know, or to all intents and purposes. And so I always kind of thought, you know, so this is basically a kind of analysis of the limits of text. And I kind of felt like, yeah, if something could ingest enough text and could use the patterns it saw to then generate text in response to text, it could appear to be intelligent, you know. And whether that means it is intelligent or not is a different discussion and not one I find very interesting. Yeah. And then when I came across neural nets when I was about 20, you know, what I learned about the universal approximation theorem and stuff, and I started thinking like, oh, I wonder if like a neural net could ever get big enough and take in enough data to be a Chinese room experiment. You know, with that background and this kind of like interest in transfer learning, you know, I'd been thinking about this thing for kind of 30 years and I thought like, oh, I wonder if we're there yet, you know, because we have a lot of text. Like I can literally download Wikipedia, which is a lot of text. And I thought, you know, how would something learn to kind of answer questions or, you know, respond to text? And I thought, well, what if we used a language model? So language models are already a thing, you know, they were not a popular or well-known thing, but they were a thing. But language models exist to this idea that you could train a model to fill in the gaps. Or actually in those days it wasn't fill in the gaps, it was finish a string. And in fact, Andrej Karpathy did his fantastic RNN demonstration from this at a similar time where he showed like you can have it ingest Shakespeare and it will generate something that looks a bit like Shakespeare. I thought, okay, so if I do this at a much bigger scale, using all of Wikipedia, what would it need to be able to do to finish a sentence in Wikipedia effectively, to do it quite accurately quite often? I thought, geez, it would actually have to know a lot about the world, you know, it'd have to know that there is a world and that there are objects and that objects relate to each other through time and cause each other to react in ways and that causes proceed effects and that, you know, when there are animals and there are people and that people can be in certain positions during certain timeframes and then you could, you know, all that together, you can then finish a sentence like this was signed into law in 2016 by US President X and it would fill in the gap, you know. So that's why I tried to create what in those days was considered a big language model trained on the entirety on Wikipedia, which is that was, you know, a bit unheard of. And my interest was not in, you know, just having a language model. My interest was in like, what latent capabilities would such a system have that would allow it to finish those kind of sentences? Because I was pretty sure, based on our work with transfer learning and vision, that I could then suck out those latent capabilities by transfer learning, you know, by fine-tuning it on a task data set or whatever. So we generated this three-step system. So step one was train a language model on a big corpus. Step two was fine-tune a language model on a more curated corpus. And step three was further fine-tune that model on a task. And of course, that's what everybody still does today, right? That's what ChatGPT is. And so the first time I tried it within hours, I had a new state-of-the-art academic result on IMDB. And I was like, holy s**t, it does work. And so you asked, to what degree was this kind of like pushing against the established wisdom? You know, every way. Like the reason it took me so long to try it was because I asked all my friends in NLP if this could work. And everybody said, no, it definitely won't work. It wasn't like, oh, maybe. Everybody was like, it definitely won't work. NLP is much more complicated than vision. Language is a much more vastly complicated domain. You know, and you've got problems like the grounding problem. We know from like philosophy and theory of mind that it's actually impossible for it to work. So yeah, so don't waste your time. [00:15:10]Alessio: Jeremy, had people not tried because it was like too complicated to actually get the data and like set up the training? Or like, were people just lazy and kind of like, hey, this is just not going to work? [00:15:20]Jeremy: No, everybody wasn't lazy. So like, so the person I thought at that time who, you know, there were two people I thought at that time, actually, who were the strongest at language models were Stephen Merity and Alec Radford. And at the time I didn't know Alec, but I, after we had both, after I'd released ULM Fit and he had released GPT, I organized a chat for both of us with Kate Metz in the New York Times. And Kate Metz answered, sorry, and Alec answered this question for Kate. And Kate was like, so how did, you know, GPT come about? And he said, well, I was pretty sure that pre-training on a general large corpus wouldn't work. So I hadn't tried it. And then I read ULM Fit and turns out it did work. And so I did it, you know, bigger and it worked even better. And similar with, with Stephen, you know, I asked Stephen Merity, like, why don't we just find, you know, take your AWD-ASTLM and like train it on all of Wikipedia and fine tune it? And he's kind of like, well, I don't think that's going to really lie. Like two years before I did a very popular talk at KDD, the conference where everybody in NLP was in the audience. I recognized half the faces, you know, and I told them all this, I'm sure transfer learning is the key. I'm sure ImageNet, you know, is going to be an NLP thing as well. And, you know, everybody was interested and people asked me questions afterwards and, but not just, yeah, nobody followed up because everybody knew that it didn't work. I mean, even like, so we were scooped a little bit by Dai and Lee, Kwok Lee at Google. They had, they had, I already, I didn't even realize this, which is a bit embarrassing. They had already done a large language model and fine tuned it. But again, they didn't create a general purpose, large language model on a general purpose corpus. They only ever tested a domain specific corpus. And I haven't spoken to Kwok actually about that, but I assume that the reason was the same. It probably just didn't occur to them that the general approach could work. So maybe it was that kind of 30 years of mulling over the, the cell Chinese room experiment that had convinced me that it probably would work. I don't know. Yeah. [00:17:48]Alessio: Interesting. I just dug up Alec announcement tweet from 2018. He said, inspired by Cobe, Elmo, and Yola, I'm fit. We should have a single transformer language model can be fine tuned to a wide variety. It's interesting because, you know, today people think of AI as the leader, kind of kind of like the research lab pushing forward the field. What was that at the time? You know, like kind of like going back five years, people think of it as an overnight success, but obviously it took a while. [00:18:16]Swyx: Yeah. Yeah. [00:18:17]Jeremy: No, I mean, absolutely. And I'll say like, you know, it's interesting that it mentioned Elmo because in some ways that was kind of diametrically opposed to, to ULM fit. You know, there was these kind of like, so there was a lot of, there was a lot of activity at the same time as ULM fits released. So there was, um, so before it, as Brian McCann, I think at Salesforce had come out with this neat model that did a kind of multitask learning, but again, they didn't create a general fine tune language model first. There was Elmo, um, which I think was a lip, you know, actually quite a few months after the first ULM fit example, I think. Um, but yeah, there was a bit of this stuff going on. And the problem was everybody was doing, and particularly after GPT came out, then everybody wanted to focus on zero shot and few shot learning. You know, everybody hated fine tuning. Everybody hated transfer learning. And like, I literally did tours trying to get people to start doing transfer learning and people, you know, nobody was interested, particularly after GPT showed such good results with zero shot and few shot learning. And so I actually feel like we kind of went backwards for years and, and not to be honest, I mean, I'm a bit sad about this now, but I kind of got so disappointed and dissuaded by like, it felt like these bigger lab, much bigger labs, you know, like fast AI had only ever been just me and Rachel were getting all of this attention for an approach I thought was the wrong way to do it. You know, I was convinced was the wrong way to do it. And so, yeah, for years people were really focused on getting better at zero shot and few shots and it wasn't until, you know, this key idea of like, well, let's take the ULM fit approach, but for step two, rather than fine tuning on a kind of a domain corpus, let's fine tune on an instruction corpus. And then in step three, rather than fine tuning on a reasonably specific task classification, let's fine tune on a, on a RLHF task classification. And so that was really, that was really key, you know, so I was kind of like out of the NLP field for a few years there because yeah, it just felt like, I don't know, pushing uphill against this vast tide, which I was convinced was not the right direction, but who's going to listen to me, you know, cause I, as you said, I don't have a PhD, not at a university, or at least I wasn't then. I don't have a big set of computers to fine tune huge transformer models. So yeah, it was definitely difficult. It's always been hard. You know, it's always been hard. Like I've always been somebody who does not want to build stuff on lots of big computers because most people don't have lots of big computers and I hate creating stuff that most people can't use, you know, and also stuff that's created on lots of big computers has always been like much more media friendly. So like, it might seem like a recent thing, but actually throughout my 30 years in data science, the attention's always been on, you know, the big iron results. So when I first started, everybody was talking about data warehouses and it was all about Teradata and it'd be like, oh, this big bank has this huge room full of computers and they have like terabytes of data available, you know, at the press of a button. And yeah, that's always what people want to talk about, what people want to write about. And then of course, students coming out of their PhDs and stuff, that's where they want to go work because that's where they read about. And to me, it's a huge distraction, you know, because like I say, most people don't have unlimited compute and I want to help most people, not the small subset of the most well-off people. [00:22:16]Alessio: That's awesome. And it's great to hear, you do such a great job educating that a lot of times you're not telling your own story, you know? So I love this conversation. And the other thing before we jump into Fast.AI, actually, a lot of people that I know, they run across a new architecture and whatnot, they're like, I got to start a company and raise a bunch of money and do all of this stuff. And say, you were like, I want everybody to have access to this. Why was that the case for you? Was it because you already had a successful venture in like FastMail and you were more interested in that? What was the reasoning? [00:22:52]Jeremy: It's a really good question. So I guess the answer is yes, that's the reason why. So when I was a teenager, I thought it would be really cool to like have my own company. You know, I didn't know the word startup. I didn't know the word entrepreneur. I didn't know the word VC. And I didn't really know what any of those things were really until after we started Kaggle, to be honest. Even the way it started to what we now call startups. I just thought they were just small businesses. You know, they were just companies. So yeah, so those two companies were FastMail and Optimal Decisions. FastMail was the first kind of synchronized email provider for non-businesses. So something you can get your same email at home, on your laptop, at work, on your phone, whatever. And then Optimal Decisions invented a new approach to insurance pricing. Something called profit-optimized insurance pricing. So I saw both of those companies, you know, after 10 years. And at that point, I had achieved the thing that as a teenager I had wanted to do. You know, it took a lot longer than it should have because I spent way longer in management consulting than I should have because I got caught up in that stupid rat race. But, you know, eventually I got there and I remember my mom saying to me, you must be so proud. You know, because she remembered my dream. She's like, you've done it. And I kind of reflected and I was like, I'm not proud at all. You know, like people quite liked FastMail. You know, it's quite nice to have synchronized email. It probably would have happened anyway. Yeah, I'm certainly not proud that I've helped some insurance companies suck more money out of their customers. Yeah, no, I'm not proud. You know, it's actually, I haven't really helped the world very much. You know, maybe in the insurance case I've made it a little bit worse. I don't know. So, yeah, I was determined to not waste more years of my life doing things, working hard to do things which I could not be reasonably sure would have a lot of value. So, you know, I took some time off. I wasn't sure if I'd ever work again, actually. I didn't particularly want to, because it felt like, yeah, it felt like such a disappointment. And, but, you know, and I didn't need to. I had enough money. Like, I wasn't super rich, but I had enough money. I didn't need to work. And I certainly recognized that amongst the other people I knew who had enough money that they didn't need to work, they all worked ridiculously hard, you know, and constantly put themselves in extremely stressful situations. And I thought, I don't want to be one of those idiots who's tied to, you know, buying a bigger plane than the next guy or whatever. You know, Kaggle came along and I mainly kind of did that just because it was fun and interesting to hang out with interesting people. But, you know, with Fast.ai in particular, you know, Rachel and I had a very explicit, you know, long series of conversations over a long period of time about like, well, how can we be the most helpful to society as a whole, and particularly to those people who maybe need more help, you know? And so we definitely saw the world going in a potentially pretty dystopian direction if the world's most powerful technology was controlled by a small group of elites. So we thought, yeah, we should focus on trying to help that not happen. You know, sadly, it looks like it still is likely to happen. But I mean, I feel like we've helped make it a little bit less likely. So we've done our bit. [00:26:39]Swyx: You've shown that it's possible. And I think your constant advocacy, your courses, your research that you publish, you know, just the other day you published a finding on, you know, learning that I think is still something that people are still talking about quite a lot. I think that that is the origin story of a lot of people who are going to be, you know, little Jeremy Howards, furthering your mission with, you know, you don't have to do everything by yourself is what I'm saying. No, definitely. Definitely. [00:27:10]Jeremy: You know, that was a big takeaway from like, analytic was analytic. It definitely felt like we had to do everything ourselves. And I kind of, I wanted to solve medicine. I'll say, yeah, okay, solving medicine is actually quite difficult. And I can't do it on my own. And there's a lot of other things I'd like to solve, and I can't do those either. So that was definitely the other piece was like, yeah, you know, can we create an army of passionate domain experts who can change their little part of the world? And that's definitely happened. Like I find nowadays, at least half the time, probably quite a bit more that I get in contact with somebody who's done really interesting work in some domain. Most of the time I'd say, they say, yeah, I got my start with fast.ai. So it's definitely, I can see that. And I also know from talking to folks at places like Amazon and Adobe and stuff, which, you know, there's lots of alumni there. And they say, oh my God, I got here. And like half of the people are fast.ai alumni. So it's fantastic. [00:28:13]Swyx: Yeah. [00:28:14]Jeremy: Actually, Andre Kapathy grabbed me when I saw him at NeurIPS a few years ago. And he was like, I have to tell you, thanks for the fast.ai courses. When people come to Tesla and they need to know more about deep learning, we always send them to your course. And the OpenAI Scholars Program was doing the same thing. So it's kind of like, yeah, it's had a surprising impact, you know, that's just one of like three things we do is the course, you know. [00:28:40]Swyx: Yes. [00:28:40]Jeremy: And it's only ever been at most two people, either me and Rachel or me and Sylvia nowadays, it's just me. So yeah, I think it shows you don't necessarily need a huge amount of money and a huge team of people to make an impact. [00:28:56]Swyx: Yeah. So just to reintroduce fast.ai for people who may not have dived into it much, there is the courses that you do. There is the library that is very well loved. And I kind of think of it as a nicer layer on top of PyTorch that people should start with by default and use it as the basis for a lot of your courses. And then you have like NBDev, which I don't know, is that the third one? [00:29:27]Jeremy: Oh, so the three areas were research, software, and courses. [00:29:32]Swyx: Oh, sorry. [00:29:32]Jeremy: So then in software, you know, fast.ai is the main thing, but NBDev is not far behind. But then there's also things like FastCore, GHAPI, I mean, dozens of open source projects that I've created and some of them have been pretty popular and some of them are still a little bit hidden, actually. Some of them I should try to do a better job of telling people about. [00:30:01]Swyx: What are you thinking about? Yeah, what's on the course of my way? Oh, I don't know, just like little things. [00:30:04]Jeremy: Like, for example, for working with EC2 and AWS, I created a FastEC2 library, which I think is like way more convenient and nice to use than anything else out there. And it's literally got a whole autocomplete, dynamic autocomplete that works both on the command line and in notebooks that'll like auto-complete your instance names and everything like that. You know, just little things like that. I try to make like, when I work with some domain, I try to make it like, I want to make it as enjoyable as possible for me to do that. So I always try to kind of like, like with GHAPI, for example, I think that GitHub API is incredibly powerful, but I didn't find it good to work with because I didn't particularly like the libraries that are out there. So like GHAPI, like FastEC2, it like autocompletes both at the command line or in a notebook or whatever, like literally the entire GitHub API. The entire thing is like, I think it's like less than 100K of code because it actually, as far as I know, the only one that grabs it directly from the official open API spec that GitHub produces. And like if you're in GitHub and you just type an API, you know, autocomplete API method and hit enter, it prints out the docs with brief docs and then gives you a link to the actual documentation page. You know, GitHub Actions, I can write now in Python, which is just so much easier than writing them in TypeScript and stuff. So, you know, just little things like that. [00:31:40]Swyx: I think that's an approach which more developers took to publish some of their work along the way. You described the third arm of FastAI as research. It's not something I see often. Obviously, you do do some research. And how do you run your research? What are your research interests? [00:31:59]Jeremy: Yeah, so research is what I spend the vast majority of my time on. And the artifacts that come out of that are largely software and courses. You know, so to me, the main artifact shouldn't be papers because papers are things read by a small exclusive group of people. You know, to me, the main artifacts should be like something teaching people, here's how to use this insight and here's software you can use that builds it in. So I think I've only ever done three first-person papers in my life, you know, and none of those are ones I wanted to do. You know, they were all ones that, like, so one was ULM Fit, where Sebastian Ruder reached out to me after seeing the course and said, like, you have to publish this as a paper, you know. And he said, I'll write it. He said, I want to write it because if I do, I can put it on my PhD and that would be great. And it's like, okay, well, I want to help you with your PhD. And that sounds great. So like, you know, one was the masks paper, which just had to exist and nobody else was writing it. And then the third was the Fast.ai library paper, which again, somebody reached out and said, please, please write this. We will waive the fee for the journal and everything and actually help you get it through publishing and stuff. So yeah, so I don't, other than that, I've never written a first author paper. So the research is like, well, so for example, you know, Dawn Bench was a competition, which Stanford ran a few years ago. It was kind of the first big competition of like, who can train neural nets the fastest rather than the most accurate. And specifically it was who can train ImageNet the fastest. And again, this was like one of these things where it was created by necessity. So Google had just released their TPUs. And so I heard from my friends at Google that they had put together this big team to smash Dawn Bench so that they could prove to people that they had to use Google Cloud and use their TPUs and show how good their TPUs were. And we kind of thought, oh s**t, this would be a disaster if they do that, because then everybody's going to be like, oh, deep learning is not accessible. [00:34:20]Swyx: You know, to actually be good at it, [00:34:21]Jeremy: you have to be Google and you have to use special silicon. And so, you know, we only found out about this 10 days before the competition finished. But, you know, we basically got together an emergency bunch of our students and Rachel and I and sat for the next 10 days and just tried to crunch through and try to use all of our best ideas that had come from our research. And so particularly progressive resizing, just basically train mainly on small things, train on non-square things, you know, stuff like that. And so, yeah, we ended up winning, thank God. And so, you know, we turned it around from being like, like, oh s**t, you know, this is going to show that you have to be Google and have TPUs to being like, oh my God, even the little guy can do deep learning. So that's an example of the kind of like research artifacts we do. And yeah, so all of my research is always, how do we do more with less, you know? So how do we get better results with less data, with less compute, with less complexity, with less education, you know, stuff like that. So ULM fits obviously a good example of that. [00:35:37]Swyx: And most recently you published, can LLMs learn from a single example? Maybe could you tell the story a little bit behind that? And maybe that goes a little bit too far into the learning of very low resource, the literature. [00:35:52]Jeremy: Yeah, yeah. So me and my friend, Jono Whittaker, basically had been playing around with this fun Kaggle competition, which is actually still running as we speak, which is, can you create a model which can answer multiple choice questions about anything that's in Wikipedia? And the thing that makes it interesting is that your model has to run on Kaggle within nine hours. And Kaggle's very, very limited. So you've only got 14 gig RAM, only two CPUs, and a small, very old GPU. So this is cool, you know, if you can do well at this, then this is a good example of like, oh, you can do more with less. So yeah, Jono and I were playing around with fine tuning, of course, transfer learning, pre-trained language models. And we saw this, like, so we always, you know, plot our losses as we go. So here's another thing we created. Actually, Sylvain Guuger, when he worked with us, created called fast progress, which is kind of like TQEDM, but we think a lot better. So we look at our fast progress curves, and they kind of go down, down, down, down, down, down, down, a little bit, little bit, little bit. And then suddenly go clunk, and they drop. And then down, down, down, down, down a little bit, and then suddenly clunk, they drop. We're like, what the hell? These clunks are occurring at the end of each epoch. So normally in deep learning, this would be, this is, you know, I've seen this before. It's always been a bug. It's always turned out that like, oh, we accidentally forgot to turn on eval mode during the validation set. So I was actually learning then, or, oh, we accidentally were calculating moving average statistics throughout the epoch. So, you know, so it's recently moving average or whatever. And so we were using Hugging Face Trainer. So, you know, I did not give my friends at Hugging Face the benefit of the doubt. I thought, oh, they've fucked up Hugging Face Trainer, you know, idiots. Well, you'll use the Fast AI Trainer instead. So we switched over to Learner. We still saw the clunks and, you know, that's, yeah, it shouldn't really happen because semantically speaking in the epoch, isn't like, it's not a thing, you know, like nothing happens. Well, nothing's meant to happen when you go from ending one epoch to starting the next one. So there shouldn't be a clunk, you know. So I kind of asked around on the open source discords. That's like, what's going on here? And everybody was just like, oh, that's just what, that's just what these training curves look like. Those all look like that. Don't worry about it. And I was like, oh, are you all using Trainer? Yes. Oh, well, there must be some bug with Trainer. And I was like, well, we also saw it in Learner [00:38:42]Swyx: and somebody else is like, [00:38:42]Jeremy: no, we've got our own Trainer. We get it as well. They're just like, don't worry about it. It's just something we see. It's just normal. [00:38:48]Swyx: I can't do that. [00:38:49]Jeremy: I can't just be like, here's something that's like in the previous 30 years of neural networks, nobody ever saw it. And now suddenly we see it. [00:38:57]Swyx: So don't worry about it. [00:38:59]Jeremy: I just, I have to know why. [00:39:01]Swyx: Can I clarify? This is, was everyone that you're talking to, were they all seeing it for the same dataset or in different datasets? [00:39:08]Jeremy: Different datasets, different Trainers. They're just like, no, this is just, this is just what it looks like when you fine tune language models. Don't worry about it. You know, I hadn't seen it before, but I'd been kind of like, as I say, I, you know, I kept working on them for a couple of years after ULM fit. And then I kind of moved on to other things, partly out of frustration. So I hadn't been fine tuning, you know, I mean, Lama's only been out for a few months, right? But I wasn't one of those people who jumped straight into it, you know? So I was relatively new to the kind of Lama fine tuning world, where else these guys had been, you know, doing it since day one. [00:39:49]Swyx: It was only a few months ago, [00:39:51]Jeremy: but it's still quite a bit of time. So, so yeah, they're just like, no, this is all what we see. [00:39:56]Swyx: Don't worry about it. [00:39:56]Jeremy: So yeah, I, I've got a very kind of like, I don't know, I've just got this brain where I have to know why things are. And so I kind of, I ask people like, well, why, why do you think it's happening? And they'd be like, oh, it would pretty obviously, cause it's like memorize the data set. It's just like, that can't be right. It's only seen it once. Like, look at this, the loss has dropped by 0.3, 0.3, which is like, basically it knows the answer. And like, no, no, it's just, it is, it's just memorize the data set. So yeah. So look, Jono and I did not discover this and Jono and I did not come up with a hypothesis. You know, I guess we were just the ones, I guess, who had been around for long enough to recognize that like, this, this isn't how it's meant to work. And so we, we, you know, and so we went back and like, okay, let's just run some experiments, you know, cause nobody seems to have actually published anything about this. [00:40:51]Well, not quite true.Some people had published things, but nobody ever actually stepped back and said like, what the hell, you know, how can this be possible? Is it possible? Is this what's happening? And so, yeah, we created a bunch of experiments where we basically predicted ahead of time. It's like, okay, if this hypothesis is correct, that it's memorized in the training set, then we ought to see blah, under conditions, blah, but not under these conditions. And so we ran a bunch of experiments and all of them supported the hypothesis that it was memorizing the data set in a single thing at once. And it's a pretty big data set, you know, which in hindsight, it's not totally surprising because the theory, remember, of the ULMFiT theory was like, well, it's kind of creating all these latent capabilities to make it easier for it to predict the next token. So if it's got all this kind of latent capability, it ought to also be really good at compressing new tokens because it can immediately recognize it as like, oh, that's just a version of this. So it's not so crazy, you know, but it is, it requires us to rethink everything because like, and nobody knows like, okay, so how do we fine tune these things? Because like, it doesn't even matter. Like maybe it's fine. Like maybe it's fine that it's memorized the data set after one go and you do a second go and okay, the validation loss is terrible because it's now really overconfident. [00:42:20]Swyx: That's fine. [00:42:22]Jeremy: Don't, you know, don't, I keep telling people, don't track validation loss, track validation accuracy because at least that will still be useful. Just another thing that's got lost since ULMFiT, nobody tracks accuracy of language models anymore. But you know, it'll still keep learning and it does, it does keep improving. But is it worse? You know, like, is it like, now that it's kind of memorized it, it's probably getting a less strong signal, you know, I don't know. So I still don't know how to fine tune language models properly and I haven't found anybody who feels like they do, like nobody really knows whether this memorization thing is, it's probably a feature in some ways. It's probably some things that you can do usefully with it. It's probably, yeah, I have a feeling it's messing up training dynamics as well. [00:43:13]Swyx: And does it come at the cost of catastrophic forgetting as well, right? Like, which is the other side of the coin. [00:43:18]Jeremy: It does to some extent, like we know it does, like look at Code Llama, for example. So Code Llama was a, I think it was like a 500 billion token fine tuning of Llama 2 using code. And also pros about code that Meta did. And honestly, they kind of blew it because Code Llama is good at coding, but it's bad at everything else, you know, and it used to be good. Yeah, I was pretty sure it was like, before they released it, me and lots of people in the open source discords were like, oh my God, you know, we know this is coming, Jan Lukinsk saying it's coming. I hope they kept at least like 50% non-code data because otherwise it's going to forget everything else. And they didn't, only like 0.3% of their epochs were non-code data. So it did, it forgot everything else. So now it's good at code and it's bad at everything else. So we definitely have catastrophic forgetting. It's fixable, just somebody has to do, you know, somebody has to spend their time training a model on a good mix of data. Like, so, okay, so here's the thing. Even though I originally created three-step approach that everybody now does, my view is it's actually wrong and we shouldn't use it. [00:44:36]Jeremy: And that's because people are using it in a way different to why I created it. You know, I created it thinking the task-specific models would be more specific. You know, it's like, oh, this is like a sentiment classifier as an example of a task, you know, but the tasks now are like a, you know, RLHF, which is basically like answer questions that make people feel happy about your answer. So that's a much more general task and it's a really cool approach. And so we see, for example, RLHF also breaks models like, you know, like GPT-4, RLHDEFT, we know from kind of the work that Microsoft did, you know, the pre, the earlier, less aligned version was better. And these are all kind of examples of catastrophic forgetting. And so to me, the right way to do this is to fine-tune language models, is to actually throw away the idea of fine-tuning. There's no such thing. There's only continued pre-training. And pre-training is something where from the very start, you try to include all the kinds of data that you care about, all the kinds of problems that you care about, instructions, exercises, code, general purpose document completion, whatever. And then as you train, you gradually curate that, you know, you gradually make that higher and higher quality and more and more specific to the kinds of tasks you want it to do. But you never throw away any data. You always keep all of the data types there in reasonably high quantities. You know, maybe the quality filter, you stop training on low quality data, because that's probably fine to forget how to write badly, maybe. So yeah, that's now my view, is I think ULM fit is the wrong approach. And that's why we're seeing a lot of these, you know, so-called alignment tacks and this view of like, oh, a model can't both code and do other things. And, you know, I think it's actually because people are training them wrong. [00:46:47]Swyx: Yeah, well, I think you have a clear [00:46:51]Alessio: anti-laziness approach. I think other people are not as good hearted, you know, they're like, [00:46:57]Swyx: hey, they told me this thing works. [00:46:59]Alessio: And if I release a model this way, people will appreciate it, I'll get promoted and I'll kind of make more money. [00:47:06]Jeremy: Yeah, and it's not just money. It's like, this is how citations work most badly, you know, so if you want to get cited, you need to write a paper that people in your field recognize as an advancement on things that we know are good. And so we've seen this happen again and again. So like I say, like zero shot and few shot learning, everybody was writing about that. Or, you know, with image generation, everybody just was writing about GANs, you know, and I was trying to say like, no, GANs are not the right approach. You know, and I showed again through research that we demonstrated in our videos that you can do better than GANs, much faster and with much less data. And nobody cared because again, like if you want to get published, you write a GAN paper that slightly improves this part of GANs and this tiny field, you'll get published, you know. So it's, yeah, it's not set up for real innovation. It's, you know, again, it's really helpful for me, you know, I have my own research lab with nobody telling me what to do and I don't even publish. So it doesn't matter if I get citations. And so I just write what I think actually matters. I wish there was, and, you know, and actually places like OpenAI, you know, the researchers there can do that as well. It's a shame, you know, I wish there was more academic, open venues in which people can focus on like genuine innovation. [00:48:38]Swyx: Twitter, which is unironically has become a little bit of that forum. I wanted to follow up on one thing that you mentioned, which is that you checked around the open source discords. I don't know if it's too, I don't know if it's a pusher to ask like what discords are lively or useful right now. I think that something I definitely felt like I missed out on was the early days of Luther AI, which is a very hard bit. And, you know, like what is the new Luther? And you actually shouted out the alignment lab AI discord in your blog post. And that was the first time I even knew, like I saw them on Twitter, never knew they had a discord, never knew that there was actually substantive discussions going on in there and that you were an active member of it. Okay, yeah. [00:49:23]Jeremy: And then even then, if you do know about that and you go there, it'll look like it's totally dead. And that's because unfortunately, nearly all the discords, nearly all of the conversation happens in private channels. You know, and that's, I guess. [00:49:35]Swyx: How does someone get into that world? Because it's obviously very, very instructive, right? [00:49:42]Jeremy: You could just come to the first AI discord, which I'll be honest with you, it's less bustling than some of the others, but it's not terrible. And so like, at least, to be fair, one of Emma's bustling channels is private. [00:49:57]Swyx: I guess. [00:49:59]Jeremy: So I'm just thinking. [00:50:01]Swyx: It's just the nature of quality discussion, right? Yeah, I guess when I think about it, [00:50:05]Jeremy: I didn't have any private discussions on our discord for years, but there was a lot of people who came in with like, oh, I just had this amazing idea for AGI. If you just thought about like, if you imagine that AI is a brain, then we, you know, this just, I don't want to talk about it. You know, I don't want to like, you don't want to be dismissive or whatever. And it's like, oh, well, that's an interesting comment, but maybe you should like, try training some models first to see if that aligns with your intuition. Like, oh, but how could I possibly learn? It's like, well, we have a course, just actually spend time learning. Like, you know, anyway. And there's like, okay, I know the people who always have good answers there. And so I created a private channel and put them all in it. And I got to admit, that's where I post more often because there's much less, you know, flight of fancy views about how we could solve AGI, blah, blah, blah. So there is a bit of that. But having said that, like, I think the bar is pretty low. Like if you join a Discord and you can hit the like participants or community or whatever button, you can see who's in it. And then you'll see at the top, who the admins or moderators or people in the dev role are. And just DM one of them and say like, oh, here's my GitHub. Well, here's some blog posts I wrote. You know, I'm interested in talking about this, you know, can I join the private channels? And I've never heard of anybody saying no. I will say, you know, Alutha's all pretty open. So you can do the Alutha Discord still. You know, one problem with the Alutha Discord is it's been going on for so long that it's like, it's very inside baseball. It's quite hard to get started. Yeah. Carpa AI looks, I think it's all open. That's just less stability. That's more accessible. [00:52:03]Swyx: Yeah. [00:52:04]Jeremy: There's also just recently, now it's research that does like the Hermes models and data set just opened. They've got some private channels, but it's pretty open, I think. You mentioned Alignment Lab, that one it's all the interesting stuff is on private channels. So just ask. If you know me, ask me, cause I've got admin on that one. There's also, yeah, OS Skunkworks, OS Skunkworks AI is a good Discord, which I think it's open. So yeah, they're all pretty good. [00:52:40]Swyx: I don't want you to leak any, you know, Discords that don't want any publicity, but this is all helpful. [00:52:46]Jeremy: We all want people, like we all want people. [00:52:49]Swyx: We just want people who like, [00:52:51]Jeremy: want to build stuff, rather than people who, and like, it's fine to not know anything as well, but if you don't know anything, but you want to tell everybody else what to do and how to do it, that's annoying. If you don't know anything and want to be told like, here's a really small kind of task that as somebody who doesn't know anything is going to take you a really long time to do, but it would still be helpful. Then, and then you go and do it. That would be great. The truth is, yeah, [00:53:19]Swyx: like, I don't know, [00:53:20]Jeremy: maybe 5% of people who come in with great enthusiasm and saying that they want to learn and they'll do anything. [00:53:25]Swyx: And then somebody says like, [00:53:25]Jeremy: okay, here's some work you can do. Almost nobody does that work. So if you're somebody who actually does the work and follows up, you will massively stand out. That's an extreme rarity. And everybody will then want to help you do more work. [00:53:41]Swyx: So yeah. [00:53:41]Jeremy: So just, yeah, just do work and people will want to support you. [00:53:47]Alessio: Our Discord used to be referral only for a long time. We didn't have a public invite and then we opened it and they're kind of like channel gating. Yeah. A lot of people just want to do, I remember it used to be like, you know, a forum moderator. [00:54:00]Swyx: It's like people just want to do [00:54:01]Alessio: like drive-by posting, [00:54:03]Swyx: you know, and like, [00:54:03]Alessio: they don't want to help the community. They just want to get their question answered. [00:54:07]Jeremy: I mean, the funny thing is our forum community does not have any of that garbage. You know, there's something specific about the low latency thing where people like expect an instant answer. And yeah, we're all somehow in a forum thread where they know it's like there forever. People are a bit more thoughtful, but then the forums are less active than they used to be because Discord has got more popular, you know? So it's all a bit of a compromise, you know, running a healthy community is, yeah, it's always a bit of a challenge. All right, we got so many more things [00:54:47]Alessio: we want to dive in, but I don't want to keep you here for hours. [00:54:50]Swyx: This is not the Lex Friedman podcast [00:54:52]Alessio: we always like to say. One topic I would love to maybe chat a bit about is Mojo, modular, you know, CrystalLiner, not many of you on the podcast. So we want to spend a little time there. You recently did a hacker's guide to language models and you ran through everything from quantized model to like smaller models, larger models, and all of that. But obviously modular is taking its own approach. Yeah, what got you excited? I know you and Chris have been talking about this for like years and a lot of the ideas you had, so. [00:55:23]Jeremy: Yeah, yeah, yeah, yeah, no, absolutely. So I met Chris, I think it was at the first TensorFlow Dev Summit. And I don't think he had even like, I'm not sure if he'd even officially started his employment with Google at that point. So I don't know, you know, certainly nothing had been mentioned. So I, you know, I admired him from afar with LLVM and Swift and whatever. And so I saw him walk into the courtyard at Google. It's just like, oh s**t, man, that's Chris Latner. I wonder if he would lower his standards enough to talk to me. Well, worth a try. So I caught up my courage because like nobody was talking to him. He looked a bit lost and I wandered over and it's like, oh, you're Chris Latner, right? It's like, what are you doing here? What are you doing here? And I was like, yeah, yeah, yeah. It's like, oh, I'm Jeremy Howard. It's like, oh, do you do some of this AI stuff? And I was like, yeah, yeah, I like this AI stuff. Are you doing AI stuff? It's like, well, I'm thinking about starting to do some AI stuff. Yeah, I think it's going to be cool. And it's like, wow. So like, I spent the next half hour just basically brain dumping all the ways in which AI was stupid to him. And he listened patiently. And I thought he probably wasn't even remember or care or whatever. But yeah, then I kind of like, I guess I re-caught up with him a few months later. And it's like, I've been thinking about everything you said in that conversation. And he like narrated back his response to every part of it, projects he was planning to do. And it's just like, oh, this dude follows up. Holy s**t. And I was like, wow, okay. And he was like, yeah, so we're going to create this new thing called Swift for TensorFlow. And it's going to be like, it's going to be a compiler with auto differentiation built in. And blah, blah, blah. And I was like, why would that help? [00:57:10]Swyx: You know, why would you? [00:57:10]Jeremy: And he was like, okay, with a compiler during the forward pass, you don't have to worry about saving context, you know, because a lot will be optimized in the backward. But I was like, oh my God. Because I didn't really know much about compilers. You know, I spent enough to kind of like, understand the ideas, but it hadn't occurred to me that a compiler basically solves a lot of the problems we have as end users. I was like, wow, that's amazing. Okay, you do know, right, that nobody's going to use this unless it's like usable. It's like, yeah, I know, right. So I was thinking you should create like a fast AI for this. So, okay, but I don't even know Swift. And he was like, well, why don't you start learning it? And if you have any questions, ask me. It's just like, holy s**t. Like, not only has Chris Latner lowered his standards enough to talk to me, but he's offering me personal tutoring on the programming language that he made. So I was just like, I'm not g
The AI Asia Pacific Institute (AIAPI) is hosting a series of conversations with leading artificial intelligence (AI) experts to study ChatGPT and its risks, looking to arrive at tangible recommendations for regulators and policymakers. These experts include Dr. Toby Walsh, Dr. Stuart Russell, Dr. Pedro Domingos, and Dr. Luciano Floridi, as well as our internal advisory board and research affiliates. We have published a briefing note outlining some of the critical risks of generative AI and highlighting potential concerns. The following is a conversation with Dr. Pedro Domingos. Dr. Pedro Domingos is a professor emeritus of computer science and engineering at the University of Washington and the author of The Master Algorithm. He is a winner of the SIGKDD Innovation Award and the IJCAI John McCarthy Award, two of the highest honors in data science and AI. He is a Fellow of the AAAS and AAAI, and has received an NSF CAREER Award, a Sloan Fellowship, a Fulbright Scholarship, an IBM Faculty Award, several best paper awards, and other distinctions. Dr. Domingos received an undergraduate degree (1988) and M.S. in Electrical Engineering and Computer Science (1992) from IST, in Lisbon, and an M.S. (1994) and Ph.D. (1997) in Information and Computer Science from the University of California at Irvine. He is the author or co-author of over 200 technical publications in machine learning, data mining, and other areas. He is a member of the editorial board of the Machine Learning journal, co-founder of the International Machine Learning Society, and past associate editor of JAIR. Dr. Domingos was program co-chair of KDD-2003 and SRL-2009, and served on the program committees of AAAI, ICML, IJCAI, KDD, NIPS, SIGMOD, UAI, WWW, and others. He has written for the Wall Street Journal, Spectator, Scientific American, Wired, and others. He helped start the fields of statistical relational AI, data stream mining, adversarial learning, machine learning for information integration, and influence maximization in social networks. *** For show notes and past guests, please visit https://aiasiapacific.org/podcast/ For questions, please contact us at contact@aiasiapacific.org or follow us on Twitter or Instagram to stay in touch.
Join host Jason LaChance as he sits down with special guest Joey Guerriero, a remarkable individual who has triumphed over the depths of opioid addiction and found his path to recovery. In this thought-provoking episode, Joey opens up about his personal journey, shedding light on the challenges he faced, the turning points that led him towards recovery, and the incredible Cry Baby Dealcholoized hemp-derived CBD and CBG with ZERO THC, the major psychoactive component in cannabis Wine. Throughout the conversation, Jason and Joey delve into the harrowing realities of opioid addiction, exploring the mental, physical, spiritual, and emotional toll it takes on him and his loved ones. Joey fearlessly shares his personal experiences which started with a sports injury that led to getting a prescription for opioids leading to dependency and eventually full-blown addiction. Reflecting on the obstacles he encountered which included alcoholism which he could see started long before the opioid use and the support systems that ultimately helped him break free from the cycle of addiction. As the discussion unfolds, the focus shifts to the creation of Cry Baby Dealcholoized hemp-derived CBD and CBG Wine for those in recovery who aren't triggered to use by consuming nonalcoholic drinks, spirits, mocktails, or wines. Throughout the episode, listeners will be inspired by Joey's resilience, determination, and commitment to helping others who are battling addiction. His story serves as a potent reminder that it is possible to break free from the grip of addiction and emerge stronger on the other side. This episode is a testament to the power of hope, resilience, and the transformative nature of recovery. This is Joey Guerriero Gomes Knockin' Doorz Down. For more on Joey and Cry Baby and to get 20% off use code KDD https://crybabywine.com/cbd-wine/ For 51FIFTY use the discount code KDD20 for 20% off! https://51fiftyltm.com/ For more information on Carlos Vieira's autobiography Knockin' Doorz Down, the Carlos Vieira Foundation, the Race 2B Drug-Free, Race to End the Stigma, and Race For Autism programs visit: https://www.carlosvieirafoundation.org/ Listen to and Subscribe to the podcast wherever you listen for more Celebrities, everyday folks, and expert conversations at https://www.KDDPodcast.com © 2023 by KDD Media Company. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices
Today we speak with an expert on sugar and things meant to replace it. The stakes are high. Very high. Sugar consumption in the population is astronomical and so is the use of sugar replacements. Knowing the impacts of both could help experts provide dietary guidance and help consumers make decisions. Dr. Robert Lustig is Professor Emeritus of Pediatrics in the Division of Endocrinology at the University of California, San Francisco. He specializes on the regulation of energy balance by the central nervous system; body weight regulation, appetite, metabolism, and is very well known for his work on sugar and their substitutes and on policies aimed at improving the diet of the population. A YouTube video on the effects of consuming sugar called “Sugar: The Bitter Truth,” has now been viewed 24 million times. Interview Summary URL for “The Bitter Truth video (https://youtu.be/dBnniua6-oM) Let's start out with this - so the big hope is that sugar replacements, artificial sweeteners, non-nutritive sweeteners, all known as different things, replace sugar and that people can enjoy sweet taste without the calories. But, of course, the picture is way more complicated. Being an endocrinologist, you are in a good position to explain what happens when the sweeteners enter the body. I'd like to get to that in just a moment, but let's lead off with another question. Why is it so important for people to consume less sugar? First, let's talk about what sugar is. The food industry tells you that sugar is just empty calories. I wish that were true. If that were true, then you could basically spend your discretionary calories on sugar with no problem. But it's not true. There are two molecules in dietary sugar: the sucrose or the high fructose corn syrup or honey maple syrup agave. They are all basically the same. One molecule of something called glucose, one molecule of something called fructose. Glucose is the energy of life. Glucose is metabolizable by every cell on the planet. Glucose is so important that if you don't consume it, your body makes it. The liver will take fats and turn it into glucose. It will take amino acids and turn it into glucose process called gluconeogenesis. Glucose actually makes your cells work better. It makes your mitochondria function better, the mitochondria being the little energy burning factories inside each of your cells. Glucose, for lack of a better word, we can call good. Fructose, on the other hand, it is completely different, is metabolized completely differently inside the body and inside the liver. What fructose does is it inhibits mitochondrial function. It actually inhibits three separate enzymes necessary for mitochondria to do their job. So, fructose inhibits energy generation. Now, the food industry will tell you fructose is four calories per gram. Fructose is ready energy. That is why they put high fructose corn syrup in the sports drinks, for example. Well, turns out, that fructose may be ready energy for a bomb calorimeter, but it is not ready energy for your mitochondria. You don't burn in a bomb calorimeter (a laboratory instrument), you burn via your mitochondria. It turns out, mitochondria are actually poisoned by fructose. So in fact, fructose is a chronic, dose-dependent mitochondrial toxin and this is why we have to eat less of it. But the problem is the food industry keeps putting it in anyway despite the fact that it is killing us. How much more of it are people consuming than what you might suggest? The American Heart Association years ago came up with a upper limit per day of about 25 grams, which would be about six teaspoons per day. I was actually part of that group that came up with that and I stick to it because that's what the data show. We are currently consuming 94 grams. We are consuming almost quadruple the amount that is the upper limit. Now, the notion that something could have empty calories but still be bad for you is not a crazy one. We have two things in our diet that we know are calories but are clearly toxic to us. One is alcohol. Alcohol, seven calories per gram, but alcohol is a poison. And then also trans fats. Trans fats are nine calories per gram, but trans fats are a poison. So just because something has calories doesn't have anything to do with its metabolic impact. Where are people getting all the sugar from? I'm assuming it's not from their sugar bowl. Exactly. It is not the sugar they add. It is the sugar the food industry adds. Now, where is it? Well, the obvious source is soft drinks. That's number one by far and away. I mean soft drinks are basically, you know, the devil incarnate. Several municipalities have actually figured that out, and it's one of the reasons we have soda taxes because it's actually directed at the problem. A lot of it is in other things that we identify as sweet: candy, cakes, ice cream. A lot of it is in other things like breakfast, cereal, yogurt, even cured meats. It is in a whole host of other things. When you add it all up, 65% of the sugar you consume is in ultra-processed foods. It is not in regular food. It is not in sugar you added to your own food. It is in ultra-processed foods. An ultra-processed food is the vehicle by which the payload, that is that fructose, is doing its damage. Thanks for that background. We're really here to talk about the artificial sweeteners but it is irresistible talking to you about sugar in general because you described the whole picture in such a compelling way. So thank you for that. So, onto the artificial sweeteners. What are the main ones in the food supply? Well, there are a whole bunch. The most common ones that the food industry uses the most, obviously aspartame, which is Equal. And also sucralose, which is Splenda. But there are others now out on the market: Neotame, there's Acesulfame-K, there's monk fruit, there's Stevia, and all the Steviol glycoside derivatives. There's now Allulose, and there's Tagatose. There's a whole host of different sweeteners that are considered "non-nutritive” meaning they don't have calories. These things show up in ways that people don't necessarily recognize. I mean Diet Coke, Diet Pepsi, those sort of things, it's obvious they're artificially sweetened. But these things are showing up in a lot of places, aren't they? Indeed. The food industry now understands that sugar is a problem and people have been calling for less sugar but what they're not calling for is less sweet. And so the industry has a job. It has to deal with that dichotomy. I know understanding their impacts is complicated by the fact that there are a lot of these things and they're all chemically different from one another. I'm imagining they have different metabolic effects. What happens when these things get into the body? Right, and that is the issue. It has nothing to do with calories. People think calories are the issue. This has nothing to do with calories. That's one of the reasons, Kelly, that I'm committed to one concept: kill the calorie. Kill the calorie as a unit of measure. It was never appropriate. It was actually subterfuge, and it was actually promoted and promulgated by the food industry because if it is about calories, they can assuage their culpability for what they've done to our food supply. This has nothing to do with calories. This has to do with metabolic health. Now, the World Economic Forum just published a white paper called the, "True Purpose of Nutrition," and it comes down to two words: metabolic health. That is what is going on inside the cell and that's where the artificial sweeteners do their damage, inside the cell. That's what we have to talk about. There are several places in the body where artificial sweeteners can do damage that have absolutely nothing to do with calories. The first, you put something sweet on your tongue. Message goes tongue to brain, "Sugar's coming." Brain sends a message to the pancreas, "Sugar's coming, release the insulin." Then the sugar never comes because it was a diet sweetener. What does the pancreas do? It turns out it releases the insulin anyway even though it had no calories, even though it wasn't sugar, just because of the sweet taste. So this is known as the cephalic phase of insulin secretion. That insulin is driving energy storage into fat, number one, and it's also driving cell proliferation in your coronary arteries, cell proliferation in your breast tissue, in other words, cardiovascular disease and cancer and ultimately leading to burnout of your pancreas, and now you've got diabetes too. Even though these artificial sweeteners have no calories, they still generate an insulin response, which is still problematic from a metabolic standpoint. So because of the sweet taste and the body's response to that, I'm assuming what you're saying would be true to all of sweeteners? Exactly. All of them do that. The next step is the artificial sweetener goes down your gullet, goes into your intestine, and the intestine has these bacteria in it called the microbiome. Most people have now heard of that. Different bacteria lead to different effects in the intestine. But think of your intestine - I mean it's a sewer. It has a whole lot of S-H-you-know-what in there. The goal of the intestine is to keep the S-H-you-know-what IN the lumen of the intestine and not allow it into the bloodstream. It uses three barriers. It has a physical barrier called the mucin layer. It has a biochemical barrier known as tight junctions or zonulins. It also has an immunological barrier called Th17 cells. Those three barriers have to work right to keep the junk out of your bloodstream because if the junk gets into your bloodstream, you now have systemic inflammation, which drives insulin resistance and drives chronic metabolic disease as well. So keeping your intestine in tiptop shape is really important. Well, it turns out those diet sweeteners alter the microbiome. Some of those bacteria like those sweeteners and utilize them to make toxic byproducts, which damage the mucin layer, damage that biochemical tight junction barrier and allow for things to seep through. This is a process called leaky gut. For reasons that are still unclear, sugar tends to deplete those Th17 cells, rendering the immunologic barrier devoid of function. The sum total of which means all the you-know-what in your intestine ends up in your bloodstream, goes to your liver, generates insulin resistance, and you are off to the chronic metabolic disease races as well, from diet sweeteners having nothing to do with calories. What an amazing picture your painting of these things. We've got one more mechanism. At the fat cell, now this I really don't understand and it's early data but seems to be consistent. Turns out adipocytes, fat cells, have receptors for diet sweeteners. Don't ask me why. I don't know why. But it turns out, diet sweeteners can act like insulin right at the fat cell to increase energy deposition into the fat cell. Growing those fat cells all by themselves, due to the diet sweetener rather than due to insulin. Now how dumb is that? As a result, there are a lot of different ways diet sweeteners might end up causing problems as well, having nothing to do with calories, having nothing to do with fructose. There was a paper that came out in the European Journal of Clinical Nutrition. It was a meta-analysis of sugar and also of diet sweeteners in terms of diabetes and heart disease. What I can say in one sentence to sum up what this paper showed is that the toxicity of one Coca-Cola equals the toxicity of two diet Coca-Colas. Half as bad. That doesn't mean good. It means half as bad. Boy, I mean, any one of the three major pathways to harm would be of concern. If you add them all together, it is a pretty striking picture, isn't it? I imagine, even if somebody knew about this, they might say, well, you know, I'm willing to accept those risks. I mean, even though you are making them sound substantial, but I'm willing to accept those risks if these products help me control my weight. Do they? Well, they don't. That's part of the problem. There is not one study, not one study in the entire world's literature, that shows that switching from sugared beverages to diet beverages actually controls weight. The reason is because even though the diet sweeteners don't release as much insulin now, when you drink the diet sweetener, the pancreas releases it later. That's actually been shown in several studies now. You get a delayed insulin response, so that the 24-hour insulin burden is the same whether you consume the sugar or the diet sweetener. Let's talk about safety for a minute. What about sort of the typical toxicology concerns that people have had for years about these substances, irrespective of what they're doing to the pancreas and to the other, the microbiome, et cetera? What about the just kind of pure safety of them? Right, so the one that has generated the most heat, not too much light, unfortunately, is aspartame, NutraSweet. It turns out that aspartame has a very long and checkered history. Did you know that aspartame was made by Searle, G.D. Searle? And, do you know who the CEO of G.D. Searle was at the time that aspartame was approved by the FDA? I do not. His name was Donald Rumsfeld. An interesting character in history. Indeed, wouldn't you think? It turns out that G.D. Searle actually buried most of the toxicology of aspartame in order to get it approved. It is a long complicated and involved story, which we don't have time for. I'm not even privy to most of the details on that. The bottom line was it ultimately did get approved despite the fact that there was a significant amount of concern about toxicology of this compound. Those questions still remain today. That is one. Another one that is a big issue is sucralose. Sucralose is also called Splenda. Sucralose is a chlorinated poly-fructose and it's extremely sweet, no question about that. It seems to have some GI side effects that a lot of people don't like. It also has now been associated with cancer. And most recently, the one that's gotten the most attention and almost assuredly, Kelly, the reason you called me is the paper that came out about three weeks ago in science about erythritol. So erythritol is a sugar alcohol, and now the meta-analysis of erythritol consumption suggests that it may in fact contribute to heart disease. Now, is that true? Meta-analysis are complicated. People think meta-analysis are the piece de resistance, the highest bar of medical information and analysis. I have four words for meta-analysis: garbage in, garbage out. Meta-analyses are only as good as the studies that they base the data on. If those studies were done by the food industry, which almost all of these are, because that's who stands to benefit from them. These are almost never NIH studies. These are almost always food industry studies, as you know, the odds are 7.61 times more likely to find in favor of the compound of interest. So all of these are, shall we say, biased. All of these are tainted, and meta-analyses are basically a conglomeration of tainted studies. So what do you expect the result to be? Thanks for that background. I'm imagining also regarding toxicology and safety, that some of the newer sweeteners like Splenda for example, sucralose, there hasn't been enough years of use to pick up long-term chronic effects. Well certainly, if you're using cardiovascular or cancer events, you're absolutely right. A lot of these events, you know, take a long time to manifest themselves. Sometimes, a generation or even two generations for that matter, especially for heart disease and cancer. The 15-year-old is drinking 10 diet sodas. When do you expect the heart attack to show up? You know, it's complicated. So we use biomarkers to try to answer these questions, but then the biomarker has to actually be a good proxy for those events and often they're not. Let me give you an example, LDL. Everybody thought LDL was the bad guy. Turns out triglycerides are the way worse guy. LDL has a hazard risk ratio for heart disease of 1.3. Triglycerides have a hazard risk ratio of 1.8. Triglycerides are 50% more important in determining heart disease than LDL is, but we use LDL as the biomarker because it's more stable. So you have to use the right biomarker and you have to interpret it properly and it actually has to mean something and it has to change relatively acutely. All of which are problematic for all of these biomarkers. It's hard. It's hard to do these kinds of analyses. Having said that, my group, a scientific advisory team that I convened to help an offshore ultra-processed food company improve the health of their products. We've published this just last month in Frontiers in Nutrition. The company is called Kuwaiti Danish Dairy Company, or KDD. The title of the paper is, "The Metabolic Matrix: Re-Engineering Ultra-processed Foods to Protect the Liver, Feed the Gut, and Support the Brain." We did a deep dive on diet sweeteners. We looked at all of these diet sweeteners and their proxies, all the biomarkers. The one that actually popped out that looked to be the most beneficial, at least acutely, is a new one that we're actually kind of interested in and is picking up speed and it's called allulose. Allulose currently is 12 times the cost of sugar, but that's coming down. It turns out allulose lowers LDL and raises HDL. So it may have a better cardiovascular profile, but again, all the caveats that we mentioned before. That's very interesting. So given your interest in pediatrics, what about children using these sweeteners? I am totally against children using sugar because they get fatty liver disease and Type 2 diabetes, and I am totally against them using diet sweeteners because, number one, we don't know what they're going to do. Number two, they don't actually lead to weight loss. That data we do have. So as far as I'm concerned, we really only have one option and that is de-sweeten our lives. We have to de-sweeten the food. Perfect lead in to the next question I was going to ask. So do you think it is possible for people to become accustomed to less sweetness? I mean, let's say the food industry is required to gradually reduce sugar and sweetness from the sweeteners. What do you think would happen? Absolutely. It is not only possible, it is eminently doable. And I know why and we have the data for why that is. So there is a very smart lady, neuroscientist at the University of Michigan by the name of Monica Dus, who has done all this work in fruit flies of all places. She has shown the desensitization of the tongue to sugar has to do with changes in receptors and changes in specific substrates in the taste buds of the tongue. When you stop the sugar availability, it takes three weeks for those receptors to increase and repopulate, and for those problematic substrates to go away. You can actually retrain your tongue in three weeks to be much more sensitive to the sugar that is in the food naturally. After a three-week abstinence period or a reduction or a weaning period, a blueberry will taste like a sugar bomb in your mouth. So we know this can happen and we actually have proven this for salt previously. The UK, as you know Kelly, back in 2003, the Blair government convened all the food industry concerns in Great Britain. So Marks & Spencer, and Weight Rose, and Tesco, et cetera, all around the big table, didn't let media in, and basically said to every single food industry concerned in Great Britain, "Look, we have a hypertension and stroke problem and it's because of the salt content of the food and we are going to play referee here in the government. And each of you is going to reduce the salt content of your food by 10% per year over a three-year period so that you'll reduce your salt by 30% at the end of this and everyone's going to play together, so that there's no competitive disadvantage and most importantly, we're not going to tell anybody." That's what they did. Sure enough, in 2011, a paper appeared in Burge Medical Journal, demonstrating a 40% reduction in hypertension and stroke because of the public health effort that the Blair government made in terms of reducing the amount of salt in processed food. We can do the same with sugar today. The salt example is a good one because I think many people have sort of experienced this in their day-to-day lives, even in the United States, where industry hasn't done exactly what's happening in Britain. People have tried to reduce salt in their diet, add less salt, and buy products with less salt. And then sometimes they'll go back and consume something that they had before and find it extremely salty, even unpleasantly salty. It's interesting to hear on the sugar front that that same experience might be possible and that there's a biological reason for it. It is not just that you psychologically get accustomed to different levels of sugar, in this case, but there's a biological change occurring that might help keep that going. Absolutely. You can change people's behavior by changing their biochemistry. This is how I got into this field by using a drug that suppressed insulin and getting kids who were 400 pounds due to their brain tumor to actually lose weight and start exercising because we got their insulin down. You can fix the biochemistry and the behavior will follow suit. The food industry could do that and we wouldn't even notice. So I'm guessing I know the answer to this question before I even ask it, but let's go ahead. Would you suggest the food industry be mandated to make gradual reductions in sugar, just like you mentioned with salt in the UK? Absolutely, I'm working toward that. The only thing that I say is we should not tell anybody. So it would be sort of a stealth move then. You would not necessarily have to make a big deal of it to the public, because they might assume there's going to be a change in the desirability and the pleasure of the products when that's not necessarily the case. As soon as you do something to their food, someone's going to scream, "Nanny state!" This is not nanny state. Ultimately, this is a public health problem. We have to deal with it with a public health solution. You know, that means changing things. If the amount of sugar in our food supply went down, say by 3% every six months down, so that we were able to cut our sugar consumption by 25%, which would be the same basically as what a tax would do. We would save so many billions of dollars in healthcare costs, and we would increase productivity so much. We actually published a paper, a microsimulation analysis in BMJ years ago where we quantified the savings to government, to insurers, to the public. If we actually got sugar down and, you know, actually listened to what the USDA told us, it would be amazing. There is data, there's a pathway forward, there's precedent for doing it. I absolutely think that is where we need to go. Rob, you're making me feel very smart at the moment, because I figured this was going to be a podcast filled with information and helpful bits of knowledge and it sure was. I'm really grateful that you were able to join us and the topic couldn't be more important. Thank you again for being with us. Bio Robert H. Lustig, M.D., M.S.L. is Emeritus Professor of Pediatrics in the Division of Endocrinology, and Member of the Institute for Health Policy Studies at UCSF. Dr. Lustig is a neuroendocrinologist, with expertise in metabolism, obesity, and nutrition. He is one of the leaders of the current “anti-sugar” movement that is changing the food industry. He has dedicated his retirement from clinical medicine to help to fix the food supply any way he can, to reduce human suffering and to salvage the environment. Dr. Lustig graduated from MIT in 1976, and received his M.D. from Cornell University Medical College in 1980. He also received his Masters of Studies in Law (MSL) degree at University of California, Hastings College of the Law in 2013. He is the author of the popular books Fat Chance (2012), The Hacking of the American Mind (2017), and Metabolical: The Lure and the Lies of Processed Food, Nutrition, and Modern Medicine (2021). He is the Chief Science Officer of the non-profit Eat REAL, he is on the Advisory Boards of the UC Davis Innovation Institute for Food and Health, the Center for Humane Technology, Simplex Health, Levels Health, and ReadOut Health, and he is the Chief Medical Officer of BioLumen Technologies, Foogal, Perfact, and Kalin Health.
MLOps Coffee Sessions #124 with Kush Varshney, Distinguished Research Staff Member and Manager IBM Research, Trustworthy Machine Learning co-hosted by Krishnaram Kenthapadi. // Abstract Trustworthy ML is a way of thinking and something to be worked on and operationalized throughout the entire machine learning development lifecycle, starting from the problem specification phase that should include diverse stakeholders. // Bio Kush R. Varshney was born in Syracuse, New York in 1982. He received a B.S. degree (magna cum laude) in electrical and computer engineering with honors from Cornell University, Ithaca, New York, in 2004. He received the S.M. degree in 2006 and the Ph.D. degree in 2010, both in electrical engineering and computer science at the Massachusetts Institute of Technology (MIT), Cambridge. While at MIT, he was a National Science Foundation Graduate Research Fellow. Dr. Varshney is a distinguished research staff member and manager with IBM Research at the Thomas J. Watson Research Center, Yorktown Heights, NY, where he leads the machine learning group in the Foundations of Trustworthy AI department. He was a visiting scientist at IBM Research - Africa, Nairobi, Kenya in 2019. He is the founding co-director of the IBM Science for Social Good initiative. He applies data science and predictive analytics to human capital management, healthcare, olfaction, computational creativity, public affairs, international development, and algorithmic fairness, which has led to recognitions such as the 2013 Gerstner Award for Client Excellence for contributions to the WellPoint team and the Extraordinary IBM Research Technical Accomplishment for contributions to workforce innovation and enterprise transformation. He conducts academic research on the theory and methods of trustworthy machine learning. His work has been recognized through best paper awards at the Fusion 2009, SOLI 2013, KDD 2014, and SDM 2015 conferences and the 2019 Computing Community Consortium / Schmidt Futures Computer Science for Social Good White Paper Competition. He self-published a book entitled 'Trustworthy Machine Learning in 2022, available at http://www.trustworthymachinelearning.com. He is a senior member of the IEEE. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Krishnaram on LinkedIn: https://www.linkedin.com/in/krishnaramkenthapadi Connect with Kush on LinkedIn: https://www.linkedin.com/in/kushvarshney/
Listen to and Subscribe to the Knockin' Doorz Down podcast on all audio platforms and on YouTube for more amazing interviews at https://www.KDDPodcast.com and follow Knockin' Doorz Down on social media. #onedayatatime #wedorecover ##inspiration Why did I want to talk with Matthew Ganem on Knockin' Doorz Down? Matt has been in recovery for 14 years and has worked in the field of substance abuse treatment since 2014. He has reached thousands of lives through his efforts to battle drug and alcohol addiction. At Aftermath Addiction Treatment Center, Matt takes an active role in the day-to-day activities with the clients, he is usually the first person a client will see as they enter the door. Matt makes sure to let each client know that they are not alone as they begin their journey on the path to recovery and tries to inspire them to achieve a better way of life in recovery. Matt is an award-winning poet and public speaker, the author of The Shadow Of An Addict, and was recognized as the Recovery Advocate of the year in 2015 by the Massachusetts Organization of Addiction and Recovery. He is well known for speaking on addiction and prevention at schools and local community events. Matt is committed to building Aftermath into a leading treatment provider where people feel welcomed and supported on their journey to recovery. Matt Ganem is a true inspiration, from being a troubled youth, experimenting with alcohol and drugs at a young age. Matt was on the verge of death, in constant trouble with the law, and losing friends to drug use. This led Matt to a life of recovery, finding his voice through poetry and music as well as becoming a dedicated father of two. Matt is now the owner of the Aftermath Treatment Center helping others achieve sobriety while being an addiction recovery leader in his community and resource to all. For more on Matt Ganem and Aftermath Treatment Center https://www.facebook.com/MattGanemPoet http://www.iamnotanonymous.org/matthew https://www.instagram.com/mattganem_poet https://aftermathtreatmentcenter.com/ For 51FIFTY use the discount code KDD20 for 20% off! https://51fiftyltm.com/ For more information on Carlos Vieira's autobiography Knockin' Doorz Down, the Carlos Vieira Foundation, the Race 2B Drug-Free, Race to End the Stigma, and Race For Autism programs visit: https://www.carlosvieirafoundation.org/ © 2021 by KDD Media Company. All rights reserved. Transcript What is recovery, it's stepping outside of your comfort zone, you know, and like public speaking, hopping in the ring and being an announcer, doing poetry. Like these are all like unorthodox things that when you tell somebody their own fears, they're projecting on you and for how long did we sit in? Like that cage thinking that we weren't good enough, that we weren't capable of anything. We didn't deserve any better of a life. You know, like I was on a suicide mission every day. Like I didn't wanna live cuz I didn't think I was worth it at, at one point. I didn't think anybody loved me because of the wreckage that I caused. And I don't like facing my wreckage. I don't like at that time when I was using and I I'd hurt my family at hurt a friend, I don't ever wanna face them. I wanna run, fight a flight. Let me take off cuz I don't wanna deal with the repercussions of what I caused Knocking doors down your host. Jason, here with you. My guest on this episode, Matt G do me a favor. Please hit subscribe on whatever platform that you're enjoying on Spotify, apple podcast. And please share these episodes with someone that you think might just need to hear some of the knowledge that the guests share here on the podcast, in the conversations that we have do me a favor, help knocking doors down, grow, share with someone else that you think can get value out of these podcasts. Why did I wanna talk to Matt? Well, he's returning for a second time, but I wanna talk to someone that works in the addiction recovery field and some of the things they're seeing post COVID that are some really big concerns for the recovery community. Plus, I want to touch on the transformations that Matt's been making with his life since it's been a couple years and pick Matt's brain about getting to that next level in my own recovery. And so many other things that are insightful that might help you turn your life around. And that's what knocking doors down is all about. Before we get to Matt G I've gotta thank 51 50 51 50 is about having the power to overcome, to persevere the power, to set your life on a course to success. And right now you can get 20% off when you go to 51 50 ltm.com. Use the code K D D 20 that's K D D 20 20% off. Check out all the swag, hatch shirts, sweatshirts, all the gear that you want and get 20% off cuz we couldn't do knocking doors down without 51 50. Here's my guest, Matt Gandham after math treatment coming back on the pod, how's it going? My brother, It's going pretty good, man. It's a beautiful, beautiful day. Of Course, Matt, this second time here on the pod, if you want to hear Matt's story, go back through the archives. I mean just you're one of those people. The reason I want to talk to you again, cuz death was, was imminent. But, but now where I'm like really actively working my sobriety because it's doing a pretty guy, good job. The first time we met, but I got that arrogant streak in me. Like I'm okay. And, and I ended up falling off. So it's almost 17 months ago. I really wanna dig in with you on, on signs of substance abuse, cuz you were young when you were hitting it, you know, maybe it helped the listener see for a significant other that, Hey, these are some warnings, man. These are the things that pop up. Yeah. So one of the, I, I mean for me, a lot of it started with like behaviors in class, class, clown trying to get attention, you know, the insecurities and stuff that, that I had inside the fear of acceptance, the fear that people don't like me, that I would do over the top things to try to gain, you know, whether it was laugh, smiling on, you know, just something I was trying to, to gain from a young age, getting in trouble, you know, fighting there. There were just a lot of like, you know, certain behaviors even before I picked up a drug that, that you know, that you can spot for like a kid it's a little harder for like relationships because I was like so fucked up most of my youth that like, you know, I think when I was getting high, I mean, I don't know I was getting girls that, that didn't get high to drive me to do stickups and I, I don't know I was in, I was in some, in some shit when I was using. Yeah. But, but the obsession and the compulsiveness of, of a child, which like as a parent now, like I see in my kids, I see an electronics, you know, like you take your phone or, or a tablet away from a child and they have like a meltdown. It's like taking a bag of dope away from me. Like I'm gonna flip out, you know, but that's what it was like for like, I would do things to, to the max, you know? Sure. When I was playing sports, it was like, I was the last kid to leave the court after playing all night baseball, you know, I throw, I throw a ball into my arm was throbbing because I wanted to get better. And I wanted to be the best in like that competition, you know, just to be better than the next person to be the player on whatever team I was on. And I would do everything like over the top. And then I gravitated towards like the trouble makers, you know, and then to be accepted by trouble makers, you have to cause trouble. You know? So I, I was getting suspended in school in fifth grade. I was getting, you know, I don't know. I, I did a bunch of nonsense when I was real young. Like I was like a terrorist child. Like I feel awful cuz like it, it wasn't, you know, it wasn't how my parents really raised me. I mean, they both worked. My father left my mother when I was young, but they were both like working class. So like I kind of, you know, would cause trouble on my walk to, and from school stealing from the corner store, you know, for like validation from, from the people around me that like, oh Matt's crazy, Matt will do crazy things or Right. You know, there was a time I was hanging out with all the kids and they wanted to smoke. They wanted cigarettes and they didn't have any. So I said, alright, watch, I'll go steal smokes from this corner store. And they had like a hot dog stand to the side. So I asked the guy for a hot dog. And when he went to go make it, I ran around the corner, took two cottons of cigarettes and was booting down the streets. I didn't even smoke at the time just to say that I did it to like be accepted or whatever. Like the, the, you know, just doing dumb things. It remind me of line from it's fallout boy. Yeah. I like fallout, boy I'll own it. I don't care. I don't care what you think as long as it's about me. Yeah, exactly. And it really is. It's like we it's the truth. Yeah. We just wanna fucking build a rep of some kind. Okay. As long as it's this, this attention I'm getting attention and it it's so screw, it's funny you talk about relationships. Like I was a king of codependency, you know? Yeah. Any guy that maybe had some abandonment issues and wanted to nurture, So to mommy trying to fix me. Yeah. I'm gonna latch onto any broken, you know, broken pot of you and, and you're gonna need me through all that. Yeah. It's Yeah. I mean, it's, you know, it's that, that, that for that attention was what I did, you know, my, I went through full high school, so I was constantly getting kicked out. So I wore that like a badge of honor. Right. I sold drugs like, oh, I'm big, bad drug dealer. Like, no, I was getting high the whole time. And you know, being a little, you know, Guinea pig for whoever the kids in the neighborhood where we're like, Hey, go run these in school and bring us back the money. And I used to think I was like some big, bad guy stick up kid. I got stabbed. I used to wear that like a badge on like somebody almost killed me. Yeah. Like the rep and the longer in sobriety I get, the more I look back at like how delusional and you know, just like my way of thinking was so fucked back. Yeah. Back when I was using, when, you know, the streets, like whatever, I was like wrapped up in that I was just like a lost child. Like wish somebody grabbed me at that time and just shook me. Like, you don't need to try to impress other people. And the older I get, the less, I care about the opinion of others. Yep. And especially like putting your story out there and like, you know, like the poetry and, and some of the things that I've done in my recovery in my life, you gotta let go of, of people's opinions. I remember when I first started telling people, I'm gonna try to like chase poetry as a dream. And I come from a neighborhood where you don't, you know, Not that Shit. Yeah. They, you know, they're like, what, what are you talking about? I'm like, yeah, I'm gonna go do an open mic and I'm gonna go recite poetry. And they would laugh at, you know, like, oh, what Matt's, you know, Matt's on something, But it's kind of that, don't you think that, and I still struggle with this. This is one of the great reasons I wanted to talk to you is I have these things inside. And I, I was telling my girlfriend this, like, it, it, it feels like it wants to escape. And, and it's just, you know, I said, what, when I was drinking, I didn't give a fuck. I would, I would do whatever it was now. Like I have a conscience and I don't wanna be overbearing to people or whatever it is, but we kind of gotta embrace it. We are a little bit nutty. Yeah. And that's a good thing. And, and get the fuck after it. Like what, what do you want to do? You know, you look at a, at a guy, whether you, whatever you think of him or not Elon Musk, I wanna send rockets to space. Yeah. Okay. I'm gonna do it. You know, you kinda Gotta be well that's yeah. Everybody gave him shit. When he said that, thinking like, oh, who, you know, this guy's a lunatic, but he has the, the follow through to it, you know? Yeah. Yeah. And he's, I love Elon. I love everything that, that, that guy does. And it's the crazy people that, that actually change the world and make a difference. You know what I mean? Like you have to be some level of, of, you know, every genius has a touch of insanity. The knocking doors down book shares all the history and inspiration behind the Carlos Vera foundation and how it all started all proceeds from the book benefit, the Carlos Vera foundation's race to be drug free campaign. So what's that all about through the race to be drug free campaign. Carlos Vera foundation raises awareness about drug abuse, donates to drug free programs and brings drug free speakers into schools to educate youth the race to be drug free campaigns. Main program is the gloves, not drugs boxing program. This program is completely free for kids between the ages of eight and 17 to learn discipline, strength, respect, comradery, and the art of boxing. The program was created to keep kids off the streets out of gangs and away from drugs for more info and to get involved, check out Carlos Vera foundation.org. Yeah. I, and for me, you know, as a parent, as well, father daughter like yourself, how can I sit and tell my kids go after it, chase your dreams if I'm being a hypocrite and I'm not. Yeah. You know? Yeah. Like we gotta set that groundwork. No, I know. So like, I try to embrace for like my kids. My kids are like wicked creative, both of them. And which I hope is, is part of, you know, me being a poet, them seeing me perform. And like some of the things that poetry has brought to like my life, like being on the news and being able to travel and, and all like the treatment center and all the stuff that came after it, you know, my son has had a progression where he started doing comic books at a young age. So I was pushing him to, to draw comics and he was selling 'em for a dollar, a piece, you know? And then he moved to like animation on YouTube, draw in voiceovers, getting friends involved to like voice the characters and have storylines. And then we embraced it. And what's funny is now, so he just turned 14 years old and he he's like into rap, which like, I'm like a big rap fan. And I catch him every now and then free styling to himself. So now when we're walking the dogs, it's like, he goes a few lines. I go a few lines and we go back and forth, you know, because like, I feel like a lot of times people will tell you not to do something or not to chase your dreams, especially like at younger, you know, a young age, they want you boxed into like, you know, get a job, go to college, get a job, bury yourself in debt, outside the box, thinking isn't, isn't gonna get you anywhere where like, I wanna embrace the creativity. Cause I feel like modern day schools kind of destroy that passion that, you know, my, my daughter wants to be a singer, got a karaoke machine and, and try to push her to sing, but she got stage fright. So she has to, she gets too embarrassed around people. That's funny. See, I got, I got so SI fright. Like you put me on a stage. I'm fine. Yeah. Yep. Exactly. Prop me up there. I'm good. Like I'll do for, for 51 50 there MMA events. I'm good. Once I get in the ring and do the announcing, but then when I get off and people are like, man, you're really good. I'm like, you're like, thanks. I appreciate I don't inebriate myself anymore to have that ability, but I'm working on it. I'm fucking working on it. But that that's. And how cool is that? That you didn't listen to the naysayers and hear this son that your skill and these things that you wanted to do that your addiction hindered. You said, fuck it. I mean, I, I could have been dead. This isn't. Yeah. Kill me. And your opinion of me. Isn't gonna kill Me. Exactly. Well, it's also part of like recovery. What is recovery? It's stepping outside of your comfort zone, you know, and like public speaking, hopping in the ring and being in an announcer, doing poetry. Like these are all like unorthodox things that when you tell somebody their own fears, they're projecting on you and for how long did we sit in? Like that cage thinking that we weren't good enough, that we weren't capable of anything. We didn't deserve any better of a life. You know? Like I was on a suicide mission every day. Like I didn't wanna live cuz I didn't think I was worth it at, at one point. I didn't think anybody loved me because the wreckage that I caused and I don't like facing my wreckage. I don't like at that time when I was using and I I'd hurt my family I'd hurt a friend. I don't ever wanna face them. I wanna run, fight a flight. Let me take off cuz I don't wanna deal with the repercussions of what I caused. Yeah. You know, All to what, Whereas whereas now like looking at, at some of those outside the box things and the things that, that were really uncomfortable for me, especially in the early stages that I was able to grow, you know, into the, that where we're at right now, like I'm, you're in California right now. I'm in Massachusetts. We cross paths somehow. And we get to have like a conversation about recovery, about life parenting, a wide range of things that really stem from me getting clean. And then also me like from my side of it, when people were like, oh, what are you gonna do with poetry? It's a waste of time. Like, all right, I'm gonna prove you wrong. Just like when people told me I wasn't gonna stay clean or I'd be back in jail or I was gonna be a statistic. It's like, all right, that I'm gonna show you and I'm gonna, you know, exceed any expectations or the limits that you're gonna set. Well, and it's funny that you brought what you brought up about school. I think it was Gary Vanner check Gary V people in the, and he said, school's really good at building workers. It's not really good at building the creative entrepreneurial mind to go after that spirit and, and pursue what you wanna do. So it's good for the groundwork, but like, Hey parents, and it's nice to, to, to, I think one of the things we get outta recovery, we get a lot more switched on shit. We've seen both sides. We've seen a lot. And like one of the, one of the, the, I just did an interview that was like from, from addict to entrepreneur. And it asked about like some of the, the strengths from my drug use. Right. And how they've adapted into being a business owner and, and an entrepreneur. And a lot of it's like the risk, the risk taking risk versus reward, getting uncomfortable, taking chances. I mean, how, for me, so many times I was pushing the limits on, on doing whatever I had to do to get high that now I turn that same mentality into success. Yeah. You know what I mean? And for instance, I, I love sports. You see my man, Tom Brady behind me in his autograph, I got a bunch of autographs around my office, around my house. So I go to this like autograph shop and you know, I I'm pretty to myself when I'm, I don't really talk much to people, but I ended up getting into a conversation with the guy at the shop. Now he went to school to be an entrepreneur, huh. Right. Works for somebody doesn't own his own business. And he in turn tells me, as I shared with him that I I've take, you know, I've, I've owned businesses that have failed. I've take risks that I've failed. I haven't gotten discouraged, wiped the dart off, learned the lesson from it and moved on and used. What I learned into the next venture practical experience is, is what's made me a successful businessman. And he goes and tells me how school hurts him because he is so terrified to take a chance at anything because how much, you know, the, just the way they're educated to be an entrepreneur. Yeah. In a school setting, it's like, it just doesn't teach you compared to like, you know, the successes and failures that, that, that we might have faced. And I think our addiction, you know, you fallen 17 months ago gives you that drive of like, I can bounce back from anything. Like I got cleaned from shooting heroin and homelessness. There's nothing you can put in front of me that I don't think I'm gonna be able to get through. Oh, I fall short hair. Cool. Cut. Bait. Move on. Yeah. Like I'm not gonna, you know, I had a pizza shop. I had this great, you know, to talk about businesses. I had a, the last place I owned, 20% of it bought a couple of sober houses. So I was like, oh, the guys go through treatment. Then when they graduate treatment, they move to the sober house. And this pizza shop came on, you know, the market. I'm like, oh, it's a great idea. It's a get well job. Yeah. They can't really put drug addicts with cash on hand businesses. And no, I did it with the best intention at the time it ended up failing miserably. Cuz all I hired was like recovering addicts and you know, unfortunately Got wiped a bit. Huh? Yeah. You go to the register and be a little from time to time. It's like, you know, it was a bad, it was a bad business decision, but like I'm not gonna let it haunt me. It's it's a learning lesson. You know, I'll probably never get into the, the food industry ever Again, You know, but I'm willing to take the risk and you know, I took it on the chin and moved on, you know, Absolutely. This whole thing at life is a risk and we ain't gonna get out alive and we're not gonna get out with our stuff, you know? Yep. Our next partner has a product I use literally every day I started taking a G one because I wanted better gut help, more energy. 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Athletic greens is giving you a free one year supply of immune supporting vitamin D and five free travel packs with your first purchase. All you have to do is visit athletic greens.com emerging again, that's athletic greens.com emerging to take ownership of your health and pick the ultimate daily nutritional insurance people that Can't see their listen. So you got a skateboard and an autographed album and who's that behind you? So the skateboard is my brother, Brandon Nova. He's a good friend of mine, you know, recovery advocate, great speaker. He's like a brother to me, you know, I got one of his like personal skateboards, hung it up on the wall. He actually like de gave me a couple shoutouts and a couple of the books he wrote, which is like, you know, just incredible. Like it's, it's, it's cool that I get to cross paths with some like very interesting people and, and get to hear their story. And we come from like completely different backgrounds. But like the connection is, is, you know, the, the pain we went through, the struggle overcoming it and getting clean. It's like, you can really connect with just about, just about anybody. Yeah. You know what I mean? In that sense. And then Tom Brady is behind me, even though he don't play for the Patriots anymore. I still, you know, guy gave me 20 years of greatness as a, as a Boston sports fan. That's right. And then over my left shoulder as another really good friend of mine, SL he's a underground hip hop artist. He's an actor. He actually got clean in Cali. He was in gone baby, not gone, baby gone. Was it gone, baby, gone killing him softly. He's in like a bunch of movies played, played a cop in his last one, which was shocking. I forget the name. I forget the name on the spot of it. But he's like a, an extremely talented guy in all aspects. As an actor, as a musician, he's like a hot, cool underground rapper that Boston's not really known for hip hop. Sure. But like one of the things that I respect from him as an artist is that he tried to put other like up and coming hip hop cats on like an album, like the Boston project. He tried to give him shine cuz he has, you know, he has like a pretty far reach overseas up the east coast. And he's in recovery. Is that the dude that you were on his track or was it somebody else? Yeah, I, I have a track with him and another guy Rex. Okay. Where we we're talking about I'm my poem is of somebody who died where I'm talking like I'm from the other side. And they're talking about Rex was talking about a buddy of ours that passed away and saying, was talking about one of his friends, but I'm in a music video that he did called do what you love. And we did like a ton of charity work. Like I met him, not like before he was in recovery, just at like hiphop shows, cuz like I would do poetry events. I'd host hiphop, I'd perform it at some hiphop shows locally. And when he got clean, we crossed past and he, he knew like I was, you know, obviously big in the recovery community out here. And we, we did like a couple charity events. He had me host his, one of his album release parties. We worked together for a period of time and he actually just, he's in a partnership group that just opened up a detox and res Charles river recovery. Okay. Which is like 40, 30 minutes from where, where I am. So it's pretty cool to see the impact of like, you know, somebody, I look up to him a lot as like a writer, as an artist and you know, that's like, he's like one of my brothers, you know, big brother. Yeah. I'm gonna have to talk to that cat then, you know? Yeah, Yeah, no I'll connect you. But yeah, no Nova, I mean, that was cool cuz you know, talk to him twice first time like this via zoom and then to go, we actually at castle band with him and bam God, I hope bam is, is doing better man. But, but Nova it's great that he took that. He's got a real charisma to him and it's cool that he's turned that into a thing of, of helping others. I mean another guy become friends with Nova, got him into treatment, Tim loin. He's been here on the podcast and, and, and spoke with him on another one that, that you also appeared on. And it's just so cool how people that you know were so fucking selfish and are using that. We can't, we can't get outside of ourselves that now to be able to turn that around into something and like just, you had said this and I believe it was the, the conversation we had on the other podcasts that I do. And just like, I wake up and aim to be as service. Yeah. You know, that's what I got. Yeah. But that's like, you know, the charisma that he brings the inspiration. I remember when I was in high school and you'd bring in the dare speaker, it's like, they'd roll him in a wheelchair. And you'd talk about his 50 years of drink it. And we used to laugh like, oh, that'll never be me. That'll never be us. Well, what's cool. Nowadays is you have like, you know, inspirational speakers, like Nova going into schools, sharing with kids, trying to get them engaged. I know, you know, every time I try to talk to, to kids, you try to bring an element that like when I was in high school that they didn't have. Yeah. You know, everybody's falling asleep in the crowd to the guy that's not relatable that you can't connect with, but then you see somebody like Nova and he's like, yeah. You know, just breaking down all the achievements he has. And you know, you can check everything that he's done still hit bottom and was able to bounce back. I mean, it's, you know, it's extremely inspirational and you know, he's family to me. So yeah. I love Him. Good dude. Good dude. I hope, hope to see him again. At some point you said something earlier, interesting Matt, that you know about about that love and seeking love. Was it hard for you? This was a challenge. This was one of the last challenges through the AA steps. I'm a 12 step guy like you are, was I felt that presence of a higher power. I actually had a cool moment of spiritual awakening, but I still struggled in the aftermath that why would God love me? Do you find that with people that come into aftermath, that they struggle with that component? And did you struggle with that? Yeah. I mean, this, this, I have some severe like survivors, guilt survivors remorse that like I've lost a lot of my friends that I grew up with. And, and why, why was I like spared a sacrifice and still here when like, you know, other others were not like, what, what was the difference between me and them? That, that they ended up losing their life to this disease and yeah, somehow some way I'm still standing here. And then I also try to use that as like the purpose. Like I try to carry the message, carry their names and everything that I do as a way to like, you know, make sure that they didn't die in VA. You know, like a lot of times I feel like when we were, when we got into using there wasn't education, the way there is now, I'm not saying, you know, it doesn't matter. All the resources in the world could be out there. Addiction can still happen. But I feel like with Oxycontin in my generation and my group of friends in my area, it was like such a new wave. And it came over so fast spread like wildfire. And like, I mean, it's been taking people out and people haven't been able to get outta the grips of it. Yeah. You know, I'm fortunate that I got, I got clean at, at a young age, but then I I've watched so much death and destruction and like people that like genuinely wanted the help and, and they, they would have it. And they had the knowledge, we just lost a buddy of mine, Danny Mack, that like he could, he could recite the book and he was such an engaging powerful speaker. And like, unfortunately, you know, the disease got to him, you know, he didn't stopped taking care of himself, stopped probably doing the things that, that he needed to. And you know, the shit that's out there is no joke. I mean, it's something, you know, I always talk about when I was shooting heroin, I, I wanted to die every single night. I never feared that I was going to die. Right. With, with the joke that, that I used where nowadays, like people are terrified to use because you just don't, it's, it's just, it literally is killing people, you know, at such a rapid pace. Like it's, it's, it's insane. It's like absolute insanity. Well, You know, the, the fucking fentanyl sneaking into everything being split and cut and you know, I mean, we see what here, I don't know about there, but definitely with the pills, you know, people getting M 30 S and stuff and, and, you know, people are listening, maybe aren't in the drug recovery culture, like you and I are, but yeah, they're these, you know, getting these press pills, you know, someone's taking 'em man, cause some dude could be mixing it up in his fucking bath and, and oh, absolutely. Held a split. You get a hundred percent fentanyl you're gone. Yeah. I mean, we, another buddy, we lost that. When they went, went through his room, there was no needle, no syringe, no straw, no rolled up dollar bill, nothing. And I come to find out, he had popped one of those M 30 S that was a straight pressed fentanyl pill. And didn't make it, you know, like it's such a, a deadly lethal chemical component mixture, whatever that like, you know, is serious repercussions when you're using it. Yeah. You know, and it's like one of the most high break things about how, like we're seeing a lot more alcoholics and a lot of it's because there's not a lot of people that are making it out from, from using fentanyl. You know? I mean, it's really ravaging the country. I mean, every single year the overdose deaths have increased. It's the number one. Cause in deaths, in people from 18 to 35. Yeah. Like that's some serious, you know, that's a serious number right there. Yeah. You know, it's not, it's not car accidents. It's not, no, it's, It's overdose deaths is the leading cause for death in young adults. Yeah. Yeah. We've got a, A heartbreaking, A mental health issue that I, I don't have the solution to address. Yeah. But I think the more we get it out there that like, you know, talk about your problems and it's a good thing. It's a sign of strength, not weakness. Hopefully we can come across that. And you know, cause I don't know, other than people that care cuz our government ain't gonna do it For yeah. The government doesn't, doesn't give a shit. But I do think like my father and then to me, for, for an extent, when I was younger, we're taught to man up and not express feelings. Like my father only now in his, late in his sixties is starting to express himself a little bit softer than his entire life. But like as men, we're not told to talk about our problems, that it's a sign of weakness. One actually it's like a sign of strength that you're not holding onto it. You're not bottling it up that, you know, you can talk about having weak moments or feeling like, you know, being able to express whatever it is that you're going through. Yeah. You know, I think if we can continue that conversation of, of allowing us to be vulnerable, weak, and emotional at moments or whenever and pass that down to like our kids. So they're not scared of being like, Hey, you know, I'm feeling like this where you're gonna be shamed and told to man up, you know, don't cry, don't show your feelings. Like, you know, we need to raise, you know, kids that are better in tune with their emotions. Yeah. They don't have to seek that, that substance drinking or drug to kinda numb whatever emotion that they were dealing with the way, you know, I did when I was younger. Yeah. And for me fell in later and you know yeah. And when we to give context, we don't mean come home and show your emotion. Oh the day was fucked. And no, we, we may maybe come home to the significant other and hopefully you have a relationship environment, cuz this is something you should question. If you don't, if you're in the right place, you come home and just be man, I had a tough day at work. You know, the boss is grinding me. I felt like I was overachieving, whatever it is, you know, you know, man, a friend of mine is sick and you know, any of that kind of stuff It's yeah. Sad over it. Yeah. It's important. It's okay to go like man, I'm sad. My energy isn't there. It's okay to have these things. We don't mean be arranging Dick about it. No, no, But express it. Yeah. A healthy, we need to learn how to express these emotions and feelings in a healthy manner. Not outbursts. Yeah. And what, which is hard to learn what exactly that is, but you got, you gotta work it to figure it out. You know, It's, you know, everything's a process, nothing, you know, takes time, takes learning, finding the different skills on how to cope and deal with different things. Yeah. Which can be a motherfucker. Yeah. Definitely some challenges on, on the way to figuring some things out. I still haven't figured everything out. You know, do we, do we want to though? No, no right. To figure everything out, it'd be a boring life. What, what else are we living for? You know, there's gotta be some tweaks and, and things that we can work on. You know, I, I wanna ask cuz you've got some good longevity with, with new people that come into the program, do they get thrown off? Cuz I'm starting to get lately a lot of dudes, like what does this AA saying mean? What does this one mean? You know, as simple as one day at a time I broke it, broke it down for a dude in my perspective. Yeah. Do you have some of the newcomers kind of hitting you up about some of that stuff or the people in, in the aftermath? I mean sometimes, sometimes people, you know, they question why certain things of the way they are or certain approaches are or you know, they get overwhelmed when you start. Especially like with alcoholics that, that I've been seeing lately, like a lot of first, a second time in treatment, still struggling with the idea that they're an alcoholic and you know, they're like, I'm never gonna be able to drink ever again. And you're just like, nah, man, keep it in the day. You know, just, yeah, just make it through the day, one day at a time, you know, and you build on those little victories and then you achieve, you know, something more and don't try to look too far ahead because it's overwhelming. I gotta, I gotta P mine he's struggling, but his significant other doesn't want it, like hear it. It's this perspective of, oh, just stop, you'll be fine. And it's like, Oh, if it was only that easy, Right. How do you combat that stuff? I'm kind of seeking advice for him maybe to drop him this. I mean, sometimes you have to look at the relationship. A lot of our friendships and relationships are developed on that connection of drinking. Yeah. And then sometimes, you know, people grow a pot, friends grow a pot, significant others grow a pot. And maybe somebody has to take a look that if, if, if drinking has become such a problem and you're not necessarily getting that support, you know, if they're still, are they still actively drinking too and still partying, but expecting your friend to stop Or yeah. Yeah. I mean that, you know, if you're trying to stay sober and you come home to a girl that's still drinking, partying and being around that lifestyle, that's something that's really hard. It's not a very healthy environment. If you're trying to better your Life, it's a good path to fallen off real quick. Yeah. Like, I mean, imagine, you know, all it takes is one bad day, a fight with your boss and you come home and your girl's there drinking and you just, you know, you get a case of the buckets and you know, you just grab that bottle and, you know, washed away whatever time that you've gained, you know, it's really difficult and toxic settings like that. Yeah. Cause I, I, I think one of one thing that really was important to examine, and I know you went through it too, was realizing the snorting of other people, you know, that, that codependency, I mean, some of us just do and there's some people that that's all it is like, you wonder like, wow, her, her, that this man or woman was in this relationship. We recently had this in the news with two celebrities. Yeah. Seems like a terrible toxic place, but there's something about that process of the activation of flight or fight or flight mode and kicking our serotonin and dopamine. And we confuse all this horse shit with, with love and it ain't fucking love. It's just no, not at Alling people man. And I mean, some people like that, they were raised in chaos. Yeah. So being in chaos, chaotic situations like that is something that as sick as it sounds is like normal to some people like without that toxicity, you know, sometimes people can't be in the mundane relationship that like everything is going nice. They need to stir the pot, you know, drop a shirt on a pillow, you know? I mean, you know, who doesn't come home, you know, Hey, I need to spice things up, you know, let take a shit on somebody's pillow. It's fucking wow. It was a, it was a grumpy, Matt Was, it was the Dog. I forgot it was a gr it's a grumpy, a fucking, But that's, but that's the thing. Like we grow up a lot of times in like chaotic situations. Yeah. Like I've always, I've struggled significantly with love. Like I, I have never rarely seen like a healthy, normal relationship. And then I look back at my years of trying to, trying to date or figure out what is love and who I'm with. And like, all I see is the same cycle repeating itself. And you know, it stems a lot from like what we were raised in. And when you're raised in, you know, unhealthy relationships, like sometimes, you know, the abandonment issues kick in, you latch on, you know, as bad as it may be the fear of going out in the world and finding somebody else keeps you in situations that you're not happy in. And then, you know, that misery is, it's like a comforting misery that you're just, you know, you're attached to. And then that fear of separating. And then now you have to stand on your own and who are you as a person, if you're not with, you know, married to this girl or, or in a relationship with this guy? Like, who are you when you stand on your own too? You know, it, it's very difficult, especially when you put sick individuals, like all of us apart. And you're like, Hey, be, you know, do the American dream marriage, big house, white picket fence and, and raise healthy children, you know? Yeah. Oh, Doesn't always come, you know, out how the American dream has been portrayed to us since we were kids. Yeah. And there definitely is that thing, that fantasy mindset that is, I thrown out there that us addicts got a ditch. Cause we lived in so much of a fucking haz of a, a, a lack of reality for so damn long. So it's crazy, man. It's crazy. Matt, we're gonna finish up with some fun, random questions and leave you at the final words. Tell people how to hit you up and I'll include the links in the podcast description. Yeah. You can find me on Facebook, Matt, the poet on Instagram and Twitter at Matt G under school poet. The treatment center that I own is aftermath addiction treatment center on Twitter. It is aftermath at aftermath, TC on Instagram. It's at aftermath underscore treatment. Yeah. Look for the Phoenix. You know, I, we have a very good quality brand that, that pops and has some very sentimental meaning in the name and, and you know, Phoenix as a writer, I write a lot using the metaphor, rising out the ashes of an attic. Reborn is a Phoenix from the fire. Like I use, you know, those type of metaphors a lot. So having like the Phoenix is the logo or the treatment center was like, you know, it just like came to me, had to, had to put it up there. You know, I love it. This, this, this one. I can't even, I don't know that you can see that that's my, my pirate in a bird, but this was gonna be a Phoenix. But the design that the tattoo artist and I had, cause I got shit on my shoulder, on my left shoulder, wouldn't fit. So that'll be reserved for the right arm with Phoenix. Cause that, that gave me chills. I'm kind of with you on that with Man coming outta the ashes, you know, shitty situations as, as an addict or an alcoholic, you know, we're shedding that dead skin of, of our active use and reborn as a new person in sobriety, you know, the metaphor runs deep for, for what, what we do at aftermath. You know, Absolutely 51 50 is a lifestyle we believe in pushing yourself, finding your passion, knowing your dreams and working hard and always striving to make those dreams. Your reality. We believe life is too short to sit back and say, what if go after it, grab it and make it happen. Being 51 50 is committing to that long, hard road that road, you know, is going to be tough, but the most rewarding that's living the madness. That's 51 50. If you're living the 51 50 lifestyle, then celebrate by rocking the goods. So listen up. There's a special deal for listeners of knocking doors down, go to 5, 1 50 ltm.com and enter co KDD 20 and receive 20% off your purchase. That's five one F I F T Y ltm.com. All right, man. Let's jump into those random questions. Yep. If you could have dinner with any one person alive or not, who would it be? Damn or not? Could I do both? Somebody's alive and somebody who's dead. All Right, go ahead. Throw a dinner party. I would love to sit down with Tupac. Yeah. Tupac's like my favorite writer and the emotion and all that comes with it. And then a person that's would probably like to have conversation on, on how he's been able to adapt to his circumstances coming from where he came from to get to where he is and evolve as an artist. So I think that would be a cool two cool conversations, even though Tupac, Get to break bread on this. Exactly. You're stranded on a deserted island. You got one movie and one music album with you. What are they? Hmm. Movie would be probably Goodwill hunting. I watch that whenever. And then for album would be it's doc and hell is hot. All right. That's funny. I posted something the other day on my story. I said where it was. Do you like apples? How about them? Apples. Yep. Yep. I love Goodwill, huh? No, I love that movie. I mean, what hap there's like a bunch that come to mind, like I'm a big Marvel fan and, and style wars. If I could get a whole collection, it probably would've went to one of them, but you know, I'm gonna rock with a classic I'm with you on star wars. One of my things, my previous sponsor, he goes, what did you love to do as a kid? And I'm like, ride, ride my bike, this and I go, I love to build Legos. And he goes, all right. And he sent me a gift card. So now I've got two bookshelves full of star wars and race. So hell yeah. How'd you like OB how'd you like OB one? OB won was fucking dope, man. Oh, was so sick. I loved it. The scene with Veda. I mean that turned, you know, that tugged on my hot strings, you know, they're two great actors and like, I wish we could get more even though I don't. You can't, you can't play anything else out between them two. I, yeah. I wonder cuz I've read some rumor about that. They were gonna do a second season, but I'm like, where do you from That? Why you can't have Vader in it like that is, I personally believe it's a perfect segue into a new hope and, and where they are at that point. I don't think you can do too much after that. You know, If you were in a star wars movie or TV show, would you play a Jedi or a isn't isn't it? Yeah, man. You know, I mean, peace loving happiness is the Jedi. And you know, I probably try to figure out some, you know, weird way to gain power and I don't know, sister just cooler. Yeah. You know, I love Vata. Veta is my favorite character and any movie, his whole arc is pretty dope. So I think I'm gonna have to rock with, with Seth on That one. And the OB one series made me like the episodes one through three Even more. Yeah. Yeah. No, definitely. It, it pulled me back in. Alright. You brought up Marvel. If you could have one superpower, what would it be So many of them to choose? Right. Probably fly. Yeah. They fly and be pretty dope. Just get where you want to go. Huh? Yeah. You know, don't gotta sit through TSA, go hop on the island. I'll go shoot down to Bo Bo. Oh dude, I'll go with you. If you can carry, That's just carry a couple people, you know, get like something to, to latch on. And we'll just, you know, we'll whip there real quick. Yeah. The, my girlfriend and I, we did a vision board and so for the vacation, I got the, the, the little huts over the water and Bo board. That'ss The spot I wanna Go before I die. I wanna make a trip out there because it looks so beautiful and peaceful and there's nothing. It's like, you have those little huts and you can just soak up, you know, just natural beauty, you know, peace, peace and quiet out there. At least that's the way it seems in pictures. Right. That's that's what they show on the reality TV Too. And real beautiful out there. Absolutely. Matt, thanks brother. If you got any words you wanna throw out to people, you know, through your experience, you know, floor is yours. Yeah. Yeah. I mean, anybody that's out there struggling, you know, keep fighting, never give up. We all fall down. Don't get discourage at yourself or beat yourself up. When, when we have little slips, very few people actually get it in their first time. But the worst part, you know, is when you beat yourself up, you don't end up making it back. So I play in like a men's basketball league and, and we have a kid on our team that fell off, got into a bad car accident, faces all messed up. And we were trying to talk him into like going into detox yesterday. And it's like, you can tell sometimes the burden and, and the shame just like drives you away. And you're just like, yeah, I'm gonna do it tomorrow. And then tomorrow comes and you don't do it. And then another day or next week or Monday, or, or on the first or whatever it is. And all of a sudden you're on like a five to six month run, creating even more wreckage where, you know, just put the bat down, stop beating yourself up, give yourself a chance, reach out to people that are out there asking for help. You know, I know it might not feel like it, but you deserve a far better life than it, you know, revolving. You're waking second from using, from drinking, from lion sheet and stealing. You don't have to live a life like that anymore. And you know, just give yourself a shot. You know, life is a hell of a lot better on this side of things. When we get to see things clearly be present in our kids' life, have a good support network, great friendships that aren't based off of your drinking buddies or who can get the best dope or Coke, or who has money, you know, and do the things that you love to do. You know, recovery's a lot about hitting meetings, building a network, you know, finding the supports in every way, but find the things that you love to do on top of that. You know, like sometimes people get caught up and it's just meetings and meetings and meetings. And like, you know, you get meeting, you get meetings out really quick. So find some of the things that you love. You know, I'm blessed that, you know, my son's into like comic books and style wars. So we go see those movies. I play basketball sports. You know, we get involved in a lot of like the recovery events out, out our way. So find things that you love to do hiking beach, you know, you still gotta live your life and enjoy it and be happy. You know, that sadness, that hopelessness is too heavy of a burden to bear. So This podcast contains the views and opinions of the knocking doors down hosts and their guests to the show. The content here should not be taken as medical advice. The content here is for informational purposes only. And because each person is sharing their unique perspective, please consult your healthcare professional for any medical questions, views and opinions expressed in the podcast and website are our own and do not represent that of our places of work while we make every effort to ensure that the information we are sharing is accurate. We welcome any comments, suggestions, or correction of errors. Privacy is of the utmost importance to us for those wishing anonymity people, places and scenarios mentioned in the podcast have been changed to protect confidentiality at the request of certain guests. This website or podcast should not be used in any legal capacity whatsoever, including, but not limited to establishing standard of care in a legal sense, or as a basis for expert witness testimony, no guarantee is given regarding the accuracy of any statements or opinions made on the podcast or website in no way, does listening, reading, emailing, or interacting on social media with their content, establish a doctor, patient relationship. If you find any errors in any of the content of this podcast or blogs, please send a message through the contact page. This podcast is owned by K D D media company.
徒手空拳日記 2022年7月4日月曜日 60時間も使えない携帯電話って、江戸時代の飛脚より、使えませんよね。徒歩の時速4キロとしたら、auの復旧を待つよりも、直接歩いて伝えに行ったほうが、だいたいはやいです。今回、auユーザーは、電話もネットもまったく使えなくなる、貧困層のつらみがよくわかったのではないでしょうか。よかったですね。 そもそも、auが60時間使えなくなるのと、セブン-イレブンのWi-Fiがなくなるのとでは、どちらが人の命にとって重大な停止かといえば、貧困層にとっての最後のライフラインが断たれるという意味で、私は圧倒的に後者だと思いますが、日本のうんこマスメディアにそういう視点は、一切ありません。こだまでしょうか、いいえ、誰でも。 ひとのあいだに、KDDと、稲盛和夫のDDIが合体した会社がKDDIですけど、KDDの国際電話とか、本当に市場として完全に消滅しましたよね。いらない会社を吸収してできた会社を、稲盛和夫のどケチ精神でぎゅうぎゅうに締めあげた成れの果てが、KDDIだと思います。でも実は、国際電話だけでなく、国内の通話サービスも、ぜんぜんいらないサービスです。 もしも明日 私たちが何もかも失くして ただの心しか持たない やせた猫になっても もしも明日あなたのため何のとくもなくても 言えるならその時 愛を聞かせて これは、中島みゆきの、あしたっていう曲の歌詞ですけど、この歌を大げさに使って、海外転勤で離れ離れになる男女に、KDDの国際電話があるからね、みたいな広告が、1980年代には暴力的に流れてました。くだらないですね。 KDDのような古いプラットフォーマーだけでなく、楽天とか、カーセブンとか、ベネフィット・ワンとか、本当にいらない会社ばっか、それが朱子学カルトの満洲国2.0ですので、みずほにしろauにしろ、なきゃないで、別になんとでもなります。ライフラインづらしているものほど、単なる因習でしかなく、セブン-イレブンなども、あっという間に、単なるストロング系のエタノールステーションでしかなくなってしまいました。 世の中から固定電話の通話サービスがなくなれば、オレオレ特殊詐欺もなくなるし、固定電話で支持政党を聞いてくるしょうもない世論調査もなくなります。先程ファックス送りましたとか、先程電子メールお送りしましたとか、確認電話もぜんぜんいりません。 繰り返しになりますが、auの電話がとまるよりも、セブン-イレブンの無料Wi-Fiが、完全に消えてなくなったことのほうが、人の命にとっては、重大インシデントです。そんなこともわからないで、マスゴミのみなさんは、存在する意味、あるんでしょうか。 本日は以上です。ありがとうございました。 人のゆく裏に道あり花の山
Resumen con pequeños cortes, de lo que fue la la Kdd de CacharreoGeek en Madrid.
Certains l'ont découvert avec son groupe KDD, notamment connu pour les morceaux et classiques “Une princesse est morte” ou “Sales gosses”, d'autres ont entendu parler de lui en solo. Dans les deux cas, le rappeur toulousain Dadoo a su placer son nom parmi les acteurs importants de la scène rap dans l'hexagone aussi bien en tant qu'artiste qu'en tant que compositeur, et il était ce vendredi chez Sims sur Nova.
MLOps Coffee Sessions #93 with Krishnaram Kenthapadi, Model Monitoring in Practice: Top Trends co-hosted by Mihail Eric // Abstract We first motivate the need for ML model monitoring, as part of a broader AI model governance and responsible AI framework, and provide a roadmap for thinking about model monitoring in practice. We then present findings and insights on model monitoring in practice based on interviews with various ML practitioners spanning domains such as financial services, healthcare, hiring, online retail, computational advertising, and conversational assistants. // Bio Krishnaram Kenthapadi is the Chief Scientist of Fiddler AI, an enterprise startup building a responsible AI and ML monitoring platform. Previously, he was a Principal Scientist at Amazon AWS AI, where he led the fairness, explainability, privacy, and model understanding initiatives in the Amazon AI platform. Prior to joining Amazon, he led similar efforts at the LinkedIn AI team and served as LinkedIn's representative on Microsoft's AI and Ethics in Engineering and Research (AETHER) Advisory Board. Previously, he was a Researcher at Microsoft Research Silicon Valley Lab. Krishnaram received his Ph.D. in Computer Science from Stanford University in 2006. He serves regularly on the program committees of KDD, WWW, WSDM, and related conferences, and co-chaired the 2014 ACM Symposium on Computing for Development. His work has been recognized through awards at NAACL, WWW, SODA, CIKM, ICML AutoML workshop, and Microsoft's AI/ML conference (MLADS). He has published 50+ papers, with 4500+ citations and filed 150+ patents (70 granted). He has presented tutorials on privacy, fairness, explainable AI, and responsible AI at forums such as KDD '18 '19, WSDM '19, WWW '19 '20 '21, FAccT '20 '21, AAAI '20 '21, and ICML '21. // MLOps Jobs board https://mlops.pallet.xyz/jobs // Related Links Website: https://cs.stanford.edu/people/kngk/ https://sites.google.com/view/ResponsibleAITutorial https://sites.google.com/view/explainable-ai-tutorial https://sites.google.com/view/fairness-tutorial https://sites.google.com/view/privacy-tutorial --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Mihail on LinkedIn: https://www.linkedin.com/in/mihaileric/ Connect with Krishnaram on LinkedIn: https://www.linkedin.com/in/krishnaramkenthapadi Timestamps: [00:00] Introduction to Krishnaram Kenthapadi [02:22] Takeaways [04:55] Thank you Fiddler AI for sponsoring this episode! [05:15] Struggles in Explainable AI [06:16] Attacking the problem of difficult models and architectures in Explainability [08:30] Explainable AI prominence [09:56] Importance of password manager and actual security [14:27] Role of Education in Explainable AI systems [18:52] Highly regulated domains in other sectors [21:12] First machine learning wins [23:36] Model monitoring [25:35] Interests in ML monitoring and Explainability [27:27] Future of Explainability in the wide range of ML models [29:57] Non-technical stakeholders' voice [33:54] Advice to ML practitioners to address organizational concerns [38:49] Ethically sourced data set [42:15] Crowd-sourced labor [43:35] Recommendations to organizations about their minimal explainable product [46:29] Tension in practice [50:09] Wrap up
In episode four my guest is Felice Merra, who is an applied scientist at Amazon. Felice obtained his PhD from Politecnico di Bari where he was a researcher at the Information Systems Lab (SisInf Lab). There, he worked on Security and Adversarial Machine Learning in Recommender Systems.We talk about different ways to perturb interaction or content data, but also model parameters, and elaborated various defense strategies.In addition, we touch on the motivation of individuals or whole platforms to perform attacks and look at some examples that Felice has been working on throughout his research.The overall goals of research in Adversarial Machine Learning for Recommender Systems is to identify vulnerabilities of models and systems in order to derive proper defense strategies that make systems more robust against potential attacks.Finally, we also briefly discuss privacy-preserving learning and the challenges of further robustification of multimedia recommender systems.Felice has published multiple papers at KDD, ECIR, SIGIR, and RecSys. He also won the Best Paper Award at KDD's workshop on Adversarial Learning Methods.Enjoy this enriching episode of RECSPERTS - Recommender Systems Experts.Links from this Episode: Felice's Website Felice Merra on LinkedIn and Twitter Adversarial Machine Learning in Recommender Systems (PhD Thesis Final Presentation) Workshop on Adversarial Personalized Ranking Optimization at ACM KDD 2021 (awarded Best Paper) Adversarial Recommender Systems: Attack, Defense, and Advances (chapter in 3rd edition of Recommender Systems Handbook) Information Systems Lab (SisInf Lab) Thesis and Papers: Merra et al. (2020): How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models Merra et al. (2021): A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks find all the papers on Felice's website General Links: Follow me on Twitter: https://twitter.com/LivesInAnalogia Send me your comments, questions and suggestions to marcel@recsperts.com Podcast Website: https://www.recsperts.com/
The Knockin' Doorz Down podcast. Our mission is to bring voices to the addiction recovery and mental health illness community through advocacy and accessible resources. Listen to and Subscribe to the podcast wherever you listen at https://linktr.ee/knockindoorzdown © 2021 by KDD Media Company. All rights reserved. #TeranceMcKinny #TWrecks #MMA Terrence McKinney aka T. Wrecks sat down with Jason and Mikey to share his near-death story of substance abuse, redemption, and spiritual progress. Growing up, Terrence lived mostly with his Grandmother. His mother was trying to get her life together & gave him to her in hopes that she would raise him better than she was equipped to at the time. His father was never a part of his life. He was hyperactive and would get in lots of fights. One time his grandmother locked him in a basement for 24 hours. These types of events were traumatic and Terrence didn't deal with them until later. He started doing drugs and drinking heavily as a teenager to repress the trauma he was experiencing, and this quickly spiraled out of control. One night after taking a lot of mushrooms and other drugs, Terrence woke up in the hospital after being revived by doctors. He had no idea how he got there or what he did, but he knew that he didn't want to do drugs like that anymore. Turning his fighting into a career seemed like a natural progression for him at the time. Luckily he was able to find discipline in the sport, and this in turn made him more disciplined with how he was treating his body. If he treated his body poorly with drugs and drinking, he couldn't get where he needed to be professionally so this turned out to change his life for the better. He stopped drinking & using drugs altogether, and has since been focused on his mental and physical health. He realized that he needed to face his trauma & past head-on, so he could deal with it and move on in a healthy way in his life. Now he's finally done that and had to make some very mature decisions about what path he wanted to go down in life. Now, he's one of the UFC's rising stars, with a world-record-setting time of 7 seconds for one of his knockouts. He trains 3 times a day and hopes to continue his path of personal growth and maintain his health. This is Terrence McKinney in his own words, on Knockin' Doorz Down. For more on the Knockin' Doorz Down podcast and to follow us on social media https://linktr.ee/knockindoorzdown For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For 51FIFTY use the discount code KDD20 for 20% off! https://51fiftyltm.com/ For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma and Race for Autism programs visit: https://www.carlosvieirafoundation.org/ This episode is brought to you by Better Health. We want you to start living a happier life today. As a listener, you'll get 10% off your first month by visiting our sponsor at https://BetterHelp.com/listener Transcription Don't be afraid to reach out, man, cuz you never know who's going out going through the same thing to you. You your testimony is your story. Could be that one story that if next Tuesday posed to be better, so don't be afraid to share your story. This is the Knockin doorz down podcast with the mission to bring voices to the addiction recovery and mental health illness community Through advocacy and accessible resources, and we talked to amazing. Guess they've been there and found purpose in their lives. I'm Jason alcoholic. Struggle with mental health issues, like, anxiety and depression. My co-host Uncle Mikey. What is going on people? He's not a little bit of a severe anxiety and panic attacks when she say a little bit more than a little bit, but yes, I would say Our Guest this week, Terence McKenna T-Rex. If you recognize that name, yes, you are a UFC fan like us and he suffered a severe over. Nelson watch his heart stopped three times. He talks about how he fell into substance got out of it and what he's doing with his life. Now. Definitely been through some crazy shit. That's for sure. And we thank you guys for listening wherever you are to this podcast. Don't forget to hit the Subscribe button. On Apple podcast Spotify. You can leave its ratings. There helps is climb the charts and we are everywhere. You get Podcast and hey, tell a friend Sharon episode. That's how we grow. And we appreciate you. Dear ex. What the hell, man, this is cool. Thanks for a talking with us here on Knockin doorz down. Yes. That is all my door said Terrance McKinney UFC lightweight man. That record seven seconds. That's it was badass. I remember watching that. Did he retire after you just quit after that? SoHe came out there for like, 45 times in the first round. The babe, you and, of course, as the UFC fan MMA. I do want to get in that little bit later. But, you know, thank you for coming on here to share your story of, you know, drug addiction and substance abuse, man. I mean crazy that your heart stopped in two or three times was what turned your life around yesterday. If the Ricochet effects of all the things I do that. I did that time that affected my family, so it really was a game-changer for me. Yeah. I want to jump back in kind of know. I don't know much about kind of your upbringing in and and childhood was was drugs, pretty prevalent, where you grew up, you know, what was, what was life like for you family life? And IYou know, it's time. I didn't realize but I did the best I could do, you know, and I'm grateful what they did, you know, add live with my grandma are going up hills like 8 years old. So it hurt at the time, only getting to see my mom like one day at a time. And then then she got to leave the next day. But she made a pact with the ultimate sacrifice Plaza. First born and gave me straight to my grandma, so she can help change her life around by joining the Army, you know, I got beat up, man, but I needed a little hyper active kid always doing too much. You know, I'm very proud that me. Let's talk through it. I just need a smack. Stuff to do with me. I always figured out a way. So you living with your grandma and like you said, your mom was doing what she needed, but Dad. So, dad was present at all. Never man. And I think I smoked one and I was like 13. And some huge trouble was able to quit for a graduate and then like once I got that freedom town of chicken or a lot of advantages of it, you know, sure. And those lot of hurt that I've dealt with growing up, you know, but God help me heal from it, you know. Not being a see, my dad didn't hurt me. But what I had to realize that the face that problem that it did hurt me, and that was the only way to heal instead of denying it at the Dewey. Now think that I thought didn't hurt me like one time. I my grandma's locked in the basement for 24 hours, you know, like just things like that, you know, it's just cuz like its not cuzShe want to be evil is just what she experienced. Like, I can't get mad at them for cuz like, my mom grandma was in, like time to slavery time. So way, they just grew up with intense like punishment for bad behavior. You know, she was only doing what she was tossed, so I can never blame, you know, cuz that's what, that's, what kills me that they don't know the bigger picture. They don't know what their parents parents. Parents growing up way, what might not seem normal, to me was normal too. Now. That's what I was able to heal when pushed you for the better Rex Terrance McKinney coming up. But my key first we got to think 5150 LTM. I wish wagon ass out wherever we go. Keeping us looking fresh. That's right. If you are into a Lifestyle brand that is all about propelling yourself to that next level Checkout, 51. 50 hats shirts. Sweatshirts my favorite theNo sweat. I can't I can't believe fabulous in the 5150. Gear. What's your favorite stuff? That you were? I like Chargers man. I like the joggers to gray ones. Especially some sweatshirts hoodies, but definitely joggers are my favorite to go to pairing with some nice shoes. You're good to go. So if you want to check out 5150 a Lifestyle brand with a purpose, hit that link in the podcast description 5150 eltiempo.com and as a listener Knockin doorz down Mikey they get a discount. And what is that promo? Code Jason use. Kdd 20 and get 20% off your purchase right now. What is it? Kdd? 20? 20% off your purchase sick. Yeah, there's a lot that people don't understand especially when you know what the lineage you come from in and so made that intergenerational trauma that, you know, people don't think that shit happened. 100 years ago, can continue to roll over in like your experience, isn't exact proof that that does happen and it and it does carry Ford, especially if we don't have emotional maturity around us and how it manifests cuz I know for me that's when I really started loving popping them drinks. Exactly man. What was was there? Any good Outlets? I know you did some wrestling. But you know, how did you do? How did you find a channel that because you didn't really start to have trouble, tell College like real serious trouble, my correct, but I always like fighting or get in trouble andWrestling really saved my life in high school. That's what I was going to ask you. If we had talked to Chuck Liddell. I'm like, what were you like as a kid, being the person you are or who you were in the UFC? And then you Terrance the Yoshi. Now, but I just picture you guys just beating everybody up in your kids. Still running my group, that's 11 kids that live in my grandma house. So costly, I'll get my ass beat over or like I'll have to share my clothes. So just really sucky man, like a lot of irritating thing, you know, that I have to deal with and all the sexual molested as a you. So I that's a lot of things I dealt with it, like, a lot of people don't know. But I know these stories like these is going to help people heal for the better. So they feel that like, they're not alone. So like, I think it is it a pleasant cuz now I get to help people all across the board and I'm grateful for that. Yeah. I know. I appreciate you saying. Because I like you just said, there's a lot of people who go through these things and kind of suffer in silence. Like, with me, when I first, you know, had anxiety. I thought I was having a heart attack. I didn't know what was wrong with me, but I also didn't want to look like a little bit, so I didn't tell anybody about it. But that's the whole point of what Jason and myself do, is we shed light to it? And let people know that they're not alone. You know what I mean? Like, you're not a little bitch. If you have anxiety, a lot of people having anxiety. We just talked about it. We've shed light on it. So I appreciate you chatting light on that. What were the circumstances of your light and 11 kids in the house, man, like did you get bullied? Because of that to like, what was it like going to school then? Yeah, I got bully cuz like I said, I was a little rough man and I'll try to fight anyone like beer with this never thing from the artist. Bob my uncle's like what's the worst? I can have already took them and I tried it. What kind of live by his model like they told me they said if you guys get in a fight don't start it, but you better finish it, you know, you better help. That's just how we roll. Do they call the they call them to Henry gang out there and Linesville Alabama man like that there, real early days of being a teenager growing up there in Alabama. It was different. Like, sometimes, when I make a mistake at school, I was in the past year where I got paddled in school, and then I have to go back home and give wolf pajamas so bad. Like I start being look angry stalker, you know, I didn't go through that and I told you about that. They're like, what the hell? Yeah, man. It was still around 4 S. Where did they hit you? Like? My dad said, he would get hit on the hands. With the rule. Is that all you got on the bus? That's a messed up shit. It's probably that probably made it pretty tough than to trust any adult. Cuz my grandma sign is so they could but some parents wouldn't if they gave you the option. Yeah, I don't know how if I was an educator, I could do that to a child. That was my just like it over here. Before. I I I don't think it'd be a problem. What time you was trying to trust any adult. I'm going to assume you probably didn't want to go to any adult with any sort of issues and open up at first, you know. it sounds like always like to keep to myself andlike you said, I was trying to be that tough guy like you deal with on my own but that's not the way to go. When you got to talk it out, find someone that you trust, you know, the more you talk about it the easier it gets. So what at what point in in college. What was that? Kind of the gateway drugs for you? I mean, I know you talked a little bit about high school age. Were you partying Indian High School, drinking any other stuff or is it just kind of I did not turn up until I wore my State title, but last night when I went to like one party and it was the worst. I think I was like spitting on myself. I peed on some people. I've only been there man, woke up and kissed a few times. And then like, I didn't turn off again till like, I went to college, but I was going like, Molly, everything like cocoa, Cocoa, Puffs, Smoke, a song in a bucket. I'm in college. There, you might as well just fuck it. Sister said I was Bob then get them puss or real baby. I guess you're used to text Greg. I know for me is a guy that went to college for way too long. I should be a doctor like dealing with a lot of those insecurities of the trauma and not understanding that. Do you think that that was kind of what it is wanting to fit in? Like you said, you don't want me places, you know, and that's why I didn't realize like I'll check the wrong thing. I need to chase to love my family, be a leader for them man. Cuz at the end of the day, I had to realize that these guys want to be like me they want to be around me and once I realized that it helped me change a lot. So what was the? Let's talk about the night of the that the change your life, man. I mean, I haven't watched your your fights, the majority of them. I would have never have guessed heart stopped and two to three times man in an Audi. What can you kind of take us to? That day, what that was like. And I mean I'm going to assume you are on a rager and just like let let's do it all. Yeah, I was drinking a little Kickback with the homies and they had little vial and I was like screw it, you know, Chucky and then like couple hours like talk like 20 minutes later. I took what I like shrooms and then like I went to get some more weed and then it start hitting me. When I was around. I'll go inside crazy man. Like I said, you know, like pee was to start looking crazy like their smile. I like what you do not know me and I'm trying to change the tower to keep turning into a freaking weird, some demons come out of nowhere. And do my old shoe so I start praying, you know, and I start speaking a whole nother language. Wow. Oh my. Oh, what the hell? Am I tripping? Dad. Now and I'll say, so I start painting my head control my thoughts like thinking. So I start playing in my head and then after second outside, and they're still right here, and I was like, fuk it. I said, I was like, I'm not afraid you guys just letting you guys to do to me and I shut my body down, bro, and I have to watch myself fall through a window and slow motion, start, spazzing out. So I got knocked out and I feel like all of reality melting in like a weird little circle and then the troops got crazy and crazy after that, and then I woke up in a hospital, the next day. Did they tell you how they brought you back? Was it like narc and they have to drill into the harder. I mean, I don't know. But I saw the cops. And I did some 007 stuff, some tuck and roll some Army cross snuck out, the hospital and MOB my way home. I don't know what I did, but I still have the cost of air for me. So for my hands were all slow. Now is all bloody officer. Shoot. What did I do? I thought I was dreaming, just sitting down tripping the whole time. So so is that the last day? Did you like that you ever used, or did you kind of continued a little bit? Or is it like my life is, got a change, was that the as they say, Rock Bottom, you know, come-to-jesus it changed, you know, but I still do, you know what? Cause she wasn't doing that, but I just knew I was going to do any drugs like that. Again. I just stopped experiment at that. Just stuck with the weed in the liquor, and then eventually end up quitting all of it. Once I started fighting, was there ever any point of of seeking any sort of treatment counseling or anything after that? Like I know there's some underlying issue or I got a deal. I went to counseling at Riverside and got the help that I needed was not processed. Like, I mean, let you know I hear for kind of your childhood story cuz I kind of can relate to some extent and and not really trusting adults or knowing adults. These are the people that bit with my ass pretty much was it a hard process for you to sit there and open up and start to trust someone before it to the outside edge. Isn't buying drugs, man. I didn't really see myself as a person to needed help because it wasn't like something I wasn't. My addicted was never hard for me to just be like I'm not going to do any of you but it was just the final open up, just realizing, I'm not the only one. Once I start hearing all these stories and I just finally stopped. Like, take me to buy is like, a grain of salt can actually take him serious, like hearing people out, taking these steps to Hill and ask me, treating it like homework and trying to get it done. And it's probably best decision. I ever made in here. And Other Stories. Did you do like group therapy sand GroupMe? I did, I have to humble myself and realize like this. I could be easily in a worse spot. Just like these people like we're all equal and that's what I had to realize in, and I just start coming. And I was able to become a better man from and I'm thankful to God, for insurance Hanson credible, man. Did you find any mentorship in those groups of people that maybe you kept in touch with the, for a long time or still, or no. When I just have to realize day and now I just keep them close, you know, I feel free to reach out when ever I'm struggling or whenever I need help because we areWe all need that right? People that we can trust what the treatment stuff. She would humble themselves cuz I know it's hard. When you just think they're better, make you not really want to go or take you seriously, but we're all sick there for a reason, you know, if they didn't. And I had to put my pride aside and realize that accept that they're not wrong, you know, so, you know, denial is a huge thing, you know, you having something preventing you from achieving. Your goals are interfering with your happiness will check out. Betterhelp.com listener. That's better h, e, l p.com listener, betterhelp a few with matching your own license, professional therapist. Here's some great things about betterhelp. It's more affordable than traditional offline counseling and financial aid is available Plus betterhelp. Is committed to facilitating great therapeutic matches, so they make it easy and it's free to change counselors. If you need better, help has licensed, professional counselors who are specialized in depression, stress, anxiety, relationships, sleeping, trauma, anger, family, conflicts, lgbtq matters, grief, self-esteem. It's all confidential and you can check out the testimonials posted daily on their site. It is not a crisis line. It's helped betterhelp you to start living a happier life today as a listener, you get 10% off your first month, by visiting our sponsor at betterhelp.com listener. So join over 1 million people who've taken charge their mental health again, that's better. Help a t? L p.com listener, a proud sponsor of the Knockin Doors Down podcast. I know I was a guy that was always. I can have just one beer tonight. You know, I'm going to have to the third's that can be used to waking up the next morning. You know, it's like I don't remember puking but I guess I did or whatever else, like shit worse, man. You'd look on your bed and there's just vomit and piss everywhere. Like, how about you? Me and piss on me. Largest in all of the dangerous Behavior Amanda, you know, it's like when we were young and full of testosterone and we're like, you know, I don't want to be alpha male and of course we get whatever substance in us and it's like, alright, man. Well we want to go out and do you know bag of chick or whatever else it is and you wake up in a fucking strange place and you know, that shit is like now at my fucking scaring me man. I roll the dice a lot. A lot of dick roulette. I would call it. You know, I'm a little early too. I'm glad I'm going to share a story. I haven't told anybody let alone on the podcast. There was one time I was partying right? Hardcore, woke up with the chick next to me in bed right now, and I I pissed I didn't realize he was covered in mud. So, you know, what is there was beers around me. So I cracked open the beers just poured it all over the place. So I mean it looks a lot better thinking that I spilled beer all over the place around there. So you go to you're the first one to hear that well Terence, we know that you're pressed for time. You probably at the gym, getting ready to train, right? Sarah that I have always managed three times a day to chill, at least. That's that's bad ass, man. And I was born cuz you had a good fight, November someone in your corner, had covid, right? So I got you live. Still love them. So I want to get into it because I always love to get into the mind of a fighter, because I think it's so important for people to understand the mindset that you live with, because I think everyone should live with that fighter mentality. Can you take us through like a day, one of your days? What it's like. I'm so I wake up at 6 a.m. I'll go run and then I'll do strengthen can discontinue at 11 a.m. And then I'll hit my MMA practice at 7 p.m. What's in the day? Are you having still carry some other sources of income? Or are you making enough with the fighting right now that this is all you do? This is all I do. I got nicer Porsches with that. This tells me cover my rent. And so I can just focus on training is just a couple bills. I have to pay myself just like my phone. Not that much in the internet and a my food. So only like they like 500 a month. So everything is working out like it's supposed to and like I said, I'm honored to be here today. And did you grow up with the presence of face, or was that something you found maybe afterwards? Believe in God, man, but I'm not saying like going to church and everything like that superficial guy, but I feel like everyone searches you guys. Like, where the temple of God, you know, everyone should develop their own relationship to God, you know, that's just how I feel. My relationship is going to be different than someone else's. You know, I'm not that stupid guys can go to church but develop develop my feelings. How much what you need to know and he'll provide, you know, as long as you put the work in and I'm not saying it's just going to happen. Work must be put in but man with that tight budget. What kind of diet do you maintain? It just depends. I eat good every day. I'm not going to lie. But if I'm kind of ready to just check in vegetables 2 gallons a day right now and fish just no pasta, no bread stuff. I'm going to run his clothes when out my bad. I'm just really locked in now for the light weight class is what round 150 or 55? Yeah. Yeah. Okay. Okay. I've been weighed 150 by school cuz I love bread. Then I love by Terrance and under a way too much stress lately. I went to the doctor this morning. Hey, thanks for working with us, on the schedule, to, by the way. I had to get this appointment in. Watch my health stuff, then they told me, I'm low for testosterone. For my age, I'm like shit. No wonder, I'm always depressed. So let's talk about the UFC debut because it was it was Stellar against up for Valla. A diamond s man that record. You know, some ground-and-pound it's done. What was your mindset for this? Huge opportunity going into the USC to you know, to be for Oxycontin octagon. It was a no-brainer for me. This is what I've been training for sale soon. As I got the call. I didn't care who it was. I would have signed the dotted line, you know, I was already training just for 7 days before I know him for Rose's games that come and I was ready to die for my dream and I know God was there seven days of creation the seven day at 7:00? This dude out. Goodnight better. Dave. You couldn't have been a better. Absolutely couple of Rapid questions real quick and then leave you with the final thoughts and words of inspiration. For, for those listening, sell fire at my key. I got one. I got one. So, we release episodes on Monday. This episode, correct me if I'm wrong, will be released Monday atFor Super Bowl. Yes. Terrance who's winning the Super Bowl and take the three points as well. Alright, Jason Who You by Terrence Mann, you got a hell of a cool story. That I hope gets written out or ends up on TV or the big screen. If you could pick someone to play you in a biopic, who would it be? What actor. Shoot. Anything because I feel like, if you got to look at look like meet us famous, and he can mail any, but he could do anything. He could do any performance. Jamie Foxx is black, an incredible. I want him to play me one more question, 42 Terrence, if you could have dinner with anybody in the entire world living or not, or who ever existed, who would it be? I would like to talk to Drake. I feel like or Daisy. I feel like those guys got great business mindset like to learn what it takes to stay making money, while you sitting down and try to be a great entrepreneur and how to make your money, make money. Alright. Well, we know your precious time. You got to get in there and get training man. And you know, hey, we're behind for the next fight. That we know when it is February 26th. It's going to be a tornado versus Islam. Not long before that. So we definitely appreciate you squeezing Us in that crazy schedule and sharing these encouraging words for people. But if you can leave anything for anyone struggling with their mental health substance, abuse addiction issues, you know, especially for men, that now, we're really trying to break that stigma around at men. It is okay to open up. It's okay to be moanable what, you know,Would you share? I want to say, I am. Don't be afraid to reach out, man, cuz you never know who's going out going through the same thing to you. You your testimony is your story. Could be that one story that gives gives my ex booster posed to be better. So, don't be afraid to share your story. It could be something someone needs to do, just to live on and keep living, you know, you never know. Like one person can make a difference like they say. So be that person T-Rex Terence McKenna, man. This is been a real pleasure brother and we appreciate your time and and again a continued success and let's get another W. All right, we're rooting for you bro, guys. Love brother, man. And I feed you guys for having all of me having me on your show McKinney. Thank you again for your time for coming on knocking, doors down, man. It's a real pleasure and we are looking forward to his next fight coming up shortly. That's right. Stoked for it. It's going to be awesome man. Money's on you Terrance money is on you, that is right. Well, we thank you guys for listening to the knocking, doors down podcast again, bringing voices to the addiction recovery and mental health illness community, and they spread the word. We're here to try to help people. So why share it with a friend or hit? Subscribe wherever you are listening to the podcast. And it's just that simple course, on Apple podcast, Google podcast Spotify. We are everywhere, you get Podcast. And if you're like my key and you want to see it, I'm a visual guy. Working. They go go to YouTube. That's right. Check it out on YouTube. The link is in our podcast description for the full video interview. Anything else on kamaiki Doors Down? We all need some inspiration and that's exactly what Knockin' Doors Down is all about. But Mikey lot of people don't know. The podcast was inspired by a book. That's right book by Carlos Mera. Check it out. Carlos Viera anally struggled with a cocaine addiction, but he writes about how he overcame that addiction, and what he did in the aftermath, including the Carlos Fierro Foundation, his, his foundation has three great programs, The Race To Be Drug Free race for autism, and raced in the stigma, and 100% of the proceeds of his autobiography. Knockin doorz down, goes to the Carlos Fierro Foundation to fund those programs helping people in the community. So if you want to purchase your copy of Carlos's book, benefiting the Carlos fear of foundation, go to Carlos Mera, foundation.org or click that link in the podcast description. This podcast contains the fuse in the pinion and their guests to the show. 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As the world continues to fill with impersonal, factory-machined goods, so increases the desire to see and feel more human creativity in the items we use in our lives. Etsy, a community marketplace for creative goods, was designed to help people sell their unique and homemade items online. The company continues to innovate and transform the small-business world, leading by focusing on innovation in their technology. Today's guest, Chu-Cheng Hsieh, is the first Chief Data Officer at Etsy. On this episode, Chu-Cheng Hsieh joins Cindi to discuss his unique perspective on helping build a data-driven organization from the ground up and how he's fostered a culture of experimentation that has led to rapid growth and transformation within the company. He also dives into trends such as machine learning and data observability, and explains some of the most helpful mental frameworks he's learned in his life and career.Key TakeawaysCheck human intuition with data: Your gut feeling might be right, but in today's world it's critical to remember the importance of being able to back up your thinking and your decisions with facts. Hsieh emphasizes the importance of trusting the data that's in front of you, even if the answer goes against decades of personal experience.Create a ‘regret minimization framework': Popularized by Jeff Bezos, the ‘regret minimization framework' is a way to help you more clearly define what career decisions you should make. It encourages the thinker to imagine being at the end of their life, looking back at what they've done, and asking themselves, “Is that really the life story I want to have?”Invest in insights: Hsieh shares that “You don't want to judge your success based on just [the] outcome. You should judge your success based on the decision quality.” By investing in thoughtful decision-making, you can increase the probability of success, even when you don't have all the facts or data.Key Quotes“I only have one life, so I can either become a professor or I can do something different. So I use[d] something called regret minimization framework. I think Jeff Bezos mentioned this. I closed my eyes, imagined [myself] 30 years from today and I'm telling my life story to my grandson. And I think [what] kind of story will make me feel more excited and happy?”"One thing which I learned, this surprise[d] me, is that human instinct is often wrong. You [think] that if I change this color from blue to red that people will like that. [But] that's your opinion. You are just one person. Even [with] 20 years of experience in this field, you could be wrong. I can show you tons of examples that the data will show totally different[ly] [from] what you thought it to be.”“Your intuition, [is to] think one millisecond doesn't matter. It actually [does] matter because sometimes this one millisecond, especially for people who are using their mobile device, the user experience can be totally different, especially when the network is spotty.”“You don't want to judge your success based on just [the] outcome. You should judge your success based on the decision quality. And if you have good insight, this doesn't mean that you always [are] right. The only thing you can do is to invest [in that] insight, so that when you make a decision, you know the reasons and insight behind the decision. This gives you a higher probability of making the right decision. So this concept of ‘Thinking in Bets' is what I [use] to help me to make a better quality decision.”MentionsBook: Thinking in Bets Jeff Bezos' regret minimization frameworkAbout Chu-ChengChu-Cheng Hsieh manages the data org across Etsy globally, including engineering, data science, and machine learning. Partnering with Etsy's product and business executives, he develops the data strategy, represents data science, and drives high-impact decisions. He is specialised in search engine, recommendation systems, and machine learning technology. His primary responsibility is to deliver strategic and creative data science approaches that help achieve Etsy's mission and goals.He received a PhD in computer science from UCLA, and has two master degrees. In his leisure time, he enjoys innovating and collaborating with academic researchers. He has brought cutting-edge research into products. He publishes papers in top-tier conferences, such as WWW, SIGIR, KDD, and enjoys giving talks/keynotes at a variety of academic or industrial conferences on information retrieval, recommendation systems, and data mining.--The Data Chief is presented by our friends at ThoughtSpot. Searching through your company's data for insights doesn't have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.
こんにちは！今回は、KDD'20の論文をベースにTwitterのレコメンデーションに使われているSimClustersについて話しました. ======================== ◎関連リンク ・元論文：https://www.kdd.org/kdd2020/accepted-papers/view/simclusters-community-based-representations-for-heterogeneous-recommendatio ・おみくじ堂：https://www.omikuji-do.com/ ======================== ◎質問や感想、扱って欲しいトピックなど、お気軽にコメントお待ちしております. ・Googleフォーム http://urx.space/VNOD ・Twitterのハッシュタグ https://twitter.com/hashtag/wipfm ・Twitterアカウント https://twitter.com/wipfm0509 ======================== ◎"Work In Progress"とは 機械学習エンジニアの@takapyとデータアナリストの@yaginuuunが、テクノロジーやキャリア、ビジネスなどの話題についてカジュアルに話すPodcast番組です. 公式サイト: https://bit.ly/2UbGXIX @takapy: https://twitter.com/takapy0210 @yaginuuun: https://twitter.com/yaginuuunSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
こんにちは！今回は、KDD'21で発表された「A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps」という新規ユーザのコールドスタート問題に対する論文について話しました. ======================== ◎関連リンク ・話した論文 https://arxiv.org/abs/2106.03819 ・ポケモンユナイトの大会に出場してきた https://logstare.j-cg.com/competition/kIha0nYBXW ・ピクミンのゲームがniantechから出たのでやってみた話 https://www.youtube.com/watch?v=AHK1DfchAuA&feature=youtu.be ======================== ◎質問や感想、扱って欲しいトピックなど、お気軽にコメントお待ちしております. ・Googleフォーム http://urx.space/VNOD ・Twitterのハッシュタグ https://twitter.com/hashtag/wipfm ・Twitterアカウント https://twitter.com/wipfm0509 ======================== ◎"Work In Progress"とは 機械学習エンジニアの@takapyとデータアナリストの@yaginuuunが、テクノロジーやキャリア、ビジネスなどの話題についてカジュアルに話すPodcast番組です. 公式サイト: https://bit.ly/2UbGXIX @takapy: https://twitter.com/takapy0210 @yaginuuun: https://twitter.com/yaginuuunSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Celebrating the Month of Male (It's raining Men), this week MJ sits with KDD to discuss life, love, and the pursuit of happiness, know what I mean?
durée : 00:07:26 - Le Wake-up mix - Le Wake-Up Mix, c'est huit minutes de gros son pour bien vous réveiller.
数据科学界有类特别的奖项，名为“时间检验奖”（Test of Time），专门评选发表于十年之前、有着深远影响的学术论文。今年的获奖者目前供职于字节跳动和谷歌。学术界的荣誉正越来越多的被科技巨头摘得，这并不是偶然现象。从谷歌、苹果、华为到字节，都在不遗余力地投资人才。社会的发展，依赖于基础科学的积累和技术的跨越式发展。一个经济的发达与否，在于先进技术的深度。这个时代，离不开技术的发展，比如云计算、人工智能、机器人、数字化等等。拥抱科技创新，就是在拥抱未来。 一、任何领先，都源于人才的领先看看诞生了晶体管、太阳能电池、数字交换机、通信卫星、电子数字计算机、C语言、UNIX操作系统等许多重大发明的贝尔实验室，就是美国电话电报公司创建的。这个实验室诞生过13个诺贝尔奖得主，还帮助了朗讯、诺基亚。谷歌有一个神秘的部门：Google X 实验室，智能眼镜、无人机、无人驾驶等等都是从这里出来。实验室里面有谷歌从全球高校和科研院所挖过来各种顶级专家。今年8月，谷歌和字节跳动的研究人员，分别摘得KDD 2021（数据科学界最重要的会议——ACM SIGKDD：国际计算机学会举办的国际数据挖掘与知识发现会议）从十年前发表的论文中评选出的“时间检验应用科学奖”和“时间检验研究奖”。字节跳动的获奖者当时正在普林斯顿大学攻读博士，其论文恰恰是关于推荐系统的研究。他加入字节看似是一种“天作之合”，也正是学术人才涌向科技公司的这个时代的缩影。在“时间检验奖”之前，另一项国际顶级学术会议ACL 2021颁发“最佳论文”奖项，由字节跳动人工智能实验室（AI Lab）获得。这是中国团队在ACL59年历史上第二次斩获最高荣誉。北京理工大学张华平副教授对此评价说，“产业从业者每天在面对真实的问题，且企业可以提供强大的算力支撑，企业端的数据积累也更加丰富，非一般实验室可以提供。”ACL大会是“自然语言处理与计算语言学领域”最高级别的学术会议。自然语言处理，则是人工智能“皇冠上的明珠”。当这些生僻的学术圈大奖也逐渐进入国人的视野，也正意味着中国科学家和技术，逐渐跻身世界顶级研究圈。而这背后，重视人才，保持对于创新的尊重和珍惜，这几乎是所有一流企业能够保持头部地位、持续创新的核心原因。在2000年，亚马逊就使用协同过滤的算法，向用户推荐产品，它至今在使用这种模式。2000年，奈飞上线“电影匹配”功能，向用户提供人性化的自动化电影推荐系统，它至今在使用。字节跳动的文字视频算法匹配等形式，背后支撑的技术如前文提及的推荐算法、机器翻译等人工智能技术，都依赖出色人才的智慧，至今在使用。 二、重视人才，是优秀组织的共性谷歌重视一流人才，“只招聪明人”，寻找创意精英。奈飞强调只招“成年人”，雇佣创新者。乔布斯说，他的创业成功要归功于他找到了一批最优秀的人才。字节的前100名员工全部是张一鸣亲自面试的。硅谷以谷歌、脸书等为首的一线互联网公司，无不吸引最高级的、创造型的人才，并激发他们的创意潜能。硅谷的成功企业都有相似的模式，那就是拥有创造性思维的人才。那些优秀卓越企业的CEO们认为招聘新人是一项重要工作，并自封为“首席招聘官”。不付出巨大努力，怎能招揽到出色选手？在这件事上，卓越的领导者都坚持不懈。在国内，如小米对人才的重视，在创业之初就做到现代版的“三顾茅庐”。字节跳动为招揽人才，对优秀的人，两三年保持跟踪。只要遇到不错的人，面试的时间地点都不是问题。面对候选人，有时候从下午聊到凌晨，CEO最多的夜归也是去见候选人。优秀的组织，都非常重视出色人才。黑石集团董事长苏世民说：“雇来A级选手并非万事大吉，然而他却是提升公司价值的顶级因素。”一群气味相投的优质人才，能够创造出无穷的可能性。奈飞的创始人里德·哈斯廷斯曾说：“我每天都会盼着去工作，和这些人一起解决问题。”而他的热情也感染了奈飞曾经的首席人才官帕蒂·麦考德，也是《奈飞文化手册》的作者。《奈飞文化手册》这本书中的第一项文化准则，就是“只招成年人”。这里所谓的成年人不仅是年龄的成熟，更是职业素养的成熟，自我的成熟。像这样的成年人都渴望与优秀的人合作。加入到一个让自己能信任和钦佩的团队，大家一起专注地完成一项伟大的事情。同样，在《重新定义组织：谷歌是如何运营的》一书中也提及：谷歌的战略是没有战略，他们相信人的力量，依赖人才获得的技术洞见去开展新业务，不断地进行创造和突破，用创造力驱动公司的增长。 三、一流人才，为何而来？字节跳动管理层早期是如何挑选人才的：“这周面了十几个人终于确定一个实习生。最近一个多月可能面试了50多人，总共只有2个非常有意向的人选，其中失败一个，一个还在谈。每当想放低要求的时候，我就提醒自己一定不能往低走而要往高走，我们要做的出彩，而不是仅仅是完成事情。尤其在早期，核心几个人的能力素质态度是最关键的。”人才选择字节跳动，一般会看三个要素：第一是回报，包含短期回报和长期回报；第二是成长，在这个公司能得到成长；第三是在公司的精神生活很愉快，干起事来觉得有趣。三个层次也正呼应了马斯洛生存层级的各个需求。回报，是人才战略的低线；成长与自我价值的实现，才是人才战略的高线。当回报和成长跟公司未来发展联系到一起，就可以吸引和激励优秀的人才长期稳定地和公司在一起。这意味着公司的愿景、发展、需求和文化跟人才的目标、强项以及价值观一致。据公开信息，字节跳动至今在行业里的薪水仍具有竞争力。短期回报是薪酬、年终奖（字节跳动不讲大锅饭，给非常突出的人超额回报）；长期回报是期权，有可能获得超额的回报，有可能财务自由。回报是给人才以务实的好处，在字节跳动的人才观念里，成本不是问题，人才的产出才是问题。只要保持高的人才ROI（投资回报率），公司的竞争力就能保证。因此，与之相伴的是，字节跳动在估值和全球月活用户上也快速发展。在个人成长上，给到人才思考的权力，让每个人有他需要扮演的角色，掌握所有的上下文信息，做出业务决策。在必要的时候，做出少量的干预。乔布斯曾说，更喜欢和聪明人一起工作。“聪明人更关注自己的成长，时刻保持开放的心态，而不是捍卫面子，不是想方设法证明‘我没错'。” 四、一流人才，需要一流的土壤正如德鲁克嫡传弟子、帮500强和新兴创业公司获得人才竞争优势的杰夫·斯玛所说：“出色人才不喜欢过度被人控制。这违背他们的本性——与生俱来的让其超凡出众的内在特质。你需要创造一个出色人才喜欢的自由环境使其尽展才华。”传统的公司管理都是自上而下，而新型组织实现自下而上与顶层设计的良性互动。这样才可能实现持续创新。传统企业注重的是战略规划，所有项目的启动都得围绕既定的战略规划，然后组织根据计划来分配资源、划分KPI。而新型组织，则是从KPI进化到OKR的管理模式，用共同目标（愿景）来凝聚人，再结合个体自行设立的目标，来激发人才的潜力和创造力。奈飞第一任CEO马克·伦道夫说：“上班不用打卡，没有强制的工作时间，想来的时候就来，想走的时候就走，评判的唯一标准就是结果。精心挑选才华横溢、富有创造力的人，你唯一要做的就是明确你想要达到的目标，以及这个目标背后的重要意义。如果你雇用了合适的人选，找到了聪明、能干、值得信赖的人，他们自己就会弄清楚自己需要做什么，也会勇往直前。”坦诚与透明，在高速变化的信息时代尤其重要。《奈飞文化手册》的第二条准则，就是“绝对坦诚，才能获得真正高效的反馈”。通过谷歌、微软、字节等公司实践的OKR，“目标+关键结果”的形态，在组织中网格化地呈现。相较于KPI的层层下设、树状分布，OKR可以更好地实现坦诚与透明，最大化激发个人的主观能动性。“你永远叫不醒一个装睡的人”，同样，没有人能够逼迫一个人成长，除非他自己意识到需要成长。字节跳动成立于2012年，从2013年开始使用OKR进行组织管理，2016年与飞书系统打通。CEO每两月更新公司的OKR。自此，字节每双月进行OKR迭代，期间随时进行进度调整，并在第二个月月底对完成情况进行评分。在近10年的OKR实践后，字节探索出了“人才+信息”的双螺旋组织模型：“人才管理”和“信息流动”的双螺旋结构，交叉上升、相辅相成、推动组织进步。10余万字节人，用OKR形成了坦诚、透明的目标管理，激发每个个体的成长潜力，持续地吸纳和激励优秀人才，驱动每个个体的自主性、提升全局观；用飞书的信息打通和知识共创共享，通过协作平台和IT系统来提升效率、促进合作，拉通共识；当公司规模变大后，管理者很难规划所有团队的发展，于是字节跳动又打造了火山引擎，让技术团队面对更大的市场、在更多的场景去服务外部的客户，对技术人才进行“市场化”管理。正如奈飞所说：“从一开始，我就决定把每一个员工当作负责任的成年人来对待。大家希望像成年人一样被对待。他们需要一个相信的使命，一个待解决的问题，以及解决问题的自由空间。”一流的人才，必须匹配一流的土壤。而一流的土壤，不是说出来的，而是长年累月做出来的。 五、未来已来：人才与组织的共生从谷歌、脸书到字节等科技企业的探索可见，在商业和技术环境日新月异的今天，既需要一流人才的力量，更需要组织的力量。没有人的创造力，组织发展将停滞；没有组织的能力，人的创造力将难以发挥。而这背后：人才就是资源，拥有了人才就拥有了无限发展的各种可能。借用《三体》里的比喻，如果说创造性的人才是未来的星辰大海，那么，好的人才战略和企业文化则是驶向星辰大海的“蓝色空间号”飞船。
数据科学界有类特别的奖项，名为“时间检验奖”（Test of Time），专门评选发表于十年之前、有着深远影响的学术论文。今年的获奖者目前供职于字节跳动和谷歌。学术界的荣誉正越来越多的被科技巨头摘得，这并不是偶然现象。从谷歌、苹果、华为到字节，都在不遗余力地投资人才。社会的发展，依赖于基础科学的积累和技术的跨越式发展。一个经济的发达与否，在于先进技术的深度。这个时代，离不开技术的发展，比如云计算、人工智能、机器人、数字化等等。拥抱科技创新，就是在拥抱未来。 一、任何领先，都源于人才的领先看看诞生了晶体管、太阳能电池、数字交换机、通信卫星、电子数字计算机、C语言、UNIX操作系统等许多重大发明的贝尔实验室，就是美国电话电报公司创建的。这个实验室诞生过13个诺贝尔奖得主，还帮助了朗讯、诺基亚。谷歌有一个神秘的部门：Google X 实验室，智能眼镜、无人机、无人驾驶等等都是从这里出来。实验室里面有谷歌从全球高校和科研院所挖过来各种顶级专家。今年8月，谷歌和字节跳动的研究人员，分别摘得KDD 2021（数据科学界最重要的会议——ACM SIGKDD：国际计算机学会举办的国际数据挖掘与知识发现会议）从十年前发表的论文中评选出的“时间检验应用科学奖”和“时间检验研究奖”。字节跳动的获奖者当时正在普林斯顿大学攻读博士，其论文恰恰是关于推荐系统的研究。他加入字节看似是一种“天作之合”，也正是学术人才涌向科技公司的这个时代的缩影。在“时间检验奖”之前，另一项国际顶级学术会议ACL 2021颁发“最佳论文”奖项，由字节跳动人工智能实验室（AI Lab）获得。这是中国团队在ACL59年历史上第二次斩获最高荣誉。北京理工大学张华平副教授对此评价说，“产业从业者每天在面对真实的问题，且企业可以提供强大的算力支撑，企业端的数据积累也更加丰富，非一般实验室可以提供。”ACL大会是“自然语言处理与计算语言学领域”最高级别的学术会议。自然语言处理，则是人工智能“皇冠上的明珠”。当这些生僻的学术圈大奖也逐渐进入国人的视野，也正意味着中国科学家和技术，逐渐跻身世界顶级研究圈。而这背后，重视人才，保持对于创新的尊重和珍惜，这几乎是所有一流企业能够保持头部地位、持续创新的核心原因。在2000年，亚马逊就使用协同过滤的算法，向用户推荐产品，它至今在使用这种模式。2000年，奈飞上线“电影匹配”功能，向用户提供人性化的自动化电影推荐系统，它至今在使用。字节跳动的文字视频算法匹配等形式，背后支撑的技术如前文提及的推荐算法、机器翻译等人工智能技术，都依赖出色人才的智慧，至今在使用。 二、重视人才，是优秀组织的共性谷歌重视一流人才，“只招聪明人”，寻找创意精英。奈飞强调只招“成年人”，雇佣创新者。乔布斯说，他的创业成功要归功于他找到了一批最优秀的人才。字节的前100名员工全部是张一鸣亲自面试的。硅谷以谷歌、脸书等为首的一线互联网公司，无不吸引最高级的、创造型的人才，并激发他们的创意潜能。硅谷的成功企业都有相似的模式，那就是拥有创造性思维的人才。那些优秀卓越企业的CEO们认为招聘新人是一项重要工作，并自封为“首席招聘官”。不付出巨大努力，怎能招揽到出色选手？在这件事上，卓越的领导者都坚持不懈。在国内，如小米对人才的重视，在创业之初就做到现代版的“三顾茅庐”。字节跳动为招揽人才，对优秀的人，两三年保持跟踪。只要遇到不错的人，面试的时间地点都不是问题。面对候选人，有时候从下午聊到凌晨，CEO最多的夜归也是去见候选人。优秀的组织，都非常重视出色人才。黑石集团董事长苏世民说：“雇来A级选手并非万事大吉，然而他却是提升公司价值的顶级因素。”一群气味相投的优质人才，能够创造出无穷的可能性。奈飞的创始人里德·哈斯廷斯曾说：“我每天都会盼着去工作，和这些人一起解决问题。”而他的热情也感染了奈飞曾经的首席人才官帕蒂·麦考德，也是《奈飞文化手册》的作者。《奈飞文化手册》这本书中的第一项文化准则，就是“只招成年人”。这里所谓的成年人不仅是年龄的成熟，更是职业素养的成熟，自我的成熟。像这样的成年人都渴望与优秀的人合作。加入到一个让自己能信任和钦佩的团队，大家一起专注地完成一项伟大的事情。同样，在《重新定义组织：谷歌是如何运营的》一书中也提及：谷歌的战略是没有战略，他们相信人的力量，依赖人才获得的技术洞见去开展新业务，不断地进行创造和突破，用创造力驱动公司的增长。 三、一流人才，为何而来？字节跳动管理层早期是如何挑选人才的：“这周面了十几个人终于确定一个实习生。最近一个多月可能面试了50多人，总共只有2个非常有意向的人选，其中失败一个，一个还在谈。每当想放低要求的时候，我就提醒自己一定不能往低走而要往高走，我们要做的出彩，而不是仅仅是完成事情。尤其在早期，核心几个人的能力素质态度是最关键的。”人才选择字节跳动，一般会看三个要素：第一是回报，包含短期回报和长期回报；第二是成长，在这个公司能得到成长；第三是在公司的精神生活很愉快，干起事来觉得有趣。三个层次也正呼应了马斯洛生存层级的各个需求。回报，是人才战略的低线；成长与自我价值的实现，才是人才战略的高线。当回报和成长跟公司未来发展联系到一起，就可以吸引和激励优秀的人才长期稳定地和公司在一起。这意味着公司的愿景、发展、需求和文化跟人才的目标、强项以及价值观一致。据公开信息，字节跳动至今在行业里的薪水仍具有竞争力。短期回报是薪酬、年终奖（字节跳动不讲大锅饭，给非常突出的人超额回报）；长期回报是期权，有可能获得超额的回报，有可能财务自由。回报是给人才以务实的好处，在字节跳动的人才观念里，成本不是问题，人才的产出才是问题。只要保持高的人才ROI（投资回报率），公司的竞争力就能保证。因此，与之相伴的是，字节跳动在估值和全球月活用户上也快速发展。在个人成长上，给到人才思考的权力，让每个人有他需要扮演的角色，掌握所有的上下文信息，做出业务决策。在必要的时候，做出少量的干预。乔布斯曾说，更喜欢和聪明人一起工作。“聪明人更关注自己的成长，时刻保持开放的心态，而不是捍卫面子，不是想方设法证明‘我没错'。” 四、一流人才，需要一流的土壤正如德鲁克嫡传弟子、帮500强和新兴创业公司获得人才竞争优势的杰夫·斯玛所说：“出色人才不喜欢过度被人控制。这违背他们的本性——与生俱来的让其超凡出众的内在特质。你需要创造一个出色人才喜欢的自由环境使其尽展才华。”传统的公司管理都是自上而下，而新型组织实现自下而上与顶层设计的良性互动。这样才可能实现持续创新。传统企业注重的是战略规划，所有项目的启动都得围绕既定的战略规划，然后组织根据计划来分配资源、划分KPI。而新型组织，则是从KPI进化到OKR的管理模式，用共同目标（愿景）来凝聚人，再结合个体自行设立的目标，来激发人才的潜力和创造力。奈飞第一任CEO马克·伦道夫说：“上班不用打卡，没有强制的工作时间，想来的时候就来，想走的时候就走，评判的唯一标准就是结果。精心挑选才华横溢、富有创造力的人，你唯一要做的就是明确你想要达到的目标，以及这个目标背后的重要意义。如果你雇用了合适的人选，找到了聪明、能干、值得信赖的人，他们自己就会弄清楚自己需要做什么，也会勇往直前。”坦诚与透明，在高速变化的信息时代尤其重要。《奈飞文化手册》的第二条准则，就是“绝对坦诚，才能获得真正高效的反馈”。通过谷歌、微软、字节等公司实践的OKR，“目标+关键结果”的形态，在组织中网格化地呈现。相较于KPI的层层下设、树状分布，OKR可以更好地实现坦诚与透明，最大化激发个人的主观能动性。“你永远叫不醒一个装睡的人”，同样，没有人能够逼迫一个人成长，除非他自己意识到需要成长。字节跳动成立于2012年，从2013年开始使用OKR进行组织管理，2016年与飞书系统打通。CEO每两月更新公司的OKR。自此，字节每双月进行OKR迭代，期间随时进行进度调整，并在第二个月月底对完成情况进行评分。在近10年的OKR实践后，字节探索出了“人才+信息”的双螺旋组织模型：“人才管理”和“信息流动”的双螺旋结构，交叉上升、相辅相成、推动组织进步。10余万字节人，用OKR形成了坦诚、透明的目标管理，激发每个个体的成长潜力，持续地吸纳和激励优秀人才，驱动每个个体的自主性、提升全局观；用飞书的信息打通和知识共创共享，通过协作平台和IT系统来提升效率、促进合作，拉通共识；当公司规模变大后，管理者很难规划所有团队的发展，于是字节跳动又打造了火山引擎，让技术团队面对更大的市场、在更多的场景去服务外部的客户，对技术人才进行“市场化”管理。正如奈飞所说：“从一开始，我就决定把每一个员工当作负责任的成年人来对待。大家希望像成年人一样被对待。他们需要一个相信的使命，一个待解决的问题，以及解决问题的自由空间。”一流的人才，必须匹配一流的土壤。而一流的土壤，不是说出来的，而是长年累月做出来的。 五、未来已来：人才与组织的共生从谷歌、脸书到字节等科技企业的探索可见，在商业和技术环境日新月异的今天，既需要一流人才的力量，更需要组织的力量。没有人的创造力，组织发展将停滞；没有组织的能力，人的创造力将难以发挥。而这背后：人才就是资源，拥有了人才就拥有了无限发展的各种可能。借用《三体》里的比喻，如果说创造性的人才是未来的星辰大海，那么，好的人才战略和企业文化则是驶向星辰大海的“蓝色空间号”飞船。
Charlie Sheen discusses the advancements in technology for HIV treatment and research. Charlie details how the new treatment is actually equivalent to treating diabetes, and he's slowly winning the fight. He had to experiment with a couple combinations of medicine to eventually find out what is right for his body and symptoms. He describes the painful process of going through a spinal tap treatment, to get a clear diagnosis of what he was battling. There was a moment where Charlie felt like “Why Me?” “Can I Go on?”, but then he took a step back and realized it's not something like an in-operable brain tumor, it could be treated. His mom was there for him during the process, which made it easier to get through. As a kid growing up, Charlie talks about how much his mom was forgiving, loving and always understanding of what Charlie was going through. This bond has lasted throughout his life, and insists that it still stronger than ever. One of the toughest things Charlie had to deal with during his HIV diagnosis, was the legal requirement to contact your friends, ex's & family members to let them know about your diagnosis, to make sure that they haven't been infected themselves. It was a tough thing to do, and humbled him throughout the process. Post-sobriety and post-diagnosis, Charlie talks about interacting with his family with a fresh mindset and new attitude. It was refreshing for him to not have any hinderances or things that were distracting him from being the best father he could be. Some of the memories of the lowest moments in Charlie's drug using days, are the things that keeps him sober these days. He keeps the memories close, as a constant reminder to himself to stay sane, contribute, and be available for the people he cares about the most. Currently, Charlie is loving the family life. He recently surprised his 16-year-old daughter with a new car. Hear about his daily battles with his kids and how providing the best environment for them, regardless of his marital issues, is his #1 priority. It's a tough balance to discipline the kids while co-parenting, but Charlie has some tips to share. Also, hear what album & movie Charlie chooses to be stuck on an island with. This is Charlie Sheen in his own words, on Knockin' Doorz Down. For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For 51FIFTY use the discount code KDD20 for 20% off! https://51fiftyltm.com/ https://www.facebook.com/51FIFTYLTM https://www.instagram.com/51fiftyltm/ https://twitter.com/51fiftyltm For Manscaped use the code KDD for 20% of at https://www.manscaped.com/ For PodCorn go to https://podcorn.com/podcasters/ and tell them you hear about them on the Knockin' Doorz Down podcast. For Liquid Death https://liquiddeath.com/ use the code KNOCKIN and get a free Cozy 2 pack on use when you purchase a 12 pack. For more on the Knockin' Doorz Down podcast and to follow us on social media https://www.kddmediacompany.com/podcast https://www.instagram.com/knockindoorzdown/ https://www.facebook.com/knockingdoorsdown/ https://twitter.com/kddmediacompany https://www.youtube.com/channel/UCUSJ5ooBFqso8lfFiiIM-5g/ For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma, and Race For Autism programs visit: https://www.carlosvieirafoundation.org/ https://www.facebook.com/CVFoundation/ https://www.instagram.com/carlosvieirafoundation/ For more on Charlie Sheen https://www.facebook.com/CharlieSheen https://www.instagram.com/charliesheen/ https://twitter.com/charliesheen
Gary was born in Goose Creek, Texas to a middle-class military family. He became active in football, where he got a college scholarship to Oklahoma State University. He became interested in acting and eventually starring in small roles, and exploring his love of music on recordings for musicians such as Leon Russell. His first major role in his acting career was Kris Kristofferson’s manager in the blockbuster “A Star Is Born”. But his big breakthrough was playing the iconic Buddy Holly, in “The Buddy Holly Story”, where he earned an Academy Award nomination for Best Actor. Since then, Gary has been acting for 51 years, starred in over 170 films, and has been playing music since 1962. Along with his newfound fame, came excessive partying and drug use. Gary abused cocaine heavily, which led to overdoses and some of the lowest points of his life. On December 4, 1988, Busey was severely injured in a motorcycle accident in which he was not wearing a helmet. His skull was fractured, and he suffered permanent brain damage. His road to recovery was tough. Eventually, Gary needed help. In 1996, Busey publicly announced that he was a Christian. Busey cites the motorcycle accident, as well as a 1995 cocaine overdose, as events that strengthened his religious faith. During the filming of the second season of Celebrity Rehab with Dr. Drew in 2008, Busey was referred to a psychiatrist on the show, Charles Sophy. Sophy suspected that Busey's brain injury has had a greater effect on him than realized. He described it as essentially weakening his mental "filters" and causing him to speak and act impulsively. In writing his book “Buseyisms”, Gary was recorded using a tape recorder, just saying what was on his mind, and what phrases worked for him in positive ways. For example, his ‘Buseyism’ for the word ‘Sober’ is “Son of A Bitch Everything’s Real” He says the best way to stay sober is to get out of your own way. Gary also shares some stories from some of his most famous roles and films, including Point Break, Rookie of The Year, Lethal Weapon, Under Seige & more. This is Gary Busey in his own words, on Knockin’ Doorz Down. For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For 51FIFTY use the discount code KDD20 for 20% off! https://51fiftyltm.com/ https://www.facebook.com/51FIFTYLTM https://www.instagram.com/51fiftyltm/ https://twitter.com/51fiftyltm For Manscaped use the code KDD for 20% of at https://www.manscaped.com/ For more on the Knockin' Doorz Down podcast and to follow us on social media https://www.kddmediacompany.com/podcast https://www.instagram.com/knockindoorzdown/ https://www.facebook.com/knockingdoorsdown/ https://twitter.com/kddmediacompany https://www.youtube.com/channel/UCUSJ5ooBFqso8lfFiiIM-5g/ For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma and Race For Autism programs visit: https://www.carlosvieirafoundation.org/ https://www.facebook.com/CVFoundation/ https://www.instagram.com/carlosvieirafoundation/ For more on Gary Busey https://www.garybusey.com/ https://www.facebook.com/garybusey https://www.instagram.com/thegarybusey/ https://twitter.com/THEGaryBusey
In his youth, Guy Felicella had a typical upbringing with a middle-class family. He wasn’t diagnosed in school at the time but was diagnosed later in life with ADHD and a mild comprehension disorder. To compound this, he also suffered verbal abuse from his family and classmates. This is when he started using drugs at the age of 12 years old, and says now that if he didn’t at the time, he probably would have ended his life. Guy’s problematic addiction started 20 years ago, where he found himself involved with gangs, living on the streets of Vancouver, sleeping on cardboard, and moving from vacant houses and doorways to stay warm. He would find himself in prison serving 35 days and coming out still in the detox process. He says in prison they would give you valium for alcoholism, but nothing but Gatorade and Tylenol for heroin addiction. He hopes this can be addressed because, for him & other heroin addicts, it creates more addicts without the proper treatment. After in & out of prison and relapsing multiple times, he had the realization that the same drugs that he thought saved his life, were now the drugs that were ending his life. He had a tough time coming to terms with that fact but eventually got to the point of wanting to start the recovery process. With his own addiction, Guy relapsed multiple times. It was not a quick and easy path for his recovery. He realized instead of beating himself up about relapsing, he would encourage himself to get back up & try it again, until something worked. This led to his interest & exploration of Harm Reduction. Guy says that Harm Reduction is an approach where you meet with the addict in controlled environments, and allow access to safe alternatives to the illicit drugs they are currently using. He says this was instrumental in his own recovery process, keeping him alive long enough to find his own path to recovery. Besides this, Guy needed to focus on the underlying trauma that was at the root of his drug use. He says we focus too much on judging and treating drug addiction instead of investigating and healing our past traumas. EMDR therapy was really instrumental in his recovery. It is a rapid eye movement therapy, to repair the coping skills in your mind to deal with past traumas. These traumas are the roots of drug use, so if people can focus there first, the healing process should be more effective & better all around. This was the key to his lasting recovery and wants to share what he’s learned with as many people as he can. Currently, Guy is involved with the Protentional Overdose Emergency Response Center, Vancouver Coastal Health, the B.C. Center on Substance Use, and has his own company where he speaks with high school students, college students & more, focusing on Harm Reduction & Recovery Initiatives. He now has a Wife of 8 years and three beautiful kids. His biggest passion is speaking with youth, even on TEDx Talk stages, relating to them on a personal level that he hopes will change their lives for the better. This is Guy Felicella in his own words, on Knockin’ Doorz Down. For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For 51FIFTY use the discount code KDD20 for 20% off! https://51fiftyltm.com/ https://www.facebook.com/51FIFTYLTM https://www.instagram.com/51fiftyltm/ https://twitter.com/51fiftyltm For Manscaped use the code KDD for 20% of at https://www.manscaped.com/ For more on the Knockin' Doorz Down podcast and to follow us on social media https://www.kddmediacompany.com/podcast https://www.instagram.com/knockindoorzdown/ https://www.facebook.com/knockingdoorsdown/ https://twitter.com/kddmediacompany https://www.youtube.com/channel/UCUSJ5ooBFqso8lfFiiIM-5g/ For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma and Race For Autism programs visit: https://www.carlosvieirafoundation.org/ https://www.facebook.com/CVFoundation/ https://www.instagram.com/carlosvieirafoundation/ For more on Guy Felicella http://guyfelicella.com/ https://www.facebook.com/gfelicella/ https://www.instagram.com/felicellaconsulting/ https://twitter.com/guyfelicella/
As a kid, Darren was teased for his speech and learning disabilities. In high school, he got into trading baseball cards. He loved the statistics and having all the info on all the cards, and became the guy his friends would go to for sports info. He loved being that guy for his friends, and this gave him self-confidence. He eventually started going to trade shows and started making big money. It eventually turned into a mail-order card trading empire, which was the beginning of his early wealth. He went to his dad and asked him for 8-9k in insurance for his collection. That’s when he knew it was serious. He became a local celebrity entrepreneur, appearing on the Sally Jessie Raphael show. When he came back home, even with all this money, all this fame, he still felt like the kid in the back of the room. One time at sleepaway camp when he was 14 years old, he had stomach pains. He went to the nurse & got a clear green liquid, and felt on top of the world. He was laughing, talking and was the life of the party. He learned to fake his pain to get this green liquid, it turned out to be the opiate Demerol. Shortly after this is when he started becoming a full-blown drug addict. He learned how to manipulate his mother and father to get more pills. It all came to an end when he was 21 years old, he was arrested 4 times in 6 months. The judge let him go through a small counseling & recovery 1-year outpatient program. 2 days after leaving the program, he was involved in an auto accident because he & his friend were taking Xanax and drinking. After he went through recovery again, he planned a fly-fishing trip with his dad. After a deep heart to heart conversation, His dad gave him the confidence he needed to start his own talent agency. He named it Prince Marketing Group and Magic Johnson, Mohammad Ali, Joe Frazier, Dennis Rodman, and others were some of his first major clients. Even though he was still broke at this time, these first major clients gave him the credibility to become a “super-agent.” Even at this time in his life, he was sniffing Oxycontin, Ambien & Percocet’s every day. All of a sudden, those pills became his kryptonite, and he became suicidal. He felt lost, he even took out his own life insurance policy to support his family, in the event of his sudden death. On July 2nd, 2008 everything changed. He had a moment of clarity and decided to change for good. He got in a uber that night, and went directly to the closest AA meeting in the area, and hasn’t looked back since. He made a spiritual pact with himself and God, that if he got sober, that he would devote his life to getting others out of the darkness. This was the birth of the Aim High Foundation. In 2017, Darren lost his father due to an unexpected aneurism. He had a conversation with Terry Bollea (Hulk Hogan) told him to go get some time with his dad, to say goodbye, and ask his father if he wanted to keep fighting. His father said he was ready to go, but Darren reassured him that he was going to stay on his path to recovery, no matter what. Since then, Darren has spoken to kids, adults & everyone that needs to hear that they are not alone on their road to recovery. The best-selling author of "Aiming High" his autobiography and founder of the Aiming High foundation has continued to help all kinds of people, his life’s goal now is to devote his time and resources to help as many people as possible become and stay sober. This is Darren Prince in his own words on Knockin’ Doorz Down. For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For 51FIFTY use the discount code KDD20 for 20% off! https://51fiftyltm.com/ https://www.facebook.com/51FIFTYLTM https://www.instagram.com/51fiftyltm/ https://twitter.com/51fiftyltm For Manscaped use the code KDD for 20% of at Manscaped.com For more on the Knockin' Doorz Down podcast and to follow us on social media https://www.kddmediacompany.com/podcast https://www.instagram.com/knockindoorzdown/ https://www.facebook.com/knockingdoorsdown/ https://twitter.com/kddmediacompany https://www.youtube.com/channel/UCUSJ5ooBFqso8lfFiiIM-5g/ For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma and Race For Autism programs visit: https://www.carlosvieirafoundation.org/ https://www.facebook.com/CVFoundation/ https://www.instagram.com/carlosvieirafoundation/ For more on Darren Prince https://aiminghighfoundation.org/ https://www.facebook.com/darrenprince https://www.instagram.com/darrenprince https://twitter.com/darrenprince
Körperverletzung, Raub, Mord - für Sylvan Bormann und seine Kollegen ist das längst Alltag. Die Beamten des Kriminaldauerdienstes sind die ersten an einem Tatort - 24h, Tag und Tag, sind sie im Einsatz, begeben sich auf Spurensuche und -sicherung, befragen Opfer und Zeugen, nehmen an Obduktionen teil. In unserer neuen Folge sprechen wir mit dem Kriminaloberkommissar Sylvan Bormann über die Arbeit beim KDD der Polizei Hannover. Er erzählt uns von seinem Weg zur Polizei, was ihn dazu bewegt hat, sich mit den Abgründen der Gesellschaft zu beschäftigen und warum er gleich an seinem ersten Tag beim KDD mit einer abgetrennten Hand zurück zur Dienststelle fuhr. Wir beschäftigen und mit der Arbeit an einem Tatort, die entgegen aller Vorstellungen, die uns der Tatort vorgibt, länger als 10 Minuten dauert, um die Sicherung von Beweisen und Spuren und über die verschiedenen kriminaltechnischen Methoden, diese festzuhalten. Weiter führen die Beamten des KDD auch eine kriminalpolizeiliche Leichenschau an einem Leichenfundort durch. Sylvan erklärt, wie diese genau abläuft, worauf er und seine Kollegen dabei insbesondere achten müssen, und welche Hinweise auf ein Fremdverschulden hindeuten. Natürlich geht es auch um die Frage, wie er diese ganzen Eindrücke verarbeitet, ob die Gefahr besteht, abzustumpfen, und ob er bislang schon einmal seine Dienstwaffe einsetzen musste. Er erzählt uns von kuriosen Momenten bei der Todesbenachrichtigung von Angehörigen, ob es von Vorteil ist, hierfür eine Strategie zu entwickeln, und welche Fälle ihn noch bis heute beschäftigen.
Cody Wickliffe grew up with an alcoholic mother, going to AA meetings as early as 5 years old. He actually enjoyed the AA environment, because it was better than his home environment. At that age, he was already on heavy medication for ADHD, which led to him being placed in special education classes. This led to anxiety & acting out at a very young age. He started drinking at 13 years old, fell into the party crowd as a way of making new friends. A year later, drinking was already an issue. On his way to what he thought was a Metallica concert, his parents staged an intervention at age 14. After running away from multiple rehab facilities, they made him attend the Provo Canyon Boarding School, the same year & class as Paris Hilton. He was subjected to physical & emotional abuse. After this, he fell right back into his old habits. At this time in his life, he had 7 DUI’s, multiple warrants for his arrest & more. After being arrested by 2 cops in a bar, all of his missed court dates & warrants finally caught up with him. His bail was so high, he had used his dad’s plane as collateral. This turned out to be his breaking point & decided to get fully sober. He found a career, after sorting out his debt, his past, and finished his education. He went back to school to become a Drug & Alcohol counselor, gained the respect of his family & peers, and started a new career. After reconnecting with his love of music, he found his true passion in life. He got a gig being the tour manager for Five Finger Death Punch. The rest is history. This is Cody Wickliffe in his own words on Knockin’ Doorz Down. For 51FIFTY use the discount code KDD20 for 20% off! https://51fiftyltm.com/ https://www.facebook.com/51FIFTYLTM https://www.instagram.com/51fiftyltm/ For Manscaped use the discount code KDD for 20% off! https://www.manscaped.com/ For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For more on the Knockin' Doorz Down podcast and to follow us on social media https://www.kddmediacompany.com/podcast https://www.instagram.com/knockindoorzdown/ https://www.facebook.com/knockingdoorsdown/ https://twitter.com/kddmediacompany https://www.youtube.com/channel/UCUSJ5ooBFqso8lfFiiIM-5g/ For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma, and Race For Autism programs visit: https://www.carlosvieirafoundation.org/ https://www.facebook.com/CVFoundation/ https://www.instagram.com/carlosvieirafoundation/ For more on Cody Wickliffe https://www.instagram.com/codyw100
Alyssa describes getting bullied in school and falling into the bad crowd, using marijuana for the first time to fit in. This led to harder drugs, like cocaine, ecstasy & eventually heroin. Hear her story of how addiction consumed her life for 3 years, and eventually found her way out of the darkness.In the worst of her addiction, she was living in the back of her car, down to 90 pounds, stealing and committing crimes, helplessly strung out. Her first trip to rehab failed. Even a family intervention couldn’t help her, it wasn’t until she was in the lowest state in her life and fed up with the way drugs were ruling her life, that she decided to make a change & commit to rehab a second time.That 2nd time in rehab proved to be successful, now her focus is her amazing family, with her stepson & husband, working at the Banyan Treatment Center to share her stories to help other people going through the same things as she was. As well as how she came to meet and work with the hosts of Knockin' Doorz Down when they took their trip to Philadelphia to interview Bam Margera, Brandon Novak and Mike 'The Situation' Sorrentino. This is Alyssa Valentin in her own words on Knockin’ Doorz Down.For 51FIFTY use the discount code KDD20 for 20% off!https://51fiftyltm.com/https://www.facebook.com/51FIFTYLTMhttps://www.instagram.com/51fiftyltm/For Manscaped use the discount code KDD for 20% off!https://www.manscaped.com/ For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For more on the Knockin' Doorz Down podcast and to follow us on social media https://www.kddmediacompany.com/podcasthttps://www.instagram.com/knockindoorzdown/https://www.facebook.com/knockingdoorsdown/https://twitter.com/kddmediacompanyhttps://www.youtube.com/channel/UCUSJ5ooBFqso8lfFiiIM-5g/For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma, and Race For Autism programs visit:https://www.carlosvieirafoundation.org/https://www.facebook.com/CVFoundation/https://www.instagram.com/carlosvieirafoundation/For more on Alyssa Valentinhttps://www.instagram.com/alyssa__valentin/ https://linktr.ee/lyssvxoxo
Gregg Champion is living up to his last name. Champion by definition is a person who has defeated or surpassed all rivals in a competition, especially in sports. However, Gregg lives by the second definition, a person who fights or argues for a cause or on behalf of someone else. His cause is sobriety and supporting those who seek personal growth and prosperity. Gregg’s story starts normal enough until at the age of 4 and a half his father was killed in a drunk-on-drunk car crash. Causing extreme mental, emotional, and financial stress upon his mother, Gregg still maintained good grades and excelled in sports. Sadly Gregg was sexually abused, around 8 years old. This led Gregg to feel shame and guilt, eventually bullying others to hide his scars.At the age of 10, Greggs mother remarried a World War 2 veteran. His stepfather was in 13 years in recovery. However, Gregg started using and abusing substances at the age of 13. Gregg would eventually go on to abusing alcohol and drugs along with becoming a drug dealer himself. After multiple DUI’s and arrests, Gregg was facing serious jail time. Under the encouragement of his mom, Gregg attended church, followed by confession. By the grace of a higher power, the priest he confessed to, was his stepfather's first Alcoholics Anonymous sponsor. Now a true champion for sobriety and substance abuse prevention, this is Gregg Champion in his own words on Knockin’ Doorz Down.For 51FIFTY use the discount code KDD20 for 20% off!https://51fiftyltm.com/https://www.facebook.com/51FIFTYLTMhttps://www.instagram.com/51fiftyltm/For Manscaped use the discount code KDD for 20% off!https://www.manscaped.com/ For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For more on the Knockin' Doorz Down podcast and to follow us on social media https://www.kddmediacompany.com/podcasthttps://www.instagram.com/knockindoorzdown/https://www.facebook.com/knockingdoorsdown/https://twitter.com/kddmediacompanyhttps://www.youtube.com/channel/UCUSJ5ooBFqso8lfFiiIM-5g/For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma, and Race For Autism programs visit:https://www.carlosvieirafoundation.org/https://www.facebook.com/CVFoundation/https://www.instagram.com/carlosvieirafoundation/For more on Gregg Champion https://www.therecoveryplaybook.com/getstartedhttps://www.instagram.com/greggchampion/https://twitter.com/greggchampionhttps://www.linkedin.com/in/greggchampion/
UNITY : Nouvel épisode un dimanche sur deux, en collaboration avec les meilleurs Djs Français. Épisode 9 spécial Rap Français, avec les talentueux Dj Addict & Dj Serom Tu peux nous retrouver à ces liens : Devenir un Bon DJ : Youtube : http://www.youtube.com/c/DjShubaK_DevenirUnBonDJ Formation : https://devenirunbondj.podia.com - Serom : insta @djserom Addict : insta @AddictDj Shuba-K : insta @djshubak / www.djshubak.com - Playlist : . Dj Addict Intro East - Straight from the underground Busta Flex - Hip-Hop Forever Zoxea - Rap, musique que j’aime Diam’s - Said et Mohamed Fonky Family - L’amour du risque Oxmo Puccino - Amour et jalousie X-Men - One one one Arsenik - Regarde le monde Doc Gyneco ft. Calbo & MC Janik - Les mêmes droits . Dj Shuba K Intro Doc Gyneco - Passement de Jambes Mafia Trece - Arrête-ca KDD & 113 - Artifice 113 - truc de Fou Disiz la Peste - J'pète Les Plombs Psy4 De La Rime - Au Taquet Fonky Family - Cherche Vraiment Pas A Comprendre 3ème Oeil - La Vie de Rève . Dj Serom Intro Busta Flex - J'fais Mon Job A Plein Temps NTM - Seine St Denis Style (Blend) NTM - That's My People Busta Flex / Zoxea - 1 Pour La Basse Fonky Family - La furie et la foi Psy4 De La Rime / Saleem - Le Son Des Bandits (Blend) X-Men - J'attaque Du Mic Time Bomb Allstars - Time Bomb Explose Lunatic - Le Crime Paie Booba - Repose En Paix Lunatic - CivilisÈ Fonky Family - Cherche Pas A Comprendre
Skinny Vinny Imperati opens up about his traumatic childhood, which began with losing his father, who was hit and killed on his motorcycle. His relationship with his mother was also tough, who suffers from a deep family history of addiction and alcoholism. Skinny Vinny started using marijuana and eventually selling it to generate an income. Eventually, he began to go down a dark road that led him to use the gambit of substances. After a dentist visit that caused a great amount of pain, a friend gave him his first opioid. Vinny was hooked and that took him from prescription medication to snorting heroin and quickly moving to shooting up. During one of his lowest points of addiction, Vinny shares how he was homeless and living in a Porta-Potty for over two years. During times of hard weather, he would use the water and snow that accumulated below the Porta-Potty to mix with his heroin so that he could shoot up.Vinny would eventually hit his rock bottom and seek the help he needed for sobriety to finally stick. After spending time in a sober living facility, Vinny went on to be in charge of the facility that he lived in. However, he knew he needed to pursue his passion for videography. Vinny has gone on to work and developed close friendships with the likes of Steve-O, Bam Margera, Dalton Dern, Zackass, and many others from the skate community. Now a champion for sobriety and substance abuse prevention, this is Skinny Vinny Imperati in his own words on Knockin’ Doorz Down.For Manscaped use the discount code KDD for 20% off!https://www.manscaped.com/ For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For more information on the 51FIFTY LTM lifestyle brand https://51fiftyltm.com/https://www.facebook.com/51FIFTYLTMhttps://www.instagram.com/51fiftyltm/For more on the Knockin' Doorz Down podcast and to follow us on social media https://www.kddmediacompany.com/podcasthttps://www.instagram.com/knockindoorzdown/https://www.facebook.com/knockingdoorsdown/https://twitter.com/kddmediacompanyhttps://www.youtube.com/channel/UCUSJ5ooBFqso8lfFiiIM-5g/For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma and Race For Autism programs visit:https://www.carlosvieirafoundation.org/https://www.facebook.com/CVFoundation/https://www.instagram.com/carlosvieirafoundation/For more on Skinny Vinny https://www.facebook.com/joe.imperati.5 https://www.instagram.com/skinnyvinny666/ https://twitter.com/ImperatiVinny
Kurt Angle opens up about the road that led him to prescription medication addiction and alcoholism, and his ultimate fight: The path that he took to achieving, maintaining sobriety, and inspiring others. Kurt speaks on the untimely death of his father due to a work accident when he was only 16. The memories of his father's alcoholism. This wasn't Kurt's only tragic loss. His mentor and his wrestling coach, David Schultz, whom he regarded as a paternal figure was tragically killed by John du Pont as detailed in the film Foxcatcher. Kurt would go on to win the Olympic Gold Medal in the heavyweight amateur wrestling class despite having a broken neck. Kurt would eventually go on to join the WWE achieving superstardom and capturing many championships, but not without a cost: suffering several more broken necks. Eventually, he started abusing prescription medication and refused to seek treatment. Leading to his departure from the WWE and moving to TNA Wrestling. During his time in TNA, he began to add alcohol and Xanax to his growing habit, stating he was taking up to 65 Vicodin a day. After his 4th DUI, his second wife told him that she'd leave him if he didn't seek help. Kurt realized that he'd lose his wife, 6 children, job, and his life if he didn't change. He heroically took on his battle with addiction as he did in amateur wrestling and the squared circle in professional wrestling. Coming towards 8 years sober, Kurt has become an inspirational and motivational speaker to those seeking and practicing sobriety, as well as others looking to make positive life changes. This is Kurt Angle in his own words on Knockin’ Doorz Down.For Manscaped use the discount code KDD for 20% off!https://www.manscaped.com/ For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For more information on the 51FIFTY LTM lifestyle brand https://51fiftyltm.com/https://www.facebook.com/51FIFTYLTMhttps://www.instagram.com/51fiftyltm/For more on the Knockin' Doorz Down podcast and to follow us on social media https://www.kddmediacompany.com/podcasthttps://www.instagram.com/knockindoorzdown/https://www.facebook.com/knockingdoorsdown/https://twitter.com/kddmediacompanyhttps://www.youtube.com/channel/UCUSJ5ooBFqso8lfFiiIM-5g/For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma and Race For Autism programs visit:https://www.carlosvieirafoundation.org/https://www.facebook.com/CVFoundation/https://www.instagram.com/carlosvieirafoundation/For more on Kurt Angle https://www.facebook.com/realkurtangle/https://www.instagram.com/therealkurtangle/https://twitter.com/RealKurtAngle
Charlie Sheen opens up about the breakdown that was front and center in the public eye. "Winning" "Tigers Blood" and what was really going on in his life at that point. With long-term sobriety and a new way of life, Charlie opens up about the first time he tried a substance at the age of 10. Charlie shares what it was like growing up the son of a famous actor (Martin Sheen) as well as the sibling of Emilio Estévez. When did his loved ones first intervene to help Charlie understand that he had a problem? We talk about the steps towards sobriety, his relationship with his father now as well as stories from the set of some of his films and Two and A Half Men. How did he feel about being replaced by Ashton Kutcher and what are his career aspirations? This is Charlie Sheen in his own words on Knockin’ Doorz Down.For Manscaped use the discount code KDD for 20% off!https://www.manscaped.com/ For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For more information on the 51FIFTY LTM lifestyle brand https://51fiftyltm.com/https://www.facebook.com/51FIFTYLTMhttps://www.instagram.com/51fiftyltm/For more on the Knockin' Doorz Down podcast and to follow us on social media https://www.kddmediacompany.com/podcasthttps://www.instagram.com/knockindoorzdown/https://www.facebook.com/knockingdoorsdown/https://twitter.com/kddmediacompanyhttps://www.youtube.com/channel/UCUSJ5ooBFqso8lfFiiIM-5g/For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma and Race For Autism programs visit:https://www.carlosvieirafoundation.org/https://www.facebook.com/CVFoundation/https://www.instagram.com/carlosvieirafoundation/For more on Charlie Sheen https://www.facebook.com/CharlieSheen/https://www.instagram.com/charliesheen/https://twitter.com/charliesheen
Shanda Renee shares the story of the night she attempted suicide and ended up helping to save the life of a man who was shot. What drove her to the point of not wanting to live?Growing up in an alcoholic home and with a mother who tried to present "the perfect family". Shanda was sexually abused at an early age which led her down a path of feeling disconnected from her peers. This led her down a path of codependent relationships, repeating trauma, and becoming a struggling single mother who turned to stripping to make ends meet.Hear Shanda's inspirational story of a chance meeting while working as a hostess at an upscale restaurant in which famed movie producer and director Garry Marshall handpicked her to play a supporting role in his 2004 film Raising Helen. Starring Kate Hudson, Joan Cusack, Helen Mirren, Hayden Panettiere, and Spencer Breslin. Now pursuing her dream as a full-time actor and producer, she embarks on helming her first independent production "The Elsewhere". This is Shanda Renee in her own words on Knockin’ Doorz Down.For Manscaped use the discount code KDD for 20% off!https://www.manscaped.com/ For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For more information on the 51FIFTY LTM lifestyle brand https://51fiftyltm.com/https://www.facebook.com/51FIFTYLTMhttps://www.instagram.com/51fiftyltm/For more on the Knockin' Doorz Down podcast and to follow us on social media https://www.kddmediacompany.com/podcasthttps://www.instagram.com/knockindoorzdown/https://www.facebook.com/knockingdoorsdown/https://twitter.com/kddmediacompanyhttps://www.youtube.com/channel/UCUSJ5ooBFqso8lfFiiIM-5g/For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma and Race For Autism programs visit:https://www.carlosvieirafoundation.org/https://www.facebook.com/CVFoundation/https://www.instagram.com/carlosvieirafoundation/For more on Shanda Renee https://www.facebook.com/ShandaRenee777https://www.instagram.com/shandarenee__/https://twitter.com/shandarenee__
Brian "Sledge" Campbell was forged by the demons that live inside his head, “The Metalhead Maniac” once turned to drugs and alcohol to quiet those voices. Bullied as an overweight child, Brian had one positive influence in his life: his father, with whom he'd sit and watch Pro Wrestling for hours. Upon his father's passing, Brian started drinking alcohol getting drunk for the first time at the age of 13. This was the start down a long path of substance abuse and failed relationships. However, realizing he was hurting himself and those closest to him, as well as being blackballed from Pro Wrestling, after tryouts with some of the biggest companies including WWE. Sledge refocused and after an appearance on the Stone Cold Steve Austin podcast, he returned to the sport he loved: professional wrestling.He has devoted himself to training and becoming the most bruising, devastating fighter in the business. Sledge’s quest took him to the ROH Dojo, where he has impressed coaches with his passion, intensity, and physicality. Now living out his dream as a full-time Pro Wrestler, he believes that anyone no matter their circumstances can dedicate their lives to living out their dreams. This is Brian "Sledge" Campbell in his own words on Knockin’ Doorz Down.For Manscaped use the discount code KDD for 20% off!https://www.manscaped.com/ Huge thanks to Podcorn for sponsoring this episode. Explore sponsorship opportunities and start monetizing your podcast by signing up here: https://podcorn.com/podcasters/ Your ads will play everywhere that you distribute your episode (Apple, Spotify, Google Podcast, etc).For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For more information on the 51FIFTY LTM lifestyle brand https://51fiftyltm.com/https://www.facebook.com/51FIFTYLTMhttps://www.instagram.com/51fiftyltm/For more on the Knockin' Doorz Down podcast and to follow us on social media https://www.kddmediacompany.com/podcasthttps://www.instagram.com/knockindoorzdown/https://www.facebook.com/knockingdoorsdown/https://twitter.com/kddmediacompanyhttps://www.youtube.com/channel/UCUSJ5ooBFqso8lfFiiIM-5g/For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma and Race For Autism programs visit:https://www.carlosvieirafoundation.org/https://www.facebook.com/CVFoundation/https://www.instagram.com/carlosvieirafoundation/For more on Brian "Sledge" Campbell https://www.instagram.com/sledge805/https://www.twitch.tv/Sledge805 https://twitter.com/Sledge805
Bam Margera and Brandon Novak rose to fame as skateboarders in their youth along with MTV's Jackass and Viva La Bam. They share their stories of friendship dating back to their preteen years and deep love and friendship for one another. With the chaos of fame and what was seen on television and in movie theatres, the groundwork for addiction and substance abuse was being laid. Hear of the crazy times behind these scenes, how fame went to their heads and they became misguided in life. From Novak being on death's door and Bam being there for him to Novak 5 years sober and guiding Bam on his journey to sobriety. This is Bam Margera and Brandon Novak in their own words on Knockin’ Doorz Down.For Manscaped use the discount code KDD for 20% off!https://www.manscaped.com/ Huge thanks to Podcorn for sponsoring this episode. Explore sponsorship opportunities and start monetizing your podcast by signing up here: https://podcorn.com/podcasters/ Your ads will play everywhere that you distribute your episode (Apple, Spotify, Google Podcast, etc).For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For more information on the 51FIFTY LTM lifestyle brand https://51fiftyltm.com/https://www.facebook.com/51FIFTYLTMhttps://www.instagram.com/51fiftyltm/For more on the Knockin' Doorz Down podcast and to follow us on social media https://www.kddmediacompany.com/podcasthttps://www.instagram.com/knockindoorzdown/https://www.facebook.com/knockingdoorsdown/https://twitter.com/kddmediacompanyhttps://www.youtube.com/channel/UCUSJ5ooBFqso8lfFiiIM-5g/For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma and Race For Autism programs visit:https://www.carlosvieirafoundation.org/https://www.facebook.com/CVFoundation/https://www.instagram.com/carlosvieirafoundation/For more on Bam Magera and Brandon Novak https://www.facebook.com/BamMargera/https://www.instagram.com/bam__margera/https://twitter.com/bam__margerahttps://www.instagram.com/brandon__novak/https://twitter.com/brandon_novakhttps://twitter.com/brandon_novak
The hosts of the Knockin' Doorz Down podcast, Jason LaChance, and Mikey Nawrocki share their stories of adverse times, substance abuse, and how they're using their life experiences in speaking with all the guests on the Knockin' Doorz Down podcast. Their mission of inspiring you the listeners by sharing real-life stories of those who have taken their greatest adversities and turned them into their greatest advantages. Plus some behind the scenes insight on past and future episodes. This is Jason and Mikey in their own words on Knockin’ Doorz Down.For Manscaped use the discount code KDD for 20% off!https://www.manscaped.com/ For Carlos Vieira's autobiography Knockin' Doorz Down https://www.kddmediacompany.com/ For more information on the 51FIFTY LTM lifestyle brand https://51fiftyltm.com/https://www.facebook.com/51FIFTYLTMhttps://www.instagram.com/51fiftyltm/For more on the Knockin' Doorz Down podcast and to follow us on social media https://www.kddmediacompany.com/podcasthttps://www.instagram.com/knockindoorzdown/https://www.facebook.com/knockingdoorsdown/https://twitter.com/kddmediacompanyhttps://www.youtube.com/channel/UCUSJ5ooBFqso8lfFiiIM-5g/For more information on the Carlos Vieira Foundation and the Race 2B Drug-Free, Race to End the Stigma and Race For Autism programs visit:https://www.carlosvieirafoundation.org/https://www.facebook.com/CVFoundation/https://www.instagram.com/carlosvieirafoundation/
Basani ''KDD'' Khoza This mixtape was compiled by KDD from Deep Essentials Facebook: Basani KDD Khoza Instagram: kdd_sa twitter: kdd_sa email: deepessentials1
Basani ''KDD'' Khoza This mixtape was compiled by KDD from Deep Essentials Facebook: Basani KDD Khoza Instagram: kdd_sa twitter: kdd_sa email: deepessentials1
TRACKLIST 3:30 Rocca - Le Hip Hop Mon Royaume 6:30 MC Solaar - Gangster Moderne 9:30 D Abuz System - Ca Se Passe 13:30 Akhenaton - Bad Boys de Marseille (Feat. Shurik'n) 17:00 Akhenaton - La face B 19:00 Akhenaton - La Face B 27:30 La Cliqua - La Cavale 35:00 Passi - Nautilus: Black December 38:30 Lone - Je Représente 41:00 Typical Féfé - Chante pour les opprimés 44:00 Busta Flex - Kick Avec Mes Nike 48:00 Afrojazz - La Teci 51:00 Ideal J - Hardcore 55:00 Suprême NTM - La fièvre 58:30 Ill - J'attaque du mix 1:01:30 Oxmo Puccino - Pucc' Fiction 1:04:30 Doc Gynéco - Nirvana 1:08:00 Mafia K'1 Fry - Thug Life 1:17:00 Passi - Le monde est à moi (feat. Akhenaton) 1:19:30 Lunatic - Le crie paie 1:31:00 Assassin - Je glisse 1:35:00 Sixième Aks - Cocaine (Feat.ATK) 1:42:00 La Brigade - 16 rimes 1:46:30 Raggasonic - Légalisez la ganja 1:49:30 Lady Laistee - Et Si ... ? 2:04:30 Lord Kossity - Homicide (Kill-Kill) 2:08:00 La Cliqua featuring Rocca - Les jeunes de l' univers 2:17:30 Rohff - On fait les choses 2:24:00 Rohff - Sensation brave 2:30:30 Jango Jack - Seul mic 2:33:30 Démocrates D - Le crime 2:40:30 MACTYER - Imagine 2:44:00 Kery James - Deux issues 2:47:30 La Brigade - Cris d'adolescense 2:50:30 Psykopat - Bad Tripeuzz 2:52:30 Ärsenik - L'enfer remonte à la surface 2:57:00 KDD - Ça se passe 2:58:30 KDD - Ça se passe (Free Style) 3:01:30 Sléo - Je Lance Les Des 3:05:00 Les Sages Poètes de la Rue - Qu'est-ce qui fait marcher les sages ? 3:08:30 Soon E Mc - Chauffeur de taxi groove 3:11:30 Les Sages Poètes de la Rue - Amoureux d'une énigme 3:16:00 Busta Flex - Le Zedou 3:19:00 Cheb Mami - Parisien du nord 3:22:30 Rockin' Squat - Tu veux savoir (feat. Mr R, Rocca, Ritmo, D.Vice, Profecy, Acide, Etyr, Reoz) 3:26:00 Lunatic - Civilisé 3:29:30 Daddy Yod - Delbor 3:32:00 IAM - Le Shit Squad 3:35:30 Ministère A.M.E.R. - Sacrifice de poulets (Remasterisé) 3:47:30 Les Little - Ressens le son 3:51:30 Lone - Les Skyzos 3:54:00 Iam - Je danse le Mia 3:57:30 Assassin - Le futur que nous réserve-t-il ? 4:05:30 Dee Nasty - Funk A Size 4:10:00 Le Rat Luciano - Sacré 4:12:30 MC Solaar - Bouge de Là, PRT. 1 4:15:30 X Men - Pendez les 4:18:00 Ideal J - Je dois faire du cash 4:23:30 Jltisme - J'suis'f' 4:27:00 Assassin - Shoota babylone
関連リンク Preferred Networks KDD 2019 | Chainer: a Deep Learning Framework for Accelerating the Research Cycle chainer/chainerio Jubatus : オンライン機械学習向け分散処理フレームワーク PFN、3機種めのディープラーニング用スパコンを2019年7月に稼働、合計で200ペタFLOPSに 確率的勾配降下法 Lustre (ファイルシステム) C API libhdfs Amazon CloudFront ケルベロス認証 Hadoop and Kerberos Apache Hadoop Ozone 小さなファイルが大きな問題を引き起こす：Hadoopクラスターでのスモールファイルの予防と対処について Kubernetesに分散ストレージのCephを統合する「Rook」がCNCFの正式プロジェクトに。ファイル、ブロック、S3互換オブジェクトストレージやマルチリージョン対応も Python bindings - Apache Arrow SRE サイトリライアビリティエンジニアリング ―Googleの信頼性を支えるエンジニアリングチーム Autonomous Tidying-up Robot System NSDI ‘19 OSDI ‘18 「ところてんって会社で何やってるの？なんのエンジニアだっけ？」 と部長から言われた。 hadoopとhiveとmysqlと機械学習とログ解析と自然言語処理とVBAと火消しをやっているが、めんどくさいので「高機能雑用」と答えておいた。 だいたい間違ってない。 Preferred Networks Careers GTC Silicon Valley-2019: MagLev: A Production-grade AI Platform Running on GPU-enabled Kubernetes Clusters
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