Podcasts about michael chen

Large language models (LLMs) are moving beyond simple data extraction to complex, guideline-based triage in emergency stroke care. In this episode, JNIS Editor-in-Chief, Dr. Michael Chen, speaks with Dr. Ayman Meddeb, a senior consultant and interventional neuroradiologist at Charité - Universitätsmedizin Berlin, Germany. They discuss his latest paper, "Evaluating accuracy and reasoning capabilities of large language models for acute ischemic stroke management" (https://jnis.bmj.com/content/early/2026/06/23/jnis-2026-025429). Please subscribe to the JNIS podcast on your favourite platform to get the latest podcast every month. If you enjoy our podcast, you can leave us a review or a comment on Apple Podcasts (https://apple.co/4aZmlpT) or Spotify (https://spoti.fi/3UKhGT5). We'd love to hear your feedback on social media - @JNIS_BMJ.

Private equity co-investing has evolved from a niche institutional strategy into an increasingly important part of the private markets ecosystem. As allocators seek greater portfolio customization, fee efficiency and direct exposure to private equity value creation, co-investments have become a growing area of focus. In this episode, Alan Flannigan and Andrew Korz sit down with Michael Chen, Co-Head of Direct Equity Investing at Future Standard, to discuss how the co-investment market works, why sponsors offer co-investment opportunities, and what separates successful co-investment platforms from the rest. The conversation explores the role of GP relationships, the unique dynamics of middle market co-investing and how allocators are using co-investments alongside primary funds and secondaries to build more diversified private equity portfolios. As the co-investment market continues to grow, understanding how these opportunities are sourced, evaluated, and accessed has become increasingly important for both institutional and private wealth investors.Have a question for our experts? Text us for a chance to have your questions answered on the next episode.For more research insights go to https://futurestandard.com/insights 

We explore the state of education just before the rise of AI, compare it to today, and extrapolate into the future. SourcesTyler Jagt, "My Students Can't Read," Chronicle of Higher Education, 2026. NAEP Long-Term Trend AssessmentPew Research, "Reading for fun has become less common," 2021.James S. Coleman et al., Equality of Educational Opportunity ("The Coleman Report"), US Dept. of Health, Education, and Welfare, 1966Kathryn Borman & Monique Dowling, Teachers College Record, 2010.Dan Goldhaber, "The Mystery of Good Teaching," Education Next, 2002 Steven Rivkin, Eric Hanushek & John Kain, teacher-effects study, Econometrica, 2005. Xitao Fan & Michael Chen, parental-involvement meta-analysis, Educational Psychology Review, 2001 World Bank, "Vietnam's Human Capital: Education Success and Future Challenges," 2020 (PISA science outperformance on low per-pupil spend). OECD, "Does Money Buy Strong Performance in PISA?", PISA in Focus No. 13, 2012 (no score/spending relationship above ~$35k cumulative per-student spend). NCES, Digest of Education Statistics 2023, Table 236.55 (US per-pupil spending, $6,873 → $17,495 real dollars, 1970-71 to 2020-21)Boston Globe, 2001 coverage of Harvard grading ("laughing stock of the Ivy League"; 91% of seniors graduating with honors). Harvard Crimson, Oct. 5, 2023 (~79-80% of 2020-21 grades in the A range)Anemona Hartocollis, "Harvard Students Skip Class and Still Get High Grades, Faculty Say," New York Times, Oct. 6, 2025. Gallup, confidence-in-higher-education tracking, July 2023 and July 2024 releases (57% in 2015 → 36% in 2023/24; Republican confidence ~56%→~19-20%, Democratic decline much smaller)Pew Research, Aug. 2019 (share saying colleges have a negative effect on the country, 26%→38%, 2012-2019, driven almost entirely by Republicans/leaners)Challenge Success (Stanford, Denise Pope), Fall 2018 surveyMark Galloway, cheating in advantaged-community schools, Ethics & Behavior, 2012Stacy Dale & Alan Krueger, "Estimating the Payoff to Attending a More Selective College," NBER WP 7322, Aug. 1999; Quarterly Journal of Economics, 2002. Follow-up: NBER WP 17159, Jun. 2011; Journal of Human Resources, 2014.ProPublica & The Chronicle of Higher Education, "The Newest College Admissions Ploy: Paying to Make Your Teen a 'Peer-Reviewed' Author," May 2023.Nataliya Kosmyna et al., "Your Brain on ChatGPT," MIT Media Lab, arXiv:2506.08872, 2025. Hao-Ping (Hank) Lee et al., "The Impact of Generative AI on Critical Thinking," CHI 2025, peer-reviewed, n=319. Turnitin AI-detection data, 2023-2026 (>80% AI-written flags: ~3% early 2023 → ~15% early 2026).Inside Higher Ed / Generation Lab Student Voice survey, Aug. 2025Rose Horowitch, "The Elite College Students Who Can't Read Books," The Atlantic, Oct. 2024. "Hilarius Bookbinder," "The Average College Student Is Illiterate," Persuasion, Mar. 2025. Tyler Jagt, "My Students Can't Read," Chronicle of Higher Education, 2026. NAEP 2024 12th-grade reading assessment, released Sept. 2025 (lowest since assessment began). Erik Brynjolfsson, Bharat Chandar & Ruyu Chen (Stanford Digital Economy Lab), "Canaries in the Coal Mine?," Nov. 2025, ADP payroll dataIndeed Hiring Lab, entry-level software postings2U, coding-bootcamp partnership shutdown, Dec. 2024.Southern New Hampshire University, bootcamp closure, 2023, citing AI adoption.World Economic Forum, Future of Jobs Report, 2023 & 2025 McKinsey Global Institute, "Skill Shift," 2018 Stefan Bauschard, "Education is a Wicked Problem in AI" Brian Miller, "Farewell, Peak Literacy, We Hardly Knew You," Front Porch Republic, Nov. 2023. James Marriott, The New Dark Ages: The Death of Reading and the Dawn of the Post-Literate Society Hosted on Acast. See acast.com/privacy for more information.

Evaluating device performance, safety, and procedural efficacy remains essential as mechanical thrombectomy technology for large vessel occlusion (LVO) rapidly evolves. In this episode, JNIS Editor, Dr. Michael Chen, talks with Dr. Marc Ribo, an interventional neurologist at Vall d'Hebron University Hospital in Barcelona, Spain. They discuss his systematic review paper, "Super large bore catheters in the treatment of stroke: systematic review" (https://jnis.bmj.com/content/early/2026/03/27/jnis-2026-025001).  They discuss published data on super large bore catheters (SLACs; inner diameter ≥0.080 inch), highlighting key metrics including first-pass effect, overall recanalization rates, and navigability through tortuous intracranial vasculature. Please subscribe to the JNIS podcast on your favourite platform to get the latest podcast every month. If you enjoy our podcast, you can leave us a review or a comment on Apple Podcasts (https://apple.co/4aZmlpT) or Spotify (https://spoti.fi/3UKhGT5). We'd love to hear your feedback on social media - @JNIS_BMJ.

Optimising mechanical thrombectomy speed and efficiency remains a primary focus in acute ischemic stroke management. In this episode, JNIS Editor, Dr. Michael Chen, talks with Dr. Keiko Fukuda, a neurointerventional fellow at UCLA and practising neurointerventionalist in Monterey, California, and Dr. Victor Szeder, Professor of Radiology, Neurology, and Neurosurgery and Director of the Neurointerventional Fellowship at UCLA. They talk about their multi-centre paper, "Faster reperfusion with combined delivery catheter systems and aspiration first stroke thrombectomy: a multicenter analysis" (https://jnis.bmj.com/content/early/2026/06/19/jnis-2025-024700). The authors discuss data comparing combined delivery catheter systems against standard aspiration setups, highlighting significantly faster times from groin puncture to clot contact and an impressive 67% first-pass effect. They also share key clinical insights on overcoming severe arterial tortuosity. Please subscribe to the JNIS podcast on your favourite platform to get the latest podcast every month. If you enjoy our podcast, you can leave us a review or a comment on Apple Podcasts (https://apple.co/4aZmlpT) or Spotify (https://spoti.fi/3UKhGT5). We'd love to hear your feedback on social media - @JNIS_BMJ.

Every year, the conversations at Payroll Congress shift. Five years ago it was platforms and providers. Then remote work and resilience. But at the 44th Payroll Congress in Nashville, every conversation kept circling back to the same two questions: what can we actually trust AI to do, and what is going to be inside our payroll teams in five years' time?In this special live episode of @thepayrollpodcast and PayTalk, recorded on the expo floor in Nashville, Nick Day and Natalie Lloyd sit down with seven payroll leaders and innovators to get honest answers from the people living these challenges right now.Across every conversation, one thing stands out: the payroll professionals who are thriving are not the ones with the biggest budgets or the newest tech stacks. They are the ones with the clearest point of view on where their function is heading and why.Throughout the episode, Nick and Natalie explore how agentic ring-fenced AI is set to become as foundational to payroll as Excel once was, why global payroll is now the dominant conversation on the Congress floor, how cultural intelligence is becoming a core leadership skill, why change management is the steering wheel and technology is only the engine, and how payroll must move from invisibility to influence inside modern organisations.Whether you are navigating AI adoption, managing global teams, or trying to position payroll as a strategic function, this episode will sharpen how you think about the profession and your place in it.This episode is sponsored by DeelManaging a global team is complex, Deel makes it simpler with payroll, HR, IT, and compliance all in one place. That's why over 35,000 businesses trust Deel to hire, pay, and manage their teams worldwide.See how Deel works at www.deel.com/nickdayGuests and Hosts:Connect with Danny Gillespie: https://www.linkedin.com/in/dannygillespie/Connect with Stanislava Susla: https://www.linkedin.com/in/stanislava-susla-6a8298b2/Connect with Kira Rubiano: https://www.linkedin.com/in/kirarubiano/Connect with Kristi Smith: https://www.linkedin.com/in/kristi-smith-sphr-gphr-2269787/Connect with Susan Baptista: https://www.linkedin.com/in/sbaptista1967/Connect with Michael Chen: https://www.linkedin.com/in/michael-chen-9761b735/Connect with Dale Wethered: https://www.linkedin.com/in/dale-wethered-cpp-11977317/Connect with Natalie Lloyd: https://www.linkedin.com/in/natalielloyd94/ Connect with Nick Day: https://www.linkedin.com/in/nickday/Find your ideal payroll candidate with our job vacancy system: https://jgarecruitment.ck.page/919cf6b9ea Sign up to the Payroll Podcast Newsletter: https://jgarecruitment.ck.page/23e7b153e7Stay tuned for the next episode of The Payroll Podcast, brought to you by Nick Day, CEO at JGA Recruitment, landing soon!Enjoyed this? Check out our sister podcast @thehrldpodcast for more great content!Timestamps:(00:00) Introduction and Welcome to Payroll Congress 2026 Nashville(00:45) What Every Conversation at Congress Is Really About This Year(02:19) Danny Gillespie on Global Payroll Growth and the Rise of EOR(05:00) How Deel Gets Companies Global in Days Not Months(10:50) Stanislava Susla on AI in Payroll and the Power of In-Person Connection(14:21) Kira Rubiano on Culture, Leadership, and the Global Payroll Mindset(25:13) Kristi Smith on AI Adoption, Change Management, and Cross-Functional Alignment(29:57) Sue Baptiste on Community, Giving Back, and Never Stopping Learning(37:03) Michael Chen on Navigating the Complexity of Asian Payroll Markets(43:08) Dale Wethered on Agentic AI and the Future of the Payroll Profession(49:36) Why Payroll Congress Is the Community the Profession Cannot Afford to Miss(54:51) Closing Reflections and What Is Coming in Episode Three

Evaluating the 90-day safety and technical feasibility of a percutaneous transvenous approach represents a critical milestone for routing cerebrospinal fluid (CSF) – the clear liquid that cushions the brain and spine – directly into the venous system. In this episode, JNIS Editor, Dr. Michael Chen, talks with corresponding author Professor Adel Malek (Tufts Medical Center, Boston) (1) to discuss his high-impact paper, "Safety of endovascular shunting for normal pressure hydrocephalus from a prospective, multicenter, single-arm study”. They discuss the results of this 66-patient, prospective trial, exploring how the novel eShunt system accesses the cerebellopontine angle cistern to drain CSF and relieve pressure.  Please subscribe to the JNIS podcast on your favourite platform to get the latest podcast every month. If you enjoy our podcast, you can leave us a review or a comment on Apple Podcasts (https://apple.co/4aZmlpT) or Spotify (https://spoti.fi/3UKhGT5). We'd love to hear your feedback on social media - @JNIS_BMJ. (1) Neurosurgeon Adel Malek, MD, PhD. Chief of the Cerebrovascular and Endovascular Division in the Department of Neurosurgery, Tufts Medical Center; Professor of Neurosurgery, Tufts University School of Medicine, Boston, USA. The JNIS Podcast is produced by Letícia Amorim, and is edited by Pritesh Kapadia.  

Achieving near-complete reperfusion in medium vessel occlusions (MeVO) is linked to smaller final infarct volumes.  However, this did not translate into a statistically significant shift in 90-day functional independence.   In this episode,  JNIS Editor-in-Chief, Dr. Michael Chen, and Professor Johanna Ospel (1) discuss the post-hoc analysis of the ESCAPE-MeVO trial, titled "Reperfusion grade and clinical outcome following medium vessel occlusion thrombectomy in the Endovascular Treatment to Improve Outcomes for Medium Vessel Occlusion trial".  Please subscribe to the JNIS podcast on your favourite platform to get the latest podcast every month. If you enjoy our podcast, you can leave us a review or a comment on Apple Podcasts (https://apple.co/4aZmlpT) or Spotify (https://spoti.fi/3UKhGT5). We'd love to hear your feedback on social media - @JNIS_BMJ. (1) Clinical Associate Professor at the University of Calgary and Senior Lecturer at the University of Basel. The JNIS Podcast is produced by Letícia Amorim, and is edited by Pritesh Kapadia.

Headache affects up to 90% of patients following aneurysmal subarachnoid hemorrhage (aSAH), often requiring high-dose opioids that can complicate neurological monitoring.  In this episode, JNIS Editor-in-Chief, Dr. Michael Chen, is joined by Professor Peter Kan¹ to discuss a prospective pilot study investigating a novel dural therapy: the infusion of lidocaine (with or without dexamethasone) via the middle meningeal artery (MMA) during aneurysm embolisation.  They explore the safety of this targeted approach, its impact on Visual Analog Scale (VAS) pain scores, and its potential as an opioid-sparing strategy in the neuro-ICU. Link to the discussed paper: "Middle meningeal artery infusion for headaches after aneurysmal subarachnoid hemorrhage: a pilot study". Please subscribe to the JNIS podcast on your favourite platform to get the latest podcast every month. If you enjoy our podcast, you can leave us a review or a comment on Apple Podcasts (https://apple.co/4aZmlpT) or Spotify (https://spoti.fi/3UKhGT5). We'd love to hear your feedback on social media - @JNIS_BMJ. (1) Department of Neurosurgery, The University of Texas Medical Branch at Galveston, Texas, USA

Can aqueductal stenosis be treated through a minimally invasive endovascular approach without transgressing brain parenchyma? In this episode, JNIS Editor-in-Chief, Dr. Michael Chen, speaks with neuro-interventional radiologist Dr. Michal Obrzut¹ about a neurointerventional approach to the management of obstructive hydrocephalus secondary to aqueductal stenosis. The author describes the underlying concept, technical feasibility in cadaveric models, and potential implications for minimally invasive neurosurgical practice. Link to the discussed paper: "A novel neurointerventional subarachnoid aqueductoplasty technique for the treatment of aqueductal stenosis: a cadaveric feasibility study"   Please subscribe to the JNIS podcast on your favourite platform to get the latest podcast every month. If you enjoy our podcast, you can leave us a review or a comment on Apple Podcasts (https://apple.co/4aZmlpT) or Spotify (https://spoti.fi/3UKhGT5). We'd love to hear your feedback on social media - @JNIS_BMJ.   (1) Neurosurgery, Cleveland Clinic Florida, Weston, Florida, USA          

Theme music by UNIVERSFIELD & background music by PodcastACMichael Chen InterviewMichael Chen's YouTube video about Nie's legacyNie WeipingChina-Japan SupermatchesShow your support hereEmail: AllThingsGoGame@gmail.comEpisode SponsorsBadukPop - Learn the rules of the ancient Chinese board game Go - also known as Baduk (바둑) or Weiqi (圍棋) - with a fun, interactive tutorial. Sharpen your Go skills with daily random Go problems (Tsumego) at your choice of difficulty level. Play games online or with a variety of AI opponents, each with its own unique playing style and strength.SmartGo One - Your complete app for the game of Go. Learn to play, practice against the computer, study master games, solve problems, and read Go books. Free to download.AI Sensei - Play Go against the strong KataGo AI, analyze your uploaded games, discuss moves with our community, and turn mistakes into Go problems.Go Magic - Interactive Courses, Go Problems, Lessons and Lectures on Go Game | Baduk | Weiqi. All you need to learn the Game of Go online.

Medical professionals can oftentimes fall under the category of "second victims", as they experience burnout and moral injury from the impacts of their work. Over the course of a neurointerventionalist's medical career, serious complications in procedures are sadly inevitable. These can be difficult to process, and there are not always the systems in place to provide the support needed, either inside or outside of the hospital. A new survey has been carried out to assess the severity and prevalence of negative psychological effects on physicians who have experienced these complications. Dr. Ansaar Rai¹ joins JNIS Editor-in-Chief Dr. Michael Chen to discuss the original research piece, "Unseen wounds: a multinational investigation of neurointerventionalists on the psychological toll of complications".  (1) Interventional Neuroradiology, West Virginia University Rockefeller Neuroscience Institute, Morgantown, West Virginia, USA Please subscribe to the JNIS podcast on your favourite platform to get the latest podcast every month. If you enjoy our podcast, you can leave us a review or a comment on Apple Podcasts (https://apple.co/4aZmlpT) or Spotify (https://spoti.fi/3UKhGT5). We'd love to hear your feedback on social media - @JNIS_BMJ.

Switching into product can feel like a one-way door, especially if you're already successful in another function. But for Michael, the path from product marketing to product management wasn't a leap of faith, it was a series of low-risk experiments, relationship-driven conversations, and intentional “spikes” he could bring to the PM role.In this episode of Supra Insider, Marc Baselga and Ben Erez sit down with Michael Chen (former PMM at LinkedIn, Slack, and Asana; now a PM at DoorDash) to break down exactly how he made the transition from marketing into product, and what made it work. They unpack the fears people don't say out loud (title cuts, failing publicly, losing social capital), why internal moves are often more about timing + business need than a single ask, and how to frame the whole process as an exploration rather than a high-stakes bet.Michael also shares how his go-to-market and storytelling background has become a real product advantage, especially in areas like pricing & packaging, subscription tiers, and helping customers “see and believe” the value before they ever click buy. If you're a PMM, marketer, or operator who wants to become a builder, or a PM who wants stronger GTM instincts - this episode is a practical blueprint.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

. Dr Donald Heck (1) and Dr Peter Kan (2) join JNIS Editor-in-Chief Dr. Michael Chen to discuss the commentary “Middle meningeal artery embolization in the routine care of chronic subdural hematoma?” by D.V. Heck et al. They highlight key debates around efficacy, safety, and workflow integration as embolization moves closer to becoming a routine therapeutic option. (1) Triad Radiology Associates, Novant Health Forsyth Medical Center, Winston Salem, North Carolina, USA (2) Neurosurgery, The University of Texas Medical Branch at Galveston, Galveston, Texas, USA   Please subscribe to the JNIS podcast on your favourite platform to get the latest podcast every month. If you enjoy our podcast, you can leave us a review or a comment on Apple Podcasts (https://apple.co/4aZmlpT) or Spotify (https://spoti.fi/3UKhGT5). We'd love to hear your feedback on social media - @JNIS_BMJ.

This Advent season, Dan Allender and Rachael Clinton Chen are joined by Rev. Dr. Michael Chen for a rich and deeply human conversation about the Trinity and what it reveals to us about God, ourselves, and our relationships with others.  Together, they explore how the mystery of one God in three persons shapes our understanding of love, relationality, and beauty—particularly in the context of Advent, when we reflect on God's incarnation and presence in the world. This episode is an invitation to pause, wonder, and engage your heart with the presence of God in this season of anticipation. The podcast will take a short break next week for the holiday, but we'll be back on December 26 with an end-of-year reflection from Dan and Becky Allender.  

Pulsatile tinnitus — the perception of a rhythmic sound in sync with the heartbeat — can be a key indicator of underlying vascular or structural pathology. In this episode, JNIS new Editor-in-Chief Dr. Michael Chen speaks with Dr. Madhavi Duvvuri and Dr. Matthew Robert Amans, authors of Non-invasive imaging modalities for diagnosing pulsatile tinnitus: a comprehensive review and recommended imaging algorithm. They are both from the University of California San Francisco, USA. They discuss the current evidence base, highlight the strengths and limitations of non-invasive imaging techniques such as MRI, MRA, CT, and CTA, and outline a practical algorithm for streamlining diagnosis.    Please subscribe to the JNIS podcast on your favourite platform to get the latest podcast every month. If you enjoy our podcast, you can leave us a review or a comment on Apple Podcasts (https://apple.co/4aZmlpT) or Spotify (https://spoti.fi/3UKhGT5). We'd love to hear your feedback on social media - @JNIS_BMJ.

For episode 545 of the BlockHash Podcast, host Brandon Zemp is joined by Michael Chen, COO of Bless while at Permissionless 4. Bless is the world’s first shared computer, turning every consumer device— laptop, desktop, and mobile phone—into participants in a massive edge compute network with over 5 million live nodes. Bless is purpose-built for real-time inference and agentic computing, featuring high performance, low latency, and dynamic scaling. ⏳ Timestamps: 0:00 | Introduction0:43 | Who is Michael Chen?6:25 | Importance of Decentralized Compute10:07 | Bless Network Ecosystem12:42 | Bless Network Mainnet12:55 | Bless Network at Permissionless14:14 | Bless Network website & socials14:32 | RAPID FIRE SESSION

Pac-West Fastener Association spring conference floor interviews and coverage, including Paul Vittori, George Martinez, Darlene Collis, Carl Spackman, Michael Chen, Jake "Valdez" Davis, Christian Reich and Steve "The Sasco Man" Dunham. PLUS: Golf tourney winners.  Run time: 27:42

Pac-West Fastener Association spring conference floor interviews and coverage, including Paul Vittori, George Martinez, Darlene Collis, Carl Spackman, Michael Chen, Jake "Valdez" Davis, Christian Reich and Steve "The Sasco Man" Dunham. PLUS: Golf tourney winners.  Run time: 27:42

Ever felt that preparing equipment for advanced airway management in your ED is ‘messy'?  In this episode Vic interviews Dr Ava Butler, an emergency doctor and QI/ simulation practitioner from rural British Columbia. We discussed her recent article about how equipment re-design and translational simulation was used to dramatically improve preparation speed and staff level of comfort with advanced airway management.  The conversation was informative and inspiring. We talked about the liberating structures process of brainstorming ideas for improvement, the role of patient partners in improvement, the hierarchy of interventions in quality improvement, and the significance of qualitative measures and stories in improvement efforts.  We marvelled at the dramatic improvements they achieved using a color-coded airway cart and translational simulation; a 76% reduction in time taken to prepare airway equipment, and significant improvements in staff comfort and team culture. EM sim cases got an honourable mention

Theme music by UNIVERSFIELD & background music by PodcastACMichael Chen's interview in the European Go JournalMa Xiaochun's The Thirty-Six Stratagems Applied to GoMichael Chen's Twitch ChannelWikipedia pages for Go professionals: Shin Jin-seo, Lee Sedol, Lee Chang-ho, Cho Chikun, Ke Jie, Gu Li, Cho Hun-hyun, & Park JungwhanUS Go CongressThe North American Go Federation which runs the professional qualification tournamentThe online Fox Go ServerThe Toronto Go Spectacular tournamentBenKyo's league and websiteShow your support hereContact: AllThingsGoGame@gmail.com

In this episode of Uncharted, Poya sits down with Dean Hsu, founder and CEO of Arphie (⁠https://www.arphie.ai⁠), an AI-driven platform that accelerates RFP and questionnaire responses. Dean shares his journey from software consulting and investing to scaling startups like Scale AI, where he learned the skills that prepared him for entrepreneurship. He discusses how personal pain points and deep market research inspired him to become a founder, as well as shares his approach to founder-led sales, building customer trust, and differentiating in a crowded AI market. Dean emphasizes the importance of choosing the right co-founder, setting realistic expectations, and staying outcome-focused. Tune in for insights on navigating startup challenges and lessons from Dean's entrepreneurial path. About our Guest: Dean Shu is the CEO and Co-Founder of Arphie (https://www.arphie.ai), a platform that streamlines the process of responding to tedious requests for proposal (RFPs), security questionnaires, and more. Arphie was born out of his prior experience in responding to these RFPs at Scale AI, where he was the General Manager of a software business unit. Prior to Scale AI, Dean invested in B2B software companies at Insight Partners, a $90B fund based in New York, and served as a consultant to tech companies at McKinsey & Company. Dean graduated from Harvard University, where he met his Arphie co-founder Michael Chen. When he's not building Arphie, Dean spends time with his wife and their Samoyed puppy. --- Support this podcast: https://podcasters.spotify.com/pod/show/uncharted1/support

Jon Chee hosts Michael Chen, the Co-Founder and CEO of Nuclera, a biotech company that focuses on bringing rapid protein access to other labs. Michael is a seasoned scientist and entrepreneur who brings a rich background and valuable insights to our podcast. Before co-founding Nuclera, Michael did extensive research as an undergrad student at both Georgia tech and Emory and eventually got his PhD in Chemistry from the University of Cambridge. He has also published nine scientific papers and worked with several leading scientists in their field.

Part 1 of 2: Jon Chee hosts our latest guest, Michael Chen, the Co-Founder and CEO of Nuclera, a biotech company that focuses on bringing rapid protein access to other labs. Michael is a seasoned scientist and entrepreneur who brings his rich background and insights to our podcast. Before becoming the Co-Founder of Nuclera, Michael did extensive research as an undergrad student at both Georgia tech and Emory and eventually got his Ph,D in Chemistry from the University of Cambridge. Having worked under some of the leading scientists in their field Michael also has 9 scientific publications to his name. His past experiences both at the lab bench and as a CEO make these episodes ones you don't want to miss.

In this episode, Rachael Clinton Chen and her husband Michael Chen dive into the importance of parenting with kindness—not just toward children, but toward ourselves. Whether you're a parent, grandparent, or caregiver, it's common for past traumas to resurface when you're feeling overwhelmed or stretched thin.  Rachael and Michael openly discuss the joys and challenges they've faced in their new marriage, blending families, raising young children, and navigating a pandemic, all of which have both triggered old wounds and offered opportunities for healing. This candid conversation is an invitation to explore how grief can be a catalyst for growth and how choosing kindness over harshness creates space for deeper connection and hope for yourself and for future generations. If you'd like to hear more on this topic, we invite you to join Rachael Clinton Chen and trauma therapist Aundi Kolber on Friday, October 4, for a live webinar, “Parenting As a Trauma Survivor.” They'll share trauma-informed insights to help you understand why parenting can be so triggering and offer practical tips for addressing your own healing while showing up for your children in the way they need most. Sign up to be part of the conversation at: theallendercenter.org/events   

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Can Generalized Adversarial Testing Enable More Rigorous LLM Safety Evals?, published by Stephen Casper on July 30, 2024 on The AI Alignment Forum. Thanks to Zora Che, Michael Chen, Andi Peng, Lev McKinney, Bilal Chughtai, Shashwat Goel, Domenic Rosati, and Rohit Gandikota. TL;DR In contrast to evaluating AI systems under normal "input-space" attacks, using "generalized," attacks, which allow an attacker to manipulate weights or activations, might be able to help us better evaluate LLMs for risks - even if they are deployed as black boxes. Here, I outline the rationale for "generalized" adversarial testing and overview current work related to it. See also prior work in Casper et al. (2024), Casper et al. (2024), and Sheshadri et al. (2024). Even when AI systems perform well in typical circumstances, they sometimes fail in adversarial/anomalous ones. This is a persistent problem. State-of-the-art AI systems tend to retain undesirable latent capabilities that can pose risks if they resurface. My favorite example of this is the most cliche one many recent papers have demonstrated diverse attack techniques that can be used to elicit instructions for making a bomb from state-of-the-art LLMs. There is an emerging consensus that, even when LLMs are fine-tuned to be harmless, they can retain latent harmful capabilities that can and do cause harm when they resurface ( Qi et al., 2024). A growing body of work on red-teaming ( Shayegani et al., 2023, Carlini et al., 2023, Geiping et al., 2024, Longpre et al., 2024), interpretability ( Juneja et al., 2022, Lubana et al., 2022, Jain et al., 2023, Patil et al., 2023, Prakash et al., 2024, Lee et al., 2024), representation editing ( Wei et al., 2024, Schwinn et al., 2024), continual learning ( Dyer et al., 2022, Cossu et al., 2022, Li et al., 2022, Scialom et al., 2022, Luo et al., 2023, Kotha et al., 2023, Shi et al., 2023, Schwarzchild et al., 2024), and fine-tuning ( Jain et al., 2023, Yang et al., 2023, Qi et al., 2023, Bhardwaj et al., 2023, Lermen et al., 2023, Zhan et al., 2023, Ji et al., 2024, Hu et al., 2024, Halawi et al., 2024) suggests that fine-tuning struggles to make fundamental changes to an LLM's inner knowledge and capabilities. For example, Jain et al. (2023) likened fine-tuning in LLMs to merely modifying a "wrapper" around a stable, general-purpose set of latent capabilities. Even if they are generally inactive, harmful latent capabilities can pose harm if they resurface due to an attack, anomaly, or post-deployment modification ( Hendrycks et al., 2021, Carlini et al., 2023). We can frame the problem as such: There are hyper-astronomically many inputs for modern LLMs (e.g. there are vastly more 20-token strings than particles in the observable universe), so we can't brute-force-search over the input space to make sure they are safe. So unless we are able to make provably safe advanced AI systems (we won't soon and probably never will), there will always be a challenge with ensuring safety - the gap between the set of failure modes that developers identify, and unforeseen ones that they don't. This is a big challenge because of the inherent unknown-unknown nature of the problem. However, it is possible to try to infer how large this gap might be. Taking a page from the safety engineering textbook -- when stakes are high, we should train and evaluate LLMs under threats that are at least as strong as, and ideally stronger than, ones that they will face in deployment. First, imagine that an LLM is going to be deployed open-source (or if it could be leaked). Then, of course, the system's safety depends on what it can be modified to do. So it should be evaluated not as a black-box but as a general asset to malicious users who might enhance it through finetuning or other means. This seems obvious, but there's preced...

What does it take for parents to nurture an athlete who wants to reach sport's pinnacle? Synopsis: The Straits Times tackles the talking points in sport every second Wednesday of the month.  The Olympics is just around the corner and come July, several Team Singapore athletes will fly the flag for the Republic in Paris. Two of them, kitefoiler Maximilian Maeder and Singapore kayaker Stephenie Chen will make their Olympics debut.  Beyond their individual hustle to get to sports' grandest stage, Maeder's and Chen's journey to the Olympics has been helped by their families' relentless support. In this episode, Maximilian's parents Valentin Maeder and Hwee Keng and Michael Chen and Sarah-Yvonne, parents of Stephenie, join sports reporter Deepanraj Ganesan to talk about how they have supported their children's aspirations.  Highlights (click/tap above): 2:00 Did Maximilian Maeder's and Stephenie Chen's parents have sporting backgrounds that influenced their kids?   13:10 Is there a point in which parents build a roadmap to sporting success?   17:40 Why is there a need to trust the experts and coaches as opposed to intervening?  21:12 Making sacrifices for your children when they pursue sports  26:28 Why parents should be a safe space for their children who pursue sports  35:00 Reacting to naysayers who say there is no future in sports Read: https://str.sg/DMK2 Produced by: Deepanraj Ganesan (gdeepan@sph.com.sg), Eden Soh and Amirul Karim  Edited by: Amirul Karim  Follow Hard Tackle every month here and get notified for new episode drops: Channel: https://str.sg/JWRE Apple Podcasts: https://str.sg/JWRa Spotify: https://str.sg/JW6N SPH Awedio app: https://www.awedio.sg/ Website: http://str.sg/stpodcasts Feedback to: podcast@sph.com.sg Follow Deepanraj Ganesan on X: https://str.sg/wtra Read his articles: https://str.sg/ip4G Catch visual snippets of the podcast from ST's sports Instagram page: https://str.sg/vn2F --- Discover more ST podcast channels: All-in-one ST Podcasts channel: https://str.sg/wvz7  The Usual Place: https://str.sg/wEr7u COE Watch: https://str.sg/iTtE Asian Insider: https://str.sg/JWa7 Health Check: https://str.sg/JWaN Green Pulse: https://str.sg/JWaf Your Money & Career: https://str.sg/wB2m Hard Tackle: https://str.sg/JWRE #PopVultures: https://str.sg/JWad Music Lab: https://str.sg/w9TX --- ST Podcast website: http://str.sg/stpodcasts ST Podcasts YouTube: https://str.sg/4Vwsa --- Special edition series: True Crimes Of Asia (6 eps): https://str.sg/i44T The Unsolved Mysteries of South-east Asia (5 eps): https://str.sg/wuZ2 Invisible Asia (9 eps): https://str.sg/wuZn Stop Scams (10 eps): https://str.sg/wuZB Singapore's War On Covid (5 eps): https://str.sg/wuJa --- Get The Straits Times' app, which has a dedicated podcast player section: The App Store: https://str.sg/icyB Google Play: https://str.sg/icyX #hardtackleSee omnystudio.com/listener for privacy information.

What does it take for parents to nurture an athlete who wants to reach sport's pinnacle? Synopsis: The Straits Times tackles the talking points in sport every second Wednesday of the month.  The Olympics is just around the corner and come July, several Team Singapore athletes will fly the flag for the Republic in Paris. Two of them, kitefoiler Maximilian Maeder and Singapore kayaker Stephenie Chen will make their Olympics debut.  Beyond their individual hustle to get to sports' grandest stage, Maeder's and Chen's journey to the Olympics has been helped by their families' relentless support. In this episode, Maximilian's parents Valentin Maeder and Hwee Keng and Michael Chen and Sarah-Yvonne, parents of Stephenie, join sports reporter Deepanraj Ganesan to talk about how they have supported their children's aspirations.  Highlights (click/tap above): 2:00 Did Maximilian Maeder's and Stephenie Chen's parents have sporting backgrounds that influenced their kids?   13:10 Is there a point in which parents build a roadmap to sporting success?   17:40 Why is there a need to trust the experts and coaches as opposed to intervening?  21:12 Making sacrifices for your children when they pursue sports  26:28 Why parents should be a safe space for their children who pursue sports  35:00 Reacting to naysayers who say there is no future in sports Read: https://str.sg/DMK2 Produced by: Deepanraj Ganesan (gdeepan@sph.com.sg), Eden Soh and Amirul Karim  Edited by: Amirul Karim  Follow Hard Tackle every month here and get notified for new episode drops: Channel: https://str.sg/JWRE Apple Podcasts: https://str.sg/JWRa Spotify: https://str.sg/JW6N SPH Awedio app: https://www.awedio.sg/ Website: http://str.sg/stpodcasts Feedback to: podcast@sph.com.sg Follow Deepanraj Ganesan on X: https://str.sg/wtra Read his articles: https://str.sg/ip4G Catch visual snippets of the podcast from ST's sports Instagram page: https://str.sg/vn2F --- Discover more ST podcast channels: All-in-one ST Podcasts channel: https://str.sg/wvz7  The Usual Place: https://str.sg/wEr7u COE Watch: https://str.sg/iTtE Asian Insider: https://str.sg/JWa7 Health Check: https://str.sg/JWaN Green Pulse: https://str.sg/JWaf Your Money & Career: https://str.sg/wB2m Hard Tackle: https://str.sg/JWRE #PopVultures: https://str.sg/JWad Music Lab: https://str.sg/w9TX --- ST Podcast website: http://str.sg/stpodcasts ST Podcasts YouTube: https://str.sg/4Vwsa --- Special edition series: True Crimes Of Asia (6 eps): https://str.sg/i44T The Unsolved Mysteries of South-east Asia (5 eps): https://str.sg/wuZ2 Invisible Asia (9 eps): https://str.sg/wuZn Stop Scams (10 eps): https://str.sg/wuZB Singapore's War On Covid (5 eps): https://str.sg/wuJa --- Get The Straits Times' app, which has a dedicated podcast player section: The App Store: https://str.sg/icyB Google Play: https://str.sg/icyX #hardtackleSee omnystudio.com/listener for privacy information.

0:00 Intros 2:20 Top 3 played decks 8:30 Lugia VSTAR 16:30 Raging Bolt ex 22:00 Gardevoir 29:00 Dragapult 41:00 Snorlax stall 45:00 Best Hands deck Ian: https://x.com/Ian__Robb Michael: https://x.com/Oupas327 Christian: https://x.com/SticksPTCG Emma: https://x.com/Littlesislatias Twitter: https://twitter.com/Mellow_Magikarp Podcast: https://twitter.com/LakeOfRagepod Discord: https://discord.gg/SmbccF55xZ Twitch: https://www.twitch.tv/mellow_magikarp Sponsor: https://www.tabletopvillage.com/ Code: Mellow5 for 10% off Sponsor: https://tcevolutions.com/ Code: lake10 Merch: https://www.doomed-gaming.com/ Code: Lake for 10% off Sleeves: https://thechampionsreserve.com/shop Code: lake15

In the seventh episode of the Kiln Rendez-Vous podcast, Edgar Roth and Loïc Titren from Kiln host Michael Chen, the Co-founder of Blockless. Blockless is an infrastructure platform for launching, integrating, and securing Network Neutral Applications (nnApps). They delve into the genesis of Blockless and the collaborative efforts of its co-founders. Michael sheds light on the wide array of applications possible on Blockless, ranging from AI-powered self-evolving games to community-powered edge inference networks.

The Gwinnett Chamber of Commerce celebrated the community's global business scene with the annual Multi-Chamber Mixer at After Hours on November 1, 2023. Nearly 400 attendees from different nationalities, cultural backgrounds, and organizations came together to recognize the vibrant and diverse business community in Metro Atlanta's fastest-growing county. The event allowed attendees to interact with […] The post 2023 Gwinnett Chamber Multi-Chamber Mixer at After Hours appeared first on Business RadioX ®.

This week Jake and Chuck welcome Michael Chen on the cast fresh off his top 8 finish at Pittsburgh. We dicuss the potential of 151, new TMs and Pace of play woes. Michael's Twitter @oupas327 --- Support this podcast: https://podcasters.spotify.com/pod/show/3xppodcast/support

Ruth 1-4

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: AI Deception: A Survey of Examples, Risks, and Potential Solutions, published by Simon Goldstein on August 29, 2023 on The AI Alignment Forum. By Peter S. Park, Simon Goldstein, Aidan O'Gara, Michael Chen, and Dan Hendrycks [This post summarizes our new report on AI deception, available here] Abstract: This paper argues that a range of current AI systems have learned how to deceive humans. We define deception as the systematic inducement of false beliefs in the pursuit of some outcome other than the truth. We first survey empirical examples of AI deception, discussing both special-use AI systems (including Meta's CICERO) built for specific competitive situations, and general-purpose AI systems (such as large language models). Next, we detail several risks from AI deception, such as fraud, election tampering, and losing control of AI systems. Finally, we outline several potential solutions to the problems posed by AI deception: first, regulatory frameworks should subject AI systems that are capable of deception to robust risk-assessment requirements; second, policymakers should implement bot-or-not laws; and finally, policymakers should prioritize the funding of relevant research, including tools to detect AI deception and to make AI systems less deceptive. Policymakers, researchers, and the broader public should work proactively to prevent AI deception from destabilizing the shared foundations of our society. New AI systems display a wide range of capabilities, some of which create risk. Shevlane et al. (2023) draw attention to a suite of potential dangerous capabilities of AI systems, including cyber-offense, political strategy, weapons acquisition, and long-term planning. Among these dangerous capabilities is deception. This report surveys the current state of AI deception. We define deception as the systematic production of false beliefs in others as a means to accomplish some outcome other than the truth. This definition does not require that the deceptive AI systems literally have beliefs and goals. Instead, it focuses on the question of whether AI systems engage in regular patterns of behavior that tend towards the creation of false beliefs in users, and focuses on cases where this pattern is the result of AI systems optimizing for a different outcome than merely producing truth. For the purposes of mitigating risk, we believe that the relevant question is whether AI systems engage in behavior that would be treated as deceptive if demonstrated by a human being. (In the paper's appendix, we consider in greater detail whether the deceptive behavior of AI systems is best understood in terms of beliefs and goals.) In short, our conclusion is that a range of different AI systems have learned how to deceive others. We examine how this capability poses significant risks. We also argue that there are several important steps that policymakers and AI researchers can take today to regulate, detect, and prevent AI systems that engage in deception. Empirical Survey of AI Deception We begin with a survey of existing empirical studies of deception. We identify over a dozen AI systems that have successfully learned how to deceive human users. We discuss two different kinds of AI systems: special-use systems designed with reinforcement learning, and general-purpose technologies like Large Language Models (LLMs). Special Use AI Systems We begin our survey by considering special use systems. Here, our focus is mainly on reinforcement learning systems trained to win competitive games with a social element. We document a rich variety of cases in which AI systems have learned how to deceive, including: Manipulation. Meta developed the AI system CICERO to play the alliance-building and world-conquest game Diplomacy. Meta's intentions were to train Cicero to be "largely honest and hel...

In relationships, there are conflicts that cannot be resolved with a clear “right” or “wrong.” In fact, the Gottman Institute's research cites that nearly 70% of relationship conflicts are unresolvable. Earlier this year, Dan and Becky Allender talked through unresolvable conflicts from their perspective of over four decades of marriage. Now, we're revisiting the topic with our other co-host, Rachael Clinton Chen, and her husband Michael Chen, who have been married since 2019. Rachael and Michael explore the complexities of unresolvable conflicts in marriage and share their personal insights about navigating these challenging situations. They both emphasize the importance of story work and how it's given them a common ground to understand and engage how they're feeling. They also highlight the importance of returning to one another after the moment to engage those difficult conversations. In doing so, progress can be made, even if it's not immediate or exactly how either of you would envision it.  Rachael concludes the conversation by pointing out, “It's not by avoiding conflict or sidestepping it or somehow finding a way around it. It's actually often in the heart of the irresolvable tension that I think the Spirit is making something new. And that really can only be the work of the gospel.”   Listener Resources: Listen to the episode, “Unresolvable Conflict” with Dan and Becky Allender Learn more about the Marriage Conference, happening this October 13-14 in Park City Utah Discover more marriage offerings from the Allender Center, including our Marriage Online Course * Source: The Seven Principles for Making Marriage Work by John M. Gottman, PhD and Nan Silver, 2015  

This week, we talk to New Canaan resident Michael Chen. Known on the pickleball courts at Mead Park as “Hammer Mike,” he's a co-founder of the rapidly growing National Pickleball League.

En el programa de ayer Mauricio y Daniel conversaron sobre el proyecto de extracción de arena en Portobelo junto con el presidente de la Cámara de Comercio de Colón, Michael Chen.

This season on Step by Step, we are asking what does “seamless” mean to my eCommerce business and how do I demystify that in a way that helps me select the right solutions and softwares that make a seamless experience come to life? Join us as we hear from Michael Chen, Director of eCommerce Operations at Sugarfina, to break down the term “single handshake” and look more closely at consolidation of operations in your eCommerce business. Listen now!In this episode:{0:08:20} - “From the backend side, there are a lot of softwares we have to use to eliminate all the friction points from the time {consumers} find the website and go on the website to check out and pay. That should be really, really smooth.” - Michael{0:14:32} - “Right now everything is in Magento. We have Adobe Live Search, we have Product Recommendations, and everything is working in one place. So I don't have to go to different places, which save a lot of time and headache.” - Michael{0:16:01} - “Saving money is an important thing, but I would look at it as is the software actually better. If you're going to consolidate, is it actually better for the business? There are a lot of factors, so I wouldn't say saving money is the most important thing. There's a lot of research you have to do.” - Michael{0:18:32} - “To extract the most amount of value from any piece of software requires an intimate understanding and time spent in using the software, and the hard things become easy over time. So you grow into these capabilities. You don't just turn it on on day one.” - Phillip{0:23:51} - “You have to be focused on forward progress and continual improvement because your competitors are, and if they're doing it, you have to be more efficient and more optimized.” - MichaelAssociated Links:Learn more about Michael Chen and Sugarfina.Listen to more Step by Step episodes.Have you checked out our YouTube channel yet?Get your copy of Archetypes, our recently published 240-page journal! Check it out at ArchetypesJournal.comSubscribe to Insiders and The Senses to read more of what we are witnessing in the commerce world! Listen to our other episodes of Future CommerceHave any questions or comments about the show? Let us know on Futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners!

你們是不是沒想過我會回來!? 重啟連載還請大家繼續支持，這次我會更持久。 如果忘記我之前的故事，我是不反對大家再重頭聽一次啦

In this podcast, JNIS Editor-in-Chief, Dr. Felipe C. Albuquerque, speaks with Dr. Krishna C. Joshi(1) and Dr. Michael Chen(2) about their paper "Endovascular thrombectomy for acute ischemic stroke in patients with cancer: a propensity-matched analysis" - https://jnis.bmj.com/content/14/12/1161. Please subscribe to the JNIS Podcast via all podcast platforms, including Apple Podcasts, Google Podcasts, Stitcher and Spotify, to get the latest episodes. Also, please consider leaving us a review or a comment on the JNIS Podcast iTunes page: https://podcasts.apple.com/gb/podcast/jnis-podcast/id942473767 Thank you for listening! This episode was edited by Brian O'Toole. (1) Neurological Surgery, Rush University Medical Center, Chicago (2) Neurological Surgery, Rush University Medical Center, Chicago

Today on the Mountain Life, Lynn Ware Peek and David Wintzer's guests include: (01:42) Dr. Michael Chen, a new OB/GYN at Intermountain Park City Hospital. Then (28:26) Author and Rabbi Steve Leder joins the Mountain Life to discuss his new book For You When I Am Gone.

Hosted by Debbie Millman with Michael Chen, Principal of Michael K. Chen Architecture and Co-Founder of Design Advocates, and Walei Sabry, Digital Accessibility of NYC Department of Information Technology and Telecommunication, this conversation focuses on issues around inclusive design and innovative design strategies that can reshape the way we navigate our city. 

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Introduction to Pragmatic AI Safety [Pragmatic AI Safety #1], published by Dan Hendrycks on May 9, 2022 on The AI Alignment Forum. This is the introduction to a sequence of posts that describe our models for Pragmatic AI Safety. Thanks to Oliver Zhang, Mantas Mazeika, Scott Emmons, Neel Nanda, Cameron Berg, and Michael Chen for feedback on this sequence. Machine learning has been outpacing safety. Ten years ago, AlexNet pushed the boundaries of machine learning, and it was trained using only two GPUs. Now state-of-the-art models are trained on thousands of GPUs. GPT-2 was released only around three years ago, and today, we have models capable of answering bar exam questions, writing code, and explaining jokes. Meanwhile, existing approaches to AI safety have not seen similar strides. Many older approaches are still pre-paradigmatic, uncertain about what concrete research directions should be pursued and still aiming to get their bearings. Centered on math and theory, this research focuses on studying strictly futuristic risks that result from potential systems. Unfortunately, not much progress has been made, and deep learning resists the precise and universal mathematical characterizations preferred by some safety approaches. Recently, some established safety teams have focused more on safety in the context of deep learning systems, which has the benefit of being more concrete and having faster experimental feedback loops. However, many approaches often exhibit the downside of blurring the lines between general capabilities research and safety, as there appear to be few other options. Finally, neither the pre-paradigmatic nor industry deep learning-based approaches seriously emphasize the broad range of sociotechnical factors that are critical for reducing risk from AI systems. Given that ML is progressing quickly, that pre-paradigmatic research is not highly scalable to many researchers, and that safety research that advances capabilities is not safely scalable to a broader research community, we suggest an approach that some of us have been developing in academia over the past several years. We propose a simple, underrated, and complementary research paradigm, which we call Pragmatic AI Safety (PAIS). By complementary, we mean that we intend for it to stand alongside current approaches, rather than replace them. Pragmatic AI Safety rests on three essential pillars: ML research precedents. Safety involves technical AI problems, and the ML community's precedents enable it to be unusually effective at solving technical AI problems. Minimal capabilities externalities. Safety research at scale needs to be precautious and avoid advancing capabilities in the name of safety. Sociotechnical systems view. Preventing catastrophes requires more than technical work, such as improving incentives, safety culture, protocols, and so on. ML Research Precedents Despite relying on “broken” processes like conferences and citations, the ML community has managed to solve an increasingly general set of problems: colorizing images, protein folding, superhuman poker, art generation, etc. This doesn't mean that the ML community is set up optimally (we will discuss ways in which it's not), but it does consistently exceed our expectations and demonstrate the best track record in solving technical AI problems. In general, ML researchers are skilled at adding arbitrary features to systems to improve capabilities, and many aspects of safety could be operationalized so as to be similarly improved. This property makes ML research precedents promising for solving technical ML problems, including many safety problems. Here are some ML research precedents that we view as important: Long term goals are broken down into empirical simplified microcosmic problems Subproblems can be worked on iteratively, ...

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Introduction to Pragmatic AI Safety [Pragmatic AI Safety #1], published by ThomasWoodside on May 9, 2022 on The Effective Altruism Forum. This is the introduction to a sequence of posts that describe our models for Pragmatic AI Safety. Thanks to Oliver Zhang, Mantas Mazeika, Scott Emmons, Neel Nanda, Cameron Berg, and Michael Chen for feedback on this sequence. Machine learning has been outpacing safety. Ten years ago, AlexNet pushed the boundaries of machine learning, and it was trained using only two GPUs. Now state-of-the-art models are trained on thousands of GPUs. GPT-2 was released only around three years ago, and today, we have models capable of answering bar exam questions, writing code, and explaining jokes. Meanwhile, existing approaches to AI safety have not seen similar strides. Many older approaches are still pre-paradigmatic, uncertain about what concrete research directions should be pursued and still aiming to get their bearings. Centered on math and theory, this research focuses on studying strictly futuristic risks that result from potential systems. Unfortunately, not much progress has been made, and deep learning resists the precise and universal mathematical characterizations preferred by some safety approaches. Recently, some established safety teams have focused more on safety in the context of deep learning systems, which has the benefit of being more concrete and having faster experimental feedback loops. However, many approaches often exhibit the downside of blurring the lines between general capabilities research and safety, as there appear to be few other options. Finally, neither the pre-paradigmatic nor industry deep learning-based approaches seriously emphasize the broad range of sociotechnical factors that are critical for reducing risk from AI systems. Given that ML is progressing quickly, that pre-paradigmatic research is not highly scalable to many researchers, and that safety research that advances capabilities is not safely scalable to a broader research community, we suggest an approach that some of us have been developing in academia over the past several years. We propose a simple, underrated, and complementary research paradigm, which we call Pragmatic AI Safety (PAIS). By complementary, we mean that we intend for it to stand alongside current approaches, rather than replace them. Pragmatic AI Safety rests on three essential pillars: ML research precedents. Safety involves technical AI problems, and the ML community's precedents enable it to be unusually effective at solving technical AI problems. Minimal capabilities externalities. Safety research at scale needs to be precautious and avoid advancing capabilities in the name of safety. Sociotechnical systems view. Preventing catastrophes requires more than technical work, such as improving incentives, safety culture, protocols, and so on. ML Research Precedents Despite relying on “broken” processes like conferences and citations, the ML community has managed to solve an increasingly general set of problems: colorizing images, protein folding, superhuman poker, art generation, etc. This doesn't mean that the ML community is set up optimally (we will discuss ways in which it's not), but it does consistently exceed our expectations and demonstrate the best track record in solving technical AI problems. In general, ML researchers are skilled at adding arbitrary features to systems to improve capabilities, and many aspects of safety could be operationalized so as to be similarly improved. This property makes ML research precedents promising for solving technical ML problems, including many safety problems. Here are some ML research precedents that we view as important: Long term goals are broken down into empirical simplified microcosmic problems Subproblems can be worked on iterat...

What is Success as a Software Engineer? - Michael Chen Why do we do what we do? For some, it's the financial motivation. For others, it's the recognition and social status. Mike's journey to software development is unique, but what's more compelling is figuring out the why behind the decisions he's made. Join me in my conversation with Mike Chen, who shares his early days before coding existed, his motivation in climbing the corporate ladder, and giving that up to work on something more meaningful to him. On today's show, we talk about how Mike Chen went from a Research Associate, quit that path, learned Java programming through books, and eventually became a CTO in the Bay Area.

The Prez Paul Podcast changemaker series continues with professors Michael Chen and Lauren Brooks, along with research assistant Tatianna Trojnor-Hill '21, sharing their health policy research on COVID-19. They received a data access award from the Robert Wood Johnson Foundation to examine racial/ethnic disparities in access to laboratory testing and outcomes among more than 2 million patients across the U.S. They also found that geography and state-level political affiliations can predict individuals' risk of testing positive for COVID-19.  Guests on the podcast: Michael Chen is an assistant professor in the Department of Nursing and Public Health. He received a bachelor's degree in economics and public health from Brown University and a Ph.D. in health services research and policy from the University of Rochester. Michael's research interests include maternal and child health, father involvement, and the development of theory-based explanations to inform health practice and public policy. Michael was born in Taiwan, grew up in Toronto, and has lived in Rochester since 2010. Lauren Brooks is an assistant professor in the Department of Chemistry and Biochemistry, primarily teaching courses in clinical laboratory science. She received degrees in biochemistry, biological sciences, and chemistry from Virginia Tech, a Ph.D. in microbiology and immunology from the University of Rochester, and completed her internship for clinical laboratory science at Rochester Regional Health. Lauren worked in the Serology and Microbiology clinical laboratory at the University of Rochester Central Labs before joining Nazareth full time. She was born and raised in the Washington, D.C. area and has lived in Rochester since 2009. Tatianna Trojnor-Hill graduated from Nazareth College in the spring of 2021 with a bachelor's degree in Public Health and International Studies. She currently works as a project associate with JSI Research & Training Inc. and will be moving to New Hampshire for work at the end of this year. Tatianna's interests include nutrition, food accessibility, and global health. She was born and raised in central New York and has lived in Rochester since 2017.

Guest Info Name of Guest: Simone Pomposi Name of Project: Fantom Blockchain Twitter URL of Guest: https://twitter.com/theotherpomp Project Twitter URL: https://twitter.com/FantomFDN Project URL: https://fantom.foundation/ Project/Guest Description: Simone is the CMO for Fantom Why they are a guest: Fantom is a fast, high-throughput open-source smart contract platform for digital assets and dApps. ## Show Notes Background: 20 years in advertising Commercial and art Phillips auction house Creative production Worked at Ferrari Photographer What it is like being a CMO of a crypto project. Andre Cronje - yearn Speaking in 2017 at iota, holochain event with Fantom Involved at beginning as advisor A few months later her became heavily involved Core team members with Michael Chen and Chong Co-authored consensys DeFi at early stages Andre Why is Fantom's community so passionate? Born in bear market People invested and then helped to grow it Originally created in Korea Just a few months after the sale Consensus mechanism Gaming is a big focus upcoming for Fantom and they are seeing more and more game devs coming to them. How got into crypto: 2013 Co-worker - Mark Talked about bitcoin Tech background Bought on coinbase Michael Chen CMP Joined Fantom community early Meetup in NYC Andre Cronje How involved is Andre? Not hard core developing. Author of the consensys mechanism Major decision maker Artium. Michael Kong CEO What is powerful about Fantom? 1 second Use case - Reaper.farm Auto compounding vaults How do people fund apps on Fantom Recruiting developers Tech vs users Austin - Community members FTM alerts Projects.fantom.network Lets talk about community management and building. It can be a great time, but it can be difficult Loot Fantom build apps/games Real world applications Afghanistan ERP systems CBDC talks Pharmacy meds are counterfeit or not Check it Minister of health of afghanistan Reaper.farm Spooky Smooth --- Support this podcast: https://anchor.fm/missiondefi/support

If you’re looking for an informed, thoughtful discussion on international tax policy, this episode is for you. We are lucky to have two experienced experts, Linda Pfatteicher, Partner at Dentons in San Francisco and Michael Chen, West Coast Regional Managing Director at True Partners Consulting, share their thoughts on the volatile state of tax policy, the proposed changes to the international tax rules and what it all means for U.S. and non-U.S. multinational corporations. Don’t miss this one! Associate Producer and Editor: Anthony Bielby