Podcasts about learning machines

Invest Like the Best: Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- My guest today is Alex Sacerdote, founder of Whale Rock Capital Management.  Whale Rock is a technology focused investment firm that manages more than $17 billion across hedge fund, long only, and hybrid strategies. Over the past three years it has been one of the best performing hedge funds, compounding at roughly 44 percent a year. Alex invests through a single lens that he has refined over twenty years. He looks for technology S-curves, durable competitive advantages, and underappreciated earnings power.  This conversation is a tour through how he applies that framework right now. We start with his highest conviction position, which is Anthropic, and use it to work through the entire AI stack from chips to models to applications.  Please enjoy my conversation with Alex Sacerdote. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps: (00:00:00) Welcome to Invest Like The Best (00:00:00) Welcome to Invest Like The Best (00:02:29) Alex Sacerdote (00:03:08) Anthropic: Highest Conviction Position (00:13:23) Investing in Private Markets at Scale (00:19:08) S-Curves: The Full Framework (00:25:08) When to Buy Tech Companies (00:30:20) Identifying the Leader from the Pack (00:34:04) Anthropic & OpenAI's Competitive Moats (00:37:31) AI's Threat to Enterprise Software (00:43:18) Network Effects in the Agent Era (00:44:22) The Hardware Renaissance: Chips & Infrastructure (00:53:56) Why So Few Investors Get This Right (00:55:36) Key Risks to the AI Bull Case (00:57:47) The Application Layer (00:59:40) How AI Is Changing Research at WhaleRock (01:02:53) The Role of Investor Networks & Idea Sharing (01:03:40) Building a Multi-Product Firm (01:07:58) WhaleRock as a Learning Machine (01:09:15) The Kindest Thing

My guest today is Alex Sacerdote, founder of Whale Rock Capital Management.  Whale Rock is a technology focused investment firm that manages more than $17 billion across hedge fund, long only, and hybrid strategies. Over the past three years it has been one of the best performing hedge funds, compounding at roughly 44 percent a year. Alex invests through a single lens that he has refined over twenty years. He looks for technology S-curves, durable competitive advantages, and underappreciated earnings power.  This conversation is a tour through how he applies that framework right now. We start with his highest conviction position, which is Anthropic, and use it to work through the entire AI stack from chips to models to applications.  Please enjoy my conversation with Alex Sacerdote. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps: (00:00:00) Welcome to Invest Like The Best (00:00:00) Welcome to Invest Like The Best (00:02:29) Alex Sacerdote (00:03:08) Anthropic: Highest Conviction Position (00:13:23) Investing in Private Markets at Scale (00:19:08) S-Curves: The Full Framework (00:25:08) When to Buy Tech Companies (00:30:20) Identifying the Leader from the Pack (00:34:04) Anthropic & OpenAI's Competitive Moats (00:37:31) AI's Threat to Enterprise Software (00:43:18) Network Effects in the Agent Era (00:44:22) The Hardware Renaissance: Chips & Infrastructure (00:53:56) Why So Few Investors Get This Right (00:55:36) Key Risks to the AI Bull Case (00:57:47) The Application Layer (00:59:40) How AI Is Changing Research at WhaleRock (01:02:53) The Role of Investor Networks & Idea Sharing (01:03:40) Building a Multi-Product Firm (01:07:58) WhaleRock as a Learning Machine (01:09:15) The Kindest Thing

In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Basic Books, 2018), Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible. Pedro Domingos is a professor emeritus of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award, the highest honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle. Gregory McNiff is a Managing Director in the New York office of the Blueshirt Group, an IR firm focused on technology; he has a strong interest in literature, culture, religion, science and philosophy (translation: he's an eclectic reader who is constantly missing deadlines for book review). Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Basic Books, 2018), Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible. Pedro Domingos is a professor emeritus of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award, the highest honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle. Gregory McNiff is a Managing Director in the New York office of the Blueshirt Group, an IR firm focused on technology; he has a strong interest in literature, culture, religion, science and philosophy (translation: he's an eclectic reader who is constantly missing deadlines for book review). Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science

In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Basic Books, 2018), Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible. Pedro Domingos is a professor emeritus of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award, the highest honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle. Gregory McNiff is a Managing Director in the New York office of the Blueshirt Group, an IR firm focused on technology; he has a strong interest in literature, culture, religion, science and philosophy (translation: he's an eclectic reader who is constantly missing deadlines for book review). Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Basic Books, 2018), Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible. Pedro Domingos is a professor emeritus of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award, the highest honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle. Gregory McNiff is a Managing Director in the New York office of the Blueshirt Group, an IR firm focused on technology; he has a strong interest in literature, culture, religion, science and philosophy (translation: he's an eclectic reader who is constantly missing deadlines for book review). Learn more about your ad choices. Visit megaphone.fm/adchoices

In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Basic Books, 2018), Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible. Pedro Domingos is a professor emeritus of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award, the highest honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle. Gregory McNiff is a Managing Director in the New York office of the Blueshirt Group, an IR firm focused on technology; he has a strong interest in literature, culture, religion, science and philosophy (translation: he's an eclectic reader who is constantly missing deadlines for book review). Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Here's an update on Google's Gemini Flash 3.5 (bad name) and how it impacts the enterprise market, an update on Google AI in Search, and an update on the HR 2030 architecture coming out at Irresistible. I also want to thank you as a listener, we discovered that this podcast now reaches 4 million HR and business professionals around the world. I take that responsibility very seriously and we all work very hard to avoid advertisements or any kind of “blind opinions” in this format. You do get all my and our perspectives of course and I encourage you to get Galileo, our amazing AI platform, which serves as “me” – you can ask it any question and it answers, guides you, and helps you learn and solve problems. By the way we're going to be demonstrating some groundbreaking new Galileo capabilities at Irresistible, including the ability to load your entire company model. This means you can model a reorganization, redeployment, upskilling, flattening, or AI transformation for your team, business, or company – even looking at pay inequities and more. Those of you coming will see this in action. (Galileo Suite is only $79 a month or $795 a year.) The “bag of doorknobs” phrase is one I learned as a software guy, it refers to the mess we create when we buy 140 employee systems and then add 500 new agents without an architectural strategy. Additional Information AI Prices Are Going Up, Up, Up – And What This Means For Enterprise AI HR 2030: The Vision for Agentic HR Hits Reality Get Galileo, The Everything HR AI Ready For You   Chapters (00:00:00) - Google Conference 2017: A Preview(00:00:28) - Google's AI Moves to the Enterprise(00:03:33) - Galileo HR 2030: The Future of Learning Machines(00:05:05) - How to Prepare for HR 2030 with the New Technology(00:10:38) - The IT Infrastructure of AI(00:12:23) - App Store Integration: Real or a Scam?(00:13:58) - Will AI Make Your Life Easier?

New cross-species findings may help settle a long-standing debate about whether the hippocampus is required for passive learning.

Ever walked out of a dance lesson feeling confident, only to forget the choreography later? Join The Dancing Housewife as she debunks myths about adult learning and provides a structured approach to mastering ballroom dancing through her 'Learning Machine' framework. Discover how adults can excel at learning choreography by focusing on input, processing, quality practice, and consolidation. Plus, get details about joining her virtual Group Mental Performance Training session to dive deeper. Tune in for practical tips and strategies to transform your dance journey! Ready to turn the Learning Machine Framework into action? Grab a spot in this week's virtual group mental performance training for ballroom dancers.When: Wednesday, January 7 @ 8pm eastern timeVisit https://antoinettedatoc.com/ballroom-dance-group-training/ for more information and to grab your spot!00:00 Introduction: The Struggle with Choreography00:31 Welcome to the Dancing Housewife Podcast01:26 The Myth of Age and Learning02:22 The Learning Machine Framework02:32 Input: Decoding Choreography03:04 Process: Naming and Organizing Steps03:51 Output: Quality Over Quantity04:56 Consolidation: Building Muscle Memory05:19 Embracing Your Advantage as an Older Dancer05:39 Homework and Final Thoughts06:22 Invitation to the Learning Machine Session07:40 Conclusion and Call to Action

Eric Bowman (CTO @ King.com, previously CTO at TomTom and VP Engineering at Zalando) returns to the alphalist podcast to unpack what “agentic engineering” really means in practice—and how to introduce it to teams without turning it into a mandate. We talk about the uncomfortable trade-offs behind “YOLO mode” tooling, why adoption should feel voluntary even when you set explicit goals (like “five AI-assisted commits” as a company-level key result), and why the real opportunity isn't just faster coding—it's building a learning system that relentlessly reduces time-to-learning and time-to-value. The conversation spans practical rollout patterns, DORA/value-stream thinking, Toyota's Andon-cord mindset applied to software, multi-agent decision support with MCP, and why the CTO role may keep converging with product as AI pushes organizations to optimize for iteration speed over output volume.

Send us a textThis week on the ole pod john: Not looking for stepping stones, how to rise in life, and a 68 yard field goal. Support the showThanks for listening! Listen, rate, subscribe and other marketing type slogans! Here's my Insta: @dannypalmernyc @thedannypalmershow@blackcatcomedy (NYC stand-up show every Friday at 9 pm. 172 Rivington St.) And subscribe to my Patreon? Maybe? If you know how to? I don't know how it works. Let's just leave this thing be: https://www.patreon.com/thedannypalmershow

Why we learn the most when we accept that we might be wrong.Effective communication isn't about having all the answers. As Astro Teller knows, it's about finding (and sometimes fumbling) your way through the questions.Teller is a computer scientist, entrepreneur, and inventor who serves as Captain of Moonshots at X, Alphabet's Moonshot Factory. In his work leading teams toward audacious solutions to seemingly unsolvable problems, he embraces what he calls “a learning journey,” where being wrong isn't the end, but the beginning. “As scary as it is to be wrong,” he says, it's a necessary part of the discovery process. Whether experimenting in the lab or testing our thoughts and opinions in conversation with others, it's about having the humility and curiosity to face the limits of our understanding. “When do you learn something? You learn something when you have a model about the world, and then you get some data that tells you you're wrong,” he says. “You learn nothing when you're right.”In this episode of Think Fast, Talk Smart, Teller and host Matt Abrahams discuss how embracing uncertainty drives innovation, why leaders should reward learning habits over outcomes, and how we learn the most when we're not afraid to find that we might be wrong.To listen to the extended Deep Thinks version of this episode, please visit FasterSmarter.io/premium.Episode Reference Links:Astro TellerAstro's Book: Sacred Cows Ep.70 Ideas Fuel Innovation: Why Your First Ideas Aren't Always the Best Ep.20 Question Your Questions: How to Spark Creativity in Your Communication Connect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedInChapters:(00:00) - Introduction (02:18) - Defining a Moonshot (04:21) - Building a Learning Machine (07:00) - Learning vs. Productivity (08:35) - Capturing and Sharing Learning (10:49) - Rewarding Habits, Not Outcomes (13:17) - Moonshot Success Stories (16:16) - The Power of Storytelling in Innovation (17:46) - Launching The Moonshot Podcast (19:37) - The Final Three Questions (25:27) - Conclusion  ********Thank you to our sponsors.  These partnerships support the ongoing production of the podcast, allowing us to bring it to you at no cost.This episode is brought to you by Babbel. Think Fast Talk Smart listeners can get started on your language learning journey today- visit Babbel.com/Thinkfast and get up to 55% off your Babbel subscription.Support Think Fast Talk Smart by joining TFTS Premium.   

Imagine mastering new dance figures effortlessly, remembering every combination, and performing them smoothly without hesitation. It may sound impossible, but itisn't. In this episode, discover how to transform into a learning machine and elevate your dance skills.If you're enjoying The Dancing Housewife let us know! Leave a comment or review and subscribe on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ApplePodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or your favorite platform and follow us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and join ⁠⁠The Dancing Housewife FanClub on Facebook ⁠⁠so you never miss an episode! Anddon't forget to visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Dancing Housewife Blog⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for more content. 

Guest: Diana Kelley, CSO at Protect AI  Topics: Can you explain the concept of "MLSecOps" as an analogy with DevSecOps, with 'Dev' replaced by 'ML'? This has nothing to do with SecOps, right? What are the most critical steps a CISO should prioritize when implementing MLSecOps within their organization? What gets better  when you do it? How do we adapt traditional security testing, like vulnerability scanning, SAST, and DAST, to effectively assess the security of machine learning models? Can we? In the context of AI supply chain security, what is the essential role of third-party assessments, particularly regarding data provenance? How can organizations balance the need for security logging in AI systems with the imperative to protect privacy and sensitive data? Do we need to decouple security from safety or privacy? What are the primary security risks associated with overprivileged AI agents, and how can organizations mitigate these risks?  Top differences between LLM/chatbot AI security vs AI agent security?  Resources: “Airline held liable for its chatbot giving passenger bad advice - what this means for travellers” “ChatGPT Spit Out Sensitive Data When Told to Repeat ‘Poem' Forever” Secure by Design for AI by Protect AI “Securing AI Supply Chain: Like Software, Only Not” OWASP Top 10 for Large Language Model Applications OWASP Top 10 for AI Agents  (draft) MITRE ATLAS “Demystifying AI Security: New Paper on Real-World SAIF Applications” (and paper) LinkedIn Course: Security Risks in AI and ML: Categorizing Attacks and Failure Modes

Today's guest is AJ Stuyvenberg, a Staff Engineer at Datadog working on their Serverless observability project. He had a great article recently about how they rewrote their AWS Lambda extension in Rust. It's a really interesting look at a big, hard project, from thinking about when it's a good idea to do a rewrite to talking about their focus on performance and reliability above all else and what he thinks about the Rust ecosystem. Beyond that, AJ is just a learning machine, so I got his thoughts on all kinds of software development topics, from underrated AWS services and our favorite databases to the AWS Free Tier and the annoyances of a new AWS account. Finally, AJ dishes out some career advice for curious, ambitious developers.

What if everything you thought about prototyping was wrong? Many teams rush to validate an idea too soon, but what if the real secret to success is building a studio that learns better? In this episode, Leif Johansen breaks down the myths of prototyping and how studios can create a structured approach to experimenting with game ideas.   Key Takeaways: - Stop Searching for the “Perfect Prototype” – The best teams prioritize many small, fast failures over one high-stakes prototype. - Prototyping Is a Science and an Art – The most successful studios create intentional experiments that map out their design space before committing to a vision. - Build a Learning Machine, Not Just a Game – A strong studio isn't just about good ideas—it's about a team that knows how to test and refine them. - Innovation Comes from Small Fixes, Not Big Ideas – World of Warcraft and Apex Legends didn't just win by reinventing the wheel; they won by refining existing formulas with micro-improvements. - Hiring Too Fast Can Kill Your Game – Too many studios hire for downstream roles (art, animation) before locking in core mechanics, creating inefficiencies and wasted resources.  

Es gibt hunderte Merkmalesmarter Ingenieure.In dieser Folge teile ich 7 kleine Ideen – 7 Denkweisen, an denen du besonders ambitionierte Ingenieure erkennst.Show Notes:>> No Zero Days | Buch für Ingenieure:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nozerodays.de⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> IntraMBA | Mentoring für Ingenieure:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠intra.mba⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Mentornotes: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠mentorwerk.de/mentornotes⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Tim Schmaddebeck auf LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hier klicken⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Buchempfehlungen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠mentorwerk.de/buecher⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stichworte zur Folge:Smarte Ingenieure, Growth Mindset, Personal Branding, Karriereentwicklung, Intrapreneurship, Technisches Wissen, Business Skills, Unternehmensstrategie, Fehler vermeiden, Stellvertretendes Lernen, Leadership, Entscheidungsfindung, Produktivität, Bürokratie vermeiden, kontinuierliches Lernen, Exponentielle Lernkurve, Technische Begeisterung, Unternehmerisches Denken, Karriere-Booster, Personal Brand, Erfolgsstrategien, Ingenieure im Unternehmen, Learning Machine, Smart Engineers, Problem Solving, Innovation, Karriere im Easy Modus, Erfolgreiche Ingenieure, Technische Führungskraft, Business Acumen, Smart Engineering

The Magic Mind team created a super offer for me to share with you guys.Get 45% off the Magic Mind bundle with with my link: https://www.magicmind.com/ERICJAN01:06 Chapter 1. Understanding the Structure of Learning.05:06 Chapter 2: Know How to Read Intelligently09:07 Chapter 3. Sharpening Your Memory13:07 Chapter 4. Be Strategic. Stay Organized.17:07 Chapter 5, Mastering MindsetBecome a Studying and Learning Machine: Strategies For the Top of the Class, Promotions, and Smashing Your Goals By Peter HollinsAre you ready to take your learning and studying game to the next level? Look no further than "Become a Studying and Learning Machine - Strategies For the Top of the Class" by Peter Hollins. In this episode, we dive deep into the strategies outlined in Book 27, exploring topics such as the STIC framework, scaffolding content, and the power of play in learning.Hear it Here - adbl.co/4hqQa5qWe'll also discuss how to use successive relearning, REAP methods for effective reading, smart highlighting techniques, and more. Peter Hollins shares his insights on mastering your memory with methods like Blurting and Memory Anchors, helping you stay organized with Zettelkasten and creating a skill tree. We'll even touch upon the importance of mindset and different thinking modes - focused or diffuse.This book and podcast episode will equip you with the knowledge to become a true learning machine. By implementing these strategies, you can expect to see improvements in your productivity, personal growth, and ultimately, your success across all areas of life.Don't miss out on this opportunity to revolutionize your studying habits and achieve your goals faster than ever before. Get your copy of "Become a Studying and Learning Machine" by Peter Hollins today and start your journey towards becoming the top student in your class or field.The best students, the top performers, the quickest learners - it's not by luck. They know what they're doing, and you can be like them too.We've never been taught how to learn. Yet learning is the keystone to any goal you want to achieve. Let's start changing your life with this very book.A learning structure and framework that takes you from A-Z, in what to do and how to approach it.STUDYING AND LEARNING MACHINE takes you on a psychological and physiological journey of your brain and how to work with it best. What your brain likes and hates - that will 1000% impact how quickly and effectively you learn. The more you learn, the more you earn! So let's go on this journey together of how to maximize your time, money, and life path!Master your approach and save countless hours.Peter Hollins has studied psychology and peak human performance for over a dozen years and is a bestselling author. He has worked with a multitude of individuals to unlock their potential and path towards success. His writing draws on his academic, coaching, and research experience.Smarter, faster, and better ways to achieve expertise.-What Descartes had to say about effective reading and retention-How to 'scaffold' content that you read for better memorization-The STIC framework and how it makes your brain want to help you learn better-Understanding various types of thinking modes and when to use each one-Play - how it helps learning and how you can speed up your learning 2x-How to climb a 'skill tree' to keep your progress efficient and effective

In this enlightening episode, we sit down with renowned speaker, trainer, and author Matt DiMaio, the mastermind behind the highly acclaimed YouTube channel ​⁠ With over five decades of experience, Matt knows how to transform the way we learn—taking us from the confines of what school teaches to mastering the art of learning itself!

This episode is sponsored by Reflect. It's the ultra-fast note-taking app that's about to change the way you take notes. To boost your productivity with advanced features like custom prompts and voice transcripts, give Reflect a try by clicking on this link: https://reflect.app/?utm_source=every&utm_medium=sponsorship&utm_campaign=september2024 Simon Eskildsen is a learning machine.  I first interviewed him in 2020 about how he leveled up from an intern at Shopify to the company's director of production engineering by reading and applying insights from hundreds of books. A lot has changed over the last four years. LLMs have made it possible to contextualize information like never before—and in this episode, I sat down with Simon to talk about how this changes the way he learns. Simon is now the cofounder and CEO of AI startup turbopuffer, which is building a search engine that makes vector search easy and affordable to run at scale. We get into: How Simon's learning rituals have evolved over time, as the cofounder of a growing startup and a new parent  The ways Simon has integrated ChatGPT, Claude, and Notion AI to do everything from writing legal documents to maintaining his rural cabin in Quebec  The custom AI commands in productivity tool Raycast that Simon uses to learn new words and cook creative dishes Simon's take on how language models will reshape the future of learning, especially skills like language acquisition, for the next generation  As we talk, we screenshare through his Anki setup, including the flashcard template he finds most useful, and try out his custom AI commands in Raycast to understand the meaning of two of my favorite obscure words, “lambent” and “eigengrau.” This is a must-watch for note-taking aficionados and anyone who wants to supercharge their learning with AI. If you found this episode interesting, please like, subscribe, comment, and share!  Want even more? Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free. To hear more from Dan Shipper: Subscribe to Every: https://every.to/subscribe  Follow him on X: https://twitter.com/danshipper  Timestamps: Introduction: 00:01:06 How entrepreneurship and parenthood changed Simon's learning rituals: 00:02:51 How Simon accelerates his learning by using LLMs to find associations: 00:12:59 Simon's Anki setup and the flashcard template he swears by: 00:18:24 The custom AI commands that Simon uses most often: 00:26:02 How Simon uses LLMs for DIY home projects: 00:37:45 Leveraging LLMs as intuitive translators: 00:40:48 Simon's take on how AI is reshaping the future of learning: 00:51:38 How to use Notion AI to write: 00:59:10 The AI tools that Simon uses to write, read, and code: 01:08:53 Links to resources mentioned in the episode:  Simon Eskildsen: @Sirupsen Simon's startup, turbopuffer: turberpuffer.com, @turbopuffer My first interview with Simon in 2020: https://every.to/superorganizers/how-to-build-a-learning-machine-299655  The productivity tool through which Simon uses LLMs, Raycast: https://www.raycast.com/  The other AI tools that Simon is experimenting with: voice-to-text tool superwhisper, copilot for developers Supermaven, code editor Cursor

In this episode, I talk with Kim Hamilton Duffy, the Executive Director of the Decentralized Identity Foundation (DIF). Before her work at DIF, Kim served as the CTO at Learning Machine, an early pioneer in the self-sovereign identity space that was acquired in 2020.We cover a range of topics, including:- The early days at Learning Machine and how they acquired their first customers- The messaging strategies that resonated and the unexpected moves that set them apart, like making it easy for customers to leave- How adoption exceeded expectations at Learning Machine and how that compares to the current decentralized identity landscapeKim offers deep insights from her extensive experience in the digital identity ecosystem, making this a conversation you won't want to miss!You can learn more about DIF on their website: identity.foundation.Subscribe to our weekly newsletter for more announcements related to the future of identity at trinsic.id/podcastReach out to Riley (@rileyphughes) and Trinsic (@trinsic_id) on Twitter. We'd love to hear from you.

In this episode of **Money Grows On Trees: The Podcast**, host Lloyd Ross dives deep into a crucial topic: *The Three Reasons Why People Stay Broke*. Drawing inspiration from the wisdom of the late Charlie Munger, Ross breaks down the fundamental behavioral barriers that prevent financial success. Discover why caring too much about others' opinions, an inability to delay gratification, and a lack of continuous learning are holding you back from achieving your financial goals. Packed with actionable insights and real-world examples, this episode is a must-listen for anyone looking to break free from the cycle of financial stagnation. Tune in now to transform your money habits and start paving the way to wealth!

In this episode, I talk about becoming a learning machine.

How can you help your organization get better at learning and incorporating feedback? And why could it make or break your success? Also in this episode: A key factor in professional success that most young people overlook Five keys to building a curious and driven culture Tips for making smart acquisitions and other partnerships Why the idea of a single founder's bold vision can be problematic The #1 thing leaders can do to bring more stability to their company A controversial take on soup (yes, soup) ——— GO DEEPER Scale up your leadership skills in 2 minutes a day with the How Leaders Lead app — Download today in the App Store Get coaching from David by signing up to receive his Weekly Leadership Plan. It builds on each podcast episode by offering actionable steps you can take each week to incorporate the learnings from the episode into your leadership style. It only takes about 5 minutes and is a great way to start off your week! Subscribe to the How Leaders Lead podcast to ensure you never miss an episode!

In der heutigen Folge erläutert Torben Platzer fünf entscheidende Fähigkeiten, die erfolgreiche Millionäre auszeichnen. Die Definition von „Fähigkeit" wird präzise beleuchtet, bevor er tief in die praktische Umsetzung der folgenden fünf Eigenschaften eintaucht: Zielsetzung, effektives Ressourcenmanagement, ausgeprägte Menschenkenntnis, kommunikative Kompetenz und die sogenannte „Learning Machine". __________ ⁠WhatsApp Broadcast beitreten⁠⁠ Am besten frisch aufgebrüht genießen: Jeden Mittwoch um 18:00 Uhr beleuchtet Torben aktuelle Themen der Gesellschaft, Schwerpunkt Business & Internet. Dabei greift er auf eigene Erfahrungen und Selbstexperimente zurück, erklärt anschaulich und gibt dir offen, ehrlich und vor allem direkt seine Meinung und Bewertung dazu. Torben ist Gründer, Head of Marketing der Branding & Social Media Agentur TPA Media GmbH mit Sitz in München, SPIEGEL Bestseller Autor und eine Internetpersönlichkeit mit über 1 Million Abonnenten. Er hat regelmäßig Gastauftritte im TV, wo er unter anderem bei Pro7 Galileo Technik Gadgets testet oder bei RTL Achtung Verbrechen über Phishing und Hackerangriffe aufklärt. ⁠Impressum⁠ --- Send in a voice message: https://podcasters.spotify.com/pod/show/torbenplatzer/message

In der Nachmittagsfolge begrüßen wir heute Adam Probst, CEO von ZenML, und sprechen mit ihm über die erfolgreiche Erweiterung der Seed-Finanzierungsrunde auf 6,4 Millionen US-Dollar.ZenML entwickelt ein erweiterbares Open-Source-Framework zur Erstellung produktionsreifer Pipelines für maschinelles Lernen. Dabei wird die Komplexität der Infrastruktur für Machine Learning Engineers abstrahiert, ohne sie an einen Anbieter zu binden, da es ein einheitliches Erlebnis auf allen wichtigen Plattformen wie AWS, GCP und Azure bietet. Dies ermöglicht Unternehmen Cloud-übergreifende Workloads effektiv zu verwalten. Darüber hinaus erweitern die bestehenden Integrationen von ZenML mit über 50 ML-Tools, darunter HuggingFace, Weights & Biases und MLflow, die Anpassungsfähigkeit und den Komfort. Dies bietet eine hohe strategische Flexibilität mit Cloud-agnostischen Integrationen. Ein Beispiel für den Wert der Lösung ist die Integration von Orchestrierungstools mit Experiment-Tracking-Tools. Anstatt mit fragmentierten Pipelines zu arbeiten, bietet ZenML einen zentralen Rahmen, der diese Werkzeuge auf kohärente und standardisierte Weise miteinander verbindet. User können mit einem Klick von der lokalen Entwicklung zur Skalierung in die Cloud wechseln. Seit Anfang 2023 hat das Startup außerdem einen vollständig verwalteten Cloud-Service für eine ausgewählte Gruppe von Kunden. Dieser Dienst baut auf dem Open-Source-Kern auf und erweitert dessen Fähigkeiten um umfassende Funktionen wie Single Sign-on, rollenbasierte Zugriffskontrolle und Delivery-Integrationen. ZenML wurde im Jahr 2021 von Adam Probst und Hamza Tahir in München gegründet.Nun hat das Open-Source-Framework eine Erweiterung der Seed-Runde um 3,7 Millionen US-Dollar auf 6,4 Millionen US-Dollar bekannt gegeben. Die Erweiterung wurde von Point Nine angeführt und von dem bestehenden Investor Crane unterstützt. An der Investitionsrunde beteiligten sich Business Angels wie D. Sculley, CEO von Kaggle, Harold Giménez, SVP R&D bei Hashicorp sowie Luke de Oliveira, ehemaliger Direktor für maschinelles Lernen bei Twilio. Das frische Kapital soll die Einführung von ZenML Cloud unterstützen.

Join Richard C. Wilson, Founder of Family Office Club, as he shares his thoughts from Vienna, Austria. In this video, Richard emphasizes the importance of continuous learning for both ultra-wealthy individuals and those beginning their capital-raising journey. Discover the value of networking, strategic deal-making, efficient structuring, and niche specialization as Richard explains how these elements contribute to lasting success. 00:00 Introduction from Vienna, Austria: Exclusive Event for High Net Worth Individuals 00:10 The Mission of Our Investor Club: A Perpetual Learning Machine00:20 Learning from Each Other: Tax Strategies, Deal Structuring, and Negotiation00:39 Building Success Together00:52 Join Our Community: Explore Membership at Family Office Club https://familyoffices.com/#billionarie #familyoffices  #investor #privateinvestors #capitalraising #funding   #investorclub   -----------------Our 16-year-old investor club, the Family Office Club, has 25 team members, 2 million social followers, has closed on over $500M of transactions, has over 4,000 active investors, and hosts 15 live events a year.  To join our investor club as a capital raiser or CEO of a company needing capital to access our live community events, please visit https://FamilyOffices.comTo register with us as an investor to access live community events please visit https://InvestorClub.comWe have free web classes and books for you to download on https://lp.FamilyOffices.com/book + https://CapitalRaising.com To date, our podcast and YouTube content has been downloaded over 5 million times.  Please subscribe to this channel as well as our Family Office Podcast so you do not miss our most popular mini-series content https://www.youtube.com/@FamilyOfficeClub

Seth and Ken run through their experiences implementing Machine Learning for different application security activities. A break down the duo's experience at DEF CON 31, interesting talks, and happy hour results.

In this video, we'll unravel the importance of investing in specialized knowledge and how it can open doors to unlimited opportunities. As technology and industries rapidly evolve, the value of broad expertise is being surpassed by deep, specialized knowledge. Click here to watch the full video on why it's s important to invest in specialized knowledge.#billionarie #familyoffices  #investor #privateinvestors #capitalraising #funding   #investorclub   -----------------Our 16-year-old investor club, the Family Office Club, has 25 team members, 2 million social followers, has closed on over $500M of transactions, has over 4,000 active investors, and hosts 15 live events a year.  To join our investor club as a capital raiser or CEO of a company needing capital to access our live community events, please visit https://FamilyOffices.comTo register with us as an investor to access live community events please visit https://InvestorClub.comWe have free web classes and books for you to download on https://lp.FamilyOffices.com/book + https://CapitalRaising.com To date, our podcast and YouTube content has been downloaded over 5 million times.  Please subscribe to this channel as well as our Family Office Podcast so you do not miss our most popular mini-series content https://www.youtube.com/@FamilyOfficeClub

Show Description: In this episode of the podcast, we connect on various aspects of life, from personal anecdotes and important life lessons to professional development and wellness tips. We provide some recent life updates , including Slager's unexpected lessons from a short-term water outage and Tim's bachelor party recap. You'll hear about Tim's exciting work with the LEAP Program, and how he's integrating journaling into his daily routine. Slager reveals his recent podcast experience discussing male emotions and spirituality, and his tactical approach to content scheduling. Lastly, we share valuable nuggets on becoming a self-reliant learner at work, dealing with rib injuries, and taking inspiration from stoic philosophy and Atomic Habits by James Clear. Tune in for an episode filled with humor, valuable lessons, and a fresh perspective on personal growth. Show Notes: Introduction - 3:00 - 21:45: We start by catching up on recent happenings in our lives. Slager shares a critical lesson he learned about gratitude and perspective after a brief period without running water. We also recap a bit of Tim's bachelor party, including golf and a memorable tour of the Woodford Distillery. Life and Business Updates - 21:45 - 32:00: We dive into Tim's latest life and business updates. Tim talks about his imminent wedding, recent golf and pickleball ventures, and a rewarding workshop he conducted with the LEAP Program for ReSource, a Vermont Non-Profit. He shares how the experience sharpened his public speaking skills and how he tailored his career development tips to resonate with a younger audience. Slager's Podcast Experience - 32:00 - 42:00: Slager recounts his recent appearance on the Cup of Joy podcast, where he discussed controlling emotions and expressing spirituality from a man's perspective. He highlights the importance of men expressing their emotions and seeking help. Becoming a Learning Machine - 42:00 - 50:00: We discuss practical strategies to enhance learning in the workplace, especially when your manager may not know how to train you. From initiating discussions with your manager, utilizing internal resources, to leveraging external knowledge resources, we discuss numerous tactics to foster self-growth. Slager's Business Update - 50:00 - 55:00: Slager provides a business update, focusing on his efforts in scheduling content. He shares how structuring content for different days and platforms forces a methodical approach to content creation. Wellness Tip - 55:00 - 57:00: Slager shares some minimal yet effective strategies for managing rib injuries, drawn from his personal experience with Jiu-Jitsu. Tim's Book Talk - 57:00 - 1:05:00: Tim discusses stoic philosophy, highlighting an impactful quote from Marcus Aurelius about where to invest your energy and time. He provides insight into how to apply these principles in both personal and professional contexts. Slager's Book Talk - 1:05:00 - End: Slager shares valuable insights from the book "Atomic Habits" by James Clear. He breaks down the "habit loop," discusses ways to break bad habits and create good ones, offering a compelling close to our conversation.

איתי הוא דוקטור למדעי המחשב (אבל היי! עם תואר ראשון בהנדסת חשמל ופיזיקה) שבא להסביר בשפה שכל מהנדס יבין - מה זה למידת מכונה, אינטליגנציה מלאכותית ולמה הם לא אותו הדבר.על מה דיברנו?ההיסטוריה של אינטליגנציה מלאכותיתמה זה בכלל למידת מכונהמה זה רשת נוירונים. גם קונספטואלית וגם איך מממשים אחתאלגוריתמים לאימון רשתותגישות שונות לפיתוח רשתמהו תהליך ההסקה ומה חשוב בו ביחס לתהליך האימוןלמה הנושא המדובר התפוצץ בשנים האחרונות?בקבוצת המאזינים בווטסאפ יש ספוילרים לפרקים עתידיים >>>https://chat.whatsapp.com/KwUu8pQsxx220qS7AXv04T

If you desire growth in your work and career, then, building a culture of learning is an important venture to embark on. In this episode, let us explore practical steps to turning yourself to a learning machine.

Omar Rayward attended one of the first ever coding bootcamp cohorts, now he's a Senior Staff Software Engineer. Oz and Charlie connect with Omar about his study habits, motivation, and whatever else it takes to keep up his consistent learning habits.Shownotes:How to be consistent (Oz's recent article, featuring Omar!)

Brick Institute eğitimleri, deneyimli eğitmenleri ve seçkin katılımcılarıyla birlikte Ürün Yönetimi Temelleri, Ürün Analitiği ve Ürün Liderliği programları çok yakında başlıyor. Bu eğitimler, gerçek hayat uygulamaları ve vaka çalışmaları üzerine odaklanarak, ürün yönetimi alanında uzmanlaşmak, ürün geliştirme süreçlerini kuvvetlendirmek isteyenler için oluşturuldu.Kontenjan sınırlıdır, bu nedenle hemen www.brick.institute adresinden başvuru yaparak yerinizi garantileyin ve eğitime katılmak için kaydolun!----Üretim Bandı'nın Slack grubu olduğunu biliyor muydunuz? 2700'den fazla ürün yöneticisi, girişimci, yazılımcı, tasarımcının bir arada bulunduğu aktif ürün topluluğuna siz de katılın:>>> uretimbandi.com/slackİki haftada bir yayınladığımız, ürün geliştirmeyle alakalı bültenimizi de aşağıdaki linkten takip edebilirsiniz:>>> uretimbandi.com/bulten----KONUKAmir Salihefendic: https://www.linkedin.com/in/amix3k/LINKLERBrick Institute: http://brick.institute/Ambition & Balance: https://blog.doist.com/ KONUŞULANLAR(00:00) Beginning(04:55) Working Long Term(08:18) Systems for Goals(10:40) Team Structures(15:10) Prioritizing the Needs(16:15) Defining Success for Maintenance Teams(18:30) Building a Roadmap(25:05) Transferring Know-How(29:45) Working as Detail Oriented(35:15) Ambition and Balance (Company Blog)(39:50) Recommendations for Entrepreneurs(41:40) Becoming a Learning Machine

In this episode I talk about learning.

Got a book under the tree this Christmas? Ready to boot up on new skills heading into a new year of work? Here are our tips on becoming a learning machine, by focussing on just-in-time learning, optimising for the ‘aha' moments, and getting rid of unfinished book guilt! — Jump to: (03:08) Focus on getting the "aha's", not reading books back-to-front (06:32) Connect learning to pain (just-in-time learning) (08:34) Start by 'snacking' content (12:24) Ask trusted people (13:28) Thoughts on Blinkist (14:54) Summary — Connect with Us: Michael Momsen (linkedin.com/in/michaelmomsen) Kai Lovel (linkedin.com/in/kailovel) Feedback, ideas or career questions? Send us an email - kai@zipline.io Zipline.io is a fast-growing RegTech startup solving frontline compliance challenges in healthcare. More at https://zipline.io

Pat Paalam a.k.a. ACE P, XRP Ronin, 432 HZ and the host of the YOSIBREAK podcast - is a regular here. This time his been keeping a low key and managed to stay off being censored on Social Media Platforms. His big into Self -Development & becoming a LEARNING MACHINE. His profound love for learning is a an important message to keep on repeat; cause the moment we stop is the moment we start dying. Pat Paalam has been around and on this podcast for the 5th or so time! Show Pat some love on his ART / Music / Platforms Spotify YosiBreak Podcast & ACE P Instagram @pxpxxlxm Rarible NFT 432 HZ ---------------------------------- Follow us on our Socials FB: TheHugeUpside IG: @huge_upside Tiktok: @huge_upside Twitter: @huge_upside Discord: THE DISCONNECTED

You Are Born With All The Tools You Need To Learn A New Language You are born with the ability to learn any language. It doesn't matter where you are born on this planet, for most of us within a few short years, you are processing and ready to speak a new language. Amazing. Have you thought about how our brains store that language? What about people with more than one language? Today's podcast is really interesting! ✔Lesson transcript: https://adeptenglish.com/lessons/learn-english-language-amazing-language-brain/ We are going to look at how the brain processes language and how it stores it. And we'll also talk about what happens when someone has two languages. It turns out that the brain is an amazing machine for processing language. Our brains are constantly making connections, processing information, and creating new neural pathways. We do it when we memorize a poem or learn a new language. We are hard-wired to learn. It's nice to see some language learning research data will encourage all of us language learning students.

Dave Court is an Adelaide based artists who's work spans across multiple mediums. His vibrant bright coloured works blur the boundaries between graphics art, sculpture, digital and painting. Ranging from small hangable works to large, all encompassing, multi sensory installations. Dave has recently been incorporating the use of AI image generating technology. His current exhibition titled “Learning Machine” is on show at Backwoods gallery, Collingwood. Opening night this Friday 23rd September. Instagram: @dave.court www.davecourt.art

Listener Nate is fascinated by DALL-E 2, but doesn't know where to start. How can you get into ML/neural net technology and what are good tricks for making the most of self-driven coding education? Send your project questions/ideas to neshcom@gmail.com, subject line “After Things.” Picks: Andrew: Fireship on YouTube Brian: The Book of Niall from Barry Jones on Kickstarter Bryce: Things

Listener Nate is fascinated by DALL-E 2, but doesn't know where to start. How can you get into ML/neural net technology and what are good tricks for making the most of self-driven coding education? Send your project questions/ideas to neshcom@gmail.com, subject line “After Things.” Picks: Andrew: Fireship on YouTube Brian: The Book of Niall from Barry Jones on Kickstarter Bryce: Things

Listener Nate is fascinated by DALL-E 2, but doesn’t know where to start. How can you get into ML/neural net technology and what are good tricks for making the most of self-driven coding education? Send your project questions/ideas to neshcom@gmail.com, subject line “After Things.” Picks: Andrew: Fireship on YouTube Brian: The Book of Niall from […]

Learning Machine is a podcast about the uncertain future of education, and this season, season three, is our EdTech season. We want to know how technology is transforming the classroom, for better - and for worse.  Join us each episode for conversations with experts in the EdTech arena, from teachers, to researchers, to CEOs, and join us online to discuss our weekly debate topic.  To find out more about our podcast, visit us at www.learningmachinepodcast.comSupport the show (https://www.patreon.com/LearningMachine)

Show 95 Title: “Farrow Covid-Brain” Guest: Dave Farrow :30 Intro the Dave Farrow 1:50 Issues with the brain 4:40 Love, Life and Lucille 6:00 Brain training 7:00 Adolescents 8:00 Learning machines 10:30 Covid brain fog 13:30 Veterans 17:00 Music 20:00 Grief 22:30 ADHD Hacks 27:00 Left brain and Right brain   The Stay Young America podcast is brought to you by Executive Medicine of Texas a leader in preventative and proactive medicine. People fly in from around the globe for executive physicals and age management learn more about Executive Medicine of Texas by going to EMTexas.com. Website: StayYoungAmerica.com Twitter: @stayyoungpod Facebook: Stay Young America!   Join us next time as we bring Dave Farrow back for mind over body brain hack with Dave Farrow. http://brainhackers.com/

For a while now, machines have been inseparably tied to our lives. The algorithms on Google, Netflix, Amazon, Xbox, and Tinder have run your life unwittingly. Machines are digesting data that you willingly share with them. Artificial intelligence has also impacted healthcare, from the development of vaccines to the search for a cure for cancer. Machine learning is transforming every aspect of our lives, but what is AI's ultimate foundation?Author and AI expert Pedro Domingos discusses machine learning's five tribes in his book Master Algorithm. During this episode, Pedro shares how the ultimate algorithm can derive knowledge about the past, the present, and the future from data. Listen as he and Greg tackle why such an algorithm should exist and compelling arguments from neuroscience, evolution, physics, statistics, and other branches of computer science.Episode Quotes:Are computer scientists the new age philosophers?I don't think scientists could have supplanted the psychologists and philosophers, and so on. I do think, however, that computer science and machine learning, in particular, changes the way we do everything in a very profound way. If you look at science, more than anything else, its progress is determined by the tools that are available. Galileo was Galileo because he had the telescope. No telescope, no Galileo, and the examples go on. And the thing is that computers are the most extraordinary tool for science, among other things. But for science in particular that we have ever created, they magnify our ability to do things in a way that was —I think — hard to imagine, even 50 years ago.Is machine learning just a bunch of different tools, all trying different approaches to solve the same problems?At the end of the day, the best algorithm is almost never any existing one. What a machine learning algorithm does, it's not magic. It's incorporating knowledge, and knowledge will be different in different domains. There are broad classes of domains where the same knowledge is relevant, and indeed different paradigms tend to do well in different problems. So, deep learning does very well at perceptual problems because, again, you know, these things were inspired by the neurology of the visual system, and et cetera, et cetera.Is the evolutionary model applicable and aligned with what's happening in AI and will there be obstacles in pursuing this line of thinking?There's more to be discovered about how evolution learns. And by the way, there's more to be discovered for the purposes of AI and also for the purposes of understanding evolution. I actually think that if someone really had a supercomputer, that could simulate evolution over a billion years. With the model of evolution that we have today, it would fail. It wouldn't get there. There are some mechanisms that also evolved. But again, this is this interesting series of stages, right? Even within evolution, there are levels of how evolution works. And I think there's a lot of that, that we still don't understand. But we will at some point, and I think that will be beneficial both for biology and for AI.Time Code Guide:00:03:06 How A.I. is revolutionizing the way we think00:04:31 Tycho Brahe stage00:06:44 Is the unified field theory of machine learning the same as the general approach to learning?00:09:11 Computers represent the fourth stage of learning and transmission of knowledge, do you think it's a discontinuity from the first three stages, which all seems to be natural phenomenon?00:10:21 The emergence of AI, life, evolution of the nervous system, and cultures00:12:01 The speed at which computers communicate and facilitate the transfer of Knowledge00:13:10 Possibilities and ways you can play with the computer's processing capacity00:14:29 How did we leap from the AI winter to the AI boom that we have today?00:17:25 Learning machines and self-driving cars00:18:48 AI and Linguistics00:19:33 Do each AI ‘tribe' have a singular view of pursuing a particular approach in AI without acknowledging that it can have limitations later on?00:24:54 One paradigm in AI and Master Algorithm00:27:13 The Rise of the Connectionist00:28:00 What's next for AI?00:33:37 Is it possible to automate the trial and error process and have an algorithm where we learn how to learn?00:37:49 Is the evolutionary model doing anything for AI, and what are the obstacles in this line of thinking?00:41:53 How do we know whether a school of ideas is dead or simply dormant?00:43:01 How do you advance interdisciplinary learning within the different school of thoughts in AI?00:44:24 Thoughts on Geoff Hinton's work and back propagation00:46:22 Is there a guidebook to creating a unified theory?00:48:11 AGI, AI and humans00:51:01 Automating the Scientific Process00:52:26 Thoughts on the Future of AIShow Links:Guest ProfileAcademic ProfileProfile at the International Telecommunications UnionPedro Domingos on TwitterHis WorkPedro Domingos on Google ScholarThe Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our WorldMarkov Logic: An Interface Layer for Artificial Intelligence (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Series One of Learning Machine is in the books! It's been such an insightful and edifying experience to work on our eight interview episodes from our first series. We've learned a lot through the process - both about the education system and about how to produce a podcast - and we're excited to bring that new knowledge forward with us as we begin work on Series Two! As part of that work, we're excited to introduce our new co-host, Raven DeRamus-Byers.  Raven works in education policy at New America, and she'll be bringing her depth of experience and outlook to bear on the topics we cover in upcoming episodes. In this episode, our Finale for the first series, we've invited Raven to come and chat with us about some of our favorite quotes from our guests. If you'd like to check out any of the interviews referenced in this episode, check out the full series on Spotify, Apple Podcasts, or visit our website at www.learningmachinepodcast.comThanks for listening this Series! We'll be back in October with Series Two. In the meantime, you can connect with us on Twitter, Instagram, and Reddit and we'll be continuing to drop some extra content in the intervening weeks. Drop us a line or send us a tweet to let us know what you think of our work, or who you think we should interview for an upcoming episode. Support the show

Learning Machine launches with four episodes from Series One on July 15th! Learning Machine is a podcast about the uncertain future of education! Series One will feature a total of eight episodes, each featuring a researcher, policy expert, or practitioner in the field of education.  In this trailer, you'll hear four of our guests from this series answering the question, "What is the purpose of the education system?" Guests in order of appearance in this trailer are Karin Wu (The Mind Research Institute), Bree Dusseault (Center for Reinventing Public Education), Tim Truitt (EdReports.org), and Deidra Reed (The New Teacher Project). To find out more about our podcast, visit us at www.learningmachinepodcast.comSupport the show (https://www.patreon.com/LearningMachine)

Did we invent computers, robots, and A.I. because we are fundamentally lazy? It may look like it, but that is not the technological driver. On the opposite side, it has to do with doing more, faster, more effectively, and going above and beyond our human capabilities.This same thing can be said of a carved stone used as a tool by our ancestors, the wheel, electricity, engines, airplanes, and of the most advanced technologies of today and tomorrow.Most of us do not realize it, but at the core of all the digital technology we use today, there are algorithms, and those are the things that are driving a big part of our everyday life — from buying online to moving around — but it's not just in cyberspace. Our whole day — from the moment you wake up to the moment you fall asleep—is suffused with machine learning.In this podcast, we discover what the engine is that drives Machine Learning and what its fuel is — spoiler alert: data, and a lot of it.Our guest is Professor Pedro Domingos from the University of Washington, who wrote a book called The Master Algorithm. As dystopian as that may sound, it is actually quite the opposite.  "The book is a thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own.In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask.In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible."We hope you will join us in the quest to discover what this Master Algorithm really means and what it can do for us. We do this constructively and positively, with hope and excitement for a better future, but with an eye open to the risk that may come if we cannot control its outcome — if and when AI can do much more than what it already can. Which is not that little.Let's go!GuestPedro Domingos, Professor of computer science at the University of Washington and author of 'The Master Algorithm' (@pmddomingos on Twitter)This Episode's SponsorsBlackCloak: https://itspm.ag/itspbcwebRSA Security: https://itspm.ag/itsprsawebResourcesView Pedro's work as a professor: https://homes.cs.washington.edu/~pedrod/View Pedro's book, The Master Algorithm, How the Quest for the Ultimate Learning Machine Will Remake Our World: https://www.basicbooks.com/titles/pedro-domingos/the-master-algorithm/9780465061921/To see and hear more The Cyber Society content on ITSPmagazine, visit:https://www.itspmagazine.com/the-cyber-societyTo see and hear more Redefining Technology stories on ITSPmagazine, visit:https://www.itspmagazine.com/redefining-technologyAre you interested in sponsoring an ITSPmagazine Channel?https://www.itspmagazine.com/podcast-series-sponsorships