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Florian and Esther discuss the language industry news of the week, with congratulations to Villam Language Services on its sale to InAnyLanguage. Slator served as joint exclusive advisor with Maveria Advisory, representing Villam throughout the end-to-end M&A process.The duo turns to Perplexity's Localization Manager job posting, which they found almost identical to OpenAI's earlier post, down to matching structure, order, and phrasing. They question whether copying such a specific ad shows a lack of seriousness or simply reflects practicality and efficiency.Esther and Florian talk about RWS's new leadership hires: Stephen Lamb as Chief Financial Officer and Michael Wayne as Head of Media and Entertainment. Esther outlines how the appointments strengthen RWS's investment strategy in media localization, dubbing, and content adaptation.Esther next mentions that Visual Data has named Maz Al-Jumaili as SVP of Worldwide Localization, to lead subtitling and dubbing operations and strengthen client partnerships.The duo wrap up with the UK government's bizarre energy-efficiency study, claiming AI translation is a thousand times greener than human translation. They review the flawed logic, where the report assigns human translators the entire office energy costs while excluding AI infrastructure.
Send us a textShe has millions of followers, lands six-figure brand deals, and lives a life of curated perfection. The only catch? She isn't real. She was entirely created by artificial intelligence.Welcome to the unsettling world of synthetic influencers.In this compelling episode of Privacy Please, we dive deep into the booming industry of AI-generated online personalities. Discover:The Technology: How advanced AI image generators, 3D modeling, and Large Language Models combine to create hyper-realistic avatars and their compelling "personalities."The Business Case: Why major brands and marketing agencies are investing millions in digital beings that offer total control, scalability, and no risk of scandal.The Privacy & Ethical Dilemmas: We explore the "uncanny valley" of trust, the impact of deception by design, the new extremes of unrealistic beauty standards, and the potential for these AI personas to be used for sophisticated scams or propaganda.The Future of Authenticity: What does the rise of the synthetic star mean for human creativity, genuine connection, and the very definition of "real" in our digital world?It's a future that's already here, shaping what we see, what we buy, and even what we believe.Key Topics Covered:What are virtual/synthetic influencers?Examples: Lil Miquela, Aitana Lopez, Shudu GramAI technologies used: image generation, 3D modeling, LLMsReasons for their rise: control, cost, scalability, data collectionEthical concerns: deception, parasocial relationships with AIImpacts: unrealistic standards, displacement of human creators, potential for malicious use (scams, propaganda)Debate around regulation and disclosure for AI-generated contentThe future of authenticity and trust onlineConnect with Privacy Please:Website: theproblemlounge.comYouTube: https://www.youtube.com/@privacypleasepodcastSocial Media:LinkedIn: https://www.linkedin.com/company/problem-lounge-networkResources & Further Reading (Sources Used / Suggested):Federal Trade Commission (FTC):Guidelines on disclosure for influencers (relevant for future AI disclosure discussions)Academic Research:Studies on parasocial relationships with media figures (can be applied to AI)Research on the ethics of AI and synthetic media.Industry Insights:Reports from marketing agencies on virtual influencer trendsArticles from tech publications (e.g., Wired, The Verge, MIT Tech Review) covering Lil Miquela and similar figures. Support the show
Cohere's former VP of AI research, Sara Hooker, is launching a new startup to build AI models that can adapt to their environment. Learn more about your ad choices. Visit podcastchoices.com/adchoices
I've made some mistakes, but these tools are so easy. You only have to know how to ask questions and even that you can ask it for help. I give you a FREE example along with the example from Seeking Alpha and Trendspider. Here are the links to all the sales: TRENDSPIDER - The best charting software EVER - just over $50/month with my link
Kennst du das Problem? Du stehst vor einem chaotischen Schraubenschächtelchen und weißt nicht, welche Schraube für welchen Zweck gedacht ist. Genau dieses Kindheitsproblem von Mika Straka, Head of Big Data and AI Research bei Würth, wird bald der Vergangenheit angehören – dank Computer Vision und künstlicher Intelligenz. In unserer neuesten AWS Cloud Horizonte Podcast-Folge erzählt der theoretische Physiker, wie er seit 2018 ein 80 Jahre altes Familienunternehmen in die digitale Zukunft führt. Was als sechsköpfiges Wissenschaftler-Team in Berlin begann, das noch mit Shellskripten und CSV-Dateien hantierte, ist heute eine Cloud-native AI-Abteilung, die crossfunktionale Teams über Firmengrenzen hinweg koordiniert. Straka nimmt uns mit auf eine faszinierende Reise von den ersten selbstgebauten PostgreSQL-Pipelines bis hin zu produktionsreifen Machine Learning Modellen, die täglich von tausenden Vertriebsmitarbeitern genutzt werden. Dabei wird schnell klar: Der Weg von der wissenschaftlichen Idee zur praktischen Anwendung ist steiniger als gedacht. Warum das erste Kundenfluktuation-Modell grandios scheiterte, obwohl es technisch perfekt funktionierte, und wie das Team beim zweiten Anlauf durch intensive Nutzer-Feedback eine Lösung entwickelte, die heute international skaliert wird.
Flint raised a $5 million seed round led by Accel, with participation from Sheryl Sandberg's fund, Sandberg Bernthal Venture Partners, and prior investor Neo. Also, Coco Robotics is working toward automating its fleet of delivery robots using its millions of miles of collected data. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Discover how WebAI is revolutionizing AI by enabling powerful models to run directly on devices.About the episode:Nataraj chats with David Stout, founder of WebAI, about bringing AI infrastructure to edge devices. David shares his journey from a Michigan farm to pioneering techniques for compressing AI models onto phones, laptops, and even airplanes. They discuss the importance of data privacy, real-time processing, and the shift from cloud-based AI to a web of interconnected, specialized AI systems working across devices. Learn about WebAI's vision for the future of AI and how they achieved a $700 million valuation.What you'll learn- Understand the limitations of cloud-based AI and the advantages of edge computing for data privacy and real-time processing.- Discover how WebAI compresses and optimizes large AI models to run efficiently on everyday devices like phones and laptops.- Learn about the potential of a decentralized “web of models” and how it could revolutionize various industries.- Explore the key factors driving WebAI's success, including their focus on horizontal technology and support for diverse AI models.- Gain insights into the future of AI hardware and software.About the Guest and Host:Guest Name: David Stout, Founder of WebAI, pioneering AI infrastructure for edge devices.Connect with Guest:→ LinkedIn: https://www.linkedin.com/in/davidpstout/ → Website: https://www.webai.com/Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor.→ LinkedIn: https://www.linkedin.com/in/natarajsindam/→ Substack: https://startupproject.substack.com/In this episode, we cover(00:01) Introduction and Guest Introduction(01:35) David's Journey in AI and Machine Learning(03:51) Bringing AI Models to Devices(05:49) Applications of AI on Devices(08:10) The Thesis for Starting Web AI(11:16) Optimizing for Specialized Models(15:02) Web AI's Customers and Use Cases(17:00) Hardware Optimization for Web AI(19:12) Lightweight Personal Models(22:55) The Trajectory of Foundational Model Companies and AGI(31:48) Emergent Behavior and Intelligence(35:17) Prompts Don't Pay Bills(41:22) Meta's Approach to Recruiting and Spending(44:51) Form Factors in AI(51:04) Surprising AI Products(52:42) Breakthroughs in AI Research(56:31) XAI's Models(01:03:24) The Future of Google and Search(01:06:39) Finding David and WebAIDon't forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts.#AI #EdgeComputing #MachineLearning #DataPrivacy #WebAI #ArtificialIntelligence #DecentralizedAI #AIInfrastructure #Startup #Technology #Innovation #Podcast #Entrepreneurship #TechStartups #DeepLearning #ModelCompression #AIModels #Inference #NatarajSindam #StartupProject
Cisco's Vijoy Pandey - SVP & GM of Outshift by Cisco - explains how AI agents and quantum networks could completely redefine how software, infrastructure, and security function in the next decade.You'll learn:→ What “Agentic AI” and the “Internet of Agents” actually are→ How Cisco open-sourced the Internet of Agents framework and why decentralization matters→ The security threat of “store-now, decrypt-later” attacks—and how post-quantum cryptography will defend against them→ How Outshift's “freedom to fail” model fuels real innovation inside a Fortune-500 company→ Why the next generation of software will blur the line between humans, AI agents, and machines→ The vision behind Cisco's Quantum Internet—and two real-world use cases you can see today: Quantum Sync and Quantum AlertAbout Today's Guest:Meet Vijoy Pandey, the mind behind Cisco's Outshift—a team pushing the boundaries of what's next in AI, quantum computing, and the future internet. With 80+ patents to his name and a career spent redefining how systems connect and think, he's one of the few leaders truly building the next era of computing before the rest of us even see it coming.Key Moments:00:00 Meet Vijoy Pandey & Outshift's mission04:30 The two hardest problems in computer science: Superintelligence & Quantum Computing06:30 Why “freedom to fail” is Cisco's innovation superpower10:20 Inside the Outshift model: incubating like a startup inside Cisco21:00 What is Agentic AI? The rise of the Internet of Agents27:00 AGNTCY.org and open-sourcing the Internet of Agents32:00 What would an Internet of Agents actually look like?38:19 Responsible AI & governance: putting guardrails in early49:40 What is quantum computing? What is quantum networking?55:27 The vision for a global Quantum InternetWatch Next: https://youtu.be/-Jb2tWsAVwI?si=l79rdEGxB-i-Wrrn -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
SORRY THE EPISODE IS LATE! The movie start to podcast pipeline, Spotify's founder Daniel Ek stepping down, discussing how one third of U.S. adults get their news from podcasts, do we just ask AI questions and not vet the answers? Playing with Sora 2, how to get your podcast promoted in Apple Podcasts Podcasts and of course stats: mean and median download numbers. Audience feedback drives the show. We'd love for you to contact us and keep the conversation going! Email thefeed@libsyn.com, call 412-573-1934 or leave us a message on Speakpipe! We'd love to hear from you!
SORRY THE EPISODE IS LATE! The movie start to podcast pipeline, Spotify's founder Daniel Ek stepping down, discussing how one third of U.S. adults get their news from podcasts, do we just ask AI questions and not vet the answers? Playing with Sora 2, how to get your podcast promoted in Apple Podcasts Podcasts and of course stats: mean and median download numbers. Audience feedback drives the show. We'd love for you to contact us and keep the conversation going! Email thefeed@libsyn.com, call 412-573-1934 or leave us a message on Speakpipe! We'd love to hear from you!
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 Dylan Patel. Dylan is the founder and CEO of SemiAnalysis. At SemiAnalysis Dylan tracks the semiconductor supply chain and AI infrastructure buildout with unmatched granularity—literally watching data centers get built through satellite imagery and mapping hundreds of billions in capital flows. Our conversation explores the massive industrial buildout powering AI, from the strategic chess game between OpenAI, Nvidia, and Oracle to why we're still in the first innings of post-training and reinforcement learning. Dylan explains infrastructure realities like electrician wages doubling and companies using diesel truck engines for emergency power, while making a sobering case about US-China competition and why America needs AI to succeed. We discuss his framework for where value will accrue in the stack, why traditional SaaS economics are breaking down under AI's high cost of goods sold, and which hardware bottlenecks matter most. This is one of the most comprehensive views of the physical reality underlying the AI revolution you'll hear anywhere. Please enjoy my conversation with Dylan Patel. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- This episode is brought to you by Ramp. 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. – This episode is brought to you by Ridgeline. 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. Head to ridgelineapps.com to learn more about the platform. – This episode is brought to you by AlphaSense. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at Alpha-Sense.com/Invest and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:12) The AI Infrastructure Buildout (00:08:25) Scaling AI Models and Compute Needs (00:11:44) Reinforcement Learning and AI Training (00:14:07) The Future of AI and Compute (00:17:47) AI in Practical Applications (00:22:29) The Importance of Data and Environments in AI Training (00:29:45) Human Analogies in AI Development (00:40:34) The Challenge of Infinite Context in AI Models (00:44:08) The Bullish and Bearish Perspectives on AI (00:48:25) The Talent Wars in AI Research (00:56:54) The Power Dynamics in AI and Tech (01:13:29) The Future of AI and Its Economic Impact (01:18:55) The Gigawatt Data Center Boom (01:21:12) Supply Chain and Workforce Dynamics (01:24:23) US vs. China: AI and Power Dynamics (01:37:16) AI Startups and Innovations (01:52:44) The Changing Economics of Software (01:58:12) The Kindest Thing
Invest Like the Best Key Takeaways Today, the challenge is not to make the model bigger; the problem is knowing how best to generate and create data in useful domains so that the model gets better at them AIs do not have to get to digital god mode for AI to have an enormous impact on productivity and society: Even if AI does not become smarter than humans in the short term, the economic value creation boom will still be enormous“If we didn't have the AI boom, the US probably would be behind China and no longer the world hegemon by the end of the decade, if not sooner.” – Dylan Patel The US is doing what China has done historically: dumping tons of capital into something, and then the market becomes If there is a sustained lag in model improvement, the US economy will go into a recession; this is the case for Korea and Taiwan, too On the AI talent wars: If these companies are willing to spend billions on training runs, it makes sense to spend a lot on talent to optimize those runs and potentially mitigate errors We actually are not dedicating that much power to AI yet; only 3-4% of total power is going to data centers He is more optimistic on Anthropic than OpenAI; their revenue is accelerating much faster because of their focus on the $2 trillion software market, whereas OpenAI's focus is split between many thingsWhile Meta “has the cards to potentially own it all”, Google is better positioned to dominate the consumer and professional markets Read the full notes @ podcastnotes.orgMy guest today is Dylan Patel. Dylan is the founder and CEO of SemiAnalysis. At SemiAnalysis Dylan tracks the semiconductor supply chain and AI infrastructure buildout with unmatched granularity—literally watching data centers get built through satellite imagery and mapping hundreds of billions in capital flows. Our conversation explores the massive industrial buildout powering AI, from the strategic chess game between OpenAI, Nvidia, and Oracle to why we're still in the first innings of post-training and reinforcement learning. Dylan explains infrastructure realities like electrician wages doubling and companies using diesel truck engines for emergency power, while making a sobering case about US-China competition and why America needs AI to succeed. We discuss his framework for where value will accrue in the stack, why traditional SaaS economics are breaking down under AI's high cost of goods sold, and which hardware bottlenecks matter most. This is one of the most comprehensive views of the physical reality underlying the AI revolution you'll hear anywhere. Please enjoy my conversation with Dylan Patel. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- This episode is brought to you by Ramp. 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. – This episode is brought to you by Ridgeline. 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. Head to ridgelineapps.com to learn more about the platform. – This episode is brought to you by AlphaSense. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at Alpha-Sense.com/Invest and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:12) The AI Infrastructure Buildout (00:08:25) Scaling AI Models and Compute Needs (00:11:44) Reinforcement Learning and AI Training (00:14:07) The Future of AI and Compute (00:17:47) AI in Practical Applications (00:22:29) The Importance of Data and Environments in AI Training (00:29:45) Human Analogies in AI Development (00:40:34) The Challenge of Infinite Context in AI Models (00:44:08) The Bullish and Bearish Perspectives on AI (00:48:25) The Talent Wars in AI Research (00:56:54) The Power Dynamics in AI and Tech (01:13:29) The Future of AI and Its Economic Impact (01:18:55) The Gigawatt Data Center Boom (01:21:12) Supply Chain and Workforce Dynamics (01:24:23) US vs. China: AI and Power Dynamics (01:37:16) AI Startups and Innovations (01:52:44) The Changing Economics of Software (01:58:12) The Kindest Thing
Invest Like the Best Key Takeaways Today, the challenge is not to make the model bigger; the problem is knowing how best to generate and create data in useful domains so that the model gets better at them AIs do not have to get to digital god mode for AI to have an enormous impact on productivity and society: Even if AI does not become smarter than humans in the short term, the economic value creation boom will still be enormous“If we didn't have the AI boom, the US probably would be behind China and no longer the world hegemon by the end of the decade, if not sooner.” – Dylan Patel The US is doing what China has done historically: dumping tons of capital into something, and then the market becomes If there is a sustained lag in model improvement, the US economy will go into a recession; this is the case for Korea and Taiwan, too On the AI talent wars: If these companies are willing to spend billions on training runs, it makes sense to spend a lot on talent to optimize those runs and potentially mitigate errors We actually are not dedicating that much power to AI yet; only 3-4% of total power is going to data centers He is more optimistic on Anthropic than OpenAI; their revenue is accelerating much faster because of their focus on the $2 trillion software market, whereas OpenAI's focus is split between many thingsWhile Meta “has the cards to potentially own it all”, Google is better positioned to dominate the consumer and professional markets Read the full notes @ podcastnotes.orgMy guest today is Dylan Patel. Dylan is the founder and CEO of SemiAnalysis. At SemiAnalysis Dylan tracks the semiconductor supply chain and AI infrastructure buildout with unmatched granularity—literally watching data centers get built through satellite imagery and mapping hundreds of billions in capital flows. Our conversation explores the massive industrial buildout powering AI, from the strategic chess game between OpenAI, Nvidia, and Oracle to why we're still in the first innings of post-training and reinforcement learning. Dylan explains infrastructure realities like electrician wages doubling and companies using diesel truck engines for emergency power, while making a sobering case about US-China competition and why America needs AI to succeed. We discuss his framework for where value will accrue in the stack, why traditional SaaS economics are breaking down under AI's high cost of goods sold, and which hardware bottlenecks matter most. This is one of the most comprehensive views of the physical reality underlying the AI revolution you'll hear anywhere. Please enjoy my conversation with Dylan Patel. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- This episode is brought to you by Ramp. 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. – This episode is brought to you by Ridgeline. 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. Head to ridgelineapps.com to learn more about the platform. – This episode is brought to you by AlphaSense. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at Alpha-Sense.com/Invest and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:12) The AI Infrastructure Buildout (00:08:25) Scaling AI Models and Compute Needs (00:11:44) Reinforcement Learning and AI Training (00:14:07) The Future of AI and Compute (00:17:47) AI in Practical Applications (00:22:29) The Importance of Data and Environments in AI Training (00:29:45) Human Analogies in AI Development (00:40:34) The Challenge of Infinite Context in AI Models (00:44:08) The Bullish and Bearish Perspectives on AI (00:48:25) The Talent Wars in AI Research (00:56:54) The Power Dynamics in AI and Tech (01:13:29) The Future of AI and Its Economic Impact (01:18:55) The Gigawatt Data Center Boom (01:21:12) Supply Chain and Workforce Dynamics (01:24:23) US vs. China: AI and Power Dynamics (01:37:16) AI Startups and Innovations (01:52:44) The Changing Economics of Software (01:58:12) The Kindest Thing
Episode 142: In this episode of Critical Thinking - Bug Bounty Podcast Rez0 and Gr3pme join forces to discuss Websocket research, Meta's $111750 Bug, PROMISQROUTE, and the opportunities afforded by going full time in Bug Bounty.Follow us on twitter at: https://x.com/ctbbpodcastGot any ideas and suggestions? Feel free to send us any feedback here: info@criticalthinkingpodcast.ioShoutout to YTCracker for the awesome intro music!====== Links ======Follow your hosts Rhynorater and Rez0 on Twitter: ====== Ways to Support CTBBPodcast ======Hop on the CTBB Discord at https://ctbb.show/discord!We also do Discord subs at $25, $10, and $5 - premium subscribers get access to private masterclasses, exploits, tools, scripts, un-redacted bug reports, etc.You can also find some hacker swag at https://ctbb.show/merch!Today's Sponsor: ThreatLocker. Check out ThreatLocker DACToday's Guest: https://x.com/gr3pme====== This Week in Bug Bounty ======New Monthly Dojo challenge and Dojo UI designThe ultimate Bug Bounty guide to exploiting race condition vulnerabilities in web applicationsWatch Our boy Brandyn on the TV====== Resources ======murtasecWebSocket Turbo Intruder: Unearthing the WebSocket GoldmineChaining Path Traversal Vulnerability to RCE — Meta's 111,750$ BugFinding vulnerabilities in modern web apps using Claude Code and OpenAI CodexMind the GapPROMISQROUTE====== Timestamps ======(00:00:00) Introduction(00:05:16) Full Time Bug Bounty and Business Startups(00:15:50) Websockets(00:22:17) Meta's $111750 Bug(00:28:38) Finding vulns using Claude Code and OpenAI Codex(00:39:32) Time-of-Check to Time-of-Use Vulns in LLM-Enabled Agents(00:45:22) PROMISQROUTE
Sholto Douglas, a top AI researcher at Anthropic, discusses the breakthroughs behind Claude Sonnet 4.5—the world's leading coding model—and why we might be just 2-3 years from AI matching human-level performance on most computer-facing tasks.You'll discover why RL on language models suddenly started working in 2024, how agents maintain coherency across 30-hour coding sessions through self-correction and memory systems, and why the "bitter lesson" of scale keeps proving clever priors wrong.Sholto shares his path from top-50 world fencer to Google's Gemini team to Anthropic, explaining why great blog posts sometimes matter more than PhDs in AI research. He discusses the culture at big AI labs and why Anthropic is laser-focused on coding (it's the fastest path to both economic impact and AI-assisted AI research). Sholto also discusses how the training pipeline is still "held together by duct tape" with massive room to improve, and why every benchmark created shows continuous rapid progress with no plateau in sight.Bold predictions: individuals will soon manage teams of AI agents working 24/7, robotics is about to experience coding-level breakthroughs, and policymakers should urgently track AI progress on real economic tasks. A clear-eyed look at where AI stands today and where it's headed in the next few years.AnthropicWebsite - https://www.anthropic.comTwitter - https://x.com/AnthropicAISholto DouglasLinkedIn - https://www.linkedin.com/in/sholtoTwitter - https://x.com/_sholtodouglasFIRSTMARKWebsite - https://firstmark.comTwitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/Twitter - https://twitter.com/mattturck(00:00) Intro(01:09) The Rapid Pace of AI Releases at Anthropic(02:49) Understanding Opus, Sonnet, and Haiku Model Tiers(04:14) From Australian Fencer to AI Researcher(12:01) The YouTube Effect: Mastery Through Observation(16:16) Breaking Into AI Research Without Traditional Signals(18:29) Google, Gemini, and Building Inference Stacks(23:05) Why Anthropic? Culture and Mission Differences(25:08) What Is "Taste" in AI Research?(31:46) Sonnet 4.5: Best Coding Model in the World(36:40) From 7 Hours to 30 Hours: The Long-Context Breakthrough(38:41) How AI Agents Self-Correct and Maintain Coherency(43:13) The Role of Memory in Extended Coding Sessions(46:28) Breakthroughs Behind the Performance Jump(47:42) Pre-Training vs. RL: Textbooks vs. Worked Problems(52:11) Test-Time Compute: The New Scaling Axis(55:55) Why RL Finally Started Working on LLMs in 2024(59:38) Defining AGI: Better Than Humans at Computer Tasks(01:02:05) Are We Hitting a Plateau? Evidence Says No(01:03:41) The GDP Eval: Measuring AI Across Economic Sectors(01:05:47) Preparing for 10-100x Individual Leverage & Robotics
Listen to September's Pediapod episode: What's hot in pediatric AI research, with Brynne Sullivan. Hosted on Acast. See acast.com/privacy for more information.
Mike Kakuk from AM800 joins Jerry at the party table for Party for Two. Jerry weighs in on the AI research position which is only open to disabled women. Rent is the biggest threat to Toronto's small businesses. Brad Poulos weighs in on this with Jerry. Plus - should you root for the Yankees or Red Sox to face the Blue Jays?
My guest today is Dylan Patel. Dylan is the founder and CEO of SemiAnalysis. At SemiAnalysis Dylan tracks the semiconductor supply chain and AI infrastructure buildout with unmatched granularity—literally watching data centers get built through satellite imagery and mapping hundreds of billions in capital flows. Our conversation explores the massive industrial buildout powering AI, from the strategic chess game between OpenAI, Nvidia, and Oracle to why we're still in the first innings of post-training and reinforcement learning. Dylan explains infrastructure realities like electrician wages doubling and companies using diesel truck engines for emergency power, while making a sobering case about US-China competition and why America needs AI to succeed. We discuss his framework for where value will accrue in the stack, why traditional SaaS economics are breaking down under AI's high cost of goods sold, and which hardware bottlenecks matter most. This is one of the most comprehensive views of the physical reality underlying the AI revolution you'll hear anywhere. Please enjoy my conversation with Dylan Patel. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- This episode is brought to you by Ramp. 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. – This episode is brought to you by Ridgeline. 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. Head to ridgelineapps.com to learn more about the platform. – This episode is brought to you by AlphaSense. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at Alpha-Sense.com/Invest and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:12) The AI Infrastructure Buildout (00:08:25) Scaling AI Models and Compute Needs (00:11:44) Reinforcement Learning and AI Training (00:14:07) The Future of AI and Compute (00:17:47) AI in Practical Applications (00:22:29) The Importance of Data and Environments in AI Training (00:29:45) Human Analogies in AI Development (00:40:34) The Challenge of Infinite Context in AI Models (00:44:08) The Bullish and Bearish Perspectives on AI (00:48:25) The Talent Wars in AI Research (00:56:54) The Power Dynamics in AI and Tech (01:13:29) The Future of AI and Its Economic Impact (01:18:55) The Gigawatt Data Center Boom (01:21:12) Supply Chain and Workforce Dynamics (01:24:23) US vs. China: AI and Power Dynamics (01:37:16) AI Startups and Innovations (01:52:44) The Changing Economics of Software (01:58:12) The Kindest Thing
Jakub Zavrel, CEO of Zeta Alpha, joins the podcast to discuss the practical evolution from traditional enterprise search to powerful “deep research” systems. Subscribe to the Gradient Flow Newsletter
This episode features a deep dive into the current state of AI model progress with Ari Morcos (CEO of Datalogy AI and former DeepMind/Meta researcher) and Rob Toews (partner at Radical Ventures). The conversation tackles whether model progress is genuinely slowing down or simply shifting into new paradigms, exploring the role of reinforcement learning in scaling capabilities beyond traditional pre-training. They examine the talent wars reshaping AI labs, Google's resurgence with Gemini, the sustainability of massive valuations for companies like OpenAI and Anthropic, and the infrastructure ecosystem supporting this rapid evolution. The discussion weaves together technical insights on data quality, synthetic data generation, and RL environments with strategic perspectives on acquisitions, regulatory challenges, and the future intersection of AI with physical robotics and brain-computer interfaces. (0:00) Intro(2:59) Debate on Model Progress(8:03) Challenges in AI Generalization and RL Environments(15:44) Enterprise AI and Custom Models(20:27) Google's AI Ascent and Market Impact(24:30) Valuations and Future of AI Companies(27:55) Evaluating xAI's Position in the AI Landscape(30:31) The Talent War in AI Research(35:45) The Impact of Acquihires on Startups(42:35) The Future of AI Infrastructure(48:28) The Potential of Brain-Computer Interfaces(54:45) The Evolution of AI and Robotics(1:00:50) The Importance of Data in AI Research With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint
In this episode, we sit down with Prateek Jain (Principal Scientist & Director at Google DeepMind) for an unfiltered deep dive into:How AI research has evolved from handcrafted features → deep learning → transformers → generativeWhy safety and efficiency matter just as much as scaleIndia's once-in-a-generation chance to lead in deep AI researchThe founder's playbook: building sustainable AI-first companiesThe next big bottlenecks — and opportunities — in this spaceThis is more than a conversation. It's a blueprint for the future of AI.
Researchers are calling Julius a milestone. Could it really be the foundation for AI that better understands us? We explore this possibility.Try AI Box: https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle
In this episode, we're unveiling revolutionary ai capabilities from the perspective of Mistral's Deep Research. Discover how this work is driving the next wave of innovation and setting a new standard for innovation in AI. We'll break down the most important insights, explore real-world implications, and share why this matters now more than ever.Try AI Box: https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle
Lance: https://www.linkedin.com/in/lance-martin-64a33b5/ How Context Fails: https://www.dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html How New Buzzwords Get Created: https://www.dbreunig.com/2025/07/24/why-the-term-context-engineering-matters.html Content Engineering: https://x.com/RLanceMartin/status/1948441848978309358 https://rlancemartin.github.io/2025/06/23/context_engineering/ https://docs.google.com/presentation/d/16aaXLu40GugY-kOpqDU4e-S0hD1FmHcNyF0rRRnb1OU/edit?usp=sharing Manus Post: https://manus.im/blog/Context-Engineering-for-AI-Agents-Lessons-from-Building-Manus Cognition Post: https://cognition.ai/blog/dont-build-multi-agents Multi-Agent Researcher: https://www.anthropic.com/engineering/multi-agent-research-system Human-in-the-loop + Memory: https://github.com/langchain-ai/agents-from-scratch - Bitter Lesson in AI Engineering - Hyung Won Chung on the Bitter Lesson in AI Research: https://www.youtube.com/watch?v=orDKvo8h71o Bitter Lesson w/ Claude Code: https://www.youtube.com/watch?v=Lue8K2jqfKk&t=1s Learning the Bitter Lesson in AI Engineering: https://rlancemartin.github.io/2025/07/30/bitter_lesson/ Open Deep Research: https://github.com/langchain-ai/open_deep_research https://academy.langchain.com/courses/deep-research-with-langgraph Scaling and building things that "don't yet work": https://www.youtube.com/watch?v=p8Jx4qvDoSo - Frameworks - Roast framework at Shopify / standardization of orchestration tools: https://www.youtube.com/watch?v=0NHCyq8bBcM MCP adoption within Anthropic / standardization of protocols: https://www.youtube.com/watch?v=xlEQ6Y3WNNI How to think about frameworks: https://blog.langchain.com/how-to-think-about-agent-frameworks/ RAG benchmarking: https://rlancemartin.github.io/2025/04/03/vibe-code/ Simon's talk with memory-gone-wrong: https://simonwillison.net/2025/Jun/6/six-months-in-llms/
Fill out this short listener survey to help us improve the show: https://forms.gle/bbcRiPTRwKoG2tJx8 Tri Dao, Chief Scientist at Together AI and Princeton professor who created Flash Attention and Mamba, discusses how inference optimization has driven costs down 100x since ChatGPT's launch through memory optimization, sparsity advances, and hardware-software co-design. He predicts the AI hardware landscape will shift from Nvidia's current 90% dominance to a more diversified ecosystem within 2-3 years, as specialized chips emerge for distinct workload categories: low-latency agentic systems, high-throughput batch processing, and interactive chatbots. Dao shares his surprise at AI models becoming genuinely useful for expert-level work, making him 1.5x more productive at GPU kernel optimization through tools like Claude Code and O1. The conversation explores whether current transformer architectures can reach expert-level AI performance or if approaches like mixture of experts and state space models are necessary to achieve AGI at reasonable costs. Looking ahead, Dao sees another 10x cost reduction coming from continued hardware specialization, improved kernels, and architectural advances like ultra-sparse models, while emphasizing that the biggest challenge remains generating expert-level training data for domains lacking extensive internet coverage. (0:00) Intro(1:58) Nvidia's Dominance and Competitors(4:01) Challenges in Chip Design(6:26) Innovations in AI Hardware(9:21) The Role of AI in Chip Optimization(11:38) Future of AI and Hardware Abstractions(16:46) Inference Optimization Techniques(33:10) Specialization in AI Inference(35:18) Deep Work Preferences and Low Latency Workloads(38:19) Fleet Level Optimization and Batch Inference(39:34) Evolving AI Workloads and Open Source Tooling(41:15) Future of AI: Agentic Workloads and Real-Time Video Generation(44:35) Architectural Innovations and AI Expert Level(50:10) Robotics and Multi-Resolution Processing(52:26) Balancing Academia and Industry in AI Research(57:37) Quickfire With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint
This session dives deep into how to think like a researcher and then get AI to do the heavy lifting for you.Jordan Crawford and Doug Bell shared their exact ChatGPT workflows for uncovering insights about your buyers that go way beyond job titles or industries. The kind of data points that make your outbound stand out in a crowded inbox.It's not about the tool itself, it's about the thinking, the structure of your prompts, and how you turn those insights into targeted campaigns that work.You'll Learn:Why most sales research is surface-level (and what to do instead)How to prompt ChatGPT for deep, targeted researchTurning AI research into an actionable prospecting listThe Speakers: Jed Mahrle, Jordan Crawford and Doug BellIf you want to catch The Daily Sales Show live, join hereFollow Sell Better to get the latest actionable tactics from sales pros at the top of their gameExplore our YouTube ChannelThank you to our sponsors: ZoomInfo and People.ai
In this transformative conversation, Palveshey Tariq—founder of Alternative Coaching Methods—shares her journey from quantum physics and AI research to guiding others through plant medicine ceremonies. After collecting all the accolades in STEM but feeling empty inside, a suic*de attempt led to a two-year journey of meditating 4-8 hours daily and completely rewiring her relationship with herself. What started as reaching for psilocybin mushrooms as an escape became five hours of taking ownership of her role in her own suffering. The conversation explores how we trade our authentic selves for conditional love starting in childhood, why observing our behavior (internally and externally) changes everything, and how fear drives most of our achievements until we learn to operate from integrity instead. Palveshey reveals her morning routine, why "discipline is the highest form of self-respect," and how asking "How do you know it's true?" can dismantle an entire belief system. Key Topics: From quantum physics to consciousness: the observer effect applied internally Why high achievement doesn't equal high performance (vitality and balance) Trading authenticity for love: "I am who I think you think I am" A psilocybin ceremony that wasn't an escape but a mirror The body screaming what the mind ignores: menstrual pain as communication Morning routine as self-respect: meditation, walking, yoga, reading, then clients Notable Quotes: "Plant medicines shed light on all the dark areas and assign you homework, but you still have to go home and do the work." "There's a fine line between owning your shit and being full of it." "In order to become a graceful master, we need to look like a foolish beginner." "In order for a spiritual awakening to happen, there has to be a mental breakdown." "Creation and contribution are the antidotes for comparison and criticism". Palveshey's Powerful Question: "How do you know it's true?"—And the crucial follow-up: "What's truer?" Key Lessons: Our subconscious starts believing love is conditional around age 2-3 The difference between religion and spirituality/devotion Integration is the most important part of plant medicine work Your body whispers before it screams—listen early Four motivators: fear, desire, duty, or love—know which drives you Turn "why me?" into "watch me" Right and wrong are illusions—feel what's right in the moment Resources Mentioned: Alternative Coaching Methods The Diamond Cutter (and other books mentioned on this season - affiliate links) No Bullshit Spirituality newsletter - one hard truth, one simple turnaround LinkedIn for Palveshey's writings Gravitas - 1:1 accelertaors for biz owners stepping into their founder era The Curiosity Lab - Strategy sessions for leaders by Chedva You're Gonna Want to Sit Down for This - bi-weekly email packed with lessons and free tools Chedva's newsletter - Weekly musings and questions
Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code AI commoditization—why all major models start to feel the same Western vs. Chinese open-source models and global AI power shifts Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training DIY facial recognition: Citizen activists unmask ICE using AI tools Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io
Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code AI commoditization—why all major models start to feel the same Western vs. Chinese open-source models and global AI power shifts Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training DIY facial recognition: Citizen activists unmask ICE using AI tools Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Get "Empire of AI" (Amazon Affiliate): https://amzn.to/4lRra9h Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io
Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code AI commoditization—why all major models start to feel the same Western vs. Chinese open-source models and global AI power shifts Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training DIY facial recognition: Citizen activists unmask ICE using AI tools Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Get "Empire of AI" (Amazon Affiliate): https://amzn.to/4lRra9h Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io
Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code AI commoditization—why all major models start to feel the same Western vs. Chinese open-source models and global AI power shifts Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training DIY facial recognition: Citizen activists unmask ICE using AI tools Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io
Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code AI commoditization—why all major models start to feel the same Western vs. Chinese open-source models and global AI power shifts Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training DIY facial recognition: Citizen activists unmask ICE using AI tools Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Get "Empire of AI" (Amazon Affiliate): https://amzn.to/4lRra9h Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io
Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code AI commoditization—why all major models start to feel the same Western vs. Chinese open-source models and global AI power shifts Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training DIY facial recognition: Citizen activists unmask ICE using AI tools Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Get "Empire of AI" (Amazon Affiliate): https://amzn.to/4lRra9h Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io
University of Hawaiʻi climate scientist Matthew Widlansky develops a new AI tool to help researchers explore complex data; Kaimuki High School teacher Chu Hong shares what her students are cultivating in WORMS club
Today on the show we have a professor of medicine, a computer scientist and an English professor, all talking about Artificial Intelligence and research. They dive into the role AI can play, its potential, and they seperate help from hype. Guests: Michelle Ploughman, professor at the faculty of medicine at MUN; Xianta Jiang, MUN computer science professor at the department of computer science; Aaron Tucker, English professor and author.
AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. In this episode of Eye on AI, we sit down with Leon Song, VP of Research at Together AI, to explore how open-source models and cutting-edge infrastructure are reshaping the AI landscape. From speculative decoding to FlashAttention and RedPajama, Leon shares how Together AI is building one of the fastest, most cost-efficient AI clouds—helping enterprises fine-tune, deploy, and scale open-source models at the level of GPT-4 and beyond. We dive into Leon's journey from leading DeepSpeed and AI for Science at Microsoft to driving system-level innovation at Together AI. Topics include: The future of open-source vs. closed-source AI models Breakthroughs in speculative decoding for faster inference How Together AI's cloud platform empowers enterprises with data sovereignty and model ownership Why open-source models like DeepSeek R1 and Llama 4 are now rivaling proprietary systems The role of GPUs vs. ASIC accelerators in scaling AI infrastructure Whether you're an AI researcher, enterprise leader, or curious about where generative AI is heading, this conversation reveals the technology and strategy behind one of the most important players in the open-source AI movement. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI
Good morning from Pharma and Biotech daily: the podcast that gives you only what's important to hear in Pharma e Biotech world. Eli Lilly plans to raise drug prices in Europe in response to Trump's Most Favored Nation policy. RFK Jr. has expressed support for mRNA cancer vaccines after cutting mRNA BARDA contracts. Precigen wins FDA approval for an immunotherapy for recurrent respiratory papillomatosis, while Kennedy revives a childhood vaccine safety group and suggests mRNA vaccines could be effective for cancer. Genscript announces a new era of innovation, Bausch Health closes a California site, and Eli Lilly partners with Superluminal for obesity treatments. Trump delays tariffs, and upcoming webinars focus on AI in research, integrated supply chain strategies, and data lakes. Job opportunities include positions at Utro Biopharma, BioMarin Pharmaceutical, and AbbVie.
ASUG recently collaborated with Intel and Microsoft to examine two of the hottest topics in the SAP ecosystem: cloud migration and AI adoption. As SAP continues spurring its customer base to embrace the cloud, citing next-generation AI solutions as a critical benefit to this shift, this research sheds light into how the cloud environments ASUG members are choosing, and what processes they are using AI solutions to improve. Blake Baltazar, ASUG Senior Project & Research Analyst, and Marissa Gilbert, ASUG Research Director, join ASUG Talks this week to break down this research and its key findings. Key InsightsWhat factors drive cloud adoption The cost ASUG members reported paying for their cloud services What AI solutions respondents are leveragingRelated Resources Read ASUG's SAP S/4HANA focused research and listen to a recent podcast with the ASUG research team on the key findings. Read how Carhartt leveraged SAP Commerce Cloud to modernize its global commerce infrastructure. Join ASUG on Aug. 20 for an Ask Me Anything Community Conversation on SAP Process Integration & Orchestration (PI/PO).
In this episode of Campus Technology Insider Podcast Shorts, Rhea Kelly highlights the latest in higher education technology. Touro University launches a Faculty Innovation Grant Program to develop AI-enhanced curricula, aiming for a fully AI-enabled institution by 2025. The National Science Foundation announces a $100 million investment in AI research, focusing on mental health, materials discovery, and human-AI collaboration. Additionally, the Tech Tactics in Education conference will address innovation challenges in K-12 and higher education. Register now for the free virtual event on September 25th. 00:00 Introduction to Campus Technology Insider 00:15 Touro University's AI-Enhanced Curricula Initiative 00:47 National Science Foundation's $100 Million AI Investment 01:27 Tech Tactics in Education Conference 2025 01:55 Conclusion and Further Resources Source links: Touro University Launches Faculty Innovation Grant Program to Advance Integration of AI into Teaching and Learning NSF Invests $100 Million in National AI Research Institutes September 2025 Tech Tactics in Education Conference Agenda Announced Campus Technology Insider Podcast Shorts are curated by humans and narrated by AI.
New AI research into the Documentary Hypothesis and the authorship of the books of Samuel reinforces our theories. Dr. Rutger Vos from the University of Leiden joins Gil to discuss. Read about this research here Join our tribe on Patreon! Check out these cool pages on the podcast's website:Home PageWho wrote the Bible: Timeline and authorsAncient maps: easy to follow maps to see which empire ruled what and whenClick here to see Exodus divided into "sources" according to the Documentary Hypothesis The podcast is written, edited and produced by Gil Kidron
ChatGPT: OpenAI, Sam Altman, AI, Joe Rogan, Artificial Intelligence, Practical AI
In this episode, we're unpacking powerful ai capabilities from the perspective of Mistral's Deep Research. Discover how this work is shaping the future of deep learning and setting a new standard for innovation in AI. We'll break down the most important insights, explore real-world implications, and share why this matters now more than ever.Try AI Box: https://aibox.ai/AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about
June 24, 2025 - Assemblymember Alex Bores, a Manhattan Democrat, discusses his legislation putting guardrails on cutting-edge artificial intelligence research and explains how the measure was curtailed during the amendment process. He also talks about unfinished business from the legislative session, weighs in on the movie Mountainhead, and considers the status of Empire AI.
Happy Friday, everyone! This week I'm back to my usual four updates, and while they may seem disconnected on the surface, you'll see some bigger threads running through them all.All seem to indicate we're outsourcing to AI faster than we can supervise, are layering automation on top of bias without addressing the root issues, and letting convenience override discernment in places that carry life-or-death stakes.With that, let's get into it.⸻Stanford's AI Therapy Study Shows We're Automating HarmNew research from Stanford tested how today's top LLMs are handling crisis counseling, and the results are disturbing. From stigmatizing mental illness to recommending dangerous actions in crisis scenarios, these AI therapists aren't just “not ready”… they are making things worse. I walk through what the study got right, where even its limitations point to deeper risk, and why human experience shouldn't be replaced by synthetic empathy.⸻Microsoft Says You'll Be Training AI Agents Soon, Like It or NotIn Microsoft's new 2025 Work Trend Index, 41% of leaders say they expect their teams to be training AI agents in the next five years. And 36% believe they'll be managing them. If you're hearing “agent boss” and thinking “not my problem,” think again. This isn't a future trend; it's already happening. I break down what AI agents really are, how they'll change daily work, and why organizations can't just bolt them on without first measuring human readiness.⸻Workday's Bias Lawsuit Could Reshape AI HiringWorkday is being sued over claims that its hiring algorithms discriminated against candidates based on race, age, and disability status. But here's the real issue: most companies can't even explain how their AI hiring tools make decisions. I unpack why this lawsuit could set a critical precedent, how leaders should respond now, and why blindly trusting your recruiting tech could expose you to more than just bad hires. Unchecked, it could lead to lawsuits you never saw coming.⸻Military AI Is Here, and We're Not Ready for the Moral TradeoffsFrom autonomous fighter jet simulations to OpenAI defense contracts, military AI is no longer theoretical; it's operational. The U.S. Army is staffing up with Silicon Valley execs. AI drones are already shaping modern warfare. But what happens when decisions of life and death get reduced to “green bars” on output reports? I reflect on why we need more than technical and military experts in the room and what history teaches us about what's lost when we separate force from humanity.⸻If this episode was helpful, would you share it with someone? Also, leave a rating, drop a comment, and follow for future breakdowns that go beyond the headlines and help you lead with clarity in the AI age.—Show Notes:In this Weekly Update, Christopher Lind unpacks four critical developments in AI this week. First, he starts by breaking down Stanford's research on AI therapists and the alarming shortcomings in how large language models handle mental health crises. Then, he explores Microsoft's new workplace forecast, which predicts a sharp rise in agent-based AI tools and the hidden demands this shift will place on employees. Next, he analyzes the legal storm brewing around Workday's recruiting AI and what this could mean for hiring practices industry-wide. Finally, he closes with a timely look at the growing militarization of AI and why ethical oversight is being outpaced by technological ambition.Timestamps:00:00 – Introduction01:05 – Episode Overview02:15 – Stanford's Study on AI Therapists18:23 – Microsoft's Agent Boss Predictions30:55 – Workday's AI Bias Lawsuit43:38 – Military AI and Moral Consequences52:59 – Final Thoughts and Wrap-Up#StanfordAI #AItherapy #AgentBosses #MicrosoftWorkTrend #WorkdayLawsuit #AIbias #MilitaryAI #AIethics #FutureOfWork #AIstrategy #DigitalLeadership
(0:00) Intro (1:49) About the podcast sponsor: The American College of Governance Counsel(2:36) Introduction by Professor Anat Admati, Stanford Graduate School of Business. Read the event coverage from Stanford's CASI.(4:14) Start of Interview(4:45) What inspired Karen to write this book and how she got started with journalism.(8:00) OpenAI's Nonprofit Origin Story(8:45) Sam Altman and Elon Musk's Collaboration(10:39) The Shift to For-Profit(12:12) On the original split between Musk and Altman over control of OpenAI(14:36) The Concept of AI Empires(18:04) About concept of "benefit to humanity" and OpenAI's mission "to ensure that AGI benefits all of humanity"(20:30) On Sam Altman's Ouster and OpenAI's Boardroom Drama (Nov 2023) "Doomers vs Boomers"(26:05) Investor Dynamics Post-Ouster of Sam Altman(28:21) Prominent Departures from OpenAI (ie Elon Musk, Dario Amodei, Ilya Sutskever, Mira Murati, etc)(30:55) The Geopolitics of AI: U.S. vs. China(32:37) The "What about China" Card used by US companies to ward off regulation.(34:26) "Scaling at All Costs is not leading us in a good place"(36:46) Karen's preference on ethical AI development "I really want there to be more participatory AI development. And I think about the full supply chain of AI development when I say that."(39:53) Her biggest hope and fear for the future "the greatest threat of these AI empires is the erosion of democracy."(43:34) The case of Chilean Community Activism and Empowerment(47:20) Recreating human intelligence and the example of Joseph Weizenbaum, MIT (Computer Power and Human Reason, 1976)(51:15) OpenAI's current AI research capabilities: "I think it's asymptotic because they have started tapping out of their scaling paradigm"(53:26) The state (and importance of) open source development of AI. "We need things to be more open"(55:08) The Bill Gates demo on chatGPT acing the AP Biology test.(58:54) Funding academic AI research and the public policy question on the role of Government.(1:01:11) Recommendations for Startups and UniversitiesKaren Hao is the author of Empire of AI (Penguin Press, May 2025) and an award-winning journalist covering the intersections of AI & society. You can follow Evan on social media at:X: @evanepsteinLinkedIn: https://www.linkedin.com/in/epsteinevan/ Substack: https://evanepstein.substack.com/__To support this podcast you can join as a subscriber of the Boardroom Governance Newsletter at https://evanepstein.substack.com/__Music/Soundtrack (found via Free Music Archive): Seeing The Future by Dexter Britain is licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License
In this episode of Catching Up, Nate McClennen and Mason Pashia explore the evolving landscape of education with a focus on AI leadership, applied humanities, and innovative learning spaces. They dive into key topics such as the role of AI in transforming educational practices, the shift towards applied humanities in higher education, and the potential of community spaces in schools to enhance learning experiences. With insights from recent developments and thoughtful discussions, this episode offers valuable perspectives for educators, administrators, and policymakers looking to navigate the future of education. Tune in to discover how these emerging trends are shaping new pathways for learners and educators alike. Outline (00:00) Introduction and Episode Overview (02:40) Educational Innovations and Legislation (04:41) Future of Learning: Digital Wallets and AI (10:16) Applied Humanities in Higher Education (18:20) AI in Schools: Leadership, Crowd, and Lab (28:45) Reimagining Community Spaces in Schools (33:31) AI in Job Screening and Hiring (42:25) What's That Song? Links Watch the full video Read the full blog here Mason's LER Blog Ministry of Imagination Accreditation MSA Teach For America Should Embrace Apprenticeship Model Amid AmeriCorps Cuts LER digital wallet Michigan experiment Educational Choice for Children Act H.R 3250 Applied Humanities AI leadership - Ethan Mollick - One Useful Thing Early Childhood and developers
In this episode of The Persistent Entrepreneur, David Hill sits down with Amarpreet Kalkat, founder and CEO of Humantic AI, to explore how artificial intelligence is revolutionizing the sales process—before the first call even happens. Amarpreet shares how his platform uses AI to generate powerful personality insights and buyer intelligence that help sales professionals personalize outreach, build trust faster, and dramatically improve conversion rates. If you want to learn how to leverage AI to connect smarter and sell more effectively, this is a conversation you don't want to miss. Full Name: Amarpreet Kalkat Email: kalkat@humantic.ai Phone Number: +915103299004 Social Media Links: https://www.linkedin.com/in/amarpreetkalkat/ http://x.com/amarpreetkalkat https://kalkat.substack.com/ Connect with David LINKS: www.davidhill.ai SOCIALS: Facebook: https://www.facebook.com/davidihill/ LinkedIn: https://www.linkedin.com/in/davidihill YouTube: https://www.youtube.com/c/DavidHillcoach TikTok: www.tiktok.com/@davidihill Instagram: https://www.instagram.com/davidihill X: https://twitter.com/davidihill RING LEADER AI DEMO CALL- 774-214-2076 PODCAST SUBSCRIBE & REVIEW https://podcasts.apple.com/us/podcast/the-persistent-entrepreneur/id1081069895
Learn how to leverage advanced AI strategies that most business owners miss The untapped potential of artificial intelligence for business growth. The conversation explores how most people are barely scratching the surface of AI's capabilities, sharing practical examples of how AI can research prospects, create marketing campaigns, build prototypes, and even write books in a fraction of the time traditional methods require. Mike Koenigs is the author of "The AI Accelerator" and founder of the Superpower Accelerator. As one of Charles' early mentors, Mike has consistently stayed ahead of marketing trends and now helps business owners harness AI to expand their capabilities, create one-person marketing teams, elevate their authority, and scale without adding headcount. His innovative "thousand dollars cup of coffee" campaign demonstrates how AI-powered research can transform client consultations and dramatically increase revenue. KEY TAKEAWAYS: Most businesses only scratch the surface of AI potential, using basic ChatGPT instead of the full AI ecosystem. Quality AI output directly reflects quality input—effective prompt crafting is essential. Successful AI adoption requires understanding possibilities, selecting right tools, and focusing on four key functions. Being "tool agnostic" is crucial—multiple AI models provide better insights than any single tool. AI's greatest advantage comes from unleashing imagination and asking better questions. Create AI style guides to capture brand voice and apply consistently across all content. The "one-person marketing department" is now possible through comprehensive AI tools. Mike's "thousand dollars cup of coffee" model demonstrates how AI research transforms high-ticket sales. Websites: Main Website: https://superpoweraccelerator.com/ AI Accelerator: https://ai.mikekoenigs.com/ Book Website: https://aiaccelerator.mikekoenigs.com/ Social Media: LinkedIn: https://www.linkedin.com/in/mikekoenigs/ Growing your business is hard, but it doesn't have to be. In this podcast, we will be discussing top level strategies for both growing and expanding your business beyond seven figures. The show will feature a mix of pure content and expert interviews to present key concepts and fundamental topics in a variety of different formats. We believe that this format will enable our listeners to learn the most from the show, implement more in their businesses, and get real value out of the podcast. Enjoy the show. Please remember to rate, review and subscribe to the podcast so you don't miss any future episodes. Your support and reviews are important and help us to grow and improve the show. Follow Charles Gaudet and Predictable Profits on Social Media: Facebook: facebook.com/PredictableProfits Instagram: instagram.com/predictableprofits Twitter: twitter.com/charlesgaudet LinkedIn: linkedin.com/in/charlesgaudet Visit Charles Gaudet's Wesbites: www.PredictableProfits.com
Are your mental health issues trapped between therapy appointments? When I hit a rough patch, I turned to AI for therapy out of desperation, and was genuinely shocked by the results. The AI asked me introspective questions identical to what my human therapist uses, but went further by offering specific suggestions my therapist couldn't provide. In this episode, we explore the surprising benefits and legitimate concerns of using AI for mental wellness. You'll discover how these tools can organize your scattered thoughts, provide actionable steps for improvement, and serve as a valuable bridge between professional therapy sessions. Listen now to learn how AI might become your unexpected mental health ally – just don't forget the human connection that algorithms can't replace. Topics Discussed: My personal experience using AI as a therapy tool How AI can provide structured introspection and actionable steps for mental health The surprising effectiveness of AI-generated journaling prompts for emotional connection The potential dangers of relying solely on AI for medical or mental health advice Privacy concerns and data collection risks when sharing personal information with AI Research comparing AI vs human doctor diagnostic accuracy (77% vs 67%) How AI lacks human imagination but excels at pattern recognition and memory recall The future integration of AI tools in professional healthcare settings Finding the balance between AI assistance and human connection Using AI to transform traditional journaling practices for deeper emotional connection ---- MORE FROM THE FIT MESS: Connect with us on Threads, Twitter, Instagram, Facebook, and Tiktok Subscribe to The Fit Mess on Youtube Join our community in the Fit Mess Facebook group ---- LINKS TO OUR PARTNERS: Take control of how you'd like to feel with Apollo Neuro Explore the many benefits of cold therapy for your body with Nurecover Muse's Brain Sensing Headbands Improve Your Meditation Practice. Get started as a Certified Professional Life Coach! Get a Free One Year Supply of AG1 Vitamin D3+K2, 5 Travel Packs Revamp your life with Bulletproof Coffee You Need a Budget helps you quickly get out of debt, and save money faster! Start your own podcast!
Alejandro and Julia of theluddite.org join us to debunk some terrible AI research, and the bad reporting compounding the problems on top of that. Also, what is AI? Can it ever think for itself? Are you an expert in something and want to be on the show? Apply here! Please support the show on patreon! You get ad free episodes, early episodes, and other bonus content! This content is CAN credentialed, which means you can report instances of harassment, abuse, or other harm on their hotline at (617) 249-4255, or on their website at creatoraccountabilitynetwork.org.
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