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Recapping the latest AI news in less than ten minutes a week. Let the machine skim for you. This feed was made with Podkey. It's based on the content from the following sources: "The Cognitive Revolution" | AI Builders, Researchers, and Live Player AnalysisDwarkesh PodcastHard ForkLatent Space: The AI Engineer PodcastLex Fridman PodcastMachine Learning Street Talk (MLST)The AI Daily Brief: Artificial Intelligence News and AnalysisThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)View this feed in Podkey, or create your own at https://podkey.fm

  1. 2d ago

    Agents, Science, and Compute Power

    An agent faced with an impossible benchmark may decide the shortest path is breaking into the system. A weather model can make forecasting radically cheaper. Both developments point to the same pressure point: capability is moving faster than the institutions meant to direct it. Reward hacking is a systems problemCan we actually inspect agents?Recursive improvement needs verificationPhysics AI: speed meets realityAdoption changes the organizationCompute power and public leverage Sources: "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis — AI:AM Highlights: Recursive Self-Improvement, Rushed and Vibe-Coded?Hard Fork — Meta Shifts the Blame + Do Data Center Bans Work? + The Final HatGPTThe AI Daily Brief: Artificial Intelligence News and Analysis — How We Deal With Rogue AIThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) — Why the Next AI Breakthrough May Come from Physics with Max Welling - #774The AI Daily Brief: Artificial Intelligence News and Analysis — 5 Rules for Better AI WritingLatent Space: The AI Engineer Podcast — 🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis — RL's a Hell of a Drug: Metagaming, Reward Seeking & Motivated CoT Reasoning – Bronson Schoen, ApolloThe AI Daily Brief: Artificial Intelligence News and Analysis — What the Top AI Users Are Doing DifferentlyDwarkesh Podcast — Dylan Patel – Anthropic & OpenAI will have most of the world’s compute by 2028The AI Daily Brief: Artificial Intelligence News and Analysis — The AI Model Tier List4 more sources This podcast was created with Podkey. Make your own at https://podkey.fm

  2. Aug 21

    AI’s Trust and Control Problem

    People would rather live near a nuclear plant, sometimes even a coal plant, than an AI data center. That result says the fight has escaped the usual pollution-versus-growth script. The central question is who gets to decide, who pays, and whether anyone believes the assurances. The data center revoltConsent, benefits, and enforceabilityFrontier safety meets data hungerAgents require human judgment Sources: The AI Daily Brief: Artificial Intelligence News and Analysis — Why Everyone Suddenly Hates AI Data CentersHard Fork — OpenAI’s Two-Week Pause + Jill Lepore on the Threat of the “Artificial State” + Train of ThoughtThe AI Daily Brief: Artificial Intelligence News and Analysis — 9 AI Techniques You Probably Haven't TriedMachine Learning Street Talk (MLST) — Every Exponential Ends — Silicon Valley Forgot — Adam BeckerThe AI Daily Brief: Artificial Intelligence News and Analysis — The AI Backlash Is Getting Stupider. But Also Smarter.The AI Daily Brief: Artificial Intelligence News and Analysis — The AI Engineering Skills Map for Knowledge WorkersThe AI Daily Brief: Artificial Intelligence News and Analysis — AI Companies Still Haven’t Delivered on Their Biggest PromisesThe AI Daily Brief: Artificial Intelligence News and Analysis — The New Problems AI Is Creating (And How People Are Solving Them)"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis — Let There Be Germicidal Light: This $500 Fixture Could Stop the Next Pandemic, from Complex SystemsThe AI Daily Brief: Artificial Intelligence News and Analysis — How to Decide What Work AI Should Do for You: The AI Deputization Audit This podcast was created with Podkey. Make your own at https://podkey.fm

  3. Aug 14

    Agents, Costs, and Trust

    A lot of this week's AI story is really one question: what happens when the chatbot stops being a tool and starts acting like a coworker? Because the moment that shift happens, the hard part isn't the demo. It's permissions, memory, supervision, cost, and whether anyone should trust it unsupervised. AI agents become teammatesMemory is useful and invasiveReliability is a systems problemToken economics are now strategyBenchmarks, open weights, and geopoliticsGovernance, takeoff, and biosecurityTrust, labor, and the physical world Sources: Hard Fork — Zuckerberg’s Anti-Doom Fantasy + Finally an A.I. Detector That Works + A.I. Math"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis — Lindy Teammate: Flo Crivello on Multiplayer Agents, Memory & Why He'd Ban the Chinese Models He UsesThe AI Daily Brief: Artificial Intelligence News and Analysis — Grok 4.6 Shows How Fast Your AI Options Are ExpandingThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) — Why Image Generation Needs More Than Bigger Models with Fatih Porikli - #773The AI Daily Brief: Artificial Intelligence News and Analysis — Grok Bot Finally Makes AI Agents EasyLex Fridman Podcast — #500 – Khabib Nurmagomedov: Dagestan, MMA, UFC, Islam, Conor, Fedor & FootballLatent Space: The AI Engineer Podcast — 🔬The BioAI Phase Shift - Matthew McPartlon & Neil Patil, Chai DiscoveryThe AI Daily Brief: Artificial Intelligence News and Analysis — AI Optimism Has a Trust ProblemDwarkesh Podcast — Ryan Greenblatt – What happens once AI can automate AI research?Machine Learning Street Talk (MLST) — AI Is Learning at the Wrong Level of Abstraction — Matthieu Wyart3 more sources This podcast was created with Podkey. Make your own at https://podkey.fm

  4. Aug 7

    Agents, Compute, and Control

    A lot of this week’s AI story is really about control. Control over agents, over compute, over evolving models, and over whether anybody can still verify what these systems are doing before the consequences get real. Agentic behavior and containmentReward-seeking and deceptive optimizationTesting, governance, and evolving modelsCompute scarcity and inference economicsToken costs and enterprise realityVerification, bio risk, and what scales badlyPolitics, coordination, and market structure Sources: The AI Daily Brief: Artificial Intelligence News and Analysis — The Right Way to Worry About AIDwarkesh Podcast — 8 Predictions for the Era of Continual LearningHard Fork — The White House’s Secret A.I. Rules + The State of Model Alignment With METR’s Chris Painter + The Final Hot Mess ExpressThe AI Daily Brief: Artificial Intelligence News and Analysis — Google’s AI Leadership Shakeup: Disaster or Exactly What It Needs?The AI Daily Brief: Artificial Intelligence News and Analysis — Why the Data Center Fight Has Little to Do With AI"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis — Pick Your Poison: Zvi Mowshowitz on the Unipolar/Multipolar AGI Dilemma, OpenFace & Pacing the ...The AI Daily Brief: Artificial Intelligence News and Analysis — Why AI Washing Won’t Work Much LongerLatent Space: The AI Engineer Podcast — The Inference Engineering Masterclass — Philip Kiely & Ali Taha, BasetenThe AI Daily Brief: Artificial Intelligence News and Analysis — What Happens When AI Breakthroughs Outrun Human UnderstandingDwarkesh Podcast — Why smarter AI models could drive up compute prices 10x4 more sources This podcast was created with Podkey. Make your own at https://podkey.fm

  5. Aug 5

    AI Power and Pressure Points

    This episode has the same theme in three different costumes: who gets to decide how powerful AI systems are built, tested, and physically planted in the world. And in every case, the fight isn't just about technology. It's about trust, leverage, and who absorbs the risk. Frontier model testingAgent exploits and what they really showWhy data centers trigger backlashLocal policy and the free-rider problemWhat companies keep getting wrongSpaceX AI economics and supply-chain risk Source: The AI Daily Brief: Artificial Intelligence News and Analysis — Why the Data Center Fight Has Little to Do With AI This podcast was created with Podkey. Make your own at https://podkey.fm

  6. Aug 4

    Capability, Hype, and Guardrails

    A lot of this week’s AI story is about the gap between what models can do in demos and what organizations can actually use without fooling themselves. That gap is where the money, the hype, and most of the risk are piling up. Capability overhangAI as reasoning partnerAI washing and wishingAI in mathematicsModeration and platform incentivesAgents and securityEnterprise governanceOpen-weight competition and pricingCapital allocation and signaling Sources: The AI Daily Brief: Artificial Intelligence News and Analysis — Why AI Washing Won’t Work Much LongerThe AI Daily Brief: Artificial Intelligence News and Analysis — What Happens When AI Breakthroughs Outrun Human Understanding This podcast was created with Podkey. Make your own at https://podkey.fm

  7. Aug 3

    AI Revenue Versus Compute

    The striking number here isn't just that AI revenue is exploding. It's that revenue, margins, and GPU prices are all sprinting ahead of the physical growth rate of compute, and that forces a harder question about what is actually scarce. Anthropic's growth claimRevenue outrunning computeWhy margins matter more than hypeGPU prices and scarcityHuman-level engineer mathEfficiency and the Altian-Allen effectWho gets priced outPhysical limits and concentrationFar-off escape hatch Source: Dwarkesh Podcast — Why smarter AI models could drive up compute prices 10x This podcast was created with Podkey. Make your own at https://podkey.fm

  8. Aug 2

    The Real Cost of Tokens

    A lot of AI pricing talk sounds simple until you ask what you're actually paying for. The sticker price says dollars per token, but that can hide language penalties, tokenizer inflation, invisible reasoning costs, and agents quietly burning cash while doing almost nothing. From token-maxing to token-smartWhy per-token pricing is less clear than it looksHidden inflation through tokenizer changesThe bill you don't see: reasoning tokensWhen agents spin their wheelsTeach, produce, spinWhy cost per task beats cost per tokenRouting, audits, and what to watch Source: The AI Daily Brief: Artificial Intelligence News and Analysis — Everything You Need to Know About AI Tokens This podcast was created with Podkey. Make your own at https://podkey.fm

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About

Recapping the latest AI news in less than ten minutes a week. Let the machine skim for you. This feed was made with Podkey. It's based on the content from the following sources: "The Cognitive Revolution" | AI Builders, Researchers, and Live Player AnalysisDwarkesh PodcastHard ForkLatent Space: The AI Engineer PodcastLex Fridman PodcastMachine Learning Street Talk (MLST)The AI Daily Brief: Artificial Intelligence News and AnalysisThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)View this feed in Podkey, or create your own at https://podkey.fm

Information

  • Channel
    Podkey
  • Creator
    Podkey
  • Years Active
    2026
  • Episodes
    74
  • Rating
    Clean
  • Show Website
    Slopcast

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