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Folien15:43EN
Matthew Berman· 13. Okt. 2025How AI Data Centers Work: Power, Cooling and Community TradeoffsMatthew Berman · Forward FutureMatthew Berman explains the physical infrastructure behind AI prompts, from accelerator racks and backup power to water use and local planning.EnergySemiconductorsDistributed training & inference
6 Folien13:53EN
Matthew Berman· 10. Okt. 2025Tiny Recursive Models and the Limits of Puzzle Benchmark ComparisonsMatthew Berman · Forward FutureMatthew Berman examines a small recursive network that reports strong ARC and Sudoku results, and what its experimental setup means.AI researchBenchmarksReasoning & test-time compute+1
1:53:50EN
Cognitive Revolution "How AI Changes Everything"· 8. Okt. 2025PodcastA curriculum rewrite takes five years. AI does not wait.Moderation: Nathan LabenzJohan Falk, a Swedish teacher-turned-analyst, argues that AI literacy and AI friends are more urgent than putting a tutor in every classroom.AI in EducationAI StrategySicherheit & Governance+3
1:37:25EN
Cognitive Revolution "How AI Changes Everything"· 5. Okt. 2025PodcastFin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few PointsModeration: Nathan LabenzEoghan McCabe and Fergal Reid on production A/B tests, 99-cent outcome pricing, and why GPT-4 was already smart enough for most customer service.AgentenAgent EngineeringRetrieval-Augmented Generation+3
1:01:49EN
Cognitive Revolution "How AI Changes Everything"· 2. Okt. 2025PodcastChatGPT's Co-Creator Left to Put Nature in the Reward LoopModeration: Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.Modelle & TrainingAI for scienceReinforcement Learning+3
11 Folien26:17EN
Matthew Berman· 30. Sept. 202521 Practical AI Uses for Design, Work and ResearchMatthew Berman · Forward FutureMatthew Berman demonstrates ways to use image tools, ChatGPT and NotebookLM for visual concepts, research, everyday work and study.Generative mediaProductivityWorkflow automation+2
2:20:35EN
Cognitive Revolution "How AI Changes Everything"· 28. Sept. 2025PodcastChatGPT Is a Thousand Days Old. Emad Mostaque Says We Have About a Thousand Left.Moderation: Nathan LabenzThe Stability AI founder’s new economics argues that when intelligence is abundant, scarcity-based money and GDP stop making sense.Unternehmen & StrategieAI StrategyAGI Timelines+3
2 Folien0:58EN
Matthew Berman· 26. Sept. 2025Microsoft’s Nebius GPU Infrastructure AgreementMatthew Berman · Forward FutureIn a sponsored video, Matthew Berman discusses a 2025 infrastructure agreement and Nebius’s AI services.Infrastruktur & DeploymentAI cost & performanceModelle & Training
1:22:07EN
Cognitive Revolution "How AI Changes Everything"· 25. Sept. 2025PodcastEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%Moderation: Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.Modelle & TrainingKI im FinanzwesenEmbeddings+3
1:02:05EN
Unsupervised Learning: With Jacob Effron· 24. Sept. 2025Podcast$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the MathModeration: Jacob EffronDatology’s Ari Morcos and Radical Ventures’ Rob Toews argue over whether models are plateauing, whether RL-environment startups will last, and why Google is the lab they would pick.Unternehmen & StrategieAI StrategyAI startups & small teams+3
1:28:17EN
Cognitive Revolution "How AI Changes Everything"· 20. Sept. 2025PodcastAdam Gleave's Three Capability Tiers: Attack Agents in 5–7 Years, Fully AI Companies Around Year 14Moderation: Nathan LabenzFAR.AI and the UK AI Security Institute stacked adversarial attacks on frontier safeguard pipelines and found many breakthroughs were engineering failures, not a verdict against defense in depth.SicherheitAI securitySicherheit & Governance+3
5 Folien14:47EN
Matthew Berman· 18. Sept. 2025AI News in September 2025: OpenAI’s Programming Test, Meta’s REFRAG and New Agent ToolsMatthew Berman · Forward FutureMatthew Berman surveys competition results, efficient retrieval, agent payments, 3D worlds and model launches, alongside updates on Waymo and AI video. The episode distinguishes announcements, research claims and rumors from established outcomes.AI researchAI agentsBenchmarks+2
42:20EN
Unsupervised Learning: With Jacob Effron· 17. Sept. 2025PodcastA Name Invented at 2:30 a.m. Put Gemini on Top of the App StoreModeration: Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.Multimodal & MedienMultimodal AIGenerative media+3
4 Folien8:47EN
Matthew Berman· 16. Sept. 2025Why Identical LLM Prompts Can Produce Different Answers at Temperature ZeroMatthew Berman · Forward FutureMatthew Berman explains Thinking Machines Lab’s work on batch-invariant inference and what its reproducibility experiment actually showed.InferenceAI researchObservability & Zuverlässigkeit+1
1:32:47EN
Cognitive Revolution "How AI Changes Everything"· 13. Sept. 2025PodcastA transformer co-author wants a $160 million model no company ownsModeration: Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.Infrastruktur & DeploymentInferenceAI security+3
1:44:35EN
Cognitive Revolution "How AI Changes Everything"· 11. Sept. 2025PodcastJoe Hudson: $500 Billion Went Into AI, and Nobody Defined 'Good for Humanity'Moderation: Nathan LabenzSam Altman says the OpenAI coach's superpower is emotional clarity — and that it will be one of the most critical skills in a post-AGI world.Unternehmen & StrategieSicherheit & GovernanceHuman-AI Collaboration+3
59:06EN
Unsupervised Learning: With Jacob Effron· 10. Sept. 2025PodcastInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't HoldModeration: Jacob EffronThe FlashAttention author and Together AI chief scientist on why hardware portability is a myth, how Claude Code made him 1.5x faster, and why workloads will split the chip market.Infrastruktur & DeploymentInferenceAI cost & performance+3
3:14:49EN
Cognitive Revolution "How AI Changes Everything"· 6. Sept. 2025PodcastNothing This Summer Jumped the Curve: Why Zvi Lengthened His AGI TimelinesModeration: Nathan LabenzOn his tenth visit to The Cognitive Revolution, Zvi Mowshowitz argues that GPT-5 and IMO gold stayed on trend, while chip policy, energy, and reinforcement learning nudged his p(doom) slightly up.SicherheitAGI TimelinesSicherheit & Governance+3
1:51:39EN
Cognitive Revolution "How AI Changes Everything"· 3. Sept. 2025PodcastA native ad engine for AI—and the questions it cannot dodgeModeration: Nathan LabenzRyan Hudson, who sold Honey to PayPal for $4 billion, joins Nathan Labenz to explain ZeroClick’s bet on paid inference-time ads, and the societal incentives he has not yet had to confront.Unternehmen & StrategieAI in sales & marketingProduct Strategy+3
1:55:02EN
Cognitive Revolution "How AI Changes Everything"· 30. Aug. 2025PodcastA hundred experiments a day, and the valley of death in materialsModeration: Nathan LabenzRadical AI’s co-founders tell Nathan Labenz how a closed loop of frontier models and a self-driving lab is meant to collapse a forty-year materials cycle into less than a decade.AgentenAI for scienceAutonomous Systems+3
4 Folien17:51EN
Matthew Berman· 28. Aug. 2025AI News in August 2025: Claude for Chrome, New Models and AI InfrastructureMatthew Berman · Forward FutureMatthew Berman reviews a browser-agent preview, model releases, reported Apple discussions and research on inference and weather.AI agentsOpen-weight modelsGenerative media+2
2:02:17EN
Cognitive Revolution "How AI Changes Everything"· 27. Aug. 2025PodcastSAEs Find the Nouns. Parameter Decomposition Looks for the VerbsModeration: Nathan LabenzGoodfire's Lee Sharkey argues that sparse autoencoders recover a network's variables, not the algorithms those variables run, and shows how stochastic parameter decomposition tries to recover the computations themselves.Modelle & TrainingModel InterpretabilityAI research+3
4 Folien18:31EN
Matthew Berman· 27. Aug. 2025Testing Nano Banana: Gemini 2.5 Flash Image EditingMatthew Berman · Forward FutureMatthew Berman tests character consistency, image edits, generation, visual sequences and common failure cases.Generative mediaGeminiMultimodal AI
2:04:27EN
Cognitive Revolution "How AI Changes Everything"· 23. Aug. 2025PodcastA 10% Chance of an AI-Enabled Coup in the Next 30 YearsModeration: Nathan LabenzTom Davidson maps three ways superintelligent systems could help a head of state or a lab CEO lock in power—and argues the window for building safeguards is short.SicherheitSicherheit & GovernanceExistential Risk+3
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