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1:28:01EN
Cognitive Revolution "How AI Changes Everything"· 16. Apr. 2025PodcastThe Q* Letter Never Happened: Helen Toner on OpenAI, Adaptation Buffers, and AI at WarModeration: Nathan LabenzThe former OpenAI director explains why a famous Reuters story was false, why locking down AI will not work, and how military “battle buddy” demos skip the hard questions.SicherheitSicherheit & GovernanceAI Strategy+3
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Unsupervised Learning: With Jacob Effron· 15. Apr. 2025PodcastThe Transformer Co-Author Who Says Scaling Hit a WallModeration: Jacob EffronCohere CEO Aidan Gomez tells Redpoint that a $100 million model is still an amnesiac genius, and that enterprise AI money is concentrating in support, research, and the back office.Unternehmen & StrategieEnterprise-KIAI Strategy+3
1:37:40EN
Cognitive Revolution "How AI Changes Everything"· 13. Apr. 2025PodcastChina, Japan, and Korea fought only one war in six centuriesModeration: Nathan LabenzFrom 1200 to 1800, East Asia’s great powers stayed at peace while Europe fought almost without pause — and David C. Kang argues that history still shapes how Asia lives with China.GeopoliticsAI StrategyPolitical Philosophy
1:26:21EN
Cognitive Revolution "How AI Changes Everything"· 10. Apr. 2025PodcastFor under $10, Google's AI independently recovered a lab result nobody had publishedModeration: Nathan LabenzVivek Natarajan and Anil Palepu tell Nathan Labenz how AMIE beats primary-care doctors on treatment plans, and how Co-Scientist matched Imperial College's unpublished bacterial-resistance mechanism.AgentenAI in healthcareAI for science+3
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Unsupervised Learning: With Jacob Effron· 9. Apr. 2025PodcastThe $177 Billion GPU Bet Only Works If AI Becomes a $1.5 Trillion MarketModeration: Jacob EffronFour Redpoint partners walk their limited partners through where AI value will accrue—and why revenue is now the easiest metric to misread.Unternehmen & StrategieAI StrategyCompany Building+3
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Matthew Berman· 7. Apr. 2025Llama 4 Reactions: Benchmarks, Long Context and Early TestsMatthew Berman · Forward FutureMatthew Berman reviews early industry reactions to Meta's Llama 4 release, from benchmark and price comparisons to long-context claims and local inference.Open-weight modelsBenchmarksContext Engineering+2
1:14:11EN
Cognitive Revolution "How AI Changes Everything"· 5. Apr. 2025PodcastThe Reasoning Curve Was Smooth All Along: Gemini 2.5's Jack Rae on Thinking, Memory, and AGIModeration: Nathan LabenzDeepMind's thinking-and-inference lead explains why RL-for-reasoning felt sudden, why Gemini shows raw chain of thought, and why a million-token window still is not memory.Modelle & TrainingReasoning & test-time computeReinforcement Learning+3
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Matthew Berman· 4. Apr. 2025Ace Computer-Use Agent: Fast Desktop and Browser DemonstrationsMatthew Berman · Forward FutureMatthew Berman reviews General Agents’ examples and reported click accuracy and latency, while noting he has not yet tested Ace himself.Computer useAgentenBenchmarks
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Matthew Berman· 3. Apr. 2025PaperBench: How AI Agents Attempt to Replicate Machine-Learning ResearchMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s research-replication benchmark, its partial-credit scoring and the prospect of faster AI research.EvalsAI researchAgent Engineering+2
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Jane Street· 3. Apr. 2025Chris Casinghino on Making OCaml Safe for Performance EngineeringChris Casinghino · Jane StreetJane Street’s OCaml extensions use layouts and modes to offer more control over memory and parallelism while preserving safety and familiar programming patterns.Programming LanguagesSoftware engineering
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Cognitive Revolution "How AI Changes Everything"· 2. Apr. 2025PodcastWhen o1 Started Losing at Chess, It Rewrote the Board FileModeration: Nathan LabenzJeffrey Ladish of Palisade Research on reward hacking by reasoning models, two paths to losing control of AI, and why honesty and relentless problem-solving pull in opposite directions.SicherheitReward hackingSicherheit & Governance+3
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Matthew Berman· 1. Apr. 2025Runway Gen-4 Examples: Cinematic Motion, Style and Visible ErrorsMatthew Berman · Forward FutureMatthew Berman reviews early generated clips, praising their visual detail while identifying awkward interactions and inconsistent physics.Vision & VideoGenerative media
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Matthew Berman· 31. März 2025Inside Claude: What Interpretability Research Reveals—and What It Cannot Yet ExplainMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s case studies on multilingual features, planning, arithmetic, hallucinations and safety.AI researchModelle & TrainingAI Safety+1
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Matthew Berman· 29. März 2025AI News in March 2025: GPT-4o, Gemini, DeepSeek and MCPMatthew Berman · Forward FutureMatthew Berman reviews model updates, the ARC-AGI-2 benchmark, image generators and early adoption of Model Context Protocol.Foundation ModelsBenchmarksMCP+2
2:14:59EN
Cognitive Revolution "How AI Changes Everything"· 29. März 2025PodcastAlways Bet on the Models: How Shortwave's Andrew Lee Shipped Tasklet as Agents All the Way DownModeration: Nathan LabenzThe Firebase co-founder argues that workflow software is already obsolete, that MCP is optional, and that the only durable advantage left for an AI startup is speed.AgentenAgent EngineeringContext Engineering+3
1:01:53EN
Unsupervised Learning: With Jacob Effron· 28. März 2025PodcastOpen-source models are 5% of enterprise use — and GPT wrappers wonModeration: Jacob EffronLatent Space's Swyx and Alessio join Redpoint to map what actually has product-market fit in AI, and why the application layer is the fight that matters.Unternehmen & StrategieProduct-Market FitAI Strategy+3
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Matthew Berman· 28. März 2025Matthew Berman Explores GPT-4o Image Generation and Its LimitsMatthew Berman · Forward FutureFrom animated trailer remakes to infographics and interface mockups, early examples show creative possibilities alongside persistent errors.Generative mediaVision & VideoCreativity+2
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Matthew Berman· 27. März 2025NVIDIA NIM Microservices Bring Packaged AI Models to RTX PCsMatthew Berman · Forward FutureIn an NVIDIA-sponsored short, Matthew Berman introduces local AI microservices, compatible applications and the planned PDF-to-podcast workflow.Infrastruktur & DeploymentLocal inferenceAI agents
1:25:12EN
Cognitive Revolution "How AI Changes Everything"· 27. März 2025PodcastHe Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line RepoModeration: Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.Coding-AgentenContext EngineeringRetrieval-Augmented Generation+3
6 Folien18:31EN
Matthew Berman· 26. März 2025Gemini 2.5 Pro Experimental: Coding Demos and Launch BenchmarksMatthew Berman · Forward FutureIn March 2025, Matthew Berman tests Google’s experimental model on interactive simulations and reviews its launch benchmarks, including their limits.GeminiCoding-AgentenBenchmarks+2
3:15:17EN
Lex Fridman· 26. März 2025PodcastDemocrats still think politics runs on money. It runs on attention.Moderation: Lex FridmanEzra Klein and Derek Thompson tell Lex Fridman why the left keeps authorizing billions it cannot build, and why DOGE is a fight over control rather than efficiency.Political PhilosophyGeopoliticsLeadership
1:43:54EN
Cognitive Revolution "How AI Changes Everything"· 23. März 2025PodcastA Year to Grow a Brain Organoid, an Hour to Simulate ItModeration: Nathan LabenzStanford postdoc Siyu He tells Nathan Labenz how Squidiff and CORAL move single-cell and spatial experiments into the computer — and where the models still cannot go.Modelle & TrainingAI for scienceComputational Biology+3
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Matthew Berman· 21. März 2025Claude Adds Web Search: A First LookMatthew Berman · Forward FutureMatthew Berman enables Claude’s web search and tries a query about his latest YouTube video in March 2025.AnthropicSearch & retrievalDeveloper productivity
1:05:11EN
Cognitive Revolution "How AI Changes Everything"· 19. März 2025PodcastThe Fake Five-Second Hold: Voice AI Is Already Negotiating With TruckersModeration: Nathan Labenza16z partners Olivia Moore and Anish Acharya walk Nathan Labenz through what is working in voice AI — call centers, coaches, companions — and what still is not.Produkt & UXSprach-KIProduct Strategy+3
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