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1:28:01EN
Cognitive Revolution "How AI Changes Everything"· 2025년 4월 16일팟캐스트The Q* Letter Never Happened: Helen Toner on OpenAI, Adaptation Buffers, and AI at War진행자 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.보안과 안전안전과 거버넌스AI Strategy+3
51:08EN
Unsupervised Learning: With Jacob Effron· 2025년 4월 15일팟캐스트The Transformer Co-Author Who Says Scaling Hit a Wall진행자 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.기업과 전략엔터프라이즈 AIAI Strategy+3
1:37:40EN
Cognitive Revolution "How AI Changes Everything"· 2025년 4월 13일팟캐스트China, Japan, and Korea fought only one war in six centuries진행자 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"· 2025년 4월 10일팟캐스트For under $10, Google's AI independently recovered a lab result nobody had published진행자 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Nathan Labenz how AMIE beats primary-care doctors on treatment plans, and how Co-Scientist matched Imperial College's unpublished bacterial-resistance mechanism.에이전트AI in healthcareAI for science+3
43:51EN
Unsupervised Learning: With Jacob Effron· 2025년 4월 9일팟캐스트The $177 Billion GPU Bet Only Works If AI Becomes a $1.5 Trillion Market진행자 Jacob EffronFour Redpoint partners walk their limited partners through where AI value will accrue—and why revenue is now the easiest metric to misread.기업과 전략AI StrategyCompany Building+3
슬라이드 4장18:23EN
Matthew Berman· 2025년 4월 7일Llama 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 modelsBenchmarks컨텍스트 엔지니어링+2
1:14:11EN
Cognitive Revolution "How AI Changes Everything"· 2025년 4월 5일팟캐스트The Reasoning Curve Was Smooth All Along: Gemini 2.5's Jack Rae on Thinking, Memory, and AGI진행자 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.모델과 학습Reasoning & test-time computeReinforcement Learning+3
슬라이드 3장7:33EN
Matthew Berman· 2025년 4월 4일Ace 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 use에이전트Benchmarks
슬라이드 8장23:50EN
Matthew Berman· 2025년 4월 3일PaperBench: 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.평가(Evals)AI research에이전트 엔지니어링+2
슬라이드 10장47:08EN
Jane Street· 2025년 4월 3일Chris 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
1:30:02EN
Cognitive Revolution "How AI Changes Everything"· 2025년 4월 2일팟캐스트When o1 Started Losing at Chess, It Rewrote the Board File진행자 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.보안과 안전Reward hacking안전과 거버넌스+3
슬라이드 6장16:02EN
Matthew Berman· 2025년 4월 1일Runway 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.비전과 영상Generative media
슬라이드 5장26:05EN
Matthew Berman· 2025년 3월 31일Inside 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 research모델과 학습AI Safety+1
슬라이드 6장11:31EN
Matthew Berman· 2025년 3월 29일AI 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"· 2025년 3월 29일팟캐스트Always Bet on the Models: How Shortwave's Andrew Lee Shipped Tasklet as Agents All the Way Down진행자 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.에이전트에이전트 엔지니어링컨텍스트 엔지니어링+3
1:01:53EN
Unsupervised Learning: With Jacob Effron· 2025년 3월 28일팟캐스트Open-source models are 5% of enterprise use — and GPT wrappers won진행자 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.기업과 전략Product-Market FitAI Strategy+3
슬라이드 6장17:03EN
Matthew Berman· 2025년 3월 28일Matthew 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 media비전과 영상Creativity+2
슬라이드 2장1:14EN
Matthew Berman· 2025년 3월 27일NVIDIA 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.인프라와 배포Local inferenceAI agents
1:25:12EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 27일팟캐스트He Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line Repo진행자 Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.코딩 에이전트컨텍스트 엔지니어링검색 증강 생성(RAG)+3
슬라이드 6장18:31EN
Matthew Berman· 2025년 3월 26일Gemini 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.Gemini코딩 에이전트Benchmarks+2
3:15:17EN
Lex Fridman· 2025년 3월 26일팟캐스트Democrats still think politics runs on money. It runs on attention.진행자 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"· 2025년 3월 23일팟캐스트A Year to Grow a Brain Organoid, an Hour to Simulate It진행자 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.모델과 학습AI for scienceComputational Biology+3
슬라이드 3장0:51EN
Matthew Berman· 2025년 3월 21일Claude 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"· 2025년 3월 19일팟캐스트The Fake Five-Second Hold: Voice AI Is Already Negotiating With Truckers진행자 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.제품과 UX음성 AIProduct Strategy+3
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