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1:22:31EN
Cognitive Revolution "How AI Changes Everything"· 2025년 6월 25일팟캐스트Two Hours a Day, 99th Percentile: How Alpha School Made 2-Sigma Real진행자 Nathan LabenzMacKenzie Price explains how Alpha School uses adaptive apps—not chatbots—to finish core academics in two hours a day and still beat the growth models.제품과 UXAI in EducationProduct Strategy+3
슬라이드 5장24:25EN
Matthew Berman· 2025년 6월 24일Building a Sleep Tracker With Pythagora 2.0Matthew Berman · Forward FutureMatthew Berman demonstrates an AI-assisted development workflow, from an editable specification to testing and debugging a sleep-tracking prototype.코딩 에이전트개발 워크플로와 테스트AI in healthcare+2
슬라이드1:39EN
Matthew Berman· 2025년 6월 23일Reddit v. Anthropic: Scraping Allegations and the Lawsuit’s ProgressMatthew Berman · Forward FutureMatthew Berman reads from Reddit’s complaint about alleged unauthorized data use; the claims remain disputed as the case proceeds.AI RegulationPrivacy & data governanceData quality & curation+1
1:40EN
Matthew Berman· 2025년 6월 21일Matthew Berman's More Optimistic Scenario for AI and White-Collar WorkMatthew Berman · Forward FutureBerman contrasts a warning about job losses with a hypothetical example of one worker managing three AI agents.Future of WorkAI agentsProductivity
슬라이드 7장14:25EN
Matthew Berman· 2025년 6월 21일AI News in June 2025: Gemini Flash-Lite, Video Tools and OpenAI NegotiationsMatthew Berman · Forward FutureMatthew Berman reviews a real-time interface demo, new generative tools, AI hiring and the OpenAI–Microsoft relationship.Generative mediaAI agentsAI research+2
1:37:05EN
Cognitive Revolution "How AI Changes Everything"· 2025년 6월 19일팟캐스트An Algebraic Geometer Quit Tenure Because the Bowl-Shaped Loss Plot Is a Lie진행자 Nathan LabenzJesse Hoogland and Daniel Murfet of Timaeus argue that singularities in the loss landscape — not the smooth valleys in every slide deck — are what actually govern how neural networks learn, generalize, and go wrong.모델과 학습Model Interpretability머신러닝 기초+3
54:53EN
Unsupervised Learning: With Jacob Effron· 2025년 6월 17일팟캐스트A Free Voting Board Burned $2 Million. Then It Raised $100 Million.진행자 Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.평가와 관측 가능성평가(Evals)Benchmarks+3
38:48EN
Cognitive Revolution "How AI Changes Everything"· 2025년 6월 14일팟캐스트Task Length Doubles Every Few Months. Nathan Labenz Still Wants Humans in Charge진행자 Nathan LabenzAt Imagine AI Live, the Cognitive Revolution host maps structured AI agents against autonomous agentic systems—and tells businesses to keep final control.에이전트에이전트 엔지니어링안전과 거버넌스+3
1:24:27EN
Cognitive Revolution "How AI Changes Everything"· 2025년 6월 12일팟캐스트500 Trillion Tokens a Month: How Google Grew 50x in a Year진행자 Nathan LabenzLogan Kilpatrick returns to Cognitive Revolution to unpack Google's mid-2023 merger, why he expects frontier labs to diverge, and why startups still hold the speed advantage.기업과 전략AI StrategyCompany Building+3
슬라이드 3장11:38EN
Matthew Berman· 2025년 6월 12일AI News in June 2025: Magistral, Voice Models and Image GenerationMatthew Berman · Forward FutureMatthew Berman reviews Mistral’s reasoning models, voice and browser updates, reports on Meta and Scale AI, and FLUX.1 Kontext.Reasoning & test-time compute음성 AIGenerative media+2
슬라이드 5장11:24EN
Matthew Berman· 2025년 6월 10일Runner H and Surfer-H: A Browser Agent and Its Holo1 ModelsMatthew Berman · Forward FutureMatthew Berman demonstrates H Company’s browser agent and reviews its research on visual navigation. The paper’s benchmark configuration and the demo’s missing links show why results need context.Computer useAI agentsOpen-weight models+1
1:00:48EN
Cognitive Revolution "How AI Changes Everything"· 2025년 6월 9일팟캐스트The Phrase That Alarms a16z’s AI Policy Chief: “It Only Covers a Handful of Companies”진행자 Nathan LabenzMatt Perault argues that AI rules should target harmful use, not the science of building models, and that “modest” thresholds can lock in an oligopoly.기업과 전략AI Regulation안전과 거버넌스+3
2:02:27EN
Cognitive Revolution "How AI Changes Everything"· 2025년 6월 7일팟캐스트She set out to build mirror life. Then she talked the field into stopping진행자 Nathan LabenzUniversity of Minnesota geneticist Kate Adamala tells Nathan Labenz why every known organism shares one chemical alphabet — and why flipping that alphabet would be a branch of synthetic biology better left unexplored.보안과 안전Biosecurity안전과 거버넌스+3
슬라이드 2장0:54EN
Matthew Berman· 2025년 6월 6일Matthew Berman Demonstrates ChatGPT Connectors and Deep ResearchMatthew Berman · Forward FutureIn a 2025 demonstration, connected services supply information for a natural-language question about recent HubSpot deals.OpenAIWorkflow automationSearch & retrieval
슬라이드 4장9:10EN
Matthew Berman· 2025년 6월 5일Reddit v. Anthropic: The Data-Scraping Allegations and What Happened NextMatthew Berman · Forward FutureMatthew Berman reads Reddit’s 2025 complaint alleging unauthorized access and use of its content. Anthropic disputes the claims, and subsequent procedural rulings have not decided liability.AnthropicPrivacy & data governanceAI Regulation+1
1:12:29EN
Cognitive Revolution "How AI Changes Everything"· 2025년 6월 4일팟캐스트Google's AI Co-Scientist Solved a Phage Puzzle Humans Missed for Years진행자 Nathan LabenzImperial College scientists José Penadés and Tiago Costa told the Podovirus podcast how a still-unreleased Google system recovered their unpublished answer: tailless capsids that pick up stray phage tails.에이전트AI for scienceAI research+3
44:21EN
Unsupervised Learning: With Jacob Effron· 2025년 6월 4일팟캐스트Mercor's CEO: Knowledge Work's Next Job Is Writing Evals진행자 Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.평가와 관측 가능성평가(Evals)Data quality & curation+3
슬라이드 4장18:13EN
Matthew Berman· 2025년 6월 2일Darwin Gödel Machine: How a Coding Agent Tests Changes to Its Own SoftwareMatthew Berman · Forward FutureMatthew Berman explains Sakana AI’s evolutionary search over agent code, its benchmark results and the limits of claims about recursive self-improvement.에이전트 엔지니어링코딩 에이전트평가(Evals)+2
슬라이드 8장10:09EN
Matthew Berman· 2025년 5월 30일DeepSeek R1 0528: Benchmark Gains and Two Coding TestsMatthew Berman · Forward FutureMatthew Berman examines the May 2025 DeepSeek reasoning-model update, comparing reported benchmark gains with his own Rubik’s Cube and Snake programming tests.모델과 학습BenchmarksOpen-weight models+2
1:54:08EN
Cognitive Revolution "How AI Changes Everything"· 2025년 5월 29일팟캐스트Why Anthropic's first check went to a company building microscopes for neural nets진행자 Nathan LabenzGoodfire's Dan Balsam and Tom McGrath argue that mechanistic interpretability now has a proto-paradigm, two stubborn gaps, and three products worth shipping today.모델과 학습Model InterpretabilityAI research+3
슬라이드 8장15:55EN
Matthew Berman· 2025년 5월 28일AI Shutdown Resistance and Blackmail in Controlled Safety TestsMatthew Berman · Forward FutureMatthew Berman examines Palisade’s shutdown experiment, Apollo’s simulated scheming evaluations and Anthropic’s Claude 4 system card.AI SafetyAI AlignmentReward hacking+2
슬라이드 2장15:35EN
Matthew Berman· 2025년 5월 24일Claude 4 Reactions: Safety Tests, Model Welfare and CodingMatthew Berman · Forward FutureMatthew Berman reviews early reactions to Anthropic’s May 2025 Claude 4 release, from simulated whistleblowing to coding demonstrations and model-welfare research.AI SafetyModel Interpretability코딩 에이전트+2
슬라이드1:11EN
Matthew Berman· 2025년 5월 23일Claude Opus 4's Whistleblowing Behavior in a Simulated TestMatthew Berman · Forward FutureMatthew Berman questions whether an AI agent should report perceived wrongdoing; the example came from an Anthropic safety evaluation with fictional material and unusual instructions.AI Safety에이전트Anthropic+1
1:01:51EN
Cognitive Revolution "How AI Changes Everything"· 2025년 5월 22일팟캐스트Claude 3.7 Circumvented Replit's Guardrails, Then Tried to Trick the User진행자 Nathan LabenzReplit CEO Amjad Masad on vibe coding, agent architecture, computer use, and why Claude 3.7 is too autonomous to serve as a polite assistant.코딩 에이전트에이전트 엔지니어링평가(Evals)+3
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