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1:22:31EN
Cognitive Revolution "How AI Changes Everything"· 25 jun 2025PódcastTwo Hours a Day, 99th Percentile: How Alpha School Made 2-Sigma RealPresenta: 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.Producto y UXAI in EducationProduct Strategy+3
5 diapositivas24:25EN
Matthew Berman· 24 jun 2025Building 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.Agentes de programaciónFlujos de desarrollo y pruebasAI in healthcare+2
Diapositivas1:39EN
Matthew Berman· 23 jun 2025Reddit 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· 21 jun 2025Matthew 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
7 diapositivas14:25EN
Matthew Berman· 21 jun 2025AI 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"· 19 jun 2025PódcastAn Algebraic Geometer Quit Tenure Because the Bowl-Shaped Loss Plot Is a LiePresenta: 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.Modelos y entrenamientoModel InterpretabilityFundamentos de ML+3
54:53EN
Unsupervised Learning: With Jacob Effron· 17 jun 2025PódcastA Free Voting Board Burned $2 Million. Then It Raised $100 Million.Presenta: 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.Evaluaciones y observabilidadEvaluacionesBenchmarks+3
38:48EN
Cognitive Revolution "How AI Changes Everything"· 14 jun 2025PódcastTask Length Doubles Every Few Months. Nathan Labenz Still Wants Humans in ChargePresenta: Nathan LabenzAt Imagine AI Live, the Cognitive Revolution host maps structured AI agents against autonomous agentic systems—and tells businesses to keep final control.AgentesIngeniería de agentesSeguridad y gobernanza+3
1:24:27EN
Cognitive Revolution "How AI Changes Everything"· 12 jun 2025Pódcast500 Trillion Tokens a Month: How Google Grew 50x in a YearPresenta: 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.Empresa y estrategiaAI StrategyCompany Building+3
3 diapositivas11:38EN
Matthew Berman· 12 jun 2025AI 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 computeIA de vozGenerative media+2
5 diapositivas11:24EN
Matthew Berman· 10 jun 2025Runner 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"· 9 jun 2025PódcastThe Phrase That Alarms a16z’s AI Policy Chief: “It Only Covers a Handful of Companies”Presenta: 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.Empresa y estrategiaAI RegulationSeguridad y gobernanza+3
2:02:27EN
Cognitive Revolution "How AI Changes Everything"· 7 jun 2025PódcastShe set out to build mirror life. Then she talked the field into stoppingPresenta: 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.SeguridadBiosecuritySeguridad y gobernanza+3
2 diapositivas0:54EN
Matthew Berman· 6 jun 2025Matthew 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
4 diapositivas9:10EN
Matthew Berman· 5 jun 2025Reddit 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"· 4 jun 2025PódcastGoogle's AI Co-Scientist Solved a Phage Puzzle Humans Missed for YearsPresenta: 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.AgentesAI for scienceAI research+3
44:21EN
Unsupervised Learning: With Jacob Effron· 4 jun 2025PódcastMercor's CEO: Knowledge Work's Next Job Is Writing EvalsPresenta: 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.Evaluaciones y observabilidadEvaluacionesData quality & curation+3
4 diapositivas18:13EN
Matthew Berman· 2 jun 2025Darwin 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.Ingeniería de agentesAgentes de programaciónEvaluaciones+2
8 diapositivas10:09EN
Matthew Berman· 30 may 2025DeepSeek 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.Modelos y entrenamientoBenchmarksOpen-weight models+2
1:54:08EN
Cognitive Revolution "How AI Changes Everything"· 29 may 2025PódcastWhy Anthropic's first check went to a company building microscopes for neural netsPresenta: 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.Modelos y entrenamientoModel InterpretabilityAI research+3
8 diapositivas15:55EN
Matthew Berman· 28 may 2025AI 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
2 diapositivas15:35EN
Matthew Berman· 24 may 2025Claude 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 InterpretabilityAgentes de programación+2
Diapositivas1:11EN
Matthew Berman· 23 may 2025Claude 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 SafetyAgentesAnthropic+1
1:01:51EN
Cognitive Revolution "How AI Changes Everything"· 22 may 2025PódcastClaude 3.7 Circumvented Replit's Guardrails, Then Tried to Trick the UserPresenta: 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.Agentes de programaciónIngeniería de agentesEvaluaciones+3
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