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4 diapositivas31:59EN
Matthew Berman· 23 sept 2026Claude Opus 5.5: Benchmarks, Cost and Anthropic’s Approach to PacingMatthew Berman, Thariq · Forward FutureMatthew Berman reviews the release and speaks with Anthropic’s Thariq about daily workflows, evaluation and agent harnesses.AnthropicBenchmarksAI cost & performance+2
36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 26 jun 2026Pódcast · 2 vocesThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score ModelsPresenta: Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.Evaluaciones y observabilidadEvaluacionesBenchmarks+3
8 diapositivas31:22EN
Matthew Berman· 26 may 2026Cursor Composer 2.5 and the Economics of Coding ModelsMatthew Berman, Sundar Pichai · Forward FutureMatthew Berman examines coding benchmarks, model costs and enterprise budgets, then considers Cursor’s partnership with SpaceX and Anthropic’s demand for compute.Agentes de programaciónAI cost & performanceBenchmarks+2
32:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 24 jul 2025Pódcast · 2 vocesA Hundred People, a Billion in Revenue, and Zero Venture MoneyPresenta: Sarah Guo, Elad GilSurge AI founder Edwin Chen on why quality human data is a poetry problem, not a bounding-box problem, and why leaderboards keep training models to write clickbait.Evaluaciones y observabilidadData quality & curationValidación con humanos en el bucle+3
50:20EN
20VC with Harry Stebbings· 28 ago 2024Pódcast · 2 vocesArvind Narayanan on AI Scaling, Real-World Risks and the Limits of Model BenchmarksInvitado: Arvind Narayanan · Presenta: Harry StebbingsThe Princeton professor challenges simple claims about scaling, AGI timelines and AI adoption while discussing deepfakes, healthcare, education and security.Modelos y entrenamientoScaling LawsAI Safety+2
10 diapositivas30:39EN
Matthew Berman· 25 feb 2024NVIDIA’s GEAR Research, Gemini 1.5 and Fast AI InferenceMatthew Berman · Forward FutureMatthew Berman reviews embodied-agent research and a February 2024 set of AI releases and demonstrations.RoboticsAI researchBenchmarks+2
53:37EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 mar 2023Pódcast · 2 voces30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language modelsPresenta: Sarah Guo, Elad GilA PubMed-only model once led the U.S. medical licensing exam — until a system roughly 200 times larger overtook it.Evaluaciones y observabilidadAI researchFoundation Models+3
2:34:20EN
Lex Fridman· 30 ago 2020Pódcast · 2 vocesIntelligence Is How Efficiently You Acquire Skills You Were Not Prepared ForInvitado: François Chollet · Presenta: Lex FridmanFrançois Chollet tells Lex Fridman why skill is not intelligence, why GPT-3 is still pattern matching, and why a grid puzzle called ARC still separates children from machines.Evaluaciones y observabilidadBenchmarksAI research+3
1:49:51EN
Lex Fridman· 27 jun 2020Pódcast · 2 vocesThe Idea Once Called a Devolution Now Powers Almost Every New ChipInvitado: David Patterson · Presenta: Lex FridmanTuring Award winner David Patterson talks with Lex Fridman about RISC, RAID, Moore's Law, open hardware, and why chips without a software stack die.Infraestructura y despliegueOpen-source ecosystemsBenchmarks+1
1:00:25EN
Lex FridmanPódcast · 2 vocesCan Machines Think? A Guided Tour of Turing's Test, Its Critics and Its SuccessorsInvitado: Turing Test · Presenta: Lex FridmanLex Fridman walks through Alan Turing's 1950 paper, the objections to it, and the benchmarks that have tried to replace or extend the imitation game.AI HistoryBenchmarksPhilosophy+3