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18:31EN
AI Engineer· 25 oct 2026Janie Gu and Suyeol Yun: Why Frontier Models Fail as Buy-Side AnalystsJanie Gu, Suyeol Yun · Google DeepMindJanie Gu explains why benchmark scores can mislead, while Suyeol Yun presents MandateBench, which tests whether a model can turn a fund mandate into a defensible investment memo. The two talks show why real workflows, reproducible grading, and evidence-backed reasoning matter.
25:50ENKimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.
1:43:45EN
Cognitive Revolution "How AI Changes Everything"· 30 jul 2026PódcastA $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can WinPresenta: Nathan LabenzAdam Gleave walks through FAR.AI’s first head-to-head AI security leaderboard, and explains why a decade of offense-dominant thinking is starting to crack.
1:10:15EN
Sequoia Capital· 30 jun 2026PódcastThe 100x lives between the layers: Dylan Patel on co-design and a 60x yearSemiAnalysis’s founder argues that matching models, kernels, and silicon is what turns a 2x here and a 2x there into 100x, while equivalent-quality inference has gotten about 60 times cheaper in a year.
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.
1:44:28ENCognitive Revolution "How AI Changes Everything"· 13 jun 2026PódcastFable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed overPresenta: Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.
2:38:48ENCognitive Revolution "How AI Changes Everything"· 26 abr 2026PódcastA thousand searches for five cents, and a high score that did not require cheatingPresenta: Nathan LabenzOn a Cognitive Revolution morning show, Ceramic’s Anna Patterson collides cheap search with GPT-5.5’s clean Vending-Bench run, Zvi’s case for model welfare, and analog chips that cut matrix-multiply energy about thirtyfold.
1:57:29ENCognitive Revolution "How AI Changes Everything"· 4 abr 2026PódcastFrontier vision models score 12.5%: Joseph Nelson on the real waterline of computer visionPresenta: Nathan LabenzThe Roboflow CEO tells Nathan Labenz why vision still lags language, how to distill SAM 3 into an edge model for Wimbledon, and why the United States has almost never led open-source vision.
2:03:56ENCognitive Revolution "How AI Changes Everything"· 25 feb 2026Pódcast260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AIPresenta: Nathan LabenzKaran Singhal tells Nathan Labenz how ChatGPT Health was evaluated with physicians, walled off from model training, and aimed at raising both the floor and the ceiling of human health.
1:58:48ENCognitive Revolution "How AI Changes Everything"· 18 dic 2025PódcastARC Went from $1,000 a Task to Pocket Change. That Is Not a Normal Year of AIPresenta: Nathan LabenzCognitive Revolution’s first live show compresses nine conversations into a year-end scan of denial, sample efficiency, companions, memory, Gemini 3 Flash, and scientific judgment.
48:00EN
Unsupervised Learning: With Jacob Effron· 15 dic 2025PódcastA Two-Second Vote Is Training Models to Be ClickbaitPresenta: Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.
1:25:54ENCognitive Revolution "How AI Changes Everything"· 3 dic 2025PódcastHours after training ends, Z.ai puts the weights on the internetPresenta: Nathan LabenzZixuan Li of Z.ai tells ChinaTalk how a Chinese lab ships GLM, treats open weights as a ticket into Western ecosystems, and still sees itself as an upstart.
1:04:50ENCognitive Revolution "How AI Changes Everything"· 25 nov 2025PódcastUseful AI Work Is Doubling Every Four Months. Schools Should Plan Accordingly.Presenta: Nathan LabenzIn a keynote to K-12 educators, Cognitive Revolution host Nathan Labenz argued that task length, not chat quality, is the number that should reshape how schools think.
1:39:05ENCognitive Revolution "How AI Changes Everything"· 29 oct 2025PódcastThe Summer GPT-5 Disappointed Does Not Mean AI Progress Has StalledPresenta: Nathan LabenzNathan Labenz tells Erik Torenberg why the GPT-5 backlash mixed up product mishaps, naming chaos, and a real jump in capabilities.
30:11ENSequoia Capital· 30 jul 2025PódcastFrom 12 Percent on AIME to IMO Gold in Two MonthsAlex Wei, Sheryl Hsu, and Noam Brown tell Sequoia's Sonya Huang how a three-person OpenAI sprint used general-purpose reinforcement learning, not Lean, to reach gold-level on the 2025 International Mathematical Olympiad.
32:59ENNo 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.
1:25:32ENCognitive Revolution "How AI Changes Everything"· 2 jul 2025Pódcasto3 Invented a Voting Rule and Kept the Job: Four Weeks Inside the AI VillagePresenta: Nathan LabenzAdam Binksmith on putting Claude, o3, and Gemini in a shared world for weeks—and why most people still imagine multi-agent life as one AI times four.
54:53ENUnsupervised 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.
47:00ENUnsupervised Learning: With Jacob Effron· 8 may 2025PódcastAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadePresenta: Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.
58:11ENSequoia Capital· 15 abr 2025PódcastPatrick Hsu Wants an App Store for Biology, Not Just Better DrugsThe Arc Institute co-founder argues that Evo 2, trained on genomes rather than proteins, should underpin tools for every step of the scientific method.
3:18:45ENCognitive Revolution "How AI Changes Everything"· 20 feb 2025Pódcast5,000 Samples Topped ARC-AGI. Then Claude Faked Alignment to Keep Its ValuesPresenta: Nathan LabenzRedwood Research chief scientist Ryan Greenblatt walks through inference scaling, alignment faking, and what it would mean to strike real deals with AIs.
57:11ENUnsupervised Learning: With Jacob Effron· 30 ene 2025PódcastA Million Tokens Cannot Write a Good JokePresenta: Jacob EffronPrinceton's Arvind Narayanan on why agent evals mislead, inference scaling hits a wall, and AI looks more like the internet than an overnight revolution.
1:48:20ENCognitive Revolution "How AI Changes Everything"· 25 ene 2025PódcastFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the TablePresenta: Nathan LabenzOn Inauguration Day 2025, DeepSeek and Moonshot dropped reasoning-model results that Nathan Labenz reads as proof the reinforcement-learning recipe is simple, public, and still climbing.
2:04:45ENCognitive Revolution "How AI Changes Everything"· 7 ene 2025Pódcasto3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-ToePresenta: Nathan LabenzNathan Labenz walks through OpenAI's o3 scores, deliberative alignment, and why 2024's biggest surprise was beating PhDs while failing to book a calendar invite.Cargar másMostrando 24 de 49