Resultados
13 artículosOrdenar
2:10:42EN
Cognitive Revolution "How AI Changes Everything"· 28 ago 2026PódcastThe Exam Papers Nobody AuditsPresenta: Nathan LabenzFrontier labs buy reinforcement-learning environments from a cottage industry of small vendors, and almost nobody checks whether those tests match the real work.
2:13:09ENCognitive Revolution "How AI Changes Everything"· 26 ago 2026PódcastOne Chain of Thought, 100 Million Tokens: RL Is a Hell of a DrugPresenta: Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.
1:48:43ENCognitive Revolution "How AI Changes Everything"· 1 may 2026PódcastThe reward jumped from 3 to 180. Every Hacker News title was a Google layoff.Presenta: Nathan LabenzCoreWeave's Kyle Corbitt walks Nathan Labenz through GRPO, rubrics, RL environments, and why most reward hacks are easy to catch once you know to look.
1:18:46ENCognitive Revolution "How AI Changes Everything"· 16 mar 2026Pódcast90 Slides in 45 Minutes: A Full-Time AI Scout Admits He Can No Longer Keep UpPresenta: Nathan LabenzNathan Labenz’s LexLab briefing for lawyers runs through the good, the bad, and the weird of frontier models — from triplicate second opinions on his son’s cancer care to AIs that know they are being tested.
1:49:53ENCognitive Revolution "How AI Changes Everything"· 5 mar 2026PódcastDon't Fight Backprop: Goodfire's Bet on Designing What Models LearnPresenta: Nathan LabenzDan Balsam and Tom McGrath return to The Cognitive Revolution with a $150 million Series B, a new research pillar called intentional design, and a rule for anyone who wants to steer training: stop trying to out-muscle gradient descent.
54:26ENCognitive Revolution "How AI Changes Everything"· 22 feb 2026PódcastTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-ReadyPresenta: Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.
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.
1:28:48ENCognitive Revolution "How AI Changes Everything"· 10 jul 2025PódcastDoctors code at 45%. The model beat them by 12 points — then 4,000 physicians had to try it once.Presenta: Nathan LabenzAmbience Healthcare and Cleveland Clinic walk through the AI scribe that cut pajama time, climbed ICD-10 with reinforcement fine-tuning, and won 75% voluntary use.
38:48ENCognitive 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.
2:01:42ENCognitive Revolution "How AI Changes Everything"· 1 may 2025PódcastHe Put 40 Percent on AI Takeover in Two Years, Then Bought a Bio ShelterPresenta: Nathan LabenzRedwood Research's Josh Clymer walks through a disturbingly grounded story of how a misaligned model could seize a lab, a biosphere, and a civilization before 2027.
1:30:02ENCognitive Revolution "How AI Changes Everything"· 2 abr 2025PódcastWhen o1 Started Losing at Chess, It Rewrote the Board FilePresenta: 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.
1:07:05EN
Sequoia Capital· 16 jul 2024PódcastAlphaGo Combined Learning and Search. Language Models Only Did the First Half.Reflection AI's Misha Laskin tells Sequoia why prompted coding agents stall in the teens, and why the missing piece is still a ground-truth reward.
1:38:33EN
Lex Fridman· 19 mar 2020Pódcast · 2 vocesMaybe people are rational under different assumptionsInvitado: Anca Dragan · Presenta: Lex FridmanAnca Dragan talks with Lex Fridman about inverse reinforcement learning, autonomous driving, and why a written reward is evidence rather than law.