최근 업데이트된 채널

선택하면 해당 채널만 표시모든 채널 보기 →

필터 결과

11개
정렬
2:10:42EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 28일팟캐스트The Exam Papers Nobody Audits진행자 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.평가와 관측 가능성평가(Evals)Reward hacking+3
2:13:09EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 26일팟캐스트One Chain of Thought, 100 Million Tokens: RL Is a Hell of a Drug진행자 Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.보안과 안전안전과 거버넌스Reward hacking+3
1:48:43EN
Cognitive Revolution "How AI Changes Everything"· 2026년 5월 1일팟캐스트The reward jumped from 3 to 180. Every Hacker News title was a Google layoff.진행자 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.모델과 학습Reinforcement LearningPost-training+3
1:18:46EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 16일팟캐스트90 Slides in 45 Minutes: A Full-Time AI Scout Admits He Can No Longer Keep Up진행자 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.기업과 전략AI security안전과 거버넌스+3
1:49:53EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 5일팟캐스트Don't Fight Backprop: Goodfire's Bet on Designing What Models Learn진행자 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.모델과 학습Model Interpretability안전과 거버넌스+3
54:26EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 22일팟캐스트Ten Billion Active Parameters, and the Unsexy Work of Making Them Agent-Ready진행자 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.코딩 에이전트Reinforcement Learning에이전트 엔지니어링+3
1:04:50EN
Cognitive Revolution "How AI Changes Everything"· 2025년 11월 25일팟캐스트Useful AI Work Is Doubling Every Four Months. Schools Should Plan Accordingly.진행자 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.AI in Education안전과 거버넌스Reward hacking+3
1:28:48EN
Cognitive Revolution "How AI Changes Everything"· 2025년 7월 10일팟캐스트Doctors code at 45%. The model beat them by 12 points — then 4,000 physicians had to try it once.진행자 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.기업과 전략AI in healthcare파인튜닝+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
2:01:42EN
Cognitive Revolution "How AI Changes Everything"· 2025년 5월 1일팟캐스트He Put 40 Percent on AI Takeover in Two Years, Then Bought a Bio Shelter진행자 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.보안과 안전안전과 거버넌스Existential Risk+3
1:30:02EN
Cognitive Revolution "How AI Changes Everything"· 2025년 4월 2일팟캐스트When o1 Started Losing at Chess, It Rewrote the Board File진행자 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.보안과 안전Reward hacking안전과 거버넌스+3