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슬라이드 9장22:05EN
Matthew Berman· 2025년 6월 9일Apple’s “Illusion of Thinking”: Puzzle Limits and a Code-Assisted TestMatthew Berman, Ilya Sutskever · Forward FutureMatthew Berman reviews Apple’s reasoning-model experiments and tests a different way to solve Tower of Hanoi using generated code.Reasoning & test-time computeBenchmarks평가(Evals)+1
22:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 2월 7일팟캐스트 · 2명The $5.5 Million Was Only the Last Mile진행자 Sarah Guo, Elad GilOn No Priors' 100th episode, Sarah Guo and Elad Gil separate DeepSeek's paper cost from the compute behind it, then walk through OpenAI's Deep Research, Stargate, and their bets for 2025.모델과 학습AI StrategyAI cost & performance+3
슬라이드 6장18:57EN
Matthew Berman· 2024년 7월 9일AI News in July 2024: Small Models, Voice Tools and OpenAI SecurityMatthew Berman, Andrej Karpathy · Forward FutureMatthew Berman reviews AI product announcements, model evaluation and security reporting, and shares his predictions about the future of computing.AI research모델과 학습AI security+2
27:37EN
Matthew Berman· 2024년 6월 17일Leo Pekelis on Extending Llama 3 to a Million-Token ContextMatthew Berman, Leo Pekelis · Forward FutureGradient’s chief scientist explains long-context training, coding use cases, inference costs and why retrieval benchmarks tell only part of the story.컨텍스트 엔지니어링모델과 학습Inference+2
슬라이드 5장22:17EN
Matthew Berman· 2024년 3월 21일Q* Rumors, Energy-Based Models, and Research on ReasoningMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines an anonymous, unverified account of Q* and compares its ideas with published research on teaching language models to reason.Reasoning & test-time compute모델과 학습AI research+2
24:22EN
Lex Fridman팟캐스트 · 2명Craftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon Musk게스트 Jim Keller · 진행자 Lex FridmanThe veteran chip architect explains why he thinks autonomous driving is a tractable engineering problem, how Tesla's cost constraints shaped its hardware, and what he took from Musk's way of thinking.모델과 학습Autonomous DrivingAutonomous Systems+3
15:01EN
Lex Fridman팟캐스트 · 2명Deep Learning Is a System 1 Machine: Daniel Kahneman on What AI Still Lacks게스트 Daniel Kahneman · 진행자 Lex FridmanThe Nobel-winning psychologist tells Lex Fridman how his fast-and-slow thinking framework maps onto deep learning, and why driving among pedestrians may require understanding people.모델과 학습Deep LearningAI research+3
23:54EN
No Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명Beyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AI진행자 Sarah Guo, Elad GilIn a host-only episode, the No Priors hosts map the six levers for 10x to 100x better AI, explain fine-tuning, RAG and AI feedback, and ask why consumer social is suddenly interesting again.모델과 학습파인튜닝검색 증강 생성(RAG)+3
26:45EN
Lex Fridman팟캐스트 · 2명Start Small, Build Habits, Pick Your Team: Andrew Ng's Practical Advice for Learning Deep Learning게스트 Andrew Ng · 진행자 Lex FridmanIn a clip from the Lex Fridman Podcast, Andrew Ng explains how to begin in deep learning, how to study effectively, and how to choose a career path.모델과 학습Deep Learning머신러닝 기초+3