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2 diapositives17:20EN
MBMatthew Berman· 23 févr. 2025Vibe Coding a Login Page and an AI Tetris PlayerMatthew Berman · Forward FutureMatthew Berman experiments with AI-written code, iterates through failures and trains a basic game-playing agent.Vibe CodingAgents de codeReinforcement Learning+1
3 diapositives21:10EN
MBMatthew Berman· 11 févr. 2025Sam Altman’s 2025 AI Coding Forecast and Three ObservationsMatthew Berman, Sam Altman · Forward FutureMatthew Berman examines predictions about reasoning models, software agents and AI economics, distinguishing competitive-programming results from broader work.Agents de codeScaling LawsReinforcement Learning+2
4 diapositives21:00EN
MBMatthew Berman· 23 janv. 2024Jim Fan's Foundation Agent Vision: Skills, Robot Bodies, and SimulationMatthew Berman, Jim Fan · Forward FutureMatthew Berman examines research on Minecraft agents, varied robot bodies, and simulation as steps toward more general embodied AI.RoboticsAgentsReinforcement Learning+2
18:46EN
Lex FridmanPodcastDeep Learning Plus One Idea: Ilya Sutskever on Building AGIAnime : Lex FridmanIn a May 2020 conversation, Sutskever discusses self-play, simulation, bodies and consciousness, tests of intelligence, and how an AGI might be governed and aligned.Modèles et entraînementAGIReinforcement Learning+3
17:40EN
Lex FridmanPodcastFrom AlphaGo Zero to MuZero: How Self-Play Strips Knowledge Out of AIAnime : Lex FridmanDeepMind's David Silver explains why removing human knowledge made AlphaZero stronger and more general, and how MuZero extended the idea to worlds with unknown rules.Modèles et entraînementReinforcement LearningAI research+3
26:45EN
Lex FridmanPodcast · 2 voixStart Small, Build Habits, Pick Your Team: Andrew Ng's Practical Advice for Learning Deep LearningInvité : Andrew Ng · Anime : 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.Modèles et entraînementDeep LearningFondamentaux du ML+3