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5 diapositivas26:05EN
MBMatthew Berman· 31 mar 2025Inside Claude: What Interpretability Research Reveals—and What It Cannot Yet ExplainMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s case studies on multilingual features, planning, arithmetic, hallucinations and safety.AI researchModelos y entrenamientoAI Safety+1
2 diapositivas18:54EN
MBMatthew Berman· 2 oct 2024AI News in October 2024: DevDay, Leadership Changes and New ModelsMatthew Berman · Forward FutureMatthew Berman reviews OpenAI developer announcements, a vetoed California bill, Pika 1.5 and Liquid AI models.AI researchOpenAIAI Regulation+2
5 diapositivas19:38EN
MBMatthew Berman· 9 sept 2024Reflection 70B: Conflicting Results and Unanswered QuestionsMatthew Berman · Forward FutureMatthew Berman reviews his early coverage, independent evaluations and competing claims about the September 2024 release.BenchmarksOpen-weight modelsEvaluaciones+2
2 diapositivas16:06EN
MBMatthew Berman· 9 ago 2024Q* and Strawberry: What Was Known and Speculated in August 2024Matthew Berman · Forward FutureMatthew Berman reviews contemporary rumors and research concepts around reasoning, search and self-play, while the underlying project remained undisclosed.Modelos y entrenamientoAI researchAGI
3 diapositivas16:06EN
MBMatthew Berman· 18 jun 2024AI News: Video Generation, Apple Intelligence, Robotics and DeepSeek Coder V2Matthew Berman · Forward FutureMatthew Berman reviews a week of launches and research, from Luma and Runway to NVIDIA, robotics and coding models.Generative mediaRoboticsOpen-weight models+1
3 diapositivas18:47EN
MBMatthew Berman· 7 abr 2024What Anthropic’s Many-Shot Jailbreaking Research FoundMatthew Berman · Forward FutureMatthew Berman reviews a 2024 study of long-context safety failures and the limits of its tested mitigations.AI SafetyAgent red teamingIngeniería de contexto+1
2 diapositivas21:16EN
MBMatthew Berman· 9 mar 2024ArtPrompt: What a 2024 Study Found About Visual Text and Model SafetyMatthew Berman · Forward FutureMatthew Berman reviews an ASCII-art recognition benchmark and reports mixed results from his own informal tests.AI SafetySeguridadEvaluaciones+1
7 diapositivas15:56EN
MBMatthew Berman· 21 feb 2024Sora, World Models, and the Speculation Around Simulated RealityMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s early Sora videos and researchers’ ideas about learned physics, future games, and simulation theory.World modelsGenerative mediaSimulation Hypothesis+2
26:02EN
Lex Fridman· 9 feb 2020PódcastMoore’s Law Is Not Dead—It Is a Cascade of S-CurvesPresenta: Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.Infraestructura y despliegueSemiconductorsScaling Laws+3
18:46EN
Lex FridmanPódcastDeep Learning Plus One Idea: Ilya Sutskever on Building AGIPresenta: 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.Modelos y entrenamientoAGIReinforcement Learning+3
22:59EN
Lex FridmanPódcastPenrose on Why Consciousness Can't Be a ComputationPresenta: Lex FridmanRoger Penrose explains how a dissatisfaction with AI optimism, a tip about microtubules and a rethink of quantum mechanics led him to Orch OR.Philosophy of MindConsciousness & IntelligenceAI research+3
17:40EN
Lex FridmanPódcastFrom AlphaGo Zero to MuZero: How Self-Play Strips Knowledge Out of AIPresenta: 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.Modelos y entrenamientoReinforcement LearningAI research+3
16:41EN
Lex FridmanPódcastAlphaFold 2 and the Protein-Folding Breakthrough: Why Lex Fridman Calls It a Landmark for AI and BiologyPresenta: Lex FridmanA quick explainer on DeepMind's CASP14 result, how protein folding works, how AlphaFold 1 and 2 likely differ, and what the advance could unlock.Modelos y entrenamientoAI for scienceDeep Learning+2
20:36EN
Lex FridmanPódcastWhy Simple Theories Win: Marcus Hutter on Occam's Razor, Compression and Kolmogorov ComplexityPresenta: Lex FridmanDeepMind researcher Marcus Hutter explains Solomonoff induction, why compression equals understanding, and how a simple universe can still look rich.Modelos y entrenamientoFundamentos de MLAI research+3
20:50EN
Lex FridmanPódcastGlitches as Features: What John Hopfield Says Artificial Neural Networks Are MissingPresenta: Lex FridmanIn a short conversation with Lex Fridman, physicist and neural-network pioneer John Hopfield compares evolved brains with today's artificial networks and explains why he expects AI to borrow from biology generation after generation.Modelos y entrenamientoNeuroscience & AIFundamentos de ML+3
26:51EN
Lex FridmanPódcastA Walking Skeleton in a Beautiful Face: Ben Goertzel on What Sophia Really IsPresenta: Lex FridmanThe former Hanson Robotics chief scientist explains how Sophia works, why she is not AGI, and why he thinks the illusion can still be put to good use.Multimodal y mediosAGIRobotics+3