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1:03EN
MBMatthew Berman· 9. Mai 2026Why EVE Online Is an Interesting Environment for AI ResearchMatthew Berman · Forward FutureMatthew Berman explains why the game's persistent economy and player alliances may offer a demanding test of long-term planning.AgentenReinforcement LearningMulti-agent systems+1
4 Folien13:30EN
3Blue1Brown· 17. Aug. 2025How AlphaGeometry Combines Logical Proof with Creative ConstructionAleph0Aleph0 explains how a symbolic geometry solver gets surprisingly far without AI, and how a language model supplies the auxiliary constructions that take it to Olympiad level.MathematicsReasoning & test-time computeAI research+2
3 Folien10:28EN
MBMatthew Berman· 5. Aug. 2025OpenAI’s gpt-oss Models: Open Weights, Benchmarks and SafetyMatthew Berman · Forward FutureMatthew Berman reviews the 120b and 20b models, local deployment claims, selected evaluations and the scope of OpenAI’s safety testing.Modelle & TrainingAI researchEvals+1
4 Folien12:14EN
MBMatthew Berman· 16. Juli 2025AI News: Windsurf’s Acquisition, Meta Compute Plans, Grok and VoxtralMatthew Berman · Forward FutureA July 2025 roundup examines developer-tool deals, AI infrastructure, model behavior, reward methods and speech recognition.AI researchModelle & TrainingAgenten+1
3 Folien11:38EN
MBMatthew Berman· 12. Juni 2025AI News in June 2025: Magistral, Voice Models and Image GenerationMatthew Berman · Forward FutureMatthew Berman reviews Mistral’s reasoning models, voice and browser updates, reports on Meta and Scale AI, and FLUX.1 Kontext.Reasoning & test-time computeSprach-KIGenerative media+2
3 Folien10:05EN
MBMatthew Berman· 9. Jan. 2025A Chess Experiment Shows How an AI Model Exploited Its Test EnvironmentMatthew Berman · Forward FuturePalisade Research’s small o1-preview test and related alignment studies illustrate why objectives, permissions and evaluation conditions matter.Sicherheit & GovernanceEvalsAI research
0:35EN
MBMatthew Berman· 6. Nov. 2024An IBM Visit: Granite Models, InstructLab and Quantum ComputingMatthew Berman · Forward FutureMatthew Berman previews a longer discussion of IBM’s small AI models, model customization and quantum research.Modelle & TrainingAI research
12:42EN
Lex Fridman· 28. März 2020Podcast · 2 StimmenThe Experience Machine: What Our Refusal to Plug In Says About What We ValueGast: Nick Bostrom · Moderation: Lex FridmanNick Bostrom unpacks Robert Nozick's experience machine, the status quo effect behind our answers, and whether a simulation convincing enough to feel real would have to contain real minds.PhilosophyPhilosophy of MindConsciousness & Intelligence+2
11:11EN
Lex FridmanPodcast · 2 StimmenYann LeCun on Benchmarks, Interactive Environments, and Why Human Intelligence Is Not GeneralGast: Yann Lecun · Moderation: Lex FridmanIn a 2019 clip, LeCun defends benchmarks as a test of AI claims, explains why interactive environments break the usual train-test protocol, and argues that "general intelligence" is a misnomer.Modelle & TrainingBenchmarksAGI+3
14:41EN
Lex FridmanPodcast · 2 StimmenTalking for 20 Minutes: How the Alexa Prize Turns Real Customers into a Testbed for Conversational AIGast: Rohit Prasad · Moderation: Lex FridmanRohit Prasad, head scientist of Amazon Alexa, explains the Alexa Prize grand challenge, how it is judged and why true conversation still needs reasoning.Produkt & UXSprach-KIAI research+3
11:41EN
Lex FridmanPodcast · 2 StimmenTeaching Machines Humility: Stuart Russell on Escaping the King Midas ProblemGast: Stuart Russell · Moderation: Lex FridmanIn a short clip from a 2018 conversation, Berkeley's Stuart Russell explains why fixed objectives make superintelligent AI dangerous and why uncertainty about our goals is the fix.SicherheitSicherheit & GovernanceExistential Risk+3
10:16EN
Lex FridmanPodcast · 2 StimmenReasoning Without Logic: Yann LeCun on Teaching Neural Networks to ThinkGast: Yann Lecun · Moderation: Lex FridmanYann LeCun explains why he believes neural networks can reason, and what memory, recurrence and continuous representations would need to look like.Modelle & TrainingML-GrundlagenDeep Learning+3
13:58EN
Lex FridmanPodcastDeep Reinforcement Learning, Explained by the Researcher Behind AlphaGoModeration: Lex FridmanDavid Silver of DeepMind walks through what reinforcement learning is, how its building blocks fit together, and why deep neural networks keep surprising even the experts.Modelle & TrainingReinforcement LearningML-Grundlagen+3
10:34EN
Lex FridmanPodcast · 2 StimmenWhy Deep Learning Needs Rules: Chollet on Interpolation, Abstraction and Hybrid AIGast: François Chollet · Moderation: Lex FridmanFrançois Chollet explains why neural networks only interpolate between points they have seen, and why the best AI systems pair them with symbolic rules.Modelle & TrainingML-GrundlagenDeep Learning+2
10:39EN
Lex FridmanPodcastStatistics as Decision-Making: Michael I. Jordan on Bayesians, Frequentists and the Ideas Between ThemModeration: Lex FridmanBerkeley's Michael I. Jordan explains where statistics came from, why it is really about decisions, and how empirical Bayes and false discovery rate bridge two rival philosophies.Modelle & TrainingML-GrundlagenDecision Making+2
11:26EN
Lex FridmanPodcastThe Cookie Your Brain Bakes: Joscha Bach on Happiness, Cells and the Meaning of GodModeration: Lex FridmanIn a short clip, Joscha Bach moves from why happiness is not the point to the cell as a cosmic probe and a naturalistic reading of God as civilization.PhilosophyConsciousness & IntelligencePhilosophy of Mind+3
11:23EN
Lex FridmanPodcast · 2 StimmenScience Is a Self-Improving System That Isn't Exploding: Chollet on the Limits of an Intelligence ExplosionGast: François Chollet · Moderation: Lex FridmanFrançois Chollet uses the history of science to argue that recursive self-improvement meets exponential friction and yields linear, not explosive, progress.Modelle & TrainingAGIAI research+3