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0:32EN
MBMatthew Berman· 21. Okt. 2026Sam Altman on the Continuing Demand for Software WorkSam Altman, Matthew Berman · OpenAIIn a short interview excerpt, Altman says demand for software may be larger than expected even as AI changes how it is made.Future of WorkSoftware engineeringCoding-Agenten
12:49EN
OpenAI· 7. Okt. 2026Alex Mashrabov: Higgsfield agents that choose models and launch their own GPUsAlex Mashrabov · HiggsfieldAt OpenAI DevDay 2026, Higgsfield's CEO walks through why a continuous media experience needs an agent that picks models, scores its own output, and provisions GPUs — including a live 10-hour AI stream small teams can now ship.AgentenInfrastruktur & DeploymentGenerative media+2
13:12EN
OpenAI· 7. Okt. 2026Alexandra Lato on Building Stack Overflow for Agents and Stack Internal with CodexAarti Bagul, Alexandra Lato · OpenAIStack Overflow’s VP of Product explains how a small team used Codex with opposite constraints on two products—and why agent-native design means letting agents contribute knowledge, not just read it.Coding-AgentenEnterprise-KIAgenten+2
0:33EN
MBMatthew Berman· 17. Sept. 2026Anthropic's IPO and AI Safety: A Question of ConsistencyMatthew Berman, Christian Catalini · Forward FutureIn a short interview excerpt, Matthew Berman and economist Christian Catalini question how a planned public offering relates to warnings about advanced AI risk.AI SafetyAnthropicInvesting
2 Folien10:36EN
MBMatthew Berman· 21. Nov. 2025Forward Future Live: An Opera Visit and NVIDIA EarningsMatthew Berman, Nick Wentz · Forward FutureMatthew Berman and Nick Wentz open their November 21, 2025 show with an opera story and a brief look at NVIDIA.AI StrategyInfrastruktur & Deployment
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
1:09EN
MBMatthew Berman· 3. Juli 2025A Discussion of GPT-4.5’s Scaling and TrainingA speaker offers an assessment of GPT-4.5’s cost, speed and alleged training challenges.Modelle & TrainingScaling Laws
0:57EN
MBMatthew Berman· 20. Juni 2025Sundar Pichai on Preparing for AI in Knowledge WorkMatthew Berman, Sundar Pichai · Forward FutureIn a short interview clip, Google's CEO suggests learning to use AI as an everyday assistant while work changes.Future of WorkHuman-AI CollaborationAI Adoption
0:49EN
MBMatthew Berman· 18. Juni 2025Sundar Pichai on AI Glasses and Project Astra’s MemorySundar Pichai · GoogleGoogle’s CEO discusses why glasses fit everyday AI interaction and describes testing Astra’s memory of an object.AI interface designMultimodal AIHuman-AI Collaboration
0:54EN
MBMatthew Berman· 16. Juni 2025Satya Nadella on Separating Personal and Work AI AgentsMatthew Berman, Satya Nadella · Forward FutureIn an interview excerpt, Microsoft CEO Satya Nadella discusses identity boundaries and the risk of data leakage between personal and corporate agents.Privacy & data governancePersonal agentsAI security
1:05EN
MBMatthew Berman· 29. Mai 2025Satya Nadella on AI, Productivity, and Cancer CareMatthew Berman, Satya Nadella · Forward FutureIn a short interview excerpt, the Microsoft CEO discusses the potential of cheaper AI to help coordinate healthcare work.AI in healthcareAI AdoptionProductivity
3 Folien7:17EN
JSJane Street· 13. Aug. 2024Erik and Martin Demaine on the Mathematics of Curved-Crease SculptureErik Demaine, Martin Demaine · MITThe MIT father-and-son collaborators turn paper folding into art and research, embedding puzzles and mathematical fonts in their sculpture Solve Me.MathematicsDesign
11:26EN
Lex Fridman· 11. Apr. 2020Podcast · 2 StimmenRichard Dawkins on Memes, the Internet and Why Wrong Ideas SpreadGast: Richard Dawkins · Moderation: Lex FridmanThe man who coined the word explains to Lex Fridman what makes a meme more than a metaphor, why the internet is a step change for ideas, and why an idea, like a peacock's tail, doesn't need to be true or useful to spread.EvolutionSocial MediaPhilosophy of Science
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
14:55EN
Lex Fridman· 29. Okt. 2019Podcast · 2 StimmenKasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the QuestionsGast: Garry Kasparov · Moderation: Lex FridmanGarry Kasparov revisits the 1997 loss to Deep Blue, explains why machines beat humans in closed systems, and argues that the human role is to pick the right questions and not interfere with superior machine knowledge.AI HistoryPhilosophyHuman-AI Collaboration+3
10:20EN
Lex FridmanPodcast · 2 StimmenHow C++ Is Standardized: Votes, Consensus and the Move to a Three-Year Release CycleGast: Bjarne Stroustrup · Moderation: Lex FridmanBjarne Stroustrup explains how the ISO committee works, why C++0x slipped to C++11, and how shorter cycles made C++14, C++17 and C++20 arrive on time.Open Source & CommunityProgramming LanguagesSoftware engineering+1
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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
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Lex FridmanPodcast · 2 StimmenWhy Donald Knuth Thinks P = NP and Why It Might Not MatterGast: Donald Knuth · Moderation: Lex FridmanKnuth explains how an algorithm can provably exist without anyone being able to write it down, and why that shapes his view of P versus NP.Mathematics
12:53EN
Lex FridmanPodcast · 2 StimmenPrinciples, Not Black Boxes: Ray Dalio on When to Trust AIGast: Ray Dalio · Moderation: Lex FridmanRay Dalio explains how Bridgewater turns human thinking into algorithms, why machine learning is risky when the future differs from the past, and why writing down principles is the route to better decisions.Unternehmen & StrategieAI StrategyDecision Making+3
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Lex FridmanPodcast · 2 StimmenThe Big Nap: Why Eric Weinstein Thinks the Pandemic Ends 75 Quiet YearsGast: The Big Nap · Moderation: Lex FridmanIn an April 2020 conversation, Eric Weinstein and Lex Fridman discuss what a global crisis reveals about collective action, fragility, and the institutions we treat as museum pieces.GeopoliticsPhilosophyHistory
10:24EN
Lex FridmanPodcast · 2 StimmenConcepts: How C++ Finally Got Compile-Time Constraints on TemplatesGast: Bjarne Stroustrup · Moderation: Lex FridmanBjarne Stroustrup explains what C++ concepts are, why they are real and shippable today, and why it took decades to get them right.Programming LanguagesSoftware engineeringCoding Culture
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