Ergebnisse
217 ArtikelSortieren
1:04:51EN
Cognitive Revolution "How AI Changes Everything"· 1. Feb. 2026Podcast125 million cells took a decade. The next billion takes monthsModeration: Nathan LabenzMark Zuckerberg and Priscilla Chan on pairing a frontier biology lab with a frontier AI lab so models train on data that was designed for them.
1:03:00EN
Unsupervised Learning: With Jacob Effron· 29. Jan. 2026PodcastA Model That Solves New Math Problems Every Week Still Isn't AGIModeration: Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.
2:25:10ENCognitive Revolution "How AI Changes Everything"· 22. Jan. 2026PodcastFine-Tuning Isn't Dead — But It Turned a Helpful Model EvilModeration: Nathan LabenzNathan Labenz on why prompting replaced fine-tuning for most work, what emergent misalignment actually showed, and how he is thinking about jobs, UBI, and AGI.
37:00EN
Sequoia Capital· 14. Jan. 2026PodcastThe AlphaChip Team That Laid Out Four TPUs Now Wants Every Company to Be DesignlessAnna Goldie and Azalia Mirhoseini tell Sequoia how an RL floorplanner survived TPU-team anger, learned to draw donut-shaped macros, and became a bet that AI will design chips that then feed AI.
1:55:02ENCognitive Revolution "How AI Changes Everything"· 4. Jan. 2026PodcastAn Index Fund on AGI: How MATS Filters the Next 120 AI Safety ResearchersModeration: Nathan LabenzRyan Kidd, co-executive director of MATS, tells Nathan Labenz why he will not shout a timeline, why every safety technique is also a capabilities technique, and who actually gets hired.
1:18:15ENCognitive Revolution "How AI Changes Everything"· 27. Dez. 2025PodcastIf AI Becomes a Being, Steering It Is SlaveryModeration: Nathan LabenzEmmett Shear and DeepMind's Séb Krier clash over whether alignment means controlling a tool or raising a creature that cares.
1:58:48ENCognitive Revolution "How AI Changes Everything"· 18. Dez. 2025PodcastARC Went from $1,000 a Task to Pocket Change. That Is Not a Normal Year of AIModeration: Nathan LabenzCognitive Revolution’s first live show compresses nine conversations into a year-end scan of denial, sample efficiency, companions, memory, Gemini 3 Flash, and scientific judgment.
1:18:05ENUnsupervised Learning: With Jacob Effron· 18. Dez. 2025PodcastThe Real Bottleneck in AI Research Is Compute, Not IdeasModeration: Jacob EffronAfter NeurIPS, Ari Morcos and Rob Toews sit down with Jacob Effron to argue about plateauing models, SSI’s secrecy, OpenAI’s cash burn, and a set of spicy 2026 bets.
1:04:50ENCognitive Revolution "How AI Changes Everything"· 25. Nov. 2025PodcastUseful AI Work Is Doubling Every Four Months. Schools Should Plan Accordingly.Moderation: Nathan LabenzIn a keynote to K-12 educators, Cognitive Revolution host Nathan Labenz argued that task length, not chat quality, is the number that should reshape how schools think.
1:11:18ENCognitive Revolution "How AI Changes Everything"· 12. Nov. 2025PodcastHe Got Bored Five Minutes Into a Waymo. Nathan Labenz Says That's the PointModeration: Nathan LabenzOn a crossover with the Existential Hope podcast, the Cognitive Revolution host argues that the scarcest resource in AI is a positive picture of daily life, not another doom scenario.
2:27:18ENCognitive Revolution "How AI Changes Everything"· 5. Nov. 2025PodcastTurn Down AI's Deception Knob, and It Starts Reporting ExperienceModeration: Nathan LabenzCameron Berg of AE Studio tells Nathan Labenz how suppressing deception features in Llama 3.3 70B pushed self-reports of subjective experience toward 100 percent.
1:01:49ENCognitive Revolution "How AI Changes Everything"· 2. Okt. 2025PodcastChatGPT's Co-Creator Left to Put Nature in the Reward LoopModeration: Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.
2:02:17ENCognitive Revolution "How AI Changes Everything"· 27. Aug. 2025PodcastSAEs Find the Nouns. Parameter Decomposition Looks for the VerbsModeration: Nathan LabenzGoodfire's Lee Sharkey argues that sparse autoencoders recover a network's variables, not the algorithms those variables run, and shows how stochastic parameter decomposition tries to recover the computations themselves.
30:11ENSequoia Capital· 30. Juli 2025PodcastFrom 12 Percent on AIME to IMO Gold in Two MonthsAlex Wei, Sheryl Hsu, and Noam Brown tell Sequoia's Sonya Huang how a three-person OpenAI sprint used general-purpose reinforcement learning, not Lean, to reach gold-level on the 2025 International Mathematical Olympiad.
41:13ENSequoia Capital· 11. Juli 2025PodcastFrom 49 Multiplications to 48: DeepMind’s AI Rewrites a Fifty-Year Math RecordPushmeet Kohli explains how AlphaEvolve couples Gemini with evaluators to invent algorithms, prove old conjectures, and change which scientific problems are even worth attempting.
47:07ENSequoia Capital· 8. Juli 2025PodcastGoodfire’s Eric Ho thinks we will decode neural nets by 2028On Sequoia’s Training Data, the interpretability founder argues that sparse autoencoders, model editing, and a third-party lab are how AI stops being grown from data and starts being designed.
1:25:32ENCognitive Revolution "How AI Changes Everything"· 2. Juli 2025Podcasto3 Invented a Voting Rule and Kept the Job: Four Weeks Inside the AI VillageModeration: Nathan LabenzAdam Binksmith on putting Claude, o3, and Gemini in a shared world for weeks—and why most people still imagine multi-agent life as one AI times four.
42:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 26. Juni 2025Podcast · 2 StimmenAlphaEvolve found algorithms humans missed for 50 years — then sped up Gemini 23%Moderation: Sarah Guo, Elad GilGoogle DeepMind’s Pushmeet Kohli and Matej Balog tell No Priors how an evolutionary coding agent searches algorithm space the way AlphaGo searched Go.
1:37:05ENCognitive Revolution "How AI Changes Everything"· 19. Juni 2025PodcastAn Algebraic Geometer Quit Tenure Because the Bowl-Shaped Loss Plot Is a LieModeration: Nathan LabenzJesse Hoogland and Daniel Murfet of Timaeus argue that singularities in the loss landscape — not the smooth valleys in every slide deck — are what actually govern how neural networks learn, generalize, and go wrong.
3:14:34EN
Lex Fridman· 14. Juni 2025Podcast · 2 StimmenIf ten things make a problem hard, Terence Tao turns nine of them offGast: Terence Tao · Moderation: Lex FridmanThe Fields Medalist walks Lex Fridman from the Kakeya needle and Navier-Stokes through Lean, Perelman, and why today's AI still cannot smell a dead-end proof.
1:12:29ENCognitive Revolution "How AI Changes Everything"· 4. Juni 2025PodcastGoogle's AI Co-Scientist Solved a Phage Puzzle Humans Missed for YearsModeration: Nathan LabenzImperial College scientists José Penadés and Tiago Costa told the Podovirus podcast how a still-unreleased Google system recovered their unpublished answer: tailless capsids that pick up stray phage tails.
1:54:08ENCognitive Revolution "How AI Changes Everything"· 29. Mai 2025PodcastWhy Anthropic's first check went to a company building microscopes for neural netsModeration: Nathan LabenzGoodfire's Dan Balsam and Tom McGrath argue that mechanistic interpretability now has a proto-paradigm, two stubborn gaps, and three products worth shipping today.
57:31ENUnsupervised Learning: With Jacob Effron· 22. Mai 2025PodcastThe New Ruler for Models Is How Long They Can WorkModeration: Jacob EffronOn Claude 4's launch day, Anthropic researcher Sholto Douglas argued that the next phase of AI is less about harder puzzles and more about hours of unsupervised work.
38:10ENNo Priors: AI, Machine Learning, Tech, & Startups· 1. Mai 2025Podcast · 2 Stimmeno3 should wait exactly as long as the answer takesModeration: Sarah Guo, Elad GilOpenAI researchers Eric Mitchell and Brandon McKinzie tell No Priors why o3's leap is a chain of tools during reasoning — and why you should send the same prompt a hundred times.Mehr laden24 von 217 angezeigt