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1:43:26ZH
Zhang Xiaojun Podcast· 3. Nov. 2025Podcast · 2 Stimmen杨松琳：线性注意力、Kimi Linear 与高效架构的探索Gast: Songlin Yang（松琳） · Moderation: 张小珺从 KDA、稀疏注意力到硬件优化，一位研究者梳理模型架构的演进和取舍。
32:22EN
Matthew Berman· 16. Okt. 2025Qwen Image Edit Plus Compared With Nano Banana, Seedream and GPT Image 1Matthew Berman · Forward FutureMatthew Berman compares four image-editing models across compositing, precise edits, style transfer, object removal and weather effects.
1:29:30EN
Cognitive Revolution "How AI Changes Everything"· 14. Okt. 2025Podcast2,500 Compounds and a 51 Percent Hit Rate: How a Small Graph Net Found New AntibioticsModeration: Nathan LabenzMIT's Jim Collins tells Nathan Labenz how a bootlegged 2018 project, a binary growth-inhibition label, and Chemprop graph networks pulled novel antibiotics out of chemical space that labs could never screen by hand.
36:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 9. Okt. 2025Podcast · 2 StimmenSTaR's Author Wants Models With EQ, Not Just More IQModeration: Sarah Guo, Elad GilEric Zelikman, the Stanford and xAI researcher behind STaR and Quiet-STaR, launches humans& on the bet that three years of IQ scaling left models emotionally unintelligent.
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.
1:22:07ENCognitive Revolution "How AI Changes Everything"· 25. Sept. 2025PodcastEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%Moderation: Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.
1:39:39ZHZhang Xiaojun Podcast· 30. Aug. 2025Podcast · 2 Stimmen杨植麟：Kimi K2、智能体泛化与无尽的技术攀登Gast: 杨植麟 · Moderation: 张小珺月之暗面创始人回顾 K2 的研发，并讨论智能体训练、产品与组织。
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.
57:52EN
Unsupervised Learning: With Jacob Effron· 13. Aug. 2025PodcastThey Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.Moderation: Jacob EffronJoshua Meier on three waves of AI drug discovery, why Chai-2 behaves like Photoshop for molecules, and why a 1% hit rate was supposed to be enough to change the industry.
40:32ENMatthew Berman· 7. Aug. 2025Mark Chen on GPT-5, Synthetic Data and the Future of AI ResearchMatthew Berman, Mark Chen · Forward FutureOpenAI’s head of research discusses training, agents, open-weight releases and evaluation with Matthew Berman in August 2025.
30:11EN
Sequoia 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.
2:20:45ZHZhang Xiaojun Podcast· 30. Juli 2025Podcast · 2 Stimmen郑博元解读 Kimi K2 与智能体训练：数据、奖励和系统工程Gast: 郑博元 · Moderation: 张小珺从合成轨迹和强化学习到浏览器环境与上下文工程，研究者比较 2025 年的几份技术报告。
1:07:41EN
20VC with Harry Stebbings· 21. Juli 2025Podcast · 2 StimmenEdwin Chen on Building Surge and the Data Behind AI ModelsGast: Edwin Chen · Moderation: Harry StebbingsThe Surge founder discusses a bootstrapped business, training-data quality and the limits he sees in AI benchmarks and synthetic data.
47:05ENMatthew Berman· 21. Juli 2025Logan Kilpatrick on AI Developers, Interfaces, and the Future of ModelsMatthew Berman, Logan Kilpatrick · Forward FutureIn a July 2025 conversation, Google’s Logan Kilpatrick discusses Windsurf, agent interfaces, coding skills, Veo, and the shifting boundary between models and application scaffolding.
49:55ENMatthew Berman· 17. Juli 2025Aravind Srinivas on Comet, AI Browsers and the Future of WorkMatthew Berman, Aravind Srinivas · Forward FuturePerplexity’s CEO explains why the company built a browser, how it evaluates models and why he expects AI to disrupt jobs.
38:10ENCognitive Revolution "How AI Changes Everything"· 16. Juli 2025PodcastPlus Five for Format, Plus Ten if It CompilesModeration: Nathan LabenzPredibase CEO Dev Rishi explains how reinforcement fine-tuning, production feedback, and narrow specialist models turn one-off training into systems that keep learning.
1:42:06ENCognitive Revolution "How AI Changes Everything"· 8. Juli 2025PodcastEvery Frontier Lab Is Spending a Billion a Year on Data. Here Is Where It GoesModeration: Nathan LabenzLabelbox CEO Manu Sharma on the $15 billion Scale deal, RL “gyms,” $250,000 trainers, and why post-training now eats the budget that used to belong to pre-training.
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.
48:51ENSequoia Capital· 17. Juni 2025PodcastThe Breakthroughs for AGI Are Already Done, Says OpenAI’s Former Research HeadBob McGrew tells Sequoia’s Training Data that 2025 is the year of reasoning, agents will be priced at the cost of compute, and nothing fundamental will be added to the stack by 2035.
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.
2:12:00ENCognitive Revolution "How AI Changes Everything"· 15. Mai 2025PodcastGradient Descent at Test Time: Titans Pushes LLM Context to 10 Million TokensModeration: Nathan LabenzA Cornell PhD student's neural memory module holds about 70% accuracy where GPT-4's scores fall off a cliff.
47:00ENUnsupervised Learning: With Jacob Effron· 8. Mai 2025PodcastAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadeModeration: Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.
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.
58:11ENSequoia Capital· 15. Apr. 2025PodcastPatrick Hsu Wants an App Store for Biology, Not Just Better DrugsThe Arc Institute co-founder argues that Evo 2, trained on genomes rather than proteins, should underpin tools for every step of the scientific method.Mehr laden24 von 235 angezeigt