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1:49:41EN
Cognitive Revolution "How AI Changes Everything"· 21. Nov. 2024PodcastA Team of Fifteen Matched Meta’s Post-Training on Meta’s Own BaseModeration: Nathan LabenzNathan Lambert walks through Tulu 3: the three-stage recipe, the 1 percent versus 14 percent lesson, and why open post-training now lives or dies on data and evals.
5:15:00EN
Lex Fridman· 11. Nov. 2024Podcast · 2 StimmenDario Amodei Has Seen This Scaling Movie Enough TimesGast: Dario Amodei · Moderation: Lex FridmanAnthropic’s CEO puts numbers on frontier training costs and AGI, then hands the mic to the people who shape Claude’s character and look inside its weights.
0:35ENAn 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.
2:24:18ENCognitive Revolution "How AI Changes Everything"· 30. Okt. 2024PodcastMMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.Moderation: Nathan LabenzZyphra’s training lead walks through Zamba 2’s hybrid architecture, the evals that actually matter, and the trade secrets small labs still have to rediscover.
41:42EN
Sequoia Capital· 22. Okt. 2024PodcastNeural Networks Are Still Waiting for Their ThermodynamicsOpenAI researcher Dan Roberts on why physicists keep migrating into AI, and why the field still lacks the equivalent of the ideal gas law.
1:19:00EN
20VC with Harry Stebbings· 7. Okt. 2024Podcast · 2 StimmenEiso Kant on Poolside, Compute and AI for Software DevelopmentGast: Eiso Kant · Moderation: Harry StebbingsPoolside’s CTO explains code-execution feedback, the cost of model development and his company’s ambitions in the AI race.
1:06:48EN
Unsupervised Learning: With Jacob Effron· 3. Okt. 2024Podcasto1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning PointModeration: Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.
45:22ENSequoia Capital· 2. Okt. 2024PodcastAlphaGo Thought 30 Seconds a Move. o1 Made “Think Longer” GeneralOpenAI researchers Noam Brown, Ilge Akkaya, and Hunter Lightman on teaching language models to reason, the generator-verifier gap, and a second scaling curve at inference time.
9:15ENLlama 3.2 Adds Vision and Smaller On-Device ModelsMatthew Berman · Forward FutureIn a Meta-partnered 2024 video, Matthew Berman reviews the model family, its tooling and a brief hosted 1B demonstration.
39:45ENSequoia Capital· 24. Sept. 2024PodcastHarmonic’s Bet: Teach AI Math Directly, and the Riemann Hypothesis Falls by 2029Robinhood’s Vlad Tenev and Harmonic co-founder Tudor Achim tell Sequoia why math is reasoning, why Lean is the verifier, and why they refuse to wait for mathematical skill to emerge from scale.
1:18:32ENCognitive Revolution "How AI Changes Everything"· 20. Sept. 2024PodcastA DNA Model That Can Tell Which Genes You Cannot TouchModeration: Nathan LabenzStanford's Brian Hie walks through hybrid architectures, a genome-scale language model trained only on DNA, and an antibody that binds 25 times tighter than nature.
0:54ENOpenAI’s o1 Preview: A First Look at Longer ReasoningMatthew Berman · Forward FutureMatthew Berman introduces the o1-preview and o1-mini models and tries a Python game prompt.
35:30ENReflection 70B: Its Creators Explain the Proposed Self-Correction MethodMatthew Berman, Matt Shumer, Sahil Chaudhary · Forward FutureA launch-day discussion with Matt Shumer and Sahil Chaudhary covers synthetic data, selective reflection and evaluation limits.
1:03:46EN20VC with Harry Stebbings· 4. Sept. 2024Podcast · 2 StimmenZico Kolter on AI Safety, Scaling and the Limits of Open ModelsGast: Zico Kolter · Moderation: Harry StebbingsThe Carnegie Mellon researcher and OpenAI board member explains why prompt injection worries him, how he thinks about open weights, and why AI progress remains uncertain.
50:20EN20VC with Harry Stebbings· 28. Aug. 2024Podcast · 2 StimmenArvind Narayanan on AI Scaling, Real-World Risks and the Limits of Model BenchmarksGast: Arvind Narayanan · Moderation: Harry StebbingsThe Princeton professor challenges simple claims about scaling, AGI timelines and AI adoption while discussing deepfakes, healthcare, education and security.
9:43ENMatthew Berman Tests Jamba 1.5 on Coding and Reasoning PromptsMatthew Berman · Forward FutureA 2024 hands-on test of AI21’s hybrid model finds slow output in one hosted session and mixed answers to a small set of prompts.
1:03:26EN20VC with Harry Stebbings· 19. Aug. 2024Podcast · 2 StimmenAidan Gomez on Model Scaling, Data and Enterprise AIGast: Aidan Gomez · Moderation: Harry StebbingsThe Cohere CEO discusses the economics of foundation models, enterprise adoption, AI agents and the future he hopes the technology will enable.
1:33:07ZH
Zhang Xiaojun Podcast· 17. Aug. 2024Podcast · 2 Stimmen广密复盘全球大模型这一年：Scaling Law、AGI 豪赌与中美格局Gast: 李广密 · Moderation: 张小珺拾象创始人李广密从硅谷一线观察出发，回顾 OpenAI、Anthropic、Google 与中国模型公司的竞争。他认为，模型能力与成本共同决定新一轮应用爆发，而巨额投入押注的是智能能否持续扩展以及 AI 对经济和产业的长期重构。
49:41ZHZhang Xiaojun Podcast· 17. Aug. 2024Podcast · 3 Stimmen傅盛：大模型是生产力革命，机器人迎来新的窗口Gast: 傅盛 · Moderation: 张小珺傅盛认为，大模型的核心是逻辑与推理能力，它带来的变化更像蒸汽机，而不是一次普通的互联网迭代。从平民化模型、服务机器人到创业者如何面对低谷，他也回看了自己的判断与心境。
2:04:15ENCognitive Revolution "How AI Changes Everything"· 14. Aug. 2024PodcastA parrot cannot paraphrase — and Claude cannot be talked into harmModeration: Nathan LabenzRobert Wright of the Nonzero podcast interviews Nathan Labenz on whether large language models understand anything, what Anthropic’s 10 million features actually show, and why open weights collide with U.S.–China policy.
16:06ENQ* 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.
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 1. Aug. 2024Podcast · 2 StimmenOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are NumberedModeration: Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.
13:40ENTesting Llama 3.1 8B: Benchmark Gains and Mixed Practical ResultsMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and other prompts on the small model and finds several failures despite stronger reported benchmarks.
0:58ENNVIDIA NIM: Containerized AI Inference MicroservicesMatthew Berman · Forward FutureA sponsored overview of NVIDIA’s approach to packaging model inference for local and cloud applications.
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