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52:06EN
Matthew Berman· 16. März 2024Yann LeCun on World Models, Open AI and the Path to Advanced IntelligenceMatthew Berman, Yann Lecun, Lex Fridman · Forward FutureMatthew Berman reacts to excerpts from LeCun’s 2024 conversation with Lex Fridman, covering language models, JEPA, robotics, AI safety and economic incentives.World modelsAI researchOpen-weight models+2
2:47:17EN
Lex Fridman· 7. März 2024Podcast · 2 StimmenIf You Want Human-Level AI, Abandon Generative ModelsGast: Yann Lecun · Moderation: Lex FridmanYann LeCun tells Lex Fridman why autoregressive LLMs cannot plan, remember, or understand the physical world — and why open source is the only democratic answer.Modelle & TrainingWorld modelsAGI+3
2 Folien35:22EN
Matthew Berman· 3. Jan. 2024Matthew Berman’s Ten AI Predictions for 2024Matthew Berman, Mark Zuckerberg, Lex Fridman, Jaron Lanier, Joon Park, Elon Musk · Forward FutureAn early-2024 forecast covers model releases, robotics, agents, synthetic data and the risks of increasingly convincing bots.AI researchOpen-weight modelsRobotics+2
2:16:27EN
Cognitive Revolution "How AI Changes Everything"· 12. Dez. 2023PodcastSuperhuman Go Has a Blind Spot. Balaji Bets on a War of the GodsModeration: Nathan LabenzBalaji Srinivasan tells Nathan Labenz why adversarial inputs, missing actuators, and cryptography make a single runaway AI god less likely than a contest among many that still need priests.Unternehmen & StrategieSicherheit & GovernanceOpen-weight models+3
33:23EN
20VC with Harry Stebbings· 24. Nov. 2023Podcast · 11 StimmenAI Leaders Debate Open Models, Pricing and the Future of SearchGast: Emad Mostaque, Des Traynor, Jeff Seibert, Yann Lecun, Richard Socher, Cris Valenzuela, Douwe Kiela, Tomasz Tunguz, Miles Grimshaw, Christian Lanng · Moderation: Harry StebbingsA compilation of separate interviews brings together competing 2023 predictions about model economics, assistants and the largest technology companies.Foundation ModelsOpen-weight modelsAI Strategy+2
32:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 9. Nov. 2023Podcast · 2 StimmenA 7-billion-parameter model on a MacBook: Mistral's CEO reruns the cost of AIModeration: Sarah Guo, Elad GilArthur Mensch tells No Priors why Chinchilla made small models valuable, why open-sourcing Mistral 7B is not a bioweapon risk, and why guardrails belong on the application.Open Source & CommunityOpen-source ecosystemsOpen-weight models+3
1:14:36EN
Cognitive Revolution "How AI Changes Everything"· 13. Okt. 2023PodcastZulu Bypasses GPT-4, and a Hundred Examples Undo the GuardrailsModeration: Nathan LabenzNathan Labenz reads seven papers — four hopeful, three not — on whether anyone can actually keep a language model under control.SicherheitAI securitySicherheit & Governance+3
1:04:38EN
Lex Fridman· 28. Sept. 2023Podcast · 2 StimmenHundreds of Miles Apart, Zuckerberg and Fridman Sat Close Enough to See the WrinklesGast: Mark Zuckerberg · Moderation: Lex FridmanLex Fridman sat in a dark room in Austin wearing a Quest headset; Mark Zuckerberg sat in another conference room, also wearing one, and it did not feel like a video call.Multimodal & MedienProduct StrategyHuman-AI Collaboration+3
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 7. Sept. 2023Podcast · 2 StimmenA Dinner-Plate Chip Cut Training From 60 Days to 3.5Moderation: Sarah Guo, Elad GilCerebras CEO Andrew Feldman tells No Priors why wafer-scale silicon, not another GPU, is the answer to the compute crunch — and why most production models will stay at 13 billion parameters or below.Infrastruktur & DeploymentInferenceAI cost & performance+3
52:48EN
Cognitive Revolution "How AI Changes Everything"· 25. Aug. 2023PodcastOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the ListModeration: Nathan LabenzNathan Labenz and Erik Torenberg walk through GPT-3.5 Turbo fine-tuning, why self-hosting still loses on total cost, and what is actually working in code, school, and medicine.Modelle & TrainingFine-TuningAI cost & performance+3
5 Folien59:36EN
Matthew Berman· 27. Juni 2023Pascal Pfeiffer on Retrieval, Open Models, Kaggle and Fine-Tuning with H2O LLM StudioMatthew Berman, Pascal Pfeiffer · Forward FutureIn a 2023 interview, H2O.ai’s Pascal Pfeiffer explains document retrieval and parameter-efficient fine-tuning, reflects on Kaggle competitions and demonstrates LLM Studio. He and Matthew Berman also consider coding assistants and unverified rumors about model architecture.Fine-TuningRetrieval-Augmented GenerationOpen-weight models+2
59:28EN
Cognitive Revolution "How AI Changes Everything"· 16. Juni 2023PodcastFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced ProductModeration: Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.Modelle & TrainingFine-TuningPretraining & midtraining+3
2:41:58EN
Lex Fridman· 8. Juni 2023Podcast · 2 StimmenZuckerberg showed up as Mark Elliott — then argued for many AIs, not oneGast: Mark Zuckerberg · Moderation: Lex FridmanOn his second Lex Fridman podcast, the Meta CEO treats a disguised first jiu-jitsu tournament, an open research model called LLaMA, and a future of many agents as the same bet: ship before it is perfect, and do not build a single god model.Unternehmen & StrategieOpen-source ecosystemsOpen-weight models+3
1:20:49EN
Cognitive Revolution "How AI Changes Everything"· 25. Mai 2023PodcastA Wafer-Scale Chip So AI Stops Waiting on AmdahlModeration: Nathan LabenzAndrew Feldman, CEO of Cerebras, tells Nathan Labenz why one 2.5-trillion-transistor die, sparse linear algebra, and a 16-machine supercomputer are a better shape than a GPU cluster.Infrastruktur & DeploymentInferenceAI cost & performance+3
1:11:11EN
20VC with Harry Stebbings· 17. Mai 2023Podcast · 2 StimmenEmad Mostaque on Open AI Models, National Data and the Race to DeployGast: Emad Mostaque · Moderation: Harry StebbingsThe Stability AI co-founder describes his 2023 vision for open models, healthcare applications and AI businesses, alongside concerns about a speculative boom.Foundation ModelsOpen-weight modelsAI in healthcare+2
1:06:02EN
20VC with Harry Stebbings· 15. Mai 2023Podcast · 2 StimmenYann LeCun on Open AI Models, Safety and the Future of ResearchGast: Yann Lecun · Moderation: Harry StebbingsMeta’s chief AI scientist discusses language models, research priorities and his contested views on AI risk and employment.AI researchAI SafetyOpen-weight models+2
1:13:52EN
Matthew Berman· 15. Apr. 2023Andriy Mulyar on GPT4All, Data Quality and Open Local ModelsMatthew Berman, Andriy Mulyar · Forward FutureThe Nomic AI co-founder explains how GPT4All emerged, why training data matters, and the tradeoffs between local and centralized AI.Local inferenceOpen-weight modelsData quality & curation+2
40:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 6. Apr. 2023Podcast · 2 StimmenA 6-Billion-Parameter Clone of ChatGPT’s Core TrickModeration: Sarah Guo, Elad GilDatabricks CTO Matei Zaharia tells Sarah Guo and Elad Gil how Dolly learned instruction-following on fifty times less data than GPT-3 — and why he would rather look facts up than bake them into a trillion-parameter network.Modelle & TrainingOpen-weight modelsFine-Tuning+3
1:21:20EN
Cognitive Revolution "How AI Changes Everything"· 9. März 2023PodcastFreeze the eyes and the brain. Train only the optic nerve.Moderation: Nathan LabenzJunnan Li and Dongxu Li tell Nathan Labenz how BLIP cleaned noisy web captions, and how BLIP-2 connected a frozen vision model to a frozen language model in under ten days on one A100.Multimodal & MedienMultimodal AIVision & Video+3
53:37EN
No Priors: AI, Machine Learning, Tech, & Startups· 9. März 2023Podcast · 2 Stimmen30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language modelsModeration: Sarah Guo, Elad GilA PubMed-only model once led the U.S. medical licensing exam — until a system roughly 200 times larger overtook it.Evals & ObservabilityAI researchFoundation Models+3
37:26EN
No Priors: AI, Machine Learning, Tech, & Startups· 23. Feb. 2023Podcast · 2 StimmenWithout Open Source, Machine Learning Would Be Decades BehindModeration: Sarah Guo, Elad GilHugging Face CEO Clem Delangue on the Tamagotchi pivot, why the company never hired a community manager, and why he does not believe one model will rule them all.Open Source & CommunityOpen-source ecosystemsOpen-weight models+3
45:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 16. Feb. 2023Podcast · 2 StimmenEmad Mostaque’s bet: open small models, not one giant brainModeration: Sarah Guo, Elad GilStability AI’s founder tells No Priors why foundation models should be public infrastructure, why small models can beat giant ones, and what that means for media, medicine, and AGI.Open Source & CommunityOpen-weight modelsMultimodal AI+3
40:00EN
Unsupervised Learning: With Jacob EffronPodcastThe Winds of Change: How Mistral Plans to Win the Open-Model EraModeration: Jacob EffronArthur Mensch explains Mistral's open-source strategy, enterprise distribution, model research, and views on AI regulation and sovereignty.Unternehmen & StrategieOpen-source ecosystemsAI Strategy+3
1:12:15EN
Unsupervised Learning: With Jacob EffronPodcastThe Open-Model Vibe Check: China, Containment, and the Data MoatModeration: Jacob EffronJacob Effron and guests debate Chinese open-weight models, distillation, containment policy, the OpenAI–Hugging Face incident, and Cursor's data advantage.Open Source & CommunityOpen-weight modelsOpen-source ecosystems+3
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