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51:00EN
20VC with Harry Stebbings· 29 abr 2024Pódcast · 2 vocesArthur Mensch on Mistral’s Open Models, Compute and Developer StrategyInvitado: Arthur Mensch · Presenta: Harry StebbingsThe Mistral AI co-founder explains the company’s mix of open and commercial models, its compute constraints and its bet on efficient developer tools.
1:42:17EN
Cognitive Revolution "How AI Changes Everything"· 20 abr 2024PódcastThe Cheapest Inference Provider Is the Most DangerousPresenta: Nathan LabenzFireworks AI cofounders Lin Qiao and Dmytro Ivchenko explain why subsidized GPU bills vanish, how LoRA serving can cut cost a hundredfold, and why OpenAI is the rival that actually matters.
52:06EN
Matthew Berman· 16 mar 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.
2:47:17EN
Lex Fridman· 7 mar 2024Pódcast · 2 vocesIf You Want Human-Level AI, Abandon Generative ModelsInvitado: Yann Lecun · Presenta: 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.
35:22ENMatthew Berman· 3 ene 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.
2:16:27ENCognitive Revolution "How AI Changes Everything"· 12 dic 2023PódcastSuperhuman Go Has a Blind Spot. Balaji Bets on a War of the GodsPresenta: 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.
33:23EN20VC with Harry Stebbings· 24 nov 2023Pódcast · 11 vocesAI Leaders Debate Open Models, Pricing and the Future of SearchInvitado: Emad Mostaque, Des Traynor, Jeff Seibert, Yann Lecun, Richard Socher, Cris Valenzuela, Douwe Kiela, Tomasz Tunguz, Miles Grimshaw, Christian Lanng · Presenta: Harry StebbingsA compilation of separate interviews brings together competing 2023 predictions about model economics, assistants and the largest technology companies.
32:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 nov 2023Pódcast · 2 vocesA 7-billion-parameter model on a MacBook: Mistral's CEO reruns the cost of AIPresenta: 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.
1:14:36ENCognitive Revolution "How AI Changes Everything"· 13 oct 2023PódcastZulu Bypasses GPT-4, and a Hundred Examples Undo the GuardrailsPresenta: Nathan LabenzNathan Labenz reads seven papers — four hopeful, three not — on whether anyone can actually keep a language model under control.
1:04:38ENLex Fridman· 28 sept 2023Pódcast · 2 vocesHundreds of Miles Apart, Zuckerberg and Fridman Sat Close Enough to See the WrinklesInvitado: Mark Zuckerberg · Presenta: 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.
30:03ENNo Priors: AI, Machine Learning, Tech, & Startups· 7 sept 2023Pódcast · 2 vocesA Dinner-Plate Chip Cut Training From 60 Days to 3.5Presenta: 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.
52:48ENCognitive Revolution "How AI Changes Everything"· 25 ago 2023PódcastOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the ListPresenta: 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.
59:36ENMatthew Berman· 27 jun 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.
59:28ENCognitive Revolution "How AI Changes Everything"· 16 jun 2023PódcastFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced ProductPresenta: Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.
2:41:58ENLex Fridman· 8 jun 2023Pódcast · 2 vocesZuckerberg showed up as Mark Elliott — then argued for many AIs, not oneInvitado: Mark Zuckerberg · Presenta: 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.
1:20:49ENCognitive Revolution "How AI Changes Everything"· 25 may 2023PódcastA Wafer-Scale Chip So AI Stops Waiting on AmdahlPresenta: 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.
1:11:11EN20VC with Harry Stebbings· 17 may 2023Pódcast · 2 vocesEmad Mostaque on Open AI Models, National Data and the Race to DeployInvitado: Emad Mostaque · Presenta: Harry StebbingsThe Stability AI co-founder describes his 2023 vision for open models, healthcare applications and AI businesses, alongside concerns about a speculative boom.
1:06:02EN20VC with Harry Stebbings· 15 may 2023Pódcast · 2 vocesYann LeCun on Open AI Models, Safety and the Future of ResearchInvitado: Yann Lecun · Presenta: Harry StebbingsMeta’s chief AI scientist discusses language models, research priorities and his contested views on AI risk and employment.
1:13:52ENMatthew Berman· 15 abr 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.
40:25ENNo Priors: AI, Machine Learning, Tech, & Startups· 6 abr 2023Pódcast · 2 vocesA 6-Billion-Parameter Clone of ChatGPT’s Core TrickPresenta: 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.
1:21:20ENCognitive Revolution "How AI Changes Everything"· 9 mar 2023PódcastFreeze the eyes and the brain. Train only the optic nerve.Presenta: 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.
53:37ENNo Priors: AI, Machine Learning, Tech, & Startups· 9 mar 2023Pódcast · 2 voces30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language modelsPresenta: Sarah Guo, Elad GilA PubMed-only model once led the U.S. medical licensing exam — until a system roughly 200 times larger overtook it.
37:26ENNo Priors: AI, Machine Learning, Tech, & Startups· 23 feb 2023Pódcast · 2 vocesWithout Open Source, Machine Learning Would Be Decades BehindPresenta: 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.
45:03ENNo Priors: AI, Machine Learning, Tech, & Startups· 16 feb 2023Pódcast · 2 vocesEmad Mostaque’s bet: open small models, not one giant brainPresenta: 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.Cargar másMostrando 24 de 116