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1:42:16EN
Cognitive Revolution "How AI Changes Everything"· 4 juil. 2024Podcast267 Papers in Seven Months: Albert Gu Explains the State Space Model RevolutionAnime : Nathan LabenzThe Mamba co-author walks through five years of recurrent-model work, why selective compression beats a growing KV cache, and what Mamba 2 trades away to train faster.Modèles et entraînementTransformers & attentionInference+3
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No Priors: AI, Machine Learning, Tech, & Startups· 27 juin 2024Podcast · 2 voixFive Independent Teams Found the Same 10-to-1 Mix That Beats TransformersAnime : Sarah Guo, Elad GilThe authors of S4 and Mamba argue that mostly state-space layers plus a dash of attention is the architecture that actually works—and they are shipping it first as real-time speech.Modèles et entraînementTransformers & attentionIA vocale+3
1:54:01EN
Cognitive Revolution "How AI Changes Everything"· 26 juin 2024PodcastA Tiny Network Grew a Salt Crystal the Training Data Never ShowedAnime : Nathan LabenzTim Duignan trained tens of thousands of parameters on salt water. The model invented a crystal — and a continuum solvent theory he had spent a PhD failing to write by hand.Modèles et entraînementAI for scienceFondamentaux du ML+3
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20VC with Harry Stebbings· 24 juin 2024Podcast · 2 voixDavid Luan on Model Scaling, AI Agents and Competition Across the Chip StackInvité : David Luan · Anime : Harry StebbingsThe Adept co-founder explains his views on compute, vertical integration, enterprise agents and why human interaction should shape AI product design.AI agentsModèles et entraînementSemiconductors+2
1:37:07EN
Cognitive Revolution "How AI Changes Everything"· 22 juin 2024PodcastA Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.Anime : Nathan LabenzGoogle researchers Vivek Natarajan and Khaled Saab walk Nathan Labenz through five medical-AI papers, from radiology reports to an AI doctor that still has to earn trust.Modèles et entraînementAI in healthcareMultimodal AI+3
5 diapositives13:18EN
MBMatthew Berman· 20 juin 2024Testing Local AI on a Dual RTX 6000 WorkstationMatthew Berman · Forward FutureMatthew Berman tests language models, concurrent inference, and image generation on a Dell Precision tower supplied by Dell and NVIDIA.Local inferenceInferenceModèles et entraînement+2
1:06:04EN
20VC with Harry Stebbings· 12 juin 2024Podcast · 2 voixAlexandr Wang on AI Data, Model Development and Building ScaleInvité : Alexandr Wang · Anime : Harry StebbingsScale’s founder discusses his data-bottleneck thesis, enterprise adoption, AI security and the challenges of growing a team.Data quality & curationModèles et entraînementAI Strategy+2
1:03:12EN
20VC with Harry Stebbings· 5 juin 2024Podcast · 2 voixAravind Srinivas on Reasoning, Model Economics and Building PerplexityInvité : Aravind Srinivas · Anime : Harry StebbingsThe Perplexity co-founder discusses AI scaling, foundation-model competition, advertising and the challenges of building a search product.Modèles et entraînementReasoning & test-time computeAI Strategy+2
1:59:15EN
Cognitive Revolution "How AI Changes Everything"· 25 mai 2024PodcastA Protein Backbone in a Minute: The Real Progress, Bottlenecks, and Risks of AI BiologyAnime : Nathan LabenzThe White House set a thousand-fold lower reporting bar for biological models than for language models—and this conversation shows why that gap already looks prescient.Modèles et entraînementAI for scienceComputational Biology+3
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Cognitive Revolution "How AI Changes Everything"· 22 mai 2024PodcastFrom Jailbreaking ChatGPT to Anthropic’s First Prompt Engineer: How Alex Albert Ships Claude 3Anime : Nathan LabenzA year after building jailbreakchat.com, Alex Albert walks Nathan Labenz through Claude 3’s writing, orchestration, character work, and the guardrails app developers still skip.Modèles et entraînementSécurité et gouvernanceÉvaluations+3
2 diapositives12:50EN
MBMatthew Berman· 22 mai 2024Testing Smaug: Hosted 70B Versus a Smaller Local ModelMatthew Berman · Forward FutureMatthew Berman compares two Smaug configurations on Snake, math and reasoning puzzles.Open-weight modelsÉvaluationsModèles et entraînement
3 diapositives13:37EN
MBMatthew Berman· 16 mai 2024Testing Gemini 1.5 Pro’s Long Context and Video UnderstandingMatthew Berman · Forward FutureMatthew Berman’s 2024 tests show useful image and video summaries alongside blocked code and missed details.Multimodal AIBenchmarksVision et vidéo+1
Diapositives27:07EN
MBMatthew Berman· 14 mai 2024GPT-4o's Launch: Voice, Vision and a More Conversational InterfaceMatthew Berman, Mira Murati · Forward FutureMatthew Berman reviews OpenAI's May 2024 demonstrations of GPT-4o and considers what a faster multimodal assistant could enable.AI researchProduit et UXModèles et entraînement
4 diapositives17:12EN
MBMatthew Berman· 30 avr. 2024Testing the Mystery 'gpt2-chatbot' Model in April 2024Matthew Berman · Forward FutureMatthew Berman tries an anonymous model on coding, arithmetic and reasoning tasks while its identity remains uncertain.BenchmarksModèles et entraînementAgents de code+1
3 diapositives16:28EN
MBMatthew Berman· 23 avr. 2024Testing Reka Core: Multimodal Benchmarks, Coding and ReasoningMatthew Berman · Forward FutureMatthew Berman reviews Reka’s reported model comparisons and tests Core on code, logic and image understanding.Multimodal AIBenchmarksModèles et entraînement+1
3 diapositives15:01EN
MBMatthew Berman· 19 avr. 2024Testing Llama 3 at Launch: Code, Reasoning and Image GenerationMatthew Berman · Forward FutureMatthew Berman tries Meta AI’s new interface on a snake game, logic puzzles and rapid image generation.Open-weight modelsÉvaluationsModèles et entraînement+1
1:01:39EN
Cognitive Revolution "How AI Changes Everything"· 13 avr. 2024PodcastGPT-5 Wants 100 Trillion Tokens. Does Earth Have Enough?Anime : Nathan LabenzTraining GPT-3 took about a trillion tokens; GPT-4 took about ten trillion. The next jump is a data question as much as a compute one.Modèles et entraînementScaling LawsSynthetic data+3
1:19:24EN
Cognitive Revolution "How AI Changes Everything"· 5 avr. 2024PodcastA Gibberish Prompt Unlocks What GPT-J Plans Three Tokens AheadAnime : Nathan LabenzNortheastern’s Bau Lab shows that a 40,000-parameter soft prompt can read a model’s future words, and that about ten attention heads carry the task itself.Modèles et entraînementModel InterpretabilityTransformers & attention+3
3 diapositives14:23EN
MBMatthew Berman· 31 mars 2024Testing DBRX: Coding Strengths and Reasoning GapsMatthew Berman · Forward FutureMatthew Berman examines Databricks’ open-weight model and puts it through coding, arithmetic and reasoning prompts.Open-weight modelsModèles et entraînementÉvaluations+1
1:20:44EN
Cognitive Revolution "How AI Changes Everything"· 30 mars 2024PodcastSeeing Like a Mamba: Vision, Rotting States, and a Cell Model in 90 DaysAnime : Nathan LabenzNathan Labenz and Jason Meaux survey the vision papers, long-context experiments, and biology work that followed the original Mamba release.Modèles et entraînementAI researchTransformers & attention+3
5 diapositives22:17EN
MBMatthew Berman· 21 mars 2024Q* Rumors, Energy-Based Models, and Research on ReasoningMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines an anonymous, unverified account of Q* and compares its ideas with published research on teaching language models to reason.Reasoning & test-time computeModèles et entraînementAI research+2
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Lex Fridman· 7 mars 2024Podcast · 2 voixIf You Want Human-Level AI, Abandon Generative ModelsInvité : Yann Lecun · Anime : 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.Modèles et entraînementWorld modelsAGI+3
3 diapositives23:00EN
MBMatthew Berman· 22 févr. 2024Testing Google Gemma 7B at Launch: Setup MattersMatthew Berman · Forward FutureMatthew Berman compares local and hosted tests of Google’s early open-weight model.Open-weight modelsÉvaluationsModèles et entraînement
1:58:43EN
Cognitive Revolution "How AI Changes Everything"· 7 févr. 2024PodcastA Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.Anime : Nathan LabenzMax Bennett maps 600 million years of brain evolution onto five breakthroughs — and asks which rungs today's models have actually reached.Modèles et entraînementAI HistoryNeuroscience & AI+3
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