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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
Matthew 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
3 diapositives8:26EN
Matthew Berman· 18 mars 2024Testing Grok on X After the 2024 Grok-1 Weight ReleaseMatthew Berman · Forward FutureMatthew Berman tries coding and reasoning prompts in the hosted Grok interface, with mixed results.Open-weight modelsBenchmarksModèles et entraînement+1
2 diapositives4:49EN
Matthew Berman· 17 mars 2024xAI Releases Grok-1 Base Weights Under Apache 2.0Matthew Berman · Forward FutureMatthew Berman discusses the March 2024 release of a 314-billion-parameter mixture-of-experts model and the context of Elon Musk’s dispute with OpenAI.Foundation ModelsOpen-weight modelsModèles et entraînement+1
4 diapositives19:59EN
Matthew Berman· 12 mars 2024Testing Model Responses to Masked Harmful RequestsMatthew Berman · Forward FutureMatthew Berman compares refusals, decoding errors and inconsistent responses in informal 2024 experiments across several language models.AI SafetyAgent red teamingSécurité+1
2:47:17EN
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
5 diapositives13:57EN
Matthew Berman· 27 févr. 2024Mistral Large: A 2024 Review of Coding, Reasoning and Safety ResponsesMatthew Berman · Forward FutureMatthew Berman reviews Mistral’s launch claims and tests the model with a small set of prompts.Modèles et entraînementBenchmarksAI Safety+1
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Matthew 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
2 diapositives0:42EN
Matthew Berman· 31 janv. 2024LLaVA 1.6 Adds Higher-Resolution Image UnderstandingMatthew Berman · Forward FutureMatthew Berman reviews the January 2024 release of LLaVA 1.6 and its local availability through Ollama.Multimodal AIModèles et entraînementLocal inference+1
40:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 25 janv. 2024Podcast · 2 voix99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses FirstAnime : Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.Modèles et entraînementRoboticsFoundation Models+3
Diapositives35:28EN
Matthew Berman· 23 janv. 2024Sam Altman on Future AI Models, Copyright and the Limits of DeploymentMatthew Berman, Ina Fried, Sam Altman · Forward FutureIn a January 2024 Davos interview, OpenAI’s CEO discusses model progress, election risks, military use and customization. Matthew Berman responds to the claims and their implications.OpenAIModèles et entraînementSécurité et gouvernance+2
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Cognitive Revolution "How AI Changes Everything"· 22 déc. 2023PodcastTrained on a Thirtieth of GPT-4's Tokens, Mamba Beat Transformers on Home TurfAnime : Nathan LabenzIn a solo emergency episode, Nathan Labenz argues that Albert Gu and Tri Dao's selective state space model is the first architecture since 2017 that deserves to share the Transformer’s throne.Modèles et entraînementTransformers & attentionAI research+3
5 diapositives14:04EN
Matthew Berman· 15 déc. 2023Mistral Medium in 2023: API Pricing and Informal Model TestsMatthew Berman · Forward FutureMatthew Berman compares the original Mistral Medium prototype with Mixtral and GPT-4, then tests coding, writing and reasoning through the API.Modèles et entraînementBenchmarksAI cost & performance+2
8 diapositives20:49EN
Matthew Berman· 12 déc. 2023Mixtral 8x7B: Mixture-of-Experts Architecture, Setup and Early TestsMatthew Berman · Forward FutureMatthew Berman reviews Mistral AI’s December 2023 open-weight model, demonstrates a cloud setup and tests its coding and reasoning responses.Modèles et entraînementOpen-weight modelsInference+2
1:19:24EN
Cognitive Revolution "How AI Changes Everything"· 17 nov. 2023PodcastA Toy Paper Did Not Prove LLMs Cannot Generalize. The Discourse Still Ran With It.Anime : Nathan LabenzNathan Labenz and Erik Torenberg unpack a viral DeepMind result, a weekend reproduction, and a premature war over voluntary AI commitments.Modèles et entraînementAI researchFondamentaux du ML+3
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Cognitive Revolution "How AI Changes Everything"· 14 nov. 2023PodcastA 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.Anime : Nathan LabenzGretel AI founder Alex Watson tells Nathan Labenz why most company data is still a spreadsheet, why GPT-4 is the wrong tool for generating it, and how differential privacy lets a model learn a disease without learning a patient.Modèles et entraînementSynthetic dataData quality & curation+3
5 diapositives11:05EN
Matthew Berman· 7 nov. 2023Testing Dolphin 2.2, a Mistral 7B Fine-TuneMatthew Berman · Forward FutureMatthew Berman tries a small open-weight model on coding, formatting and reasoning prompts, with mixed results.Open-weight modelsBenchmarksModèles et entraînement+1
41:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 nov. 2023Podcast · 2 voixReliability is the bottleneck. Autonomy is what would make AI feel alive.Anime : Sarah Guo, Elad GilIlya Sutskever talks with Sarah Guo and Elad Gil about AlexNet, OpenAI’s capped-profit bet, why smaller models mainly lose reliability, and the line he draws for digital life.Modèles et entraînementAGIScaling Laws+3
1:19:52EN
Cognitive Revolution "How AI Changes Everything"· 18 oct. 2023Podcast1,000 H100s Take 115 Days; 22,000 Take FiveAnime : Nathan LabenzNathan Labenz and Trey Kollmer walk through cluster math that turns GPT-4-scale training into a weekly experiment, then four papers on search-augmented models, recursive code improvers, spatial maps inside Llama 2, and what networks do when they have no idea.Modèles et entraînementAI researchModel Interpretability+3
5 diapositives13:11EN
Matthew Berman· 5 oct. 2023Testing Mistral 7B OpenOrca: A 2023 Cloud Setup and Prompt TrialMatthew Berman · Forward FutureMatthew Berman runs a quantized OpenOrca variant on a rented GPU and reviews coding, writing and reasoning examples.Open-weight modelsLocal inferenceBenchmarks+2
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No Priors: AI, Machine Learning, Tech, & Startups· 28 sept. 2023Podcast · 2 voixDNA Is Code, but You Compile It with a PipetteAnime : Sarah Guo, Elad GilGinkgo Bioworks CEO Jason Kelly tells No Priors why cells are worth the magic, why biology has no AWS, and why a pandemic should look like cybersecurity.Modèles et entraînementAI for scienceBiosecurity+3
6 diapositives12:49EN
Matthew Berman· 14 sept. 2023Falcon 180B: A 2023 Review of TII’s Open-Weight ModelMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and writing prompts while examining the model’s training scale and license.Open-weight modelsBenchmarksModèles et entraînement+1
4 diapositives4:35EN
Matthew Berman· 5 sept. 2023Running WizardCoder on a Cloud GPU: A 2023 RunPod WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates downloading a quantized 13B coding model into a hosted text-generation interface, then explains how to stop the pod and avoid ongoing charges.Modèles et entraînementInfrastructure et déploiementAgents de code
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