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3 diapositivas14:23EN
Matthew Berman· 31 mar 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 modelsModelos y entrenamientoEvaluaciones+1
1:20:44EN
Cognitive Revolution "How AI Changes Everything"· 30 mar 2024PódcastSeeing Like a Mamba: Vision, Rotting States, and a Cell Model in 90 DaysPresenta: Nathan LabenzNathan Labenz and Jason Meaux survey the vision papers, long-context experiments, and biology work that followed the original Mamba release.Modelos y entrenamientoAI researchTransformers & attention+3
5 diapositivas22:17EN
Matthew Berman· 21 mar 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 computeModelos y entrenamientoAI research+2
3 diapositivas8:26EN
Matthew Berman· 18 mar 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 modelsBenchmarksModelos y entrenamiento+1
4 diapositivas19:59EN
Matthew Berman· 12 mar 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 teamingSeguridad+1
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.Modelos y entrenamientoWorld modelsAGI+3
5 diapositivas13:57EN
Matthew Berman· 27 feb 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.Modelos y entrenamientoBenchmarksAI Safety+1
3 diapositivas23:00EN
Matthew Berman· 22 feb 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 modelsEvaluacionesModelos y entrenamiento
1:58:43EN
Cognitive Revolution "How AI Changes Everything"· 7 feb 2024PódcastA Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.Presenta: Nathan LabenzMax Bennett maps 600 million years of brain evolution onto five breakthroughs — and asks which rungs today's models have actually reached.Modelos y entrenamientoAI HistoryNeuroscience & AI+3
2 diapositivas0:42EN
Matthew Berman· 31 ene 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 AIModelos y entrenamientoLocal inference+1
40:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 25 ene 2024Pódcast · 2 voces99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses FirstPresenta: Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.Modelos y entrenamientoRoboticsFoundation Models+3
Diapositivas35:28EN
Matthew Berman· 23 ene 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.OpenAIModelos y entrenamientoSeguridad y gobernanza+2
2:30:06EN
Cognitive Revolution "How AI Changes Everything"· 22 dic 2023PódcastTrained on a Thirtieth of GPT-4's Tokens, Mamba Beat Transformers on Home TurfPresenta: 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.Modelos y entrenamientoTransformers & attentionAI research+3
5 diapositivas14:04EN
Matthew Berman· 15 dic 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.Modelos y entrenamientoBenchmarksAI cost & performance+2
8 diapositivas20:49EN
Matthew Berman· 12 dic 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.Modelos y entrenamientoOpen-weight modelsInference+2
1:19:24EN
Cognitive Revolution "How AI Changes Everything"· 17 nov 2023PódcastA Toy Paper Did Not Prove LLMs Cannot Generalize. The Discourse Still Ran With It.Presenta: Nathan LabenzNathan Labenz and Erik Torenberg unpack a viral DeepMind result, a weekend reproduction, and a premature war over voluntary AI commitments.Modelos y entrenamientoAI researchFundamentos de ML+3
1:21:50EN
Cognitive Revolution "How AI Changes Everything"· 14 nov 2023PódcastA 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.Presenta: 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.Modelos y entrenamientoSynthetic dataData quality & curation+3
5 diapositivas11:05EN
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 modelsBenchmarksModelos y entrenamiento+1
41:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 nov 2023Pódcast · 2 vocesReliability is the bottleneck. Autonomy is what would make AI feel alive.Presenta: 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.Modelos y entrenamientoAGIScaling Laws+3
1:19:52EN
Cognitive Revolution "How AI Changes Everything"· 18 oct 2023Pódcast1,000 H100s Take 115 Days; 22,000 Take FivePresenta: 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.Modelos y entrenamientoAI researchModel Interpretability+3
37:01EN
No Priors: AI, Machine Learning, Tech, & Startups· 28 sept 2023Pódcast · 2 vocesDNA Is Code, but You Compile It with a PipettePresenta: 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.Modelos y entrenamientoAI for scienceBiosecurity+3
6 diapositivas12:49EN
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 modelsBenchmarksModelos y entrenamiento+1
36:33EN
20VC with Harry Stebbings· 31 ago 2023Pódcast · 2 vocesNoam Shazeer on Character.AI, the Cost of Training Models and the Uses of General AIInvitado: Noam Shazeer · Presenta: Harry StebbingsThe Character.AI co-founder explains his consumer strategy, language-model training and why he expects users to invent applications the company cannot predict.Foundation ModelsModelos y entrenamientoAI startups & small teams+2
55:08EN
Cognitive Revolution "How AI Changes Everything"· 29 ago 2023PódcastOne Model Inside 38 Products: Paige Bailey on How Google Trains and Ships PaLM 2Presenta: Nathan LabenzAt Google I/O in May 2023, PaLM 2 arrived already running in more than two dozen products — and its lead product manager walks through what that actually took.Modelos y entrenamientoMultimodal AIEvaluaciones+3
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