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2 diapositivas12:50EN
Matthew Berman· 22 may 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 modelsEvaluacionesModelos y entrenamiento
3 diapositivas13:37EN
Matthew Berman· 16 may 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 AIBenchmarksVisión y vídeo+1
Diapositivas27:07EN
Matthew Berman· 14 may 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 researchProducto y UXModelos y entrenamiento
4 diapositivas17:12EN
Matthew Berman· 30 abr 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.BenchmarksModelos y entrenamientoAgentes de programación+1
7 diapositivas21:47EN
Matthew Berman· 24 abr 2024Phi-3 Mini: Microsoft’s Small Model, Phone Deployment and an Uncertain Local TestMatthew Berman · Forward FutureMatthew Berman reviews Microsoft’s 2024 technical report and runs informal prompts, with an unresolved model label in the demonstration.Local inferenceModelos y entrenamientoBenchmarks+1
3 diapositivas16:28EN
Matthew Berman· 23 abr 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 AIBenchmarksModelos y entrenamiento+1
3 diapositivas15:01EN
Matthew Berman· 19 abr 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 modelsEvaluacionesModelos y entrenamiento+1
1:01:39EN
Cognitive Revolution "How AI Changes Everything"· 13 abr 2024PódcastGPT-5 Wants 100 Trillion Tokens. Does Earth Have Enough?Presenta: 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.Modelos y entrenamientoScaling LawsSynthetic data+3
1:19:24EN
Cognitive Revolution "How AI Changes Everything"· 5 abr 2024PódcastA Gibberish Prompt Unlocks What GPT-J Plans Three Tokens AheadPresenta: 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.Modelos y entrenamientoModel InterpretabilityTransformers & attention+3
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
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
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
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
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
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
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