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39:05ZH → English
Zhang Xiaojun Podcast· Sep 25, 2024Podcast · 2 speakersWang Xiaochuan on o1, Reinforcement Learning, and Slow ThinkingGuest 王小川 · Host 张小珺Baichuan Intelligence’s founder discusses possible technical paths behind o1, healthcare applications, and choices for AI startups.AI researchReinforcement LearningReasoning & test-time compute+2
5 slides10:57EN
Matthew Berman· Sep 13, 2024Testing OpenAI o1-preview: Tetris, Physical Reasoning and a North Pole ErrorMatthew Berman · Forward FutureIn September 2024, Matthew Berman runs the new reasoning-model preview through a personal rubric and examines where its answers succeed or fail.OpenAIReasoning & test-time computeEvals+2
8 slides21:21EN
Matthew Berman· Sep 12, 2024OpenAI o1’s 2024 Launch: Reasoning Benchmarks and Early TestsMatthew Berman · Forward FutureMatthew Berman reviews o1-preview and o1-mini, OpenAI’s reported evaluations, and his own early coding experiments.OpenAIReasoning & test-time computeBenchmarks+2
51:15EN
Sequoia Capital· Sep 10, 2024PodcastAGI Has One Problem Left: Spend a Million Times More on a TokenMagic founder Eric Steinberger tells Sequoia’s Training Data why he trains his own models, why a software engineer is the MVP of AGI, and why 96% still is not a colleague.Coding agentsAGIReasoning & test-time compute+3
5 slides12:03EN
Matthew Berman· Sep 6, 2024Reflection 70B: Self-Correction Claims and the Limits of a 2024 DemoMatthew Berman · Forward FutureMatthew Berman reviews a model trained to generate reflection steps. Its initial benchmark claims later proved difficult for independent evaluators to reproduce.AI HistoryFoundation ModelsEvals+2
Slides15:42EN
Matthew Berman· Aug 28, 2024Strawberry and Orion: What Was Reported About OpenAI’s Next Models in 2024Matthew Berman · Forward FutureMatthew Berman examines reports about a reasoning project, synthetic data and a future flagship model. Later releases clarify some of the story, while many original claims remain attributed to unnamed sources.AI researchReasoning & test-time computeSynthetic data+2
6 slides15:24EN
Matthew Berman· Aug 13, 2024Testing the Anonymous sus-column-r Model, Later Identified as Grok-2Matthew Berman · Forward FutureMatthew Berman tests a mysterious 2024 Arena model on coding and reasoning; its verbose answers prompted speculation about OpenAI that the later identification contradicted.Models & trainingEvalsReasoning & test-time compute+1
5 slides12:17EN
Matthew Berman· Aug 7, 2024Testing Gemini 1.5 Pro on Code, Reasoning, Images and VideoMatthew Berman · Forward FutureMatthew Berman compares standard and experimental Gemini versions in an informal 2024 review, finding mixed results and repeated output errors.GeminiEvalsMultimodal AI+2
3 slides14:15EN
Matthew Berman· Jul 16, 2024OpenAI’s Reported Strawberry Project and a Five-Level AGI FrameworkMatthew Berman · Forward FutureMatthew Berman examines 2024 reporting on a reasoning project, long-horizon tasks and a proposed scale for AI capabilities.Reasoning & test-time computeAI researchOpenAI+2
1:56:03EN
Cognitive Revolution "How AI Changes Everything"· Jul 13, 2024PodcastHumans Near a Perfect Score. The Best AI Still Gets 39%Host Nathan LabenzZapier co-founder Mike Knoop and François Chollet put $1 million on ARC-AGI, a 2019 test of sample-efficient intelligence that language models still cannot crack under a one-cent-per-puzzle budget.Evals & observabilityAGIBenchmarks+3
55:13EN
Sequoia Capital· Jul 2, 2024PodcastThe Best AI Scores 39% on This Test. Zapier’s Co-Founder Put $1 Million on Beating ItFrançois Chollet designed ARC to measure skill-acquisition efficiency; five years later humans still crush it and frontier models do not.Evals & observabilityBenchmarksAGI Timelines+3
5 slides12:55EN
Matthew Berman· Jun 23, 2024Testing Mixture-of-Agents on Coding, Arithmetic and ReasoningMatthew Berman · Forward FutureMatthew Berman tries a multi-model setup on his informal LLM rubric and finds strong individual answers alongside coding and counting failures.Multi-agent systemsModels & trainingEvals+1
6 slides17:03EN
Matthew Berman· Jun 8, 2024Qwen2 0.5B and 72B: A Hands-On ComparisonMatthew Berman · Forward FutureMatthew Berman tests coding, arithmetic and reasoning prompts on the smallest and largest Qwen2 models in a 2024 demonstration.Open-weight modelsBenchmarksLocal inference+2
1:03:12EN
20VC with Harry Stebbings· Jun 5, 2024Podcast · 2 speakersAravind Srinivas on Reasoning, Model Economics and Building PerplexityGuest Aravind Srinivas · Host Harry StebbingsThe Perplexity co-founder discusses AI scaling, foundation-model competition, advertising and the challenges of building a search product.Models & trainingReasoning & test-time computeAI Strategy+2
4 slides17:12EN
Matthew Berman· Apr 30, 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.BenchmarksModels & trainingCoding agents+1
5 slides22:17EN
Matthew Berman· Mar 21, 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 computeModels & trainingAI research+2
5 slides14:04EN
Matthew Berman· Dec 15, 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.Models & trainingBenchmarksAI cost & performance+2
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· Dec 2, 2023PodcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Host Nathan LabenzImbue CTO Josh Albrecht tells Nathan Labenz how a 27-person, pre-product research company is putting $200 million and 10,000 H100s toward agents that can actually finish a long job.AgentsAgent engineeringReasoning & test-time compute+3
3 slides35:16EN
Matthew Berman· Nov 28, 2023What Was Known About Q* in 2023—and What Was SpeculationMatthew Berman, Sam Altman, Andrej Karpathy · Forward FutureMatthew Berman surveys rumors, reasoning papers and self-play analogies after OpenAI’s leadership crisis, with important limits on what was verified.AI researchReasoning & test-time computeOpenAI+2
5 slides11:05EN
Matthew Berman· Nov 7, 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 modelsBenchmarksModels & training+1
2 slides4:59EN
Matthew Berman· Jul 25, 2023Testing Airoboros L2 70B on Coding, Writing and ReasoningMatthew Berman · Forward FutureMatthew Berman runs a small set of prompts against a Llama 2 fine-tune, finding useful structured output alongside failures on code and logic.Open-weight modelsEvalsModels & training+1
3 slides9:46EN
Matthew Berman· Jul 17, 2023Orca Mini V2 vs. OpenOrca: A 2023 Informal Model ComparisonMatthew Berman · Forward FutureMatthew Berman tests two Orca-inspired models on coding, writing and reasoning, with results shaped by prompt setup and subjective scoring.BenchmarksOpen-weight modelsReasoning & test-time compute+2
5 slides8:04EN
Matthew Berman· Jul 11, 2023WizardLM 13B v1.1 Tested on Coding, Writing and LogicMatthew Berman · Forward FutureMatthew Berman tries an instruction-tuned model on a small set of prompts, with mixed results and several subjective scoring choices.EvalsOpen-weight modelsModels & training+1
2:00:19EN
Cognitive Revolution "How AI Changes Everything"· Jun 6, 2023Podcast1.5 Million GPT-4 Fairy Tales Let a 33-Million-Parameter Model Out-Reason GPT-2Host Nathan LabenzTry this fill-in: Lily likes cats and dogs. She asked her mom for a dog. Mom said no, so she asked for a…Models & trainingSynthetic dataData quality & curation+3
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