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39:05ZH
Zhang Xiaojun Podcast· 25. Sept. 2024Podcast · 2 Stimmen王小川:o1、强化学习与从快思考走向慢思考Gast: 王小川 · Moderation: 张小珺百川智能创始人解读 o1 的可能技术路径,讨论强化学习、医疗场景和创业公司的选择。AI researchReinforcement LearningReasoning & test-time compute+2
5 Folien10:57EN
Matthew Berman· 13. Sept. 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 Folien21:21EN
Matthew Berman· 12. Sept. 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· 10. Sept. 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-AgentenAGIReasoning & test-time compute+3
5 Folien12:03EN
Matthew Berman· 6. Sept. 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
Folien15:42EN
Matthew Berman· 28. Aug. 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
3 Folien11:39EN
Matthew Berman· 15. Aug. 2024Grok 2 Beta: Matthew Berman Tests Reasoning and FLUX Image GenerationMatthew Berman · Forward FutureA 2024 look at xAI’s Grok 2 and Grok 2 mini covers early benchmark claims, a failed reasoning test and image-generation experiments.Foundation ModelsGenerative mediaEvals+1
6 Folien15:24EN
Matthew Berman· 13. Aug. 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.Modelle & TrainingEvalsReasoning & test-time compute+1
4 Folien9:51EN
Matthew Berman· 7. Aug. 2024Strawberry Rumors and Two Anonymous Chatbot Reasoning TestsMatthew Berman · Forward FutureIn August 2024, Matthew Berman examined speculation about OpenAI’s next model and tested mystery chatbots on simple reasoning puzzles. Later disclosures clarified the identity of one of them.Reasoning & test-time computeEvalsFoundation Models+2
5 Folien12:17EN
Matthew Berman· 7. Aug. 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 Folien14:15EN
Matthew Berman· 16. Juli 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"· 13. Juli 2024PodcastHumans Near a Perfect Score. The Best AI Still Gets 39%Moderation: 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
6 Folien11:30EN
Matthew Berman· 11. Juli 2024Testing Google Gemma 2 27B: Coding, Reasoning and FormattingMatthew Berman · Forward FutureMatthew Berman runs an informal 2024 test of Google’s open-weight model on cloud hardware supplied by sponsor Vultr.Open-weight modelsBenchmarksReasoning & test-time compute+1
55:13EN
Sequoia Capital· 2. Juli 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 Folien12:55EN
Matthew Berman· 23. Juni 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 systemsModelle & TrainingEvals+1
6 Folien17:03EN
Matthew Berman· 8. Juni 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· 5. Juni 2024Podcast · 2 StimmenAravind Srinivas on Reasoning, Model Economics and Building PerplexityGast: Aravind Srinivas · Moderation: Harry StebbingsThe Perplexity co-founder discusses AI scaling, foundation-model competition, advertising and the challenges of building a search product.Modelle & TrainingReasoning & test-time computeAI Strategy+2
4 Folien17:12EN
Matthew Berman· 30. Apr. 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.BenchmarksModelle & TrainingCoding-Agenten+1
5 Folien22:17EN
Matthew Berman· 21. März 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 computeModelle & TrainingAI research+2
5 Folien14:04EN
Matthew Berman· 15. Dez. 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.Modelle & TrainingBenchmarksAI cost & performance+2
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· 2. Dez. 2023PodcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Moderation: 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.AgentenAgent EngineeringReasoning & test-time compute+3
3 Folien35:16EN
Matthew Berman· 28. Nov. 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 Folien11:05EN
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 modelsBenchmarksModelle & Training+1
2 Folien4:59EN
Matthew Berman· 25. Juli 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 modelsEvalsModelle & Training+1
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