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Cognitive Revolution "How AI Changes Everything"· 22 mai 2024PodcastFrom Jailbreaking ChatGPT to Anthropic’s First Prompt Engineer: How Alex Albert Ships Claude 3Anime : Nathan LabenzA year after building jailbreakchat.com, Alex Albert walks Nathan Labenz through Claude 3’s writing, orchestration, character work, and the guardrails app developers still skip.Modèles et entraînementSécurité et gouvernanceÉvaluations+3
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No Priors: AI, Machine Learning, Tech, & Startups· 22 mai 2024Podcast · 2 voixJPMorgan Has 150 Petabytes. GPT-4 Trained on Less Than One.Anime : Sarah Guo, Elad GilScale AI founder Alexandr Wang tells No Priors why easy internet data is exhausted, why expert-plus-model teams still win, and why the path to AGI looks more like curing cancer than inventing a vaccine.Infrastructure et déploiementData quality & curationPost-training+3
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Matthew Berman· 22 mai 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 modelsÉvaluationsModèles et entraînement
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Cognitive Revolution "How AI Changes Everything"· 9 mai 2024PodcastJail Only for Perjury: Scott Wiener Walks Through California's Frontier AI BillAnime : Nathan LabenzSB 1047 sets the same 10^26 FLOPs threshold as the Biden executive order, and the San Francisco senator wants testing without a licensing regime.SécuritéSécurité et gouvernanceAI Regulation+3
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Cognitive Revolution "How AI Changes Everything"· 3 mai 2024PodcastInfinite AI Interns Are Already on the JobAnime : Nathan LabenzNathan Labenz tells computer-science students how to stand out when models are beating doctors on routine work and firms are hiring fewer juniors.AgentsAI StrategyHuman-AI Collaboration+3
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Matthew Berman· 28 avr. 2024OSWorld: Evaluating Computer-Use Agents in Real ApplicationsMatthew Berman · Forward FutureMatthew Berman explains the 2024 benchmark’s observation–action loop, task-specific checks and early results, with the limitations of its experimental setup.Computer useÉvaluationsBenchmarks+1
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Matthew Berman· 23 avr. 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 AIBenchmarksModèles et entraînement+1
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Matthew Berman· 21 avr. 2024Llama 3 70B on Groq: Fast Inference and an Informal Prompt TestMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and repeated prompts on Groq’s April 2024 Llama 3 service, with mixed results and several scoring caveats.Open-weight modelsInferenceÉvaluations+2
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Matthew Berman· 19 avr. 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 modelsÉvaluationsModèles et entraînement+1
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No Priors: AI, Machine Learning, Tech, & Startups· 18 avr. 2024Podcast · 2 voixImage Generation Is Still a Loot Box. Suhail Doshi Wants to Scale PixelsAnime : Sarah Guo, Elad GilThe Playground AI founder tells No Priors why he skipped language models, how a noise-sampling trick fixed SDXL's muddy brightness, and what a large vision model would actually do.Multimodal et médiasGenerative mediaVision et vidéo+3
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Matthew Berman· 13 avr. 2024Testing Karasu Mixtral 8x22B on Coding and Reasoning TasksMatthew Berman · Forward FutureMatthew Berman tries an early community fine-tune of Mistral's large mixture-of-experts model on a Snake game, arithmetic and logic puzzles.Open-weight modelsModèles et entraînementÉvaluations+1
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Matthew Berman· 5 avr. 2024SWE-agent Tutorial: Navigating Repositories and Attempting GitHub FixesMatthew Berman, Carlos · Forward FutureMatthew Berman sets up a research coding agent, hits an installation problem and a cost limit, then shows an author’s successful SymPy benchmark example.Agents de codeIngénierie d’agentsWorkflows de développement et tests+2
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Cognitive Revolution "How AI Changes Everything"· 3 avr. 2024PodcastThe Right Size of an AI Task Is Whatever You Can CheckAnime : Nathan LabenzElicit founders Andreas Stuhlmüller and Jungwon Byun walk through how a twelve-person research assistant cut summary hallucinations from 1.5 to 0.5, ships about every week and a half, and treats task decomposition as the way to spend more compute without a black box.RAG et connaissancesGénération augmentée par récupérationSearch & retrieval+3
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Matthew Berman· 1 avr. 2024Matthew Berman Tries LLM Colosseum, a Street Fighter Model BenchmarkMatthew Berman · Forward FutureA 2024 tutorial shows language models choosing fighting-game moves, explains the game-state prompt and walks through local setup.ÉvaluationsMulti-agent systemsExperimentation+1
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Matthew Berman· 31 mars 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 modelsModèles et entraînementÉvaluations+1
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No Priors: AI, Machine Learning, Tech, & Startups· 28 mars 2024Podcast · 2 voixFrom a side project to 700 integrations: Harrison Chase on what still blocks agentsAnime : Sarah Guo, Elad GilThe LangChain CEO walks through a two-year churn of patterns, and why memory, planning, and few-shot data still matter more than swapping models.AgentsIngénierie d’agentsAgent memory+3
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Cognitive Revolution "How AI Changes Everything"· 14 mars 2024PodcastTwelve Hours After a GPT-4 Demo, He Turned a Decade-Old Legal Startup AroundAnime : Nathan LabenzPablo Arredondo, co-founder of CaseText and now VP of CoCounsel at Thomson Reuters, traces legal research from 19th-century citators to a retrieval-anchored GPT-4 product that law firms treat more like a colleague than a search box.Entreprise et stratégieGénération augmentée par récupérationÉvaluations+3
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Matthew Berman· 9 mars 2024ArtPrompt: What a 2024 Study Found About Visual Text and Model SafetyMatthew Berman · Forward FutureMatthew Berman reviews an ASCII-art recognition benchmark and reports mixed results from his own informal tests.AI SafetySécuritéÉvaluations+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
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Unsupervised Learning: With Jacob Effron· 9 janv. 2024PodcastOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need YearsAnime : Jacob EffronLogan Kilpatrick on picking GPT-3.5 versus GPT-4, why plugins stalled, and why the public internet is not ready for autonomous agents.Entreprise et stratégieAI StrategyPrompting & in-context learning+3
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Matthew Berman· 13 déc. 2023How Rephrased Test Data Inflated a 13B Model’s Benchmark ScoresMatthew Berman · Forward FutureMatthew Berman examines a 2023 experiment showing how reworded benchmark questions can evade simple contamination checks and inflate model scores.BenchmarksÉvaluationsData quality & curation+2
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Cognitive Revolution "How AI Changes Everything"· 2 déc. 2023PodcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Anime : 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.AgentsIngénierie d’agentsReasoning & test-time compute+3
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Matthew Berman· 1 déc. 2023OpenAI's 2023 Leadership Crisis, Q* Speculation and Synthetic DataMatthew Berman, Andrew Ross Sorkin, Elon Musk · Forward FutureMatthew Berman connects Sam Altman's return, an Elon Musk interview and Nathan Lambert's discussion of synthetic training data, separating reported events from his own theories.Synthetic dataOpenAIAI Safety+2
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No Priors: AI, Machine Learning, Tech, & Startups· 16 nov. 2023Podcast · 2 voixFourteen People, $200 Million of Compute, and the Reliability Bottleneck for AgentsAnime : Sarah Guo, Elad GilImbue co-founders Kanjun Qiu and Josh Albrecht on why agents fail, why language models cannot learn general algorithms, and why they are spending a giant round on GPUs rather than headcount.AgentsAgents de codeIngénierie d’agents+3
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