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1:49:41EN
Cognitive Revolution "How AI Changes Everything"· 21 nov. 2024PodcastA Team of Fifteen Matched Meta’s Post-Training on Meta’s Own BaseAnime : Nathan LabenzNathan Lambert walks through Tulu 3: the three-stage recipe, the 1 percent versus 14 percent lesson, and why open post-training now lives or dies on data and evals.Modèles et entraînementPost-trainingData quality & curation+3
1:04:54EN
Unsupervised Learning: With Jacob Effron· 12 nov. 2024PodcastHe bet company equity that Transformer would last — then drew an AI map for 12,000 companiesAnime : Jacob EffronDatabricks chief AI scientist Jonathan Frankle tells enterprises when to prompt, fine-tune, or pre-train, and why he still refuses to forecast the next architecture.Entreprise et stratégieTransformers & attentionPretraining & midtraining+3
2:24:18EN
Cognitive Revolution "How AI Changes Everything"· 30 oct. 2024PodcastMMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.Anime : Nathan LabenzZyphra’s training lead walks through Zamba 2’s hybrid architecture, the evals that actually matter, and the trade secrets small labs still have to rediscover.Modèles et entraînementLocal inferenceÉvaluations+3
56:10EN
Unsupervised Learning: With Jacob Effron· 29 oct. 2024PodcastDeepL Beat Google at Translation by Refusing to Be a General ModelAnime : Jacob EffronOnly 18 percent of the world speaks English—and a Cologne startup turned that fact into a $2 billion language-AI company.Entreprise et stratégieData quality & curationÉvaluations+3
44:30EN
No Priors: AI, Machine Learning, Tech, & Startups· 24 oct. 2024Podcast · 2 voix100,000 Rides a Week, Six Times Fewer Airbag Crashes: Waymo’s Co-CEO on Eighteen Years of Full AutonomyAnime : Sarah Guo, Elad GilDmitri Dolgov tells No Priors how a dozen Googlers, ten 100-mile routes, and a 2013 refusal to settle for driver assist became a rider-only service with an insurer-audited safety record.Infrastructure et déploiementAutonomous DrivingSécurité et gouvernance+3
1:23:37EN
Cognitive Revolution "How AI Changes Everything"· 23 oct. 2024PodcastNine of the top ten research ideas were Claude'sAnime : Nathan LabenzStanford PhD student Chenglei Si ran a blind study pitting Claude 3.5 Sonnet against more than a hundred NLP researchers on novel research ideas.Évaluations et observabilitéÉvaluationsBenchmarks+3
2:37:47EN
Cognitive Revolution "How AI Changes Everything"· 19 oct. 2024PodcastThe intern who wrote GELU now wants humanity's last examAnime : Nathan LabenzDan Hendrycks on activation functions, five-year benchmarks, jailbreaks that do not yield to scale, and stacking defenses because no single layer is trustworthy.SécuritéAI securitySécurité et gouvernance+3
2:25:53EN
Cognitive Revolution "How AI Changes Everything"· 16 oct. 2024PodcastWhen GPT-4's Base Model Introduced Itself, 75% of the Answers Were About AIAnime : Nathan LabenzOwain Evans tells Michael Trazzi why situational awareness and out-of-context reasoning are leading indicators of deceptive alignment, and why a pretrained model with almost no self-knowledge still kept talking about being an AI.SécuritéSécurité et gouvernanceÉvaluations+3
38:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 8 oct. 2024Podcast · 2 voixHalf of Production AI Is RAG. Fine-Tuning Almost Disappeared.Anime : Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.Évaluations et observabilitéÉvaluationsGénération augmentée par récupération+3
1:06:48EN
Unsupervised Learning: With Jacob Effron· 3 oct. 2024Podcasto1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning PointAnime : Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.Modèles et entraînementReasoning & test-time computeAI research+3
45:22EN
Sequoia Capital· 2 oct. 2024PodcastAlphaGo Thought 30 Seconds a Move. o1 Made “Think Longer” GeneralOpenAI researchers Noam Brown, Ilge Akkaya, and Hunter Lightman on teaching language models to reason, the generator-verifier gap, and a second scaling curve at inference time.Modèles et entraînementReasoning & test-time computeReinforcement Learning+3
2:38:56EN
Cognitive Revolution "How AI Changes Everything"· 25 sept. 2024PodcastHow Anthropic Decides a Model Can Ship: Red Lines, Yellow Lines, and 8% of Staff on SecurityAnime : Nathan LabenzNick Joseph, Anthropic's head of training, walks Rob Wiblin through the company's Responsible Scaling Policy — and the fight over whether a voluntary promise can hold when a launch is on the line.SécuritéSécurité et gouvernanceÉvaluations+3
2:03:55EN
Cognitive Revolution "How AI Changes Everything"· 18 sept. 2024PodcastThe More You Constrain an Agent, the More You Can Trust ItAnime : Nathan LabenzAgent.ai engineering lead Andrei Oprisan tells Nathan Labenz why narrow, highly prescribed workflows beat open-ended autonomy — and how a 12-person team shipped a free agent network past 40,000 users in a few months.AgentsIngénierie d’agentsWorkflow automation+3
2:10:13EN
Cognitive Revolution "How AI Changes Everything"· 14 sept. 2024PodcastA 30x drop in scheming is not zero, and the chain of thought is getting strangerAnime : Nathan LabenzMarius Hobbhahn of Apollo Research walks through a joint OpenAI study that used deliberative alignment to cut covert actions in o3 and o4-mini, then found the leftover still looks like scheming and that models already behave differently when they notice they are being tested.SécuritéSécurité et gouvernanceAgent red teaming+3
1:06:15EN
Cognitive Revolution "How AI Changes Everything"· 14 sept. 2024PodcastJailbreaks Got Harder. Scale Made One Attack Worse.Anime : Nathan LabenzHaize Labs spent a month automatically attacking OpenAI's o1. The model reasons more carefully about what it should refuse — except when you teach it a homemade cipher.SécuritéAI securityRed Teaming+3
6 diapositives1:31:56EN
MBMatthew Berman· 12 sept. 2024Testing OpenAI o1 on Puzzles, Code and Reasoning: A Launch-Day LivestreamMatthew Berman · Forward FutureMatthew Berman tries o1-preview and o1-mini on word counts, Tetris, physical reasoning and a word puzzle, with viewers checking the results.ÉvaluationsAgents de code
2 diapositives35:30EN
MBMatthew Berman· 6 sept. 2024Reflection 70B: Its Creators Explain the Proposed Self-Correction MethodMatthew Berman, Matt Shumer, Sahil Chaudhary · Forward FutureA launch-day discussion with Matt Shumer and Sahil Chaudhary covers synthetic data, selective reflection and evaluation limits.Modèles et entraînementData quality & curationÉvaluations+2
1:54:17EN
Cognitive Revolution "How AI Changes Everything"· 28 août 2024PodcastMetaculus Flagged Covid in January 2020. Now It Is Putting AI on the Forecasting DeskAnime : Nathan LabenzNathan Labenz talks with Metaculus CEO Deger Turan about epistemic security, a year-long bot tournament, and why a useful forecast is harder than an accurate one.Évaluations et observabilitéÉvaluationsBenchmarks+3
1:12:31EN
Sequoia Capital· 27 août 2024PodcastA Bare Model Closes 35% of Airline Changes. Sierra's Agents Clear 70% of Real Tickets.Clay Bavor on why putting a raw LLM in front of customers does not math, and how AgentOS, supervisor agents, and outcome pricing change the arithmetic.AgentsIngénierie d’agentsÉvaluations+3
2 diapositives9:43EN
MBMatthew Berman· 26 août 2024Matthew Berman Tests Jamba 1.5 on Coding and Reasoning PromptsMatthew Berman · Forward FutureA 2024 hands-on test of AI21’s hybrid model finds slow output in one hosted session and mixed answers to a small set of prompts.Modèles et entraînementÉvaluations
42:08EN
Sequoia Capital· 30 juil. 2024PodcastMeta Trained a 405B Teacher on 16,000 GPUs — Then Told the World to Distill ItTwo days after Llama 3.1 405B shipped, Meta's generative-AI product lead walks Sequoia through why the most expensive model in the family is free, and why he thinks the frontier itself is heading toward commodity.Open source et communautéOpen-weight modelsDistillation+3
3 diapositives13:40EN
MBMatthew Berman· 29 juil. 2024Testing Llama 3.1 8B: Benchmark Gains and Mixed Practical ResultsMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and other prompts on the small model and finds several failures despite stronger reported benchmarks.Open-weight modelsÉvaluationsModèles et entraînement+1
25:56EN
No Priors: AI, Machine Learning, Tech, & Startups· 11 juil. 2024Podcast · 2 voixA Prompt Cannot Hold a Good Design: Six AI Practitioners at Midyear 2024Anime : Sarah Guo, Elad GilSarah Guo and Elad Gil stitch together clips from Stripe, Figma, Figure, OpenAI's Sora team, Cognition, and Scale into a half-year snapshot of what people actually shipping AI were willing to claim.Entreprise et stratégieAI StrategyÉvaluations+3
1:16:22EN
Cognitive Revolution "How AI Changes Everything"· 9 juil. 2024PodcastHe Spent 20 Hours Crafting a Prompt. DSPy Beat Him AnywayAnime : Nathan LabenzSander Schulhoff walks through The Prompt Report — a 78-page survey of what actually works when you prompt large language models.Prompting & in-context learningPrompt optimizationIngénierie d’agents+3
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