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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 BaseModeration: 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.Modelle & TrainingPost-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 companiesModeration: 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.Unternehmen & StrategieTransformers & attentionPretraining & midtraining+3
2:24:18EN
Cognitive Revolution "How AI Changes Everything"· 30. Okt. 2024PodcastMMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.Moderation: 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.Modelle & TrainingLocal inferenceEvals+3
56:10EN
Unsupervised Learning: With Jacob Effron· 29. Okt. 2024PodcastDeepL Beat Google at Translation by Refusing to Be a General ModelModeration: Jacob EffronOnly 18 percent of the world speaks English—and a Cologne startup turned that fact into a $2 billion language-AI company.Unternehmen & StrategieData quality & curationEvals+3
44:30EN
No Priors: AI, Machine Learning, Tech, & Startups· 24. Okt. 2024Podcast · 2 Stimmen100,000 Rides a Week, Six Times Fewer Airbag Crashes: Waymo’s Co-CEO on Eighteen Years of Full AutonomyModeration: 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.Infrastruktur & DeploymentAutonomous DrivingSicherheit & Governance+3
1:23:37EN
Cognitive Revolution "How AI Changes Everything"· 23. Okt. 2024PodcastNine of the top ten research ideas were Claude'sModeration: 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.Evals & ObservabilityEvalsBenchmarks+3
2:37:47EN
Cognitive Revolution "How AI Changes Everything"· 19. Okt. 2024PodcastThe intern who wrote GELU now wants humanity's last examModeration: 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.SicherheitAI securitySicherheit & Governance+3
2:25:53EN
Cognitive Revolution "How AI Changes Everything"· 16. Okt. 2024PodcastWhen GPT-4's Base Model Introduced Itself, 75% of the Answers Were About AIModeration: 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.SicherheitSicherheit & GovernanceEvals+3
38:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 8. Okt. 2024Podcast · 2 StimmenHalf of Production AI Is RAG. Fine-Tuning Almost Disappeared.Moderation: Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.Evals & ObservabilityEvalsRetrieval-Augmented Generation+3
1:06:48EN
Unsupervised Learning: With Jacob Effron· 3. Okt. 2024Podcasto1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning PointModeration: Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.Modelle & TrainingReasoning & test-time computeAI research+3
45:22EN
Sequoia Capital· 2. Okt. 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.Modelle & TrainingReasoning & 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 SecurityModeration: 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.SicherheitSicherheit & GovernanceEvals+3
2:03:55EN
Cognitive Revolution "How AI Changes Everything"· 18. Sept. 2024PodcastThe More You Constrain an Agent, the More You Can Trust ItModeration: 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.AgentenAgent EngineeringWorkflow 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 strangerModeration: 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.SicherheitSicherheit & GovernanceAgent red teaming+3
1:06:15EN
Cognitive Revolution "How AI Changes Everything"· 14. Sept. 2024PodcastJailbreaks Got Harder. Scale Made One Attack Worse.Moderation: 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.SicherheitAI securityRed Teaming+3
6 Folien1:31:56EN
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.EvalsCoding-Agenten
2 Folien35:30EN
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.Modelle & TrainingData quality & curationEvals+2
1:54:17EN
Cognitive Revolution "How AI Changes Everything"· 28. Aug. 2024PodcastMetaculus Flagged Covid in January 2020. Now It Is Putting AI on the Forecasting DeskModeration: 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.Evals & ObservabilityEvalsBenchmarks+3
1:12:31EN
Sequoia Capital· 27. Aug. 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.AgentenAgent EngineeringEvals+3
2 Folien9:43EN
MBMatthew Berman· 26. Aug. 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.Modelle & TrainingEvals
42:08EN
Sequoia Capital· 30. Juli 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 & CommunityOpen-weight modelsDistillation+3
3 Folien13:40EN
MBMatthew Berman· 29. Juli 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 modelsEvalsModelle & Training+1
25:56EN
No Priors: AI, Machine Learning, Tech, & Startups· 11. Juli 2024Podcast · 2 StimmenA Prompt Cannot Hold a Good Design: Six AI Practitioners at Midyear 2024Moderation: 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.Unternehmen & StrategieAI StrategyEvals+3
1:16:22EN
Cognitive Revolution "How AI Changes Everything"· 9. Juli 2024PodcastHe Spent 20 Hours Crafting a Prompt. DSPy Beat Him AnywayModeration: 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 optimizationAgent Engineering+3
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