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1:49:41EN
Cognitive Revolution "How AI Changes Everything"· Nov 21, 2024PodcastA Team of Fifteen Matched Meta’s Post-Training on Meta’s Own BaseHost 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.Models & trainingPost-trainingData quality & curation+3
1:04:54EN
Unsupervised Learning: With Jacob Effron· Nov 12, 2024PodcastHe bet company equity that Transformer would last — then drew an AI map for 12,000 companiesHost 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.Enterprise & strategyTransformers & attentionPretraining & midtraining+3
4 slides12:50EN
Matthew Berman· Nov 2, 2024Comparing Three Local Coding Models on Games and Programming ChallengesMatthew Berman · Forward FutureMatthew Berman runs DeepSeek-Coder-V2 Lite, Yi-Coder 9B, and Qwen2.5-Coder 7B on a sponsored workstation. Their results vary by task and include manual corrections.Open-weight modelsEvalsSoftware engineering+2
2:24:18EN
Cognitive Revolution "How AI Changes Everything"· Oct 30, 2024PodcastMMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.Host 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.Models & trainingLocal inferenceEvals+3
56:10EN
Unsupervised Learning: With Jacob Effron· Oct 29, 2024PodcastDeepL Beat Google at Translation by Refusing to Be a General ModelHost Jacob EffronOnly 18 percent of the world speaks English—and a Cologne startup turned that fact into a $2 billion language-AI company.Enterprise & strategyData quality & curationEvals+3
44:30EN
No Priors: AI, Machine Learning, Tech, & Startups· Oct 24, 2024Podcast · 2 speakers100,000 Rides a Week, Six Times Fewer Airbag Crashes: Waymo’s Co-CEO on Eighteen Years of Full AutonomyHost 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 & deploymentAutonomous DrivingSafety & governance+3
1:23:37EN
Cognitive Revolution "How AI Changes Everything"· Oct 23, 2024PodcastNine of the top ten research ideas were Claude'sHost 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"· Oct 19, 2024PodcastThe intern who wrote GELU now wants humanity's last examHost 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.Security & safetyAI securitySafety & governance+3
2:25:53EN
Cognitive Revolution "How AI Changes Everything"· Oct 16, 2024PodcastWhen GPT-4's Base Model Introduced Itself, 75% of the Answers Were About AIHost 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.Security & safetySafety & governanceEvals+3
5 slides9:38EN
Matthew Berman· Oct 15, 2024Liquid Foundation Models: Company Benchmarks and a Hands-On TestMatthew Berman · Forward FutureMatthew Berman reviews Liquid AI’s 2024 model and memory claims, then tries the 40B preview on coding, logic, and instruction-following prompts.Foundation ModelsEvalsBenchmarks+2
3 slides1:02:04EN
Matthew Berman· Oct 11, 2024João Moura and Matthew Berman on Tesla’s Robotaxi Vision and Building AI AgentsMatthew Berman, João Moura, Elon Musk · Forward FutureA 2024 livestream examines Tesla’s Cybercab and Optimus announcements, then turns to CrewAI, enterprise agent workflows and a small model comparison.AI agentsAutonomous DrivingRobotics+2
6 slides26:43EN
Matthew Berman· Oct 10, 2024Testing OpenAI o1 on Planning, Rules and Spatial ReasoningMatthew Berman · Forward FutureMatthew Berman reviews a 2024 pilot study comparing o1-preview, o1-mini and GPT-4 on six planning domains.EvalsReasoning & test-time computeAI research+2
38:28EN
No Priors: AI, Machine Learning, Tech, & Startups· Oct 8, 2024Podcast · 2 speakersHalf of Production AI Is RAG. Fine-Tuning Almost Disappeared.Host 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· Oct 3, 2024Podcasto1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning PointHost Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.Models & trainingReasoning & test-time computeAI research+3
45:22EN
Sequoia Capital· Oct 2, 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.Models & trainingReasoning & test-time computeReinforcement Learning+3
2:38:56EN
Cognitive Revolution "How AI Changes Everything"· Sep 25, 2024PodcastHow Anthropic Decides a Model Can Ship: Red Lines, Yellow Lines, and 8% of Staff on SecurityHost 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.Security & safetySafety & governanceEvals+3
2:03:55EN
Cognitive Revolution "How AI Changes Everything"· Sep 18, 2024PodcastThe More You Constrain an Agent, the More You Can Trust ItHost 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.AgentsAgent engineeringWorkflow automation+3
2:10:13EN
Cognitive Revolution "How AI Changes Everything"· Sep 14, 2024PodcastA 30x drop in scheming is not zero, and the chain of thought is getting strangerHost 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.Security & safetySafety & governanceAgent red teaming+3
1:06:15EN
Cognitive Revolution "How AI Changes Everything"· Sep 14, 2024PodcastJailbreaks Got Harder. Scale Made One Attack Worse.Host 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.Security & safetyAI securityRed Teaming+3
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
6 slides1:31:56EN
Matthew Berman· Sep 12, 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 agents
5 slides19:38EN
Matthew Berman· Sep 9, 2024Reflection 70B: Conflicting Results and Unanswered QuestionsMatthew Berman · Forward FutureMatthew Berman reviews his early coverage, independent evaluations and competing claims about the September 2024 release.BenchmarksOpen-weight modelsEvals+2
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
2 slides35:30EN
Matthew Berman· Sep 6, 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.Models & trainingData quality & curationEvals+2
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