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56:10EN
Unsupervised Learning: With Jacob Effron· 29 oct 2024PódcastDeepL Beat Google at Translation by Refusing to Be a General ModelPresenta: Jacob EffronOnly 18 percent of the world speaks English—and a Cologne startup turned that fact into a $2 billion language-AI company.Empresa y estrategiaData quality & curationEvaluaciones+3
6 diapositivas12:29EN
Matthew Berman· 25 oct 2024Testing the Updated Claude 3.5 Sonnet: Coding, Reasoning and VisionMatthew Berman · Forward FutureMatthew Berman tries the October 2024 model on Python games, logic puzzles and images, with mixed results and some ambiguous grading.BenchmarksAgentes de programaciónEvaluaciones+1
44:30EN
No Priors: AI, Machine Learning, Tech, & Startups· 24 oct 2024Pódcast · 2 voces100,000 Rides a Week, Six Times Fewer Airbag Crashes: Waymo’s Co-CEO on Eighteen Years of Full AutonomyPresenta: 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.Infraestructura y despliegueAutonomous DrivingSeguridad y gobernanza+3
1:23:37EN
Cognitive Revolution "How AI Changes Everything"· 23 oct 2024PódcastNine of the top ten research ideas were Claude'sPresenta: 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.Evaluaciones y observabilidadEvaluacionesBenchmarks+3
2:37:47EN
Cognitive Revolution "How AI Changes Everything"· 19 oct 2024PódcastThe intern who wrote GELU now wants humanity's last examPresenta: 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.SeguridadAI securitySeguridad y gobernanza+3
2:25:53EN
Cognitive Revolution "How AI Changes Everything"· 16 oct 2024PódcastWhen GPT-4's Base Model Introduced Itself, 75% of the Answers Were About AIPresenta: 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.SeguridadSeguridad y gobernanzaEvaluaciones+3
5 diapositivas9:38EN
Matthew Berman· 15 oct 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 ModelsEvaluacionesBenchmarks+2
3 diapositivas1:02:04EN
Matthew Berman· 11 oct 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 diapositivas26:43EN
Matthew Berman· 10 oct 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.EvaluacionesReasoning & test-time computeAI research+2
38:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 8 oct 2024Pódcast · 2 vocesHalf of Production AI Is RAG. Fine-Tuning Almost Disappeared.Presenta: Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.Evaluaciones y observabilidadEvaluacionesGeneración aumentada por recuperación+3
1:06:48EN
Unsupervised Learning: With Jacob Effron· 3 oct 2024Pódcasto1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning PointPresenta: Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.Modelos y entrenamientoReasoning & test-time computeAI research+3
45:22EN
Sequoia Capital· 2 oct 2024PódcastAlphaGo 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.Modelos y entrenamientoReasoning & test-time computeReinforcement Learning+3
2:38:56EN
Cognitive Revolution "How AI Changes Everything"· 25 sept 2024PódcastHow Anthropic Decides a Model Can Ship: Red Lines, Yellow Lines, and 8% of Staff on SecurityPresenta: 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.SeguridadSeguridad y gobernanzaEvaluaciones+3
2:03:55EN
Cognitive Revolution "How AI Changes Everything"· 18 sept 2024PódcastThe More You Constrain an Agent, the More You Can Trust ItPresenta: 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.AgentesIngeniería de agentesWorkflow automation+3
2:10:13EN
Cognitive Revolution "How AI Changes Everything"· 14 sept 2024PódcastA 30x drop in scheming is not zero, and the chain of thought is getting strangerPresenta: 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.SeguridadSeguridad y gobernanzaAgent red teaming+3
1:06:15EN
Cognitive Revolution "How AI Changes Everything"· 14 sept 2024PódcastJailbreaks Got Harder. Scale Made One Attack Worse.Presenta: 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.SeguridadAI securityRed Teaming+3
5 diapositivas10:57EN
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 computeEvaluaciones+2
6 diapositivas1:31:56EN
Matthew 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.EvaluacionesAgentes de programación
5 diapositivas19:38EN
Matthew Berman· 9 sept 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 modelsEvaluaciones+2
5 diapositivas12:03EN
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 ModelsEvaluaciones+2
2 diapositivas35:30EN
Matthew 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.Modelos y entrenamientoData quality & curationEvaluaciones+2
1:54:17EN
Cognitive Revolution "How AI Changes Everything"· 28 ago 2024PódcastMetaculus Flagged Covid in January 2020. Now It Is Putting AI on the Forecasting DeskPresenta: 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.Evaluaciones y observabilidadEvaluacionesBenchmarks+3
1:12:31EN
Sequoia Capital· 27 ago 2024PódcastA 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.AgentesIngeniería de agentesEvaluaciones+3
2 diapositivas9:43EN
Matthew Berman· 26 ago 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.Modelos y entrenamientoEvaluaciones
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