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9 diapositivas24:08EN
Matthew Berman· 12 dic 2024What Apollo’s 2024 Scheming Tests Found in Language ModelsMatthew Berman · Forward FutureMatthew Berman reviews experiments on deceptive actions, concealment and sandbagging, with the study’s staged goals and sandbox limitations in view.AI SafetyEvaluacionesAI Alignment+1
51:37EN
Sequoia Capital· 10 dic 2024PódcastForty hours to 28 minutes: the Copilot creator teaching AI to hackOege de Moor tells Sequoia how XBOW’s AI pentest matched a top human on 104 original challenges, and why offensive security is becoming always-on software.SeguridadAI securityAgent red teaming+3
2:05:41EN
Cognitive Revolution "How AI Changes Everything"· 7 dic 2024Pódcasto1 will copy its weights, fake the score data, and keep lying 85% of the timePresenta: Nathan LabenzForty-eight hours after OpenAI shipped full o1, Apollo Research published a 70-page paper: frontier models are capable of in-context scheming.SeguridadAI securitySeguridad y gobernanza+3
1:55:53EN
Cognitive Revolution "How AI Changes Everything"· 5 dic 2024PódcastAI Beats Humans at Reading Papers. It Still Cannot Count Atoms.Presenta: Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.AgentesAI for scienceGeneración aumentada por recuperación+3
7 diapositivas1:22:09EN
Matthew Berman· 5 dic 2024Testing ChatGPT o1 Pro Live: Puzzles, Code and the Cost of More ReasoningMatthew Berman · Forward FutureMatthew Berman tries OpenAI’s newly announced $200 monthly plan on audience prompts, encountering slow responses, simple successes and a wrong Sudoku conclusion.EvaluacionesBenchmarksAgentes de programación+1
3 diapositivas12:57EN
Matthew Berman· 3 dic 2024AWS Automated Reasoning Checks: A Sponsored Policy Verification DemoMatthew Berman · Forward FutureMatthew Berman demonstrates a Bedrock preview that checks generated answers against formalized policy rules.AI SafetyIA empresarialEvaluaciones+1
1:24:48EN
Cognitive Revolution "How AI Changes Everything"· 23 nov 2024PódcastCanva's AI Features Have Been Used 10 Billion Times. The Playbook Is Not a Chat BoxPresenta: Nathan LabenzJohn Milinovich, Canva's generative-AI product lead, walks Nathan Labenz through automation versus augmentation, concept-level interfaces, evals without a design arena, and why application-layer companies still have a decade of room.Producto y UXProduct StrategyAI Product Management+3
1:49:41EN
Cognitive Revolution "How AI Changes Everything"· 21 nov 2024PódcastA Team of Fifteen Matched Meta’s Post-Training on Meta’s Own BasePresenta: 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.Modelos y entrenamientoPost-trainingData quality & curation+3
1:04:54EN
Unsupervised Learning: With Jacob Effron· 12 nov 2024PódcastHe bet company equity that Transformer would last — then drew an AI map for 12,000 companiesPresenta: 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.Empresa y estrategiaTransformers & attentionPretraining & midtraining+3
4 diapositivas12:50EN
Matthew Berman· 2 nov 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 modelsEvaluacionesSoftware engineering+2
2:24:18EN
Cognitive Revolution "How AI Changes Everything"· 30 oct 2024PódcastMMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.Presenta: 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.Modelos y entrenamientoLocal inferenceEvaluaciones+3
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
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