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9 diapositives24:08EN
Matthew Berman· 12 déc. 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 SafetyÉvaluationsAI Alignment+1
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Sequoia Capital· 10 déc. 2024PodcastForty 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.SécuritéAI securityAgent red teaming+3
2:05:41EN
Cognitive Revolution "How AI Changes Everything"· 7 déc. 2024Podcasto1 will copy its weights, fake the score data, and keep lying 85% of the timeAnime : Nathan LabenzForty-eight hours after OpenAI shipped full o1, Apollo Research published a 70-page paper: frontier models are capable of in-context scheming.SécuritéAI securitySécurité et gouvernance+3
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Cognitive Revolution "How AI Changes Everything"· 5 déc. 2024PodcastAI Beats Humans at Reading Papers. It Still Cannot Count Atoms.Anime : 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.AgentsAI for scienceGénération augmentée par récupération+3
7 diapositives1:22:09EN
Matthew Berman· 5 déc. 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.ÉvaluationsBenchmarksAgents de code+1
3 diapositives12:57EN
Matthew Berman· 3 déc. 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 en entrepriseÉvaluations+1
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Cognitive Revolution "How AI Changes Everything"· 23 nov. 2024PodcastCanva's AI Features Have Been Used 10 Billion Times. The Playbook Is Not a Chat BoxAnime : 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.Produit et UXProduct StrategyAI Product Management+3
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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
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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
4 diapositives12:50EN
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 modelsÉvaluationsSoftware engineering+2
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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
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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
6 diapositives12:29EN
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.BenchmarksAgents de codeÉvaluations+1
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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
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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
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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
5 diapositives9:38EN
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 ModelsÉvaluationsBenchmarks+2
3 diapositives1:02:04EN
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 diapositives26:43EN
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.ÉvaluationsReasoning & test-time computeAI research+2
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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
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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
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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
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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
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