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6 diapositives25:50EN
MBMatthew Berman· 24 oct. 2026Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.Open-weight modelsBenchmarksAI cost & performance+1
5 diapositives12:14EN
MBMatthew Berman· 14 oct. 2026Gemini 4 Argon Tested: 3D Demos, a Spreadsheet Prototype and Benchmark ResultsMatthew Berman · Forward FutureMatthew Berman tests Google’s model on games and visual projects, then compares reported coding and agent benchmarks.GeminiBenchmarksAgents de code+1
5 diapositives10:36EN
MBMatthew Berman· 13 oct. 2026Meta Muse Wonder Tested: Strong Benchmarks, Mixed Demos and Quota FrictionMatthew Berman · Forward FutureMatthew Berman tests Meta’s models on browser demos and reviews their published benchmark scores, availability and cost.Modèles et entraînementBenchmarksAI cost & performance+1
5 diapositives21:29EN
MBMatthew Berman· 7 oct. 2026Mistral Large 4 Preview: European Open Weights, Cyber Benchmarks and Setup FrictionMatthew Berman · Forward FutureMatthew Berman reviews the model’s reported specifications and benchmarks, then tests it in an agent coding workflow.Open-weight modelsBenchmarksAI security+1
5 diapositives16:59EN
MBMatthew Berman· 29 sept. 2026Claude Sonnet 5.5 Tested: Games, 3D Scenes and a Lower-Cost Opus AlternativeMatthew Berman · Forward FutureMatthew Berman demonstrates generated projects and compares Sonnet’s reported benchmark scores and API prices with Opus.AnthropicAgents de codeBenchmarks+1
5 diapositives16:57EN
MBMatthew Berman· 22 sept. 2026Grok 4.7 Compared: Coding, Knowledge Work and Cost per TaskMatthew Berman · Forward FutureMatthew Berman examines reported benchmarks and prices while noting missing competitors and limited hands-on testing.BenchmarksAI cost & performanceAgents de code+1
1:43:45EN
Cognitive Revolution "How AI Changes Everything"· 30 juil. 2026PodcastA $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can WinAnime : Nathan LabenzAdam Gleave walks through FAR.AI’s first head-to-head AI security leaderboard, and explains why a decade of offense-dominant thinking is starting to crack.SécuritéAI securitySécurité et gouvernance+3
1:44:28EN
Cognitive Revolution "How AI Changes Everything"· 13 juin 2026PodcastFable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed overAnime : Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.SécuritéSécurité et gouvernanceIngénierie d’agents+3
2:38:48EN
Cognitive Revolution "How AI Changes Everything"· 26 avr. 2026PodcastA thousand searches for five cents, and a high score that did not require cheatingAnime : Nathan LabenzOn a Cognitive Revolution morning show, Ceramic’s Anna Patterson collides cheap search with GPT-5.5’s clean Vending-Bench run, Zvi’s case for model welfare, and analog chips that cut matrix-multiply energy about thirtyfold.Entreprise et stratégieGénération augmentée par récupérationSearch & retrieval+3
1:57:29EN
Cognitive Revolution "How AI Changes Everything"· 4 avr. 2026PodcastFrontier vision models score 12.5%: Joseph Nelson on the real waterline of computer visionAnime : Nathan LabenzThe Roboflow CEO tells Nathan Labenz why vision still lags language, how to distill SAM 3 into an edge model for Wimbledon, and why the United States has almost never led open-source vision.Multimodal et médiasMultimodal AIVision et vidéo+3
2:03:56EN
Cognitive Revolution "How AI Changes Everything"· 25 févr. 2026Podcast260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AIAnime : Nathan LabenzKaran Singhal tells Nathan Labenz how ChatGPT Health was evaluated with physicians, walled off from model training, and aimed at raising both the floor and the ceiling of human health.Entreprise et stratégieAI in healthcareÉvaluations+3
7 diapositives1:20:57EN
JSJane Street· 23 déc. 2025Matt Godbolt: Inside Skylake’s Out-of-Order PipelineMatt GodboltA guided tour of instruction decoding, register renaming, execution and memory ordering, grounded in reverse engineering and careful measurements.SemiconductorsSoftware engineeringBenchmarks
1:58:48EN
Cognitive Revolution "How AI Changes Everything"· 18 déc. 2025PodcastARC Went from $1,000 a Task to Pocket Change. That Is Not a Normal Year of AIAnime : Nathan LabenzCognitive Revolution’s first live show compresses nine conversations into a year-end scan of denial, sample efficiency, companions, memory, Gemini 3 Flash, and scientific judgment.Entreprise et stratégieBenchmarksAGI+3
48:00EN
Unsupervised Learning: With Jacob Effron· 15 déc. 2025PodcastA Two-Second Vote Is Training Models to Be ClickbaitAnime : Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.Évaluations et observabilitéRL environments & simulatorsData quality & curation+3
1:25:54EN
Cognitive Revolution "How AI Changes Everything"· 3 déc. 2025PodcastHours after training ends, Z.ai puts the weights on the internetAnime : Nathan LabenzZixuan Li of Z.ai tells ChinaTalk how a Chinese lab ships GLM, treats open weights as a ticket into Western ecosystems, and still sees itself as an upstart.Entreprise et stratégieOpen-source ecosystemsOpen-weight models+3
1:04:50EN
Cognitive Revolution "How AI Changes Everything"· 25 nov. 2025PodcastUseful AI Work Is Doubling Every Four Months. Schools Should Plan Accordingly.Anime : Nathan LabenzIn a keynote to K-12 educators, Cognitive Revolution host Nathan Labenz argued that task length, not chat quality, is the number that should reshape how schools think.AI in EducationSécurité et gouvernanceReward hacking+3
1:39:05EN
Cognitive Revolution "How AI Changes Everything"· 29 oct. 2025PodcastThe Summer GPT-5 Disappointed Does Not Mean AI Progress Has StalledAnime : Nathan LabenzNathan Labenz tells Erik Torenberg why the GPT-5 backlash mixed up product mishaps, naming chaos, and a real jump in capabilities.Entreprise et stratégieScaling LawsReasoning & test-time compute+3
1:25:32EN
Cognitive Revolution "How AI Changes Everything"· 2 juil. 2025Podcasto3 Invented a Voting Rule and Kept the Job: Four Weeks Inside the AI VillageAnime : Nathan LabenzAdam Binksmith on putting Claude, o3, and Gemini in a shared world for weeks—and why most people still imagine multi-agent life as one AI times four.AgentsMulti-agent systemsAgent memory+3
54:53EN
Unsupervised Learning: With Jacob Effron· 17 juin 2025PodcastA Free Voting Board Burned $2 Million. Then It Raised $100 Million.Anime : Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.Évaluations et observabilitéÉvaluationsBenchmarks+3
47:00EN
Unsupervised Learning: With Jacob Effron· 8 mai 2025PodcastAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadeAnime : Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.Modèles et entraînementÉvaluationsPost-training+3
3 diapositives7:33EN
MBMatthew Berman· 4 avr. 2025Ace Computer-Use Agent: Fast Desktop and Browser DemonstrationsMatthew Berman · Forward FutureMatthew Berman reviews General Agents’ examples and reported click accuracy and latency, while noting he has not yet tested Ace himself.Computer useAgentsBenchmarks
3:18:45EN
Cognitive Revolution "How AI Changes Everything"· 20 févr. 2025Podcast5,000 Samples Topped ARC-AGI. Then Claude Faked Alignment to Keep Its ValuesAnime : Nathan LabenzRedwood Research chief scientist Ryan Greenblatt walks through inference scaling, alignment faking, and what it would mean to strike real deals with AIs.SécuritéSécurité et gouvernanceÉvaluations+3
57:11EN
Unsupervised Learning: With Jacob Effron· 30 janv. 2025PodcastA Million Tokens Cannot Write a Good JokeAnime : Jacob EffronPrinceton's Arvind Narayanan on why agent evals mislead, inference scaling hits a wall, and AI looks more like the internet than an overnight revolution.Évaluations et observabilitéÉvaluationsBenchmarks+3
1:48:20EN
Cognitive Revolution "How AI Changes Everything"· 25 janv. 2025PodcastFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the TableAnime : Nathan LabenzOn Inauguration Day 2025, DeepSeek and Moonshot dropped reasoning-model results that Nathan Labenz reads as proof the reinforcement-learning recipe is simple, public, and still climbing.Modèles et entraînementReinforcement LearningReasoning & test-time compute+3
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