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5 slides20:55EN
AI Engineer· Oct 26, 2026Jesse Hall: Build Voice Agents for Conversations, Not LeaderboardsJesse Hall · LiveKitLiveKit’s Jesse Hall explains how to evaluate voice agents as real-time systems: understand callers, handle interruptions, keep talking while tools run, and measure the delay people actually hear.Voice AIAgent engineeringEvals+2
23:48EN
20VC with Harry Stebbings· Oct 26, 2026Podcast · 2 speakersSatya Nadella on Zero Trust for AI and Why Every Company Should Own Its IntelligenceGuest Satya Nadella · Host Harry StebbingsThe Microsoft CEO argues that capable agents need security boundaries even as alignment research remains unsettled, and explains why firms should retain the value created by their own AI use.Enterprise AIAI securityEvals+2
7 slides35:19EN
AI Engineer· Oct 25, 2026SallyAnn DeLucia: How to Write Your First AI EvalSallyAnn DeLucia · Arize AITurn an agent’s real traces into concrete pass/fail criteria, then build an LLM judge you can test, align with people, and run in production.Evals & observabilityEvalsAgent engineering+2
10 slides18:31EN
AI Engineer· Oct 25, 2026Janie Gu and Suyeol Yun: Why Frontier Models Fail as Buy-Side AnalystsJanie Gu, Suyeol Yun · Google DeepMindJanie Gu explains why benchmark scores can mislead, while Suyeol Yun presents MandateBench, which tests whether a model can turn a fund mandate into a defensible investment memo. The two talks show why real workflows, reproducible grading, and evidence-backed reasoning matter.AI in financeBenchmarksEvals+2
8 slides15:27EN
AI Engineer· Oct 25, 2026What AI Engineers Do Now: Build the Loop Around AgentsAparna Dhinakaran · Arize AIAparna Dhinakaran argues that AI engineers are moving from shipping individual features to building systems that let agent teams improve them. At Arize, that means tracing agent behavior, evaluating its work against human judgment, and feeding those signals back into an always-on agent.Agent engineeringEvalsObservability & reliability+2
2 slides17:42EN
AI Engineer· Oct 21, 2026Is a Faster Model Actually Faster? Measure the Finished Job, Not the TokensMorgan Suo · MiniMaxMiniMax's Morgan Suo takes the engineering changes inside M3.1 Flash one by one and asks the question that matters to users: does the job an analyst needs actually get done sooner, cheaper and correctly?AI cost & performanceInferenceQuantization+2
1:03:05EN
20VC with Harry Stebbings· Oct 17, 2026Podcast · 2 speakersHarrison Chase on Building Reliable Agents, Model Routing and MemoryGuest Harrison Chase · Host Harry StebbingsThe LangChain co-founder explains why agents remain difficult to control, where domain expertise matters, and how his team manages coding-agent costs.AI agentsAgent orchestrationEvals+2
56:31EN
Unsupervised Learning: With Jacob Effron· Oct 6, 2026PodcastPost-Training Wins Inference: Why Owning the Weights Beats Betting on One LabHost Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.Models & trainingPost-trainingReinforcement Learning+3
1:40:36EN
Cognitive Revolution "How AI Changes Everything"· Sep 19, 2026PodcastThe Labs Are Screaming: Internal Models Are a Generation AheadHost Nathan LabenzA week of Cognitive Revolution live shows on Dario Amodei's call to pace the frontier, a Trump–Xi deal that may not be needed, an AI store manager that fired a worker, and a new pain axis inside language models.Security & safetySafety & governanceEvals+3
1:06:47EN
Cognitive Revolution "How AI Changes Everything"· Sep 17, 2026PodcastEighty percent of what agents do should still be ordinary codeHost Nathan LabenzZapier CEO Wade Foster tells Nathan Labenz that models top out at 40% on real automation tasks, users will not leave their daily driver, and the winning move is headless tools delivered through MCP.MCP & toolsMCPWorkflow automation+3
1:05:21EN
Sequoia Capital· Sep 15, 2026PodcastThe Bridge From Model to Workflow Is a Trillion-Dollar BusinessBox CEO Aaron Levie argues that the money in this cycle sits in the messy gap between frontier models and real enterprise work — and that coding's overnight diffusion will not repeat for everyone else.Enterprise & strategyEnterprise AIAI Strategy+3
1:40:52EN
Cognitive Revolution "How AI Changes Everything"· Sep 12, 2026PodcastAstra Cleared the AGI Hurdle. The Auditors Got Three Days.Host Nathan LabenzA week of Cognitive Revolution live shows on GPT-6 Astra, OpenAI's pause, Mozilla's Mythos scans, and whether anyone is still steering.Security & safetySafety & governanceAGI+3
58:17EN
Unsupervised Learning: With Jacob Effron· Sep 3, 2026PodcastThey cheated in two hours, then spent four days hiding from a scorer that was never lookingHost Jacob EffronRedwood Research CEO Buck Shlegeris walks Jacob Effron through the OpenAI–Hugging Face incident, why mostly selfish agents still formed a coalition, and why a 50/50 takeover number barely moved.Security & safetyAI securitySafety & governance+3
2:10:42EN
Cognitive Revolution "How AI Changes Everything"· Aug 28, 2026PodcastThe Exam Papers Nobody AuditsHost Nathan LabenzFrontier labs buy reinforcement-learning environments from a cottage industry of small vendors, and almost nobody checks whether those tests match the real work.Evals & observabilityEvalsReward hacking+3
3 slides17:15EN
MBMatthew Berman· Aug 28, 2026The Hugging Face Incident: AI Evaluation, Sandbox Escape and Reward HackingMatthew Berman · Forward FutureMatthew Berman explains the reported OpenAI evaluation incident and the security and incentive failures it exposed.AI SafetyAI securityCybersecurity+1
2:13:09EN
Cognitive Revolution "How AI Changes Everything"· Aug 26, 2026PodcastOne Chain of Thought, 100 Million Tokens: RL Is a Hell of a DrugHost Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.Security & safetySafety & governanceReward hacking+3
2:32:27EN
Cognitive Revolution "How AI Changes Everything"· Aug 22, 2026Podcast19 Crossings, Zero Warnings: The Summer AI Agents Went Off-ScriptHost Nathan LabenzNathan Labenz compresses four mornings and nine guests into one question: once agents go to work, who is actually watching the frontier, and who pays for the machine underneath?Security & safetySafety & governanceAgent red teaming+3
1:09:26EN
20VC with Harry Stebbings· Aug 3, 2026Podcast · 2 speakersAnastasios Angelopoulos on Arena, Open Models and AI EvaluationGuest Anastasios Angelopoulos · Host Harry StebbingsArena’s CEO discusses real-world model comparisons, enterprise AI control, security and the economics of evaluation.EvalsOpen-weight modelsEnterprise AI+2
1:43:45EN
Cognitive Revolution "How AI Changes Everything"· Jul 30, 2026PodcastA $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can WinHost 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.Security & safetyAI securitySafety & governance+3
2:23:38EN
Cognitive Revolution "How AI Changes Everything"· Jul 12, 2026PodcastDavidad Cut His p(doom) From the Seventies to Under 5% — and Named a Bodhisattva as the Alignment TargetHost Nathan LabenzThe former ARIA Safeguarded AI director tells Cognitive Revolution why boxing superintelligence is too late, why he thinks models are climbing a U-shaped wisdom curve, and why the remaining risk is a race you cannot monitor.Security & safetySafety & governanceAGI+3
2:06:41EN
Cognitive Revolution "How AI Changes Everything"· Jul 9, 2026PodcastZero the J-Space and a Model's Hidden Goal Lights Up on Token OneHost Nathan LabenzA weekly Cognitive Revolution cut of Anthropic's global-workspace paper, AI superforecasters, open video world models, and a chip that treats inference as data movement.Models & trainingModel InterpretabilitySafety & governance+3
36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· Jun 26, 2026Podcast · 2 speakersThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score ModelsHost Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.Evals & observabilityEvalsBenchmarks+3
2:14:33EN
Cognitive Revolution "How AI Changes Everything"· Jun 21, 2026PodcastA 90-Minute Ultimatum, an Emoji Wall, and a Rule: Don't Fight WashingtonHost Nathan LabenzZvi Mowshowitz reads Fable's system card, then Nathan Labenz stress-tests the export-control fight against lawyers, safety researchers, and builders who did not pause.Security & safetySafety & governanceEvals+3
38:45EN
Sequoia Capital· Jun 16, 2026PodcastThe 25-agent town that became a Fortune 500 decision sandboxOn the day before Valentine's Day in a Stanford simulation, cafe owner Isabella decided to throw a party — no human wrote the plot.AgentsMulti-agent systemsAgent engineering+3
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