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93 件
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スライド 5 枚20:55EN
AI Engineer· 2026年10月26日Jesse 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.音声 AIエージェント工学評価(Evals)+2
スライド 7 枚35:19EN
AI Engineer· 2026年10月25日SallyAnn 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.評価とオブザーバビリティ評価(Evals)エージェント工学+2
スライド 8 枚15:27EN
AI Engineer· 2026年10月25日What 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.エージェント工学評価(Evals)オブザーバビリティと信頼性+2
スライド 2 枚17:42EN
AI Engineer· 2026年10月21日Is 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
56:31EN
Unsupervised Learning: With Jacob Effron· 2026年10月6日ポッドキャストPost-Training Wins Inference: Why Owning the Weights Beats Betting on One Labホスト 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.モデルと学習Post-trainingReinforcement Learning+3
1:40:36EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月19日ポッドキャストThe Labs Are Screaming: Internal Models Are a Generation Aheadホスト 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.セキュリティと安全性安全性とガバナンス評価(Evals)+3
1:06:47EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月17日ポッドキャストEighty percent of what agents do should still be ordinary codeホスト 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 とツールMCPWorkflow automation+3
1:40:52EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月12日ポッドキャストAstra Cleared the AGI Hurdle. The Auditors Got Three Days.ホスト 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.セキュリティと安全性安全性とガバナンスAGI(汎用人工知能)+3
58:17EN
Unsupervised Learning: With Jacob Effron· 2026年9月3日ポッドキャストThey cheated in two hours, then spent four days hiding from a scorer that was never lookingホスト 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.セキュリティと安全性AI security安全性とガバナンス+3
2:10:42EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月28日ポッドキャストThe Exam Papers Nobody Auditsホスト 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.評価とオブザーバビリティ評価(Evals)Reward hacking+3
2:13:09EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月26日ポッドキャストOne Chain of Thought, 100 Million Tokens: RL Is a Hell of a Drugホスト Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.セキュリティと安全性安全性とガバナンスReward hacking+3
2:32:27EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月22日ポッドキャスト19 Crossings, Zero Warnings: The Summer AI Agents Went Off-Scriptホスト 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?セキュリティと安全性安全性とガバナンスAgent red teaming+3
1:43:45EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月30日ポッドキャストA $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can Winホスト 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.セキュリティと安全性AI security安全性とガバナンス+3
2:23:38EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月12日ポッドキャストDavidad Cut His p(doom) From the Seventies to Under 5% — and Named a Bodhisattva as the Alignment Targetホスト 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.セキュリティと安全性安全性とガバナンスAGI(汎用人工知能)+3
2:06:41EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月9日ポッドキャストZero the J-Space and a Model's Hidden Goal Lights Up on Token Oneホスト 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.モデルと学習Model Interpretability安全性とガバナンス+3
2:14:33EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月21日ポッドキャストA 90-Minute Ultimatum, an Emoji Wall, and a Rule: Don't Fight Washingtonホスト 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.セキュリティと安全性安全性とガバナンス評価(Evals)+3
1:44:28EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月13日ポッドキャストFable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed overホスト 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.セキュリティと安全性安全性とガバナンスエージェント工学+3
1:23:53EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月6日ポッドキャストCreators Cheer Filler-Word Removal and Boo Generative Videoホスト Nathan LabenzDescript CEO Laura Burkhauser maps the same customers' three-speed reaction to AI: deterministic buttons they love, an agentic co-editor they want but scold, and generative video they actively hate.プロダクトと UXProduct engineeringGenerative media+3
3:10:49EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月11日ポッドキャストCrunch Time: Ajeya Cotra's Playbook for the Months Before Superintelligenceホスト Nathan LabenzA conversation on recursive self-improvement, public warning systems, and using each generation of AI to align and control the next.セキュリティと安全性安全性とガバナンスAGI Timelines+3
1:18:46EN
Cognitive Revolution "How AI Changes Everything"· 2026年3月16日ポッドキャスト90 Slides in 45 Minutes: A Full-Time AI Scout Admits He Can No Longer Keep Upホスト Nathan LabenzNathan Labenz’s LexLab briefing for lawyers runs through the good, the bad, and the weird of frontier models — from triplicate second opinions on his son’s cancer care to AIs that know they are being tested.企業と戦略AI security安全性とガバナンス+3
2:17:36EN
Cognitive Revolution "How AI Changes Everything"· 2026年3月1日ポッドキャストCurrent Safety Techniques Will Not Give You Many Nines—and They May Fail Togetherホスト Nathan LabenzUK AISI chief scientist Geoffrey Irving on jailbreaks that never fail, correlated alignment failures, and why a government lab is funding theory.セキュリティと安全性安全性とガバナンス評価(Evals)+3
2:03:56EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月25日ポッドキャスト260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AIホスト 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.企業と戦略AI in healthcare評価(Evals)+3
54:26EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月22日ポッドキャストTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-Readyホスト Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.コーディングエージェントReinforcement Learningエージェント工学+3
1:57:56EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月5日ポッドキャストA Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding Pipelineホスト Nathan LabenzCEO Brian Elliott and CTO Sid Pardeshi tell Nathan Labenz how Blitzy turns a giant codebase into a map, then lets thousands of dynamically generated agents ship most of a multi-month project in days.コーディングエージェントAgent orchestrationコンテキストエンジニアリング+3
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