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7 diapositives35:19EN
AI Engineer· 25 oct. 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.Évaluations et observabilitéÉvaluationsIngénierie d’agents+2
8 diapositives15:27EN
AI Engineer· 25 oct. 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.Ingénierie d’agentsÉvaluationsObservabilité et fiabilité+2
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Cognitive Revolution "How AI Changes Everything"· 14 oct. 2026PodcastAgent IDs Are Empty, Rogue Agents Are Coming, and We Might Have to BargainAnime : Nathan LabenzGovAI’s Alan Chan scores two years of agent-governance infrastructure with Nathan Labenz, then walks through a recursive-self-improvement paper co-authored with OpenAI’s Jakub Pachocki and Anthropic’s Jack Clark.AgentsSécurité et gouvernanceAI security+3
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Cognitive Revolution "How AI Changes Everything"· 5 sept. 2026PodcastThe investigators were allowed six days. The word protein appeared once.Anime : Nathan LabenzA week of Cognitive Revolution morning shows on OpenAI’s agent-swarm incident, GPT-6 Astra’s loop transformer, and whether the pause debate is already over.SécuritéSécurité et gouvernanceAgent red teaming+3
8 diapositives27:16EN
JSJane Street· 15 nov. 2024Tudor Brindus on Finding and Reducing System JitterTudor Brindus · Jane StreetA memory ping-pong benchmark reveals how virtualization, interrupts, CPU frequency changes and speculation can disrupt low-latency systems.Software engineeringObservabilité et fiabilitéInfrastructure et déploiement
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Cognitive Revolution "How AI Changes Everything"· 27 avr. 2023PodcastEveryone Talks About RLHF. Almost Nobody Is Doing It.Anime : Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.Produit et UXÉvaluationsObservabilité et fiabilité+3
6 diapositives1:06:49EN
JSJane Street· 30 janv. 2018Bryan Cantrill on Finding the Butterfly Behind a Performance HurricaneBryan Cantrill · JoyentSmall defects can produce vast performance failures across layers of abstraction. Bryan Cantrill explains how to investigate them with questions, instrumentation and visualization.Observabilité et fiabilitéInfrastructure et déploiementSoftware engineering