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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
5 diapositives34:11EN
GOTO Conferences· 23 oct. 2026Anatoliy Bilenko and Alberto Carretero: Making Database Protocols Reliable with Formal Methods and AIAnatoliy Bilenko, Alberto Carretero · CanonicalCanonical’s database engineers connect executable specifications, model-based tests, failure exploration, and reconstructed execution histories—and explain why none of these techniques proves a real system correct on its own.Workflows de développement et testsCode review & verificationObservabilité 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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Sequoia Capital· 6 oct. 2026PodcastAt 100,000 Accelerators, Something Fails Every HourGoogle AI infrastructure chief Amin Vahdat tells Sequoia's Sonya Huang why FLOPS is a vanity metric, why the TPU line split in two, and why he would rather wait on a utility than build his own gigawatt.Infrastructure et déploiementAI cost & performanceInference+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
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Sequoia Capital· 10 mars 2026PodcastFour of the Top Five Defense Primes Still Run Hardware Tests on PowerPointNominal’s cofounders argue that hardware never got the last twenty years of software infrastructure, and that physical AI will stall until test data lives in one place.Infrastructure et déploiementData quality & curationObservabilité et fiabilité+3
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Sequoia Capital· 24 juin 2025PodcastFifty People in Slack. Four Minutes to the Smoking Gun.Traversal's co-founders on turning DevOps heart attacks into agent-run root cause analysis — and why observability's second-largest software spend still leaves troubleshooting as a whodunit.Évaluations et observabilitéObservabilité et fiabilitéIngénierie d’agents+3
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Sequoia Capital· 8 oct. 2024PodcastGPT-4 Gets Half Your Data Questions Wrong. Snowflake's Answer Is Systems DesignUsing an off-the-shelf model on enterprise data yields about 45% reliability—one wrong answer out of every two.Entreprise et stratégieIA en entrepriseAI Strategy+3
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Sequoia Capital· 18 juin 2024PodcastUnconstrained agents captivated Twitter. Custom ones are what ship.LangChain founder Harrison Chase tells Sequoia’s Training Data what an agent actually is, why AutoGPT stalled, and which cognitive architectures reach production.AgentsIngénierie d’agentsAgent orchestration+3
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No Priors: AI, Machine Learning, Tech, & Startups· 31 août 2023Podcast · 2 voixChatGPT Runs on His Framework. He Still Doesn't Want You Training a ModelAnime : Sarah Guo, Elad GilVercel founder Guillermo Rauch tells No Priors why frontend is the last mile of AI, why first-generation AI frameworks will be rewritten, and why bots are already stealing your tokens.Infrastructure et déploiementWorkflows de développement et testsObservabilité et fiabilité+3
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No Priors: AI, Machine Learning, Tech, & Startups· 3 août 2023Podcast · 2 voixEight Years of No Growth, Then OpenAI and NVIDIA Became His CustomersAnime : Sarah Guo, Elad GilWeights & Biases CEO Lukas Biewald tells No Priors how a labeling company with no chasm to cross funded the ML developer tools that trained most of the large language models.Évaluations et observabilitéObservabilité et fiabilitéWorkflows de développement et tests+3
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No Priors: AI, Machine Learning, Tech, & Startups· 15 juin 2023Podcast · 2 voixAI Will Write Ten Times More Code. Someone Still Has to Keep It Running.Anime : Sarah Guo, Elad GilDatadog co-founder Olivier Pomel on why faster generation moves value from writing software to understanding, securing, and operating it.Évaluations et observabilitéObservabilité et fiabilitéDeveloper productivity+3
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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