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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.Flujos de desarrollo y pruebasCode review & verificationObservabilidad y fiabilidad+2
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No Priors: AI, Machine Learning, Tech, & Startups· 31 ago 2023Pódcast · 2 vocesChatGPT Runs on His Framework. He Still Doesn't Want You Training a ModelPresenta: 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.Infraestructura y despliegueFlujos de desarrollo y pruebasObservabilidad y fiabilidad+3
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No Priors: AI, Machine Learning, Tech, & Startups· 3 ago 2023Pódcast · 2 vocesEight Years of No Growth, Then OpenAI and NVIDIA Became His CustomersPresenta: 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.Evaluaciones y observabilidadObservabilidad y fiabilidadFlujos de desarrollo y pruebas+3
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No Priors: AI, Machine Learning, Tech, & Startups· 15 jun 2023Pódcast · 2 vocesAI Will Write Ten Times More Code. Someone Still Has to Keep It Running.Presenta: Sarah Guo, Elad GilDatadog co-founder Olivier Pomel on why faster generation moves value from writing software to understanding, securing, and operating it.Evaluaciones y observabilidadObservabilidad y fiabilidadDeveloper productivity+3