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Most ML training bugs don't announce themselves. They hide in floating-point rounding, batch distribution drift, and concurrency issues that only emerge across thousands of GPUs. The hard part isn't writing the algorithm — it's building infrastructure disciplined enough to tell the difference betwe…
Durable execution has been solving reliability problems for decades. Now it's the missing primitive for agentic AI systems. We're joined by Jeremy Edberg, C-Suite Advisor* at DBOS, Inc., to explore how durable execution works, why it matters for building production-ready AI agents, and what lesson…
In this episode, we talk with Bassam Tabbara, Founder and CEO at Upbound, Founder of Crossplane, and Founder of Modelplane, about what it takes to run AI inference at scale. Bassam walks us through his path from writing BASIC on a ZX Spectrum in Lebanon to building the early automation behind Hotm…
Building reliable agents begins with a strong data foundation. As AI systems move from experiments to production, teams need clearer ways to connect data, models, and real-world decision-making. In this inaugural episode of “Hello, Agent!” we talk with Nicolas Dupont, Founder and CEO at Cyborg Inc.…
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