Don't Take the Black Pill [video]
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Every byte moved has a cost. As model checkpoints grow to hundreds of gigabytes or even a terabyte, that cost adds up quickly. To make things even worse, moving... Every byte moved has a cost. As model checkpoints grow to hundreds of gigabytes or even a terabyte, that cost adds up quickly. To make things even worse, moving these model weights around the cluster is extremely common. For instance, a cold start may pull weights from remote storage into GPU memory; autoscaling and rolling updates mu
Claude Opus 5, Anthropic’s newest Opus model, is now available in GitHub Copilot. It is designed for complex, long-running coding tasks that require careful reasoning, effective tool use, and reliable… The post Claude Opus 5 is now available in GitHub Copilot appeared first on The GitHub Blog.
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When we introduced the Open Knowledge Format (OKF) in June 2026, we asserted that the context that agents need (table schemas, metric definitions, runbooks) should live in a format, not in a proprietary service, and not scattered across unstructured text blobs. Accordingly, OKF v0.1 started simple: just markdown, YAML frontmatter, and a handful of conventions. The strong response and contributions from the developer community informed our focus for the next version. Since launch, contributors op
In this No Dumb Questions, Stack's Director of Data Science Michael Foree teaches Phoebe about AI context, context engineering, and what she can do to become a better context engineer.
One of the most consequential decisions in any enterprise cloud migration is deceptively simple to state and surprisingly hard to answer: do we move the workload as-is, or do we modernize it first? Having worked through cloud migrations across dozens of enterprise customers spanning both AWS and Azure. I can tell you this question rarely has a universal answer. The right path depends on the workload, the business context, and the maturity of the team inheriting it in the cloud. What follows is t
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