The through-line
Infrastructure providers are racing to eliminate friction points in LLM deployment—latency, cold starts, storage constraints—while the agentic layer standardizes across tools. These aren't feature creep; they're foundational moves to make production AI systems viable at scale.
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The Wire
- Introducing automatic remediation policies with Cloudflare CASB
- Vercel Sandbox now provides 64 GB of storage
- Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks
- Gradland: On Phenomenal Experience, Differentiated Across Many Dimensions
- ToolGrad: Efficient tool-use dataset generation with textual "gradients"
- Reduce LLM latency with prefix-aware routing on Amazon SageMaker Inference
- Reduce inference cold starts on Amazon SageMaker HyperPod with model caching
- GitHub Copilot app for Beginners: Using the diff, terminal, and browser
- GitHub Copilot is now available in the AI SDK harness layer
- Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video