Arrived in Paris yesterday and took myself to the Louvre museum to look around. Amazing. Today was filled with presentations and meetings, and prep for a talk tomorrow in one of the most interesting venues I’ve ever spoken in.
[blog] The State of LLM Reasoning Models. Deep thoughts in this piece on thinking models. Maybe more than you (or I) want to know, but it’s good background info to scan.
[blog] Model Context Protocol explained as simply as possible. Now I get it. Sean does a good job explaining what MCP is, and why folks are thinking it’s a big deal.
[blog] Model Context Protocol (MCP). Matt tackles MCP too. Longer piece, but also explains why abstracting tools (in addition to prompts and resources) is important for portability and agents use.
[blog] Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials. We talk about our “AI hypercomputer” but is it really a thing, or just an architectural concept? This post shows how you tangibly use it for AI workloads.
[blog] Implementing DevOps practices in front-end development. CI/CD, not DevOps per se, but whatever. Still a good reminder that every aspect of the stack should be testable.
[blog] Node just added TypeScript support. What does that mean for Deno? TypeScript support was a big part of the Deno differentiation from Node. Did that go away? Doesn’t seem like it.
[article] Vulnerability-Free Java Containers: A Practical Guide. Even if you have automation to constantly rebuild your container images to pull in the latest patches (good job!), you still depend on base images being maintained well! This post points out which have trouble keeping up.
[blog] Introducing built-in performance monitoring for Vertex AI Model Garden. Good feature. If you’re using one of our managed models (Gemini or others), we show you some at a glance info for usage and error rates.
[article] Generative AI adoption stymied by technology, talent woes. Survey after survey seems to show this mismatch between org goals and ability to execute on them.
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