Daily Reading List – March 17, 2026 (#743)

I need the right mix of meetings in my workday for it to be a good day. Some quality 1:1 chats, a few decision-focused meetings are fine, and then seeing something that’s exciting for our users. Today was a good day.

[blog] Bringing the power of Personal Intelligence to more people. You’ll now see this in Search, the Gemini app, and Gemini in Chrome.

[blog] Subagents. Simon’s been adding to this series of posts about agentic engineering patterns, and this one on subagents is helpful.

[blog] Giving you more transparency and control over your Gemini API costs. This is a harder problem than you might think. Glad to see this team giving developers spending caps and other tools to control cost.

[article] Google Workspace’s New AI Features Seem Genuinely Useful. Nice to hear. We’re all shown a lot of AI tools and probably only use a few.

[report] The State of AI in the Enterprise. I’m surprised that this Deloitte report is ungated. Check it out for some useful information about enterprise approaches to AI.

[blog] Measuring progress toward AGI: A cognitive framework. This links to a paper where we look at 10 cognitive abilities and how you’d evaluate progress towards Artificial General Intelligence.

[article] Banks struggle to scale AI as legacy tech devours IT budgets. Until you get some of the prereqs under control, it’s going to be hard to throw important dollars at AI work. But results need to be there too!

[blog] Introducing multi-cluster GKE Inference Gateway: Scale AI workloads around the world. Run inference workloads across clusters, and even across regions.

[blog] State of Open Source on Hugging Face: Spring 2026. A metric ton of data here from Hugging Face. Which open models are used where, who is contributing the most, and much more.

[blog] Developer Guide: Nano Banana 2 with the Gemini Interactions API. It’s an underrated API and Philipp is inspiring me to make this a bigger part of my toolbox.

[blog] Agent Protocols — MCP, A2A, A2UI, AG-UI. Get familiar with these, or at least the use cases they purport to help.

[blog] Announcing the Colab MCP Server: Connect Any AI Agent to Google Colab. Wicked. Offload to the Colab host and use notebooks as tools thanks to this new open MCP server.

[docs] Durable AI agent with Gemini and Temporal. Want to persist the steps of an agentic loop so that you can resume in any situation? That’s what Temporal does.

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