Daily Reading List – September 30, 2026 (#878)

Last night, I went to the San Diego Padres playoff game against the Chicago Cubs. It was the rowdiest, loudest, most fun baseball game I’ve attended in my life. The downside? I’m very hoarse and had two major speaking gigs today. So yeah, I plan well.

[blog] Gemini 4 Argon: our next era of frontier intelligence. Are you not entertained? We shared information about this model. Numbers look … great.

[article] The best AI leaders are ‘a little bit off the wall,’ says Google Cloud executive. I did say that. Here’s a summary of some of the points I made in Boston a couple weeks back.

[blog] Build an agentic software factory, starting with one bug. As you build up a set of AI agents to help you with software, do it incrementally. Useful lesson here.

[blog] Graph Workflows in ADK: Everything You Need to Know. I liked this explanation of working our way up to more sophisticated agent architectures.

[blog] State of agent skills. Vercel sits on a lot of data here thanks to running skills.sh. Read this for a look at what skills people are installing, for which industries, and how often.

[blog] State of Markets II. We’re getting a bunch of “state of XX” things lately. The a16z folks call out a bunch of data about companies using AI, and more.

[blog] Vulnerability Discovery and Exploitation Trends in the AI Era. Sobering data about the rise in vulnerabilities, and corresponding increase in exploitation. At least there are suggestions for what to do next!

[blog] Voice Agents Can Just Do Things. I buy this more than I did a year ago. But I also don’t want this to be the ONLY interface. Sometimes it’s better to type things out, or I’m in a space where I don’t want to be barking commands to a robot.

[blog] Data Agent Kit is now GA: Bring Google Data Cloud to any coding agent. Do some fairly sophisticated analytics and data science work in whatever AI coding tool you prefer.

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