Daily Reading List – June 9, 2025 (#564)

I’m back! Sort of. Vacation is over, and now I’m in Sweden for customer meetings and local events. I’ve got a pile of links to read through, but we’ll chip away at it together.

[article] It’s not your imagination: AI is speeding up the pace of change. These Mary Meeker reports are always interesting to read. I haven’t gotten through all of it yet, but it reaffirms things I thought I knew. Direct link here.

[blog] Cloud Repatriation is Getting Complicated. Corey looks at why people buy cloud, who is talking about repatriation, and when workloads actually move around.

[blog] AI Agents in a Nutshell. Megan is such a good communicator, and does a terrific job here explaining what agents are all about, and even some challenges.

[paper] The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity. While on vacation, I noticed a lot of folks talking about this one. Apple’s got a paper that claims LLMs struggle to actually “reason” through a certain type of hard problem.

[article] Developer Joy: A Better Way to Boost Developer Productivity. While you might not stick “joy metrics” on your exec reports, building platforms that reduce friction and toil, while increasing flow matter.

[blog] Announcing new capabilities for boosted productivity in Colab Enterprise. You may not know Colab, but it’s one of the most heavily used cloud services out there. Here’s what’s new for enterprise notebook users.

[blog] Valkey Turns One: How the Community Fork Left Redis in the Dust. “In the dust” might be generous, but Valkey is definitely not just a Redis fork. It’s a powerful and performant database on its own.

[blog] Dude, Where’s My Strategy? Platform teams need a strategy too. Camille has a great, short piece about what it starts to look like.

[blog] Google is a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms report. Lots of players in this one, including an unusual number of “leaders.” Glad we’re recognized so highly.

[article] Nearly half of CEOs say employees are resistant or even hostile to AI. Not surprising and this will remain common as long as companies over-hype expectations and under-invest in training and change management.

[blog] Announcing new MCP integrations to Google Cloud Databases to enable AI-assisted development. Now it’s easier to use natural language interactions with your database, directly from your AI-based IDE. I like this.

[blog] Optimizing LLM-based trip planning. How do you factor in real-world constraints when planning with LLMs? This is some practical work from the Google Research team.

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