Skipped yesterday’s post because I had virtually zero time to read thanks to Google Cloud Next activities. Watch the keynote replay (https://www.youtube.com/watch?v=A01DQ8_xy7Q) and tell me what you think!

[blog] Day 2 at Google Cloud Next: A marathon developer keynote (https://cloud.google.com/blog/topics/google-cloud-next/next26-day-2-recap/). This is a super recap of our unique developer keynote yesterday where we stayed with one theme for all the technical demos.

[repo] Race Condition (https://github.com/GoogleCloudPlatform/race-condition). That gorgeous marathon planning system we showed off on stage yesterday? Yup, we open sourced all of it. Have fun!

[article] Cognitive debt: The hidden risk in AI-driven software development (https://newsletter.getdx.com/p/cognitive-debt-the-hidden-risk-in). What is cognitive debt, where does it impact you, and how can you mitigate it? This article goes fairly deep.

[blog] DeepSeek-V4: a million-token context that agents can actually use (https://huggingface.co/blog/deepseekv4). Another impressive model family from the DeepSeek team. More here (https://techcrunch.com/2026/04/24/deepseek-previews-new-ai-model-that-closes-the-gap-with-frontier-models/).

[blog] Introducing Gemini Enterprise Agent Platform, powering the next wave of agents (https://cloud.google.com/blog/products/ai-machine-learning/introducing-gemini-enterprise-agent-platform/). Major advances in multiple directions here. Check out this post for a flyover view.

[article] Google’s Gemma 4 shines on local systems – both big and small (https://www.infoworld.com/article/4156597/googles-gemma-4-shines-on-local-systems-both-big-and-small.html). Here’s an assessment of our latest open models and if they perform as advertised.

[article] The modern data stack was built for humans asking questions. Google just rebuilt its for agents taking action (https://venturebeat.com/data/the-modern-data-stack-was-built-for-humans-asking-questions-google-just-rebuilt-its-for-agents-taking-action). Openness is a differentiator for us, along with our view of semantic context.

[blog] The future of data lakehouse: Open and interoperable for the agentic era (https://cloud.google.com/blog/products/data-analytics/the-future-of-data-lakehouse-for-the-agentic-era/). On the topic of openness, here’s more on where we’re taking the lakehouse.

[blog] Introducing the Google Cloud Knowledge Catalog (https://cloud.google.com/blog/products/data-analytics/introducing-the-google-cloud-knowledge-catalog/). Does a “universal context engine” sound interesting to you? It does to me.

[article] The Pulse: ‘Tokenmaxxing’ as a weird new trend (https://blog.pragmaticengineer.com/the-pulse-tokenmaxxing-as-a-weird-new-trend). You want to gamify token usage, go ahead. It’s great for Google’s revenue. But I wouldn’t suggest it. Focus on desired outcomes, not weak proxy metrics.

[blog] Next-gen FinOps for the AI era (https://cloud.google.com/blog/topics/cost-management/introducing-spend-caps-ai-cost-visibility-next26/). Speaking of cost controls, I’m happy that Spend Caps are coming to services in Google Cloud.

[article] Google splits its TPU line in two for the agentic era (https://thenewstack.io/google-splits-tpu-line/). We don’t always share the same opinions as other vendors, and here’s a case of divergence from AWS.

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