This week’s off to a hot start at work, and in the industry as a whole. It’s also earnings season across tech, so we can see who is making what type of real progress with AI.

[blog] Beyond Just Looking: Gemini 3 Now Has Agentic Vision (https://medium.com/google-cloud/beyond-just-looking-gemini-3-now-has-agentic-vision-b20c7c6809ce). This is a bigger deal than we realize. Instead of “best guess” image processing, our model now does an agentic loop to truly understand an image.

[article] The Five Skills I Actually Use Every Day as an AI PM (and How You Can Too) (https://www.oreilly.com/radar/the-five-skills-i-actually-use-every-day-as-an-ai-pm-and-how-you-can-too/). Here’s a great challenge to PMs. If you’re not doing these types of activities, you’re going to quickly see people encroaching on your domain.

[blog] High-performance inference meets serverless compute with NVIDIA RTX PRO 6000 on Cloud Run (https://cloud.google.com/blog/products/serverless/cloud-run-supports-nvidia-rtx-6000-pro-gpus-for-ai-workloads/). Truly impressive. Which other serverless stack is offering up to 44 vCPUs and 170+ GiB of RAM per instance and letting you run 70B parameter models on demand?

[blog] Summarizing Too Big for Context with MapReduce and LLMs (https://medium.com/google-cloud/summarizing-too-big-for-context-with-mapreduce-and-llms-6d2acc7a2ed0). Smart approach from Wei here. If you’ve got a ton of input data, you can do a Map-Reduce-style exercise to distill the information.

[article] AWS’s inevitable destiny: becoming the next Lumen (https://www.theregister.com/2026/01/26/aws_destiny_lumen_corey_quinn). It’s lucrative to be the backbone, but mindshare disappears.

[blog] The Rise of Coding Agent Orchestrators (https://www.aviator.co/blog/the-rise-of-coding-agent-orchestrators/). Agent harnesses and orchestrators are going to have a big year. As will the management layers around them.

[blog] A Javelit Frontend for the Deep Research Agent (https://glaforge.dev/posts/2026/01/30/a-javelit-frontend-for-the-deep-research-agent/). Ok, now I know what Javalit is, and why it’s great for building data apps without messing with the frontend.

[blog] Kubernetes Rolling Updates for Reliable Deployments (https://spacelift.io/blog/kubernetes-rolling-update). Solid post about how good Kubernetes has gotten at supporting rolling updates for your workloads.

[blog] LiteRT: The Universal Framework for On-Device AI (https://developers.googleblog.com/litert-the-universal-framework-for-on-device-ai/). I don’t understand this space very well, but I read this to learn more. Getting cross-platform acceleration for AI workloads from a single framework is a good deal.

[article] Elon Musk’s SpaceX has acquired his AI company, xAI (https://www.engadget.com/ai/elon-musks-spacex-has-acquired-his-ai-company-xai-221617040.html). The man goes big and plays to win, that’s for sure. The renewed investments in space are pretty exciting.

[article] Waymo raises $16B to scale robotaxi fleet internationally (https://techcrunch.com/2026/02/02/waymo-raises-16-billion-round-to-scale-robotaxi-fleet-london-tokyo/). Let’s go! Great to see this fantastic engineering get deployed more widely.

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