Whew. Busy day, with lots going on. There’s always time to learn, however, and I learned a few things from today’s reading list.
[blog] Maturing Istio Ambient: Compatibility Across Various Kubernetes Providers and CNIs. Deep dive into the work needed to build a sidecar-less proxy Istio that works across distinct environments.
[blog] Making AI more Open and Accessible to Cloud Developers with Gemma on Vertex AI. Laurent offers useful details and examples of this new open model.
[blog] How the New York Times Games Data Team Revamped Its Reporting. Sometimes, a event triggers a long overdue change. Buying Wordle caused the NY Times team to get flooded with new data, and old reporting mechanisms weren’t sufficient.
[blog] gemini-cli: Access Gemini models from the command-line. Cool experiment that I may actually take advantage of. Eli wanted to feed info about old blog posts to create a “related posts” feature for his blog. So he built a tool that any of us could try.
[blog] Introducing Managed Instance Groups standby pool: Stop and suspend idle VMs. If you had a managed fleet of VMs in Google Cloud, you couldn’t stop or suspend them. Now, you can.
[article] Nitpicking at code reviews is bad for everyone. Put machinery in place to do syntax and formatting checks. Use code reviews for more meaningful validation.
[blog] Guide to Function Calling with Gemini and Google Apps Script. There’s no one “right” pattern for feeding data into generative AI-powered apps. Maybe you fine-tune a model. Or use a RAG-style architecture to feed extra context. And function-calling is another exciting option.
[paper] Considerations for Evaluating Large Language Models for Cybersecurity Tasks. New, short paper that lists out some considerations for security scenarios with LLMs.
[blog] Expanding our Partnership with Google. From the Reddit crew. Our post is here. Some media writeups exist too. In an LLM world, I can imagine that useful data sources will rightly monetize access.
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