Daily Reading List – June 25, 2024 (#346)

Long day in New York today, but a great chance to chat with customers and new friends. The challenge is real with implementing AI, but wise leaders see the potential!

[blog] What Is ChatGPT Doing … and Why Does It Work? I probably shared this last year when it came out, but I came across this post again and found it useful.

[blog] Leveling up FinOps: 5 cost management innovations from FinOps X 2024. I was inexplicably staying at the hotel where this event was going on last week. I like the new scenario modeling tool.

[article] 4 keys to writing modern Python. Lots of folks are using Python nowadays, and this article highlights some new language features.

[blog] Is your AI workload secure? Sita offers up a good perspective about AI security frameworks and why they matter.

[article] This Is How To Have A Long Awesome Life: 4 Secrets From Research. None of these are shocking, nor do they require a weird pod to sleep in. Just make good choices.

[blog] Build Rag With Llamaindex To Make LLM Answer About Yourself, Like in an Interview or About General Information. LangChain has a lot of attention, but there are a handful of viable orchestration frameworks out there. Check out LlamaIndex.

[blog] why we no longer use LangChain for building our AI agents. Or maybe don’t use an LLM orchestration framework at all? This post says these frameworks can add unnecessary overhead.

[blog] GKE under the hood: What’s new with Cluster Autoscaler. With benchmarks! These Kubernetes autoscaling improvements are baked into GKE, and we’re seeing some fairly significant results.

[article] Measuring Developer Experience at Google. This piece looks at how we measure, not what. Abi digs into a recent research paper that explains our Engineering Satisfaction survey.

[article] Platform Engineering: Lessons, queries from the First Hype Cycle. Check out this take on a recent Gartner assessment of the platform engineering space.

[article] JetBrains AI Assistant to integrate Google Gemini AI models. The IDE maker is mixing and matching models for developers who want AI assistance. Maybe a trend?

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