I had a good first day in China after a long, but uneventful, flight. Tomorrow starts the work meetings and opportunity to learn about the local market. In the meantime, here’s an unusually-timed reading list!
[article] Are You a Micromanager or Too Hands-Off? This article offers up some red flags for managers, and how to course correct.
[article] Cognitive load drivers. I liked the categories listed here. Find fifteen drivers of cognitive load, and consider a list like this when finding (and fixing) friction in your organization.
[blog] Unlocking the Power of LLMs: Gemini Function Calling Simplified with Vertex AI SDK. If an SDK isn’t adding convenience functions, there’s not much point in using one! This Python SDK really does make it so much easier to send supporting “tools” to the Gemini model.
[blog] This one important fact about current AI explains almost everything. Gary says that current approaches to machine learning are bad at handling outliers, and this is being ignored by the loudest AI champions.
[blog] How I Use “AI”. An excellent reminder that LLMs are offering a lot of tangible value right now, in their current form.
[article] 7 Techniques for Database Performance & Scaling. If you’ve been around databases for a long time, you might not find anything new here. But it’s a good refresher of foundational practices for optimizing a database.
[article] Google’s AI comeback: New Gemini models dethrone OpenAI in shocking upset. Those early missteps were educational, and also part of the journey itself. I’m glad to see us continuing to ship good tech, and attract great people.
[blog] Bigtable transforms the developer experience with SQL support. We see an unbelievable number of API calls each month for Bigtable, and now that you can use SQL to query, I expect that number to go up again.
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