Coté

I’m fascinated with Tyler Cowen. Here is Claude Sonnet 4.5’s deep research on his Tylerisms, I asked: Tyler Cowen has many maxims, principles, and aphorisms. One is “Context is that which is scarce” another is “all food is ethnic food” (from his ethnic food website). Sometimes his blog posts bring with “those new service sector jobs.” He often asks the same questions in podcasts (there are transcript of all his Conversations with Tyler episodes), often about someone’s “production function,” how they work.

180 million-plus developers now work and build on GitHub. Their definition is “[a]nyone with a GitHub account.” Let’s not overthink it, just yet, and instead go with what they’re saying. If 2025 had a theme, it would be growth. Every second, more than one new developer on average joined GitHub–over 36 million in the past year. It’s our fastest absolute growth rate yet and 180 million-plus developers now work and build on GitHub.

I am in my Gmail, and I open up the Gemini side bar and type: Flag emails I should just archive. The criteria is that if they are not directly to me, probably archive. Also if they are old, probably archive. Only save emails where there is some direct question to me or task I need to do. Gemini replies: I understand you’d like to flag emails for archiving based on your criteria.

Good piece on enterprise AI security. The good news, it’s all the same shit. The bad news news, it’s all the same shit. Yes, and: That’s it! The magic sauce is that LLMs are amazingly good at taking this big chunk of text and using their vast training data to produce the most appropriate next chunk of text - and the vendors use complicated system prompts and extra hacks to make sure it largely works as desired.

Forrester seems all but say “Salesforce is full of shit”: Salesforce claims that its (newly renamed) Agentforce 360 product has 6,000 paying customers. But in customer conversations and sessions, we saw little adoption or impact from AI agents – lots of potential but a long way to go for a meaningful ROI. More faint praise in the rest. 🔗 Salesforce Dreams Of The Agentic Enterprise

Everyone needs to stop thinking about enterprise AI as a way to fire people and think about how to use AI to make people more productive: Forrester’s analysis found that using AI for financially driven layoffs can backfire: 55 percent of employers regret laying off workers because of AI. More people in charge of AI investment expect it to increase headcount (57 percent) than to decrease it (15 percent) over the next year.

Emma Thompson does not need Clippy Jr.: “When I’ve written something and put it into a Word document, it’s constantly saying, ‘Would you like me to rewrite that for you?'” Thompson said. The UK national treasure added: “I don’t need you to [expletive deleted] rewrite what I’ve just written. Will you [expletive deleted] off. Just [expletive deleted] off!” This reminds me of a story David Pogue told on some podcast 10+ ago.

With some generalization, this is good advice for any pitch, from corporate presentations to call for papers. The point that you need to make it easy for other people to advocate for you is a good one, rarely mentioned. 🔗 Setting up other people to pitch your idea for you

Honestly, this checks out. Embabel is an enterprise play, and one where Java developers' skills are on point. Spring has proven itself for business logic, systems that are built to last, event-driven systems, transaction systems and so on. 🔗 Java relevance in the AI era – agent frameworks emerge.