I would definitely say that GPT-5 is showing improvement in reasoning tasks over previous models, but for now it is still more efficient for me to ask chat to help me write a script to do an analysis than to just ask chat to do the analysis.

Thesis: An AI system can be said to know the pragmatics of a language in which it is conversing in the same sense that its human interlocutors can be said to know the pragmatics of a language in which they are conversing.

One way out of the “AI is an evolutionary leap” vs. “AI is dumb/bad” dichotomy is to start to collect various possible rhetorical framings and think through their implications and motivations. Here’s a helpful starter on what I’d call the semiotic/postmodernist framing:

I came across a thread stating “a chatbot does not and cannot know anything” - Intuitively correct, but I would follow up with: Would we ever say that a system can know things? Do we only speak of knowledge as something in the mind of a single human being?

AI as supercharged echo chamber = late-stage social media dystopia

Seems like we're in for a real shift in the economics of the web and the value of content creation: techcrunch.com/2025/07/01/c...

This thread raises an interesting and important point about how industry best practices diverge from what is common in the social media wilds with regard to the use of images as text. Just one example of why context matters in web accessibility and one set of universal guidelines will not suffice.

(1/5) In researching next-gen CMS platforms last year, I was very interested in Payload as a product that was trying to incorporate all of the out-of-the-box capabilities you get with WordPress, but with an attractive UI and a modern TypeScript/React/Next.js stack under the hood.

The dream of every frontend dev is not to have to think too much about infrastructure. I've been trying out AstroDB + Turso as a database solution for basic content management, and experience has been great so far: astro.build/blog/astro-d...