David Humphrey

@humphd.bsky.social

Walking in the woods. Coding in the browser.

I love seeing LLM slip-ups like this, today from Gemini: "This gives a scent of what else is there..." Imagine how grammatical, typographic, and other language errors are happily baked into the weights.

The magnitude of the FAFO moment coming for the "we don't read any of the AI code we ship to prod!" crowd is going to be a sight to behold. Unfortunately, we are all going to be watching it as affected users of these systems

Seeing a lot of what I'm calling "AI Ennui" with my students. Different from the usual end-of-term burnout and apathy, it's become increasingly hard to get students to be students (read, write, engage with learning). Blaming AI is too easy, but it's fundamentally different from anything I've seen.

I never cease to be underwhelmed with the average case for AI image generation. Everyone showing images of Nano Banana generating whiteboard images of papers. I try and it fails to do anything 3 times, then creates one about random AI stuff vs. the biology in the paper itself. Cool but useless?

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Interesting Claude Sonnet 4.5 hiccup, where it complains about bits of its own system prompt when reviewing a document I share "Token budget directive at top: The <budget:token_budget>1000000</budget:token_budget> appears to be a system prompt artifact that shouldn't be in student-facing materials"

I have always loved the old Canadian bills, and especially the birds they portrayed. I thought I'd seen them all, but apparently I missed the 1,000 bill with its pair of Pine Grosbeaks on the back.

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Tonight I integrated an LLM into every part of the request/response life-cycle of the the browser to see what I could do. aifoc.us/interception/ It was a lot of fun, in the demo linked I can rewrite a web page as before it's rendered by the browser to give me just a summary of the contents.

interception

This is a very quick post. I had an idea as I was walking the dog this evening, and I wanted to build a functioning demo and write about it within a couple of hours. While the post and idea started th...

aifoc.us

Our Rowboat tool is about instantly seeing what's in a dataset, so we added a Chrome Extension that lets you open random datasets from all over the internet. Right click, poof! 0.2 seconds later we see what this dataset actually looks like. No workspace to set up, no waiting for the app, no db.