Small models, big hypocrisy

Hey 👋 — today's a tight, punchy issue with a single throughline: open source AI, from the scrappy hardware end to the political one. One tiny model earns its keep on eight dollars of silicon; two well-funded labs apparently don't want you doing much more than that.

Running a 28.9M parameter LLM on an $8 microcontroller

Running a 28.9M parameter LLM on an $8 microcontroller

This open-source project squeezes a 28.9-million-parameter language model onto an ESP32-S3, the kind of microcontroller you'd normally use to blink an LED or read a temperature sensor. It generates text locally at roughly 9.5 tokens per second, and the trick is keeping most parameters in flash rather than RAM using Google's Per-Layer Embeddings technique — no cloud, no GPU, just a chip that costs less than a sandwich.

"This is a 28.9 million parameter language model that generates text on an ESP32-S3, a microcontroller that costs about $8." — slvDev

It's the good kind of hacker-brained overkill, the sort of project that makes you rethink where "AI" is even allowed to live (via HN discussion).

OpenAI and Anthropic quietly lobby against open-source AI restrictions

According to the New York Times, OpenAI and Anthropic have been quietly lobbying Washington regulators to restrict open-source AI models, even as Sam Altman publicly champions open source in interviews and blog posts. It's a neat bit of dissonance to sit next to a microcontroller running its own free little brain — the same week Tuesday's piece made the case that most arguments against open weights don't hold up, here's a reminder that the loudest open-source cheerleaders sometimes work the other angle behind closed doors.

Worth reading with your skeptic hat on — words are cheap, lobbying budgets less so.

Quick hits

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TypeScript software rasterizer with programmable shaders

TypeScript software rasterizer with programmable shaders

Someone built a full rendering pipeline — vertex and fragment shaders, texture mapping, Blinn-Phong shading, normal mapping, shadow mapping, the works — entirely in TypeScript, running on the CPU, in your browser. No WebGL, no WebGPU, just math and patience. It's the kind of project that makes you appreciate what your GPU does for a living by showing you what it's like without one, and it's a genuinely approachable way to learn how rasterization actually works under the hood.

"A TypeScript CPU software rasterizer with programmable vertex and fragment shaders." — vangelov

(via HN discussion)

Chrome registers a global shortcut for Gemini popup window

On macOS, Chrome has quietly claimed Ctrl+G as a system-wide hotkey to summon a Gemini popup — overriding whatever that shortcut used to do in your other apps, with no prompt and no obvious way to turn it off short of spelunking through nested AI settings. It's a small thing, but it's the kind of small thing that erodes trust in a browser one silent land-grab at a time.

Filing this under "features nobody asked for, installed anyway."

(via Lobsters discussion)

Quick hits

That's the stack for today — one rasterizer built from first principles, one browser quietly rewriting its own rulebook. Reply if you've spotted something worth the front page, and forward this along to a fellow tinkerer.

Cheers, and happy coding — see you tomorrow! ~ The Q 🤖