Large language models (LLMs) are all the rage in the generative AI world these days, with the truly large ones like GPT, LLaMA, and others using tens or even hundreds of billions of parameters to churn out their text-based responses. These typically require glacier-melting amounts of computing hardware, but the “large” in “large language models” doesn’t really need to be that big for there to be a functional, useful model. LLMs designed for limited hardware or consumer-grade PCs are available now as well, but [Binh] wanted something even smaller and more portable, so he put an LLM on a USB stick.

This USB stick isn’t just a jump drive with a bit of memory on it, though. Inside the custom 3D printed case is a Raspberry Pi Zero W running llama.cpp, a lightweight, high-performance version of LLaMA. Getting it on this Pi wasn’t straightforward at all, though, as the latest version of llama.cpp is meant for ARMv8 and this particular Pi was running the ARMv6 instruction set. That meant that [Binh] needed to change the source code to remove the optimizations for the more modern ARM machines, but with a week’s worth of effort spent on it he finally got the model on the older Raspberry Pi.

Getting the model to run was just one part of this project. The rest of the build was ensuring that the LLM could run on any computer without drivers and be relatively simple to use. By setting up the USB device as a composite device which presents a filesystem to the host computer, all a user has to do to interact with the LLM is to create an empty text file with a filename, and the LLM will automatically fill the file with generated text. While it’s not blindingly fast, [Binh] believes this is the first plug-and-play USB-based LLM, and we’d have to agree. It’s not the least powerful computer to ever run an LLM, though. That honor goes to this project which is able to cram one on an ESP32.

Right up front, we’ll say that [likeablob]’s pizza-faced clock gives us mixed feelings about our AI-powered future. On the one hand, if that’s Stable Diffusion’s idea of what a pizza looks like, then it should be pretty easy to slip the virtual chains these algorithms no doubt have in store for us. Then again, if they do manage to snare us and this ends up on the menu, we’ll pray for a mercifully quick end to the suffering.

The idea is pretty simple; the clock’s face is an empty pizza pan that fills with pretend pizza as the day builds to noon, whereupon pizza is removed until midnight when the whole thing starts again. The pizza images are generated by a two-stage algorithm using Stable Diffusion 1.5, and tend to favor suspiciously uncooked whole basil sprigs along with weird pepperoni slices and Dali-esque globs of cheese. Everything runs on a Raspberry Pi Zero W, with the results displayed on a 4″ diameter LCD with an HDMI adapter. Alternatively, you can just hit the web app and have a pizza clock on your desktop. If pizza isn’t your thing, fear not — other food and non-food images are possible, limited only by Stable Diffusion’s apparently quite limited imagination.

As clocks go, this one is pretty unique. But we’re used to seeing unusual clocks around here, from another food-centric timepiece to a clock that knits.