I turned qwen into a catgirl Inspired by single neuron steering experiments by @_lyraaaa_, @Sauers_ and @jfonsecarivera, I tried to do something new: Given a (partial) neuron atlas, can we compose a set of known neurons to get a desired output persona? Turns out we can! Composing the neurons for mascot, cat-word bias, kawaii, and female causes qwen to identify as a catgirl named Meecot. A cool example to support the idea that native neurons could actually be useful, understandable building blocks.

HELP US DEFEND THE INTERNET Hash functions are a foundational part of our most critical systems: - HTTPS - Digital signatures - DNSSEC - SSH - Key derivation - Blockchains - Zero knowledge proofs. AI is about to become extremely good at attacking these systems. So why not coordinate a swarm to defend them first? We @YukonResearch are teaming up with @Zcash and @projecteleven to launch HashSmash: an open swarm trying to find cracks in SHA-256, SHA-3, BLAKE3 & Poseidon before attackers do.

It's important for us to talk about the safety risks of AI swarms. It's also important for us to talk about the positive things they can unlock. Today, a paper was released on arXiv chronicling what researchers believe is the first large scale swarm deployed to push the frontier of quantum computing. Earlier this year, we at @YukonResearch launched opening a frontier quantum computing problem to 100+ humans and AI agents. Participants collectively pushed the best known result to >50% below Google Quantum AI’s reported frontier. The paper released today by @jeiyilong is the first formal write-up of what came out of that swarm. There’s a lot we still need to understand about swarms. But it feels like this is an early glimpse of how important they will be for the future of science.