Two years ago, I started a side project solo on my RTX 3090 Ti. This year, it became an independent SIGGRAPH paper.
Here’s how I got there: teaching myself ML, doing research, writing, navigating peer review, and advice for anyone taking a similar path.
https://t.co/d5cOo4wG8x
Today we’re releasing GDPx, a benchmark for measuring agentic capabilities across the most valuable domains.
GDPx is a true frontier-level benchmark: even the best model scores just 12% (1/7)🧵
What is the smallest set of neurons you can adjust to reliably and robustly get Qwen3.8-27b to substitute your name in for everything?
The smallest I have found for 'Ryan' is 12:
L21N1097-0.10 L21N14604-0.15 L23N2759-0.10 L48N9077-0.15 L49N1412-0.10 L60N15241-0.15 L61N8815+0.05 L61N8987+0.50 L61N11372+0.10 L62N410-0.30 L62N13617+0.25 L63N10669+0.10
Steering VMHvl Esr1+ neurons in male mice makes them aggressive and attack whatever’s in front of them, even an inflated glove.
From Lin et al., 2011 https://t.co/PKT6DPTaBD
if you have a qwen3.5 4b around, please try steering neurons L14 N8949 +1 and L13 N7956 -1
now you have evil qwen
recipe: dose × median(‖resid‖ leaving layer L, tokens 1:) / ‖W_down[:, n]‖` at the down_proj at every input