As I was reading through this, I realized that there's also something kind of similar but in the 'opposite direction' - thermodynamic computing.
E.g.
- radiation tolerant ML: do ML 'work' steps despite noise
- thermodynamic computing: drive ML work 'steps' 'through' noise
Makes you wonder if there could even be a meta level where you can isolate the noise due to radiation, and pass that as an input to the protection parameters, so you could adjust the robustness in an adaptive manner, or something. Or a diffusion model, where radiation noise is the input noise source!
Why are we downvoting this person for being honest? We’re all familiar with vibe coding, and projects that are vibe coded can still be useful. I appreciate that they’re up front about it.
As I was reading through this, I realized that there's also something kind of similar but in the 'opposite direction' - thermodynamic computing.
E.g.
- radiation tolerant ML: do ML 'work' steps despite noise
- thermodynamic computing: drive ML work 'steps' 'through' noise
Makes you wonder if there could even be a meta level where you can isolate the noise due to radiation, and pass that as an input to the protection parameters, so you could adjust the robustness in an adaptive manner, or something. Or a diffusion model, where radiation noise is the input noise source!
[0] https://www.normalcomputing.com/post/scaling-thermodynamic-c...
Good looks. Thats a great idea, ill see what I can do.
Looks like it was mostly LLM generated
yeah, I used an LLM to help make it.
Why are we downvoting this person for being honest? We’re all familiar with vibe coding, and projects that are vibe coded can still be useful. I appreciate that they’re up front about it.
its cool idc. The llm is so nice to have when you know what ur talking about.