Comment on World's first 'thermodynamic computing chip' reaches tape out
artifex@piefed.social 1 day agoLol, but there are lots of applications for nondeterministic computing that are not LLMs. Some of the famous-y ones would be like Monte Carlo Tree Search (MCTS), which is used in reinforcement learning (e.g., AlphaGo) to explore game trees probabilistically, Markov Chain Monte Carlo (MCMC), where you use randomness to sample from complex distributions (e.g., Bayesian inference), and zero-knowledge proofs, where you use randomness to verify information without revealing it. You could probably get an LLM to make a longer list :)
The EU already wants to implement the zero-knowledge proofs for age verification
Its likely also one of the best solutions if i understood it correctly because the EU would only know that one recieved a bunch of certificates(?) (single use) but not where it got used and the website would not get any personal data
Zero-knowledge proofs are awsome, look them up
( ͡° ͜ʖ ͡°)=ε/̵͇̿̿/’̿’̿ ̿ ̿̿ ̿̿ ̿̿ (this is a threat but the weapon is not loaded)
homesweethomeMrL@lemmy.world 1 day ago
It does sound cool, though I’ve never heard of some of those things.
panda_abyss@lemmy.ca 1 day ago
Monte Carlo methods are where you use randomness to simulate complex problems that are hard to model exactly.
As a simple case let’s say you didn’t konw the value of π, but you were able to generate random numbers really quickly. If you make a square of side d, draw a circle inside, and then randomly place points in the square, then you can calculate
π = 4 * #(In circle) / #(total).A more complex use would be apply the same idea to things like modelling wild fires. If you could generate tons of plausible scenarios then you can determine the most likely routes a forest fire will take.
These methods are used a lot in epidemiology, nuclear physics, astrolonomy, etc.