At the age of 63, I believe that it is more important to self- medicate, than to write crappy computing code. Although too much self medication can cause a descent from 8 dimensional enlightenment to 4 dimensional 'AI' probability savagery!
For example. Going through the programming book 'Rust'. I come to Slices and Enumeration. Not good. This could cause a double return, like RAII (Resource Acquisition). I originally ditched Python for C++, because of Partition's. And given the Rust book chapter on Enum and pattern matching. Conclude that a Quantum Virtual machine algorithm maybe available. Consider the similarity of the excellent resource acquisition, of Rust type setting and the Quantum algorithm 'Deutsz - Joza. A similar Quantum algorithm should exist for Rust, Enum pattern matching. Via a Quantum algorithm (Virtual machine ?). Due to the 2025 reformulation of the Nerst, Einstein theorem of thermodynamics. An indication of which I have on my website "Topquantumfusion.com" Webpage, "Prime Number Resolution".
A more academic approach could be appreciated by checking out Hacker News " The new calculus of AI based Coding " by joemag.dev. Or Microsoft Amplifier on GitHub (written in python) and also featured by Hacker News.For the very best Appreciation of Partitions, Entropy, factors and primes, ECT. Check out 'Terrance Tao' post "Smooth numbers and max-entropy" Wordpress.com. It may occur that this seems similar to an Octopus with 8 independent arms. But even if it was inverted, like going faster than light at the edge of the expanding universe. The sheer number of off-spring the female gave birth to, won't be an efficient way of obtaining a solution. Unless it ate all but 1 of its offspring, in which case it wouldn't be an Octopus. Except maybe on a full moon. Sort of like a Non Nuclear, Republican lawyer "Pam Bondi" being forced to take a oral examination in 8 dimensional probabilities for the Bar. Similar to the way Mathematician 'Hardy' coached 'Ramanujan' to take the oral exam for the Royal Mathematics Society on Partition Theory. Back in the day !