From Igspa, a generalized biochemical framework I've been putting together.

Hell yeah, I’ll be around building on this in some capacity. Feel free to get in touch in the meantime

100% a valid criticism and something I often run into with this kind of work, especially on reddit where the potential audience can vary drastically in sentiment depending on where you are.
Definitely worth thinking about!

Thank you, that’s the goal!

You’re right, some stuff isn’t worth teaching in 6th grade though simply because its meaning doesn’t fully translate, if ya know what i mean.

Ultimately this is a byproduct of a tool I made for a larger project, so if someone thinks it looks kinda cool then i’m happy lol.

well yeah, of course!

It’s a hybrid model that uses a probability distribution of interactions between non-spatial entities to stochastically generate graphical structures, which further refines and acts alongside the probability distribution to stabilize a reliable distance metric.

GH repo is in the comments for more details.

Simulation from a project involving information-theoretical dynamics, a detailed explanation + the codebase of which can be found on GitHub.

So in neurobiology there’s the concept of synaptic pruning, which happens at various developmental stages to streamline important representations in the brain.

I’ve also read about a notion in AI where a trained network is analyzed to extract specific subnetworks that are optimized for singular tasks.

The problem as it currently stands is that you must train the entire large model in order to realize optimal substructures, as they are only uncovered through the differentiation between many possible substructures (i.e. samples in training)

conservative multi neighborhood?

I made a continuous verson that treats interactions like fluctuations across different fields. you can give wave propagation in some configurations

Link

Link

Here's a video that touches on it a bit, not the main point of the lecture though

this rocks, you rock

This is a great set of questions, personally i work a lot on personal projects relating to computational biology and artificial life, which are both subjects that require a lot of A-Z thinking before you get to B.

I use AI as a captive audience while i lay out my rough ideas at a high level and methodically chisel and rework it until i have a granular design template that’s more suited for programming.

I never, EVER let it touch my code for anything remotely important or complex, and I’m also strict about leading the dialog at all times. If you’re not careful about your work, it will grab it and run as long as you let it, which is why you see nonsensical posts where the op treats it like divine knowledge.

The biggest mistake you can make is thinking the machine is smarter than you and handing over the keys to your cerebral cortex, ESPECIALLY if it’s a project you care about because it’ll eventually alienate you from your own work.