jd115

Funny, I've totally missed this.

I'm old enough to remember some number of months ago when GPT2 was described as "too dangerous to release".

Reminds me a bit of Genetic Programming as proposed by John Holland, John Koza, etc. Ever since GPT came out, I've been thinking of ways to combine that original idea with LLMs in some way that would accelerate the process with a more "intelligent" selection.

The paper explores the connection between two mathematical models used to study biological systems: Boolean networks and Petri nets.

Boolean networks model gene regulation and other biological processes using logical functions. The long-term behavior of these models, represented by "attractors", corresponds to observable biological states. Recently, a concept called "trap spaces" has made analyzing larger Boolean network models feasible. However, computing trap spaces relies on finding prime implicants of the logical functions, which gets harder as models get bigger and more complex.

(A prime implicant is a minimal set of conditions that ensures a Boolean function will be true. )

Petri nets are another type of model using places, transitions between places, and tokens to represent the state of a system. A key concept in Petri nets is a "siphon" - a set of places that once empty of tokens, remains empty.

The authors prove for the first time that there is an equivalence between trap spaces in a Boolean network and "conflict-free siphons" in the corresponding Petri net representation.

This connection allows properties of trap spaces to be studied using Petri net theory. It also enables a new approach to compute trap spaces by finding siphons in the Petri net, avoiding the hard prime implicant computation.

In practical terms, this pushes the boundaries of the size and complexity of biological systems that can be effectively modeled and studied using this approach.

They work how we want them to work. And nothing could be more on-topic than this right now. What the fuck is the point of remembering and saying "never again" if not to stop what is happening right now in front of our eyes?

Second, there can be no flame wars about this. Everyone agrees on the above.

The low-level thing that isn't understood is that intelligence is not progressive. You can not build up to it. Sure, you can forever continue to build better and better approximations of certain aspects of intelligence and pretend you're making progress, but you are not. Of course, there is great utilitarian value in those approximations, so we MUST continue to do this.

Still, my position is that NO progress has ever been made in the area of AI, and no progress will be made any time soon.

I'll take it a step further (in case I don't get enough downvotes for what I've written so far). I maintain that you CAN NOT build intelligence. You can only TAP INTO it. So the very direction in which all of our AI efforts are headed is a dead-end.

Um.. wiped out by Russia and what army?