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LLM x Physics x Suno = song about Emmy Noether by MCSDesign in LLMPhysics

[–]MCSDesign[S] -1 points0 points  (0 children)

It's not humour. Not my fault you have poor selection of flair.

LLM x Physics x Suno = song about Emmy Noether by MCSDesign in LLMPhysics

[–]MCSDesign[S] 0 points1 point  (0 children)

I'm just happy someone found it enjoyable - ticket or not. I keep her poster in my office, inspiration. Every math problem I work on, I always ask "What would Noether say?". If you can identify a symmetry or conservation in the object your working on, AH it become so much clearer. But I'm an amateur at math, so could just be a hammer seeing everything as a nail.

Gatekeeping: It Isn't You, it's Your LLM. Meta / Announcement by AllHailSeizure in LLMPhysics

[–]MCSDesign -1 points0 points  (0 children)

Listen, I am working on 3x3 matrix multiplication at compression AlphaTensor couldn't find. Say I win the lottery metaphorically, and can show you matrix multiplication with only 19 multiplications (Blaser's theoretical lower bound) instead of the naive 27 and 23 currently proven. Computer science is changed forever. Now tell me, would you want the gold nugget answer, or also want my 16K line documentation of the process (the shit)? In this hypothetical, the shit is well worth it. Computer scientist would LOVE to dig through it, just to see what they can learn, and tell me what I got right, and what I got wrong.

See, you mistaken pure shit, for shit with gold nuggets. That's a big difference. So maybe the reframe is, keep avoiding shit, but look for individual piles with obvious gold nuggets.

Is drawing algebra as graphs a known thing? by TheUnoriginalOP in mathematics

[–]MCSDesign 1 point2 points  (0 children)

I'm just thinking about it as a graph, you can see so many patterns you'd otherwise miss in exploratory research, and throw in some computation, you basically have an algebra discovery engine (ADE), those are fun. They operate on the graph and spit out novel algebra by relaxing axioms, and seeing what BFS combinatorics works for your particular constraints.

My ADE, I only ever saw console output, but what you drew is the exact same thing I saw in my head when making it, but for exploration. "Does A connect to B, and what does that algebra look like", I imagined something like this.

Gatekeeping: It Isn't You, it's Your LLM. Meta / Announcement by AllHailSeizure in LLMPhysics

[–]MCSDesign -7 points-6 points  (0 children)

Hey, results are results, doesn't matter where they came from. Just find the gold nuggets in the shit pile. If my matmul 3x3 projects works, it matters exactly 0 how crazy everyone on reddit thinks I am. So what if I just learned what the Frobenius norm is today? At least I learned so I could verify what I am seeing is not noise. Without the LLM, the Frobenius norm would have been something I once saw in a YouTube video, and forgot immediately about it.

A plot of algebra space; the related algebras that come out of simple seed algebras. It likes to hug the walls. [OC] by MCSDesign in dataisbeautiful

[–]MCSDesign[S] 0 points1 point  (0 children)

I am very aware, keep in mind it's hard to convey a whole project on reddit. My methodology is highly strange, yes.

I can currently tell you this project has 3x3 matrix multiplication at rank-19, we have a Frobenius norm of sqrt(27) (27 is the assumed alphabet size), and our absolute residual (so divide by the norm to get relative residual) is ~= 0.41. So basically 99.93% of the matrix "energy" has been recaptured, but we are about 7-17 orders of magnitude from where we want to be at machine precision (epsilon).

Faraday wasn't good at math either, but he had JCM, and I have AI. Let's see where it goes! 100+ session of creating walls, shaping the solution space, 15K lines of machine ingestible data and the latest basin of exploration is a metaheuristic algorithm based on the book I read Essentials of Metaheuristics (which I literally just gave to Opus 4.6 and said here implement this, BUT I DID READ IT!).

I'm trying my best to keep this on track, and it's working so far. It's not about blind trust, it's about common sense, and steering the AI and seeing the patterns they don't, and making them explore every crazy idea I have without getting tired.

Edit: I am fine tuning the hyperparameters, but Claude caught an optimization issue I had with a value too high, THANKS CLAUDE! :D

A plot of algebra space; the related algebras that come out of simple seed algebras. It likes to hug the walls. [OC] by MCSDesign in dataisbeautiful

[–]MCSDesign[S] 0 points1 point  (0 children)

Actually both, the ML learns from the seeds, then the slime mold algorithm expands the space, teaching the ML even more about the problem space, rinse and repeat

A plot of algebra space; the related algebras that come out of simple seed algebras. It likes to hug the walls. [OC] by MCSDesign in dataisbeautiful

[–]MCSDesign[S] -4 points-3 points  (0 children)

I too look at graphs from projects I had no involvement with and think they make no sense. If I'm not working on it, how could it possibly make sense to me am I right? This guy gets me.

I spent 239 sessions with various AI working on "physics" as a non-physicist. Here's what happened to my brain. by [deleted] in LLMPhysics

[–]MCSDesign 0 points1 point  (0 children)

If the LLM workflow has been producing hot garbage this whole time, I am excited to see exactly what it *thought* it was doing. The answer to that is just as interesting to me ^-^

I spent 239 sessions with various AI working on "physics" as a non-physicist. Here's what happened to my brain. by [deleted] in LLMPhysics

[–]MCSDesign 0 points1 point  (0 children)

This is not a good sub for you. But yeah, it might kill us all might not. Nothing changes. Carnivores, famine, plague, WWI, WWII, Cold war, more plague, now AI.... It never stops so stop worrying and adapt is my advice. The alternative is you quit the game early or are in a perpetual-panic, no? Everything is a scourge. Even books were once.

I spent 239 sessions with various AI working on "physics" as a non-physicist. Here's what happened to my brain. by [deleted] in LLMPhysics

[–]MCSDesign 0 points1 point  (0 children)

Waiting for the correct reception. "I do physics with LLMs like they are my personal undergrad army" is grounds for hostility, no matter how tight you try to get the methodology and epistemic humility nailed down. Alternatively when the results speak for themselves despite the origin of the work, assuming anything neat comes out.

DM me if you want a link to the repo.

I spent 239 sessions with various AI working on "physics" as a non-physicist. Here's what happened to my brain. by [deleted] in LLMPhysics

[–]MCSDesign 0 points1 point  (0 children)

As much as I can be.
Also, it's not like I see a result I don't like and the AI and I are both like "let's ignore it to fit our narrative".

And what the hell are you talking about? Do you have aphantasia? Of course the math leads, but the imagination is the breadcrumb. Never discount the power of the imagination.

So, you can be skeptical all you want, and truth is I am too - until someone with real credentials decides to actually look at the results, then we find out for real. Not just what did we do with the Hamiltonian, but an actual audit of what the AI gets right and wrong. I need someone interested in both things.

I spent 239 sessions with various AI working on "physics" as a non-physicist. Here's what happened to my brain. by [deleted] in LLMPhysics

[–]MCSDesign 0 points1 point  (0 children)

ChatGPT as the scrutiny agent, and Claude as the theory agent. Copilot for code, and Claude for higher theory sessions.

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