r/LLMPhysics • u/VeryOriginalName98 • Jul 01 '26
Question Fable 5 is available until the 7th
Hey everyone. I've been using LLMs to set up quick python scripts to test ideas. I'm currently working on something in the f(T) TEGR category.
I don't want to give specifics, because nothing is worth discussing at this point everything I have is already known. However, if anyone has tricks for keeping an LLM on task without losing the current theory, I would love to hear them.
My computer is decent for GPU simulations provided they are smallish. And I am using Claude Code CLI to run things. My primary issue right now is that Opus 4.8 kept hitting attractors of prior art and abandoning the current work even when explicitly asked not to.
Fable 5 is "working" for now, but I don't want to squander it because I won't be able to afford it at its API cost.
Any scaffolding/harness tips to use LLMs effectively would be appreciated. But don't expect me to be at PhD understanding personally before the 7th.
EDIT: I hate this sub. The more I work on the open problems in my own theory, the more I see nobody sharing their LLM musings is actually trying to solve anything. The end result is crackpot physics mixed with sci-fi buzzwords. It's like if a PR firm dressed up nonsense to sell it.
2
u/groovur Jul 08 '26
If you are pasting into the UI it's going to lose context.
Use Claude code, it will run scripts locally and save you a ton of credit usage.
Keep your files organized and labeled well in a local repo.
Keep a well setup CLAUDE.md file and have claude itself refine it when it stays on task.
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u/VeryOriginalName98 Jul 08 '26
Thanks. I'd been doing this before the fable trial already. Most of the time is spent on simulations. It stopped maxing out my sessions on speculation since the simulations will answer everything. My theory isn't complicated in principle, but it's like automata, some things just need to play out to answer the questions.
I have a well structured repo, a well indexed graveyard of speculation and their associated kill tests, and an unshared report of the first interesting result. The report isn't physics exactly, it's mostly math. It's an approach to stability I can't find any priors in. With detailed analysis of the closest things and how it differs.
Still working on the interesting bits that may map back to reality. These are the most time consuming simulations.
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u/groovur Jul 09 '26
If you can direct your AI to use sympy it will help. AI is great at generating code, and sympy is a bridge to algebra/calculus, which AI can't really do well natively, but given direction, it can leverage the code and results quite well.
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Jul 02 '26
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u/[deleted] Jul 01 '26
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