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malux85 | 1 month ago

This is what has excited me for many years - the idea I call "scientific refactoring"

What happens if we reason upwards but change some universal constants? What happens if we use Tao instead of Pi everywhere, these kind of fun questions would otherwise require an enormous intellectual effort whereas with the mechanisation and automation of thought, we might be able to run them and see!

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kridsdale3|1 month ago

Not just for math, but ALL of Science suffers heavily from a problem of less than 1% of the published works being capable of being read by leading researchers.

Google Scholar was a huge step forward for doing meta-analysis vs a physical library.

But agents scanning the vastness of PDFs to find correlations and insights that are far beyond human context-capacity will I hope find a lot of knowledge that we have technically already collected, but remain ignorant of.

semi-extrinsic|1 month ago

This idea is just ridiculous to anyone who's worked in academia. The theory is nice, but academic publishing is currently in the late stages of a huge death spiral.

In any given scientific niche, there is a huge amount of tribal knowledge that never gets written down anywhere, just passed on from one grad student to the rest of the group, and from there spreads by percolation in the tiny niche. And papers are never honest about the performance of the results and what does not work, there is always cherry picking of benchmarks/comparisons etc.

There is absolutely no way you can get these kinds of insights beyond human context capacity that you speak of. The information necessary does not exist in any dataset available to the LLM.

newyankee|1 month ago

Exactly, and I think not every instance can be claimed to be a hallucination, there will be so much latent knowledge they might have explored.

It is likely we might see some AlphaGo type new styles in existing research workflows that AI might work out if there is some verification logic. Humans could probably never go into that space, or may be none of the researchers ever ventured there due to different reasons as progress in general is mostly always incremental.

zozbot234|1 month ago

Google Scholar is still ignoring a huge amount of scholarship that is decades old (pre-digital) or even centuries old (and written in now-unused languages that ChatGPT could easily make sense of).

stouset|1 month ago

> What happens if we use Tao instead of Pi everywhere

Literally nothing other than mild convenience. It’s just 2pi.

lapetitejort|1 month ago

Call me a mathematical extremist but I think pi should equal 6.28... and tau, which looks like half of pi, should equal 3.14...

measurablefunc|1 month ago

You're forgetting that some equations have π/2 so on balance nothing will change. It will be the same number of symbols.

chmod775|1 month ago

I can write a sed command/program that replaces every occurence of PI with TAU/2 in LaTeX formulas and it'll take me about 30 minutes.

The "intellectual effort" this requires is about 0.

Maybe you meant Euler's number? Since it also relates to PI, it can be used and might actually change the framework in an "interesting way" (making it more awkward in most cases - people picked PI for a reason).

observationist|1 month ago

I think they mean in a more general way - thinking with tau instead of pi might shift the context in terms of another method or problem solving algorithm, or there might be obscure or complex uses of tau or pi that haven't cross-fertilized in the literature - where it might be natural to think of clever extensions or use cases in one context but not the other, and those extensions and extrapolations will be apparent to AI, within reach of a tedious and exhaustive review of existing literature.

I think what they were getting at is something like this: The application of existing ideas that simply haven't been applied in certain ways because it's too boring or obvious or abstract for humans to have bothered with, but AI can plow through a year's worth of human drudgery in a day or a month or so, and that sort of "brute force" won't require any amazing new technical capabilities from AI.

saulpw|1 month ago

Yeah but you also have to replace all (2*tau/2) with tau, and 4*(tau/2)^2 with tau^2, etc etc...

ogogmad|1 month ago

I'm using LLMs to rewrite every formula featuring the Gamma function to instead use the factorial. Just let "z!" mean "Gamma(z+1)", substitute everywhere, and simplify. Then have the AI rewrite any prose.

kelipso|1 month ago

I’m going to replace every instance of 1 with 0.999 repeating, do the equivalent for all all integers, and see how my mind totally explodes.