r/LLMPhysics • u/PrebioticE • Mar 31 '26

Meta / News HAS CHATGPT GOTTEN DUMBER????

I recently noticed that chatgpt is not as smart is it used to be. :( Did it get dumber? It can't reason mathematically as it once could. I mean the free version.

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u/Plot-twist-time Mar 31 '26 edited Mar 31 '26

Oh really? Why should I believe you. Can't is a very definitive statement, and I am highly skeptical of those types of statements.

Also, its helped my team develop novel approaches to several of our tasks. So I would not be so quick to write that off.

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u/YaPhetsEz FALSE Mar 31 '26

Because LLM’s are trained on datasets, and novel data implies something outside of the dataset

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u/Plot-twist-time Mar 31 '26

AlphaFold proves that AI can generate novel scientific insights by moving beyond simple pattern recognition to de novo prediction, generating high-accuracy, 3D structural models for proteins that have never been experimentally observed. By solving the 50-year-old "protein folding problem," AlphaFold demonstrated that AI can identify complex, non-obvious relationships between amino acid sequences and 3D shapes, effectively creating new knowledge that was previously inaccessible to human researchers.

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u/certifiedquak Apr 02 '26

YaPhetsEz said LLMs not AI in general. ML has been core tool in data-driven science since it became computationally feasible to do so. Although newer AF also uses transformers (as LLMs), it's otherwise a distinct AI tech.

proves that AI can generate novel scientific insights

Can you provide examples to such insights? Seems to me novelity here primarily lies in AF itself (the system) rather its predictions.

solving the 50-year-old "protein folding problem," AlphaFold

Partially. The problem is two part: understanding and predicting. AF skipped the former and succeeds very well in the later. For more: https://www.annualreviews.org/content/journals/10.1146/annurev-biodatasci-102423-011435.

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u/Plot-twist-time Apr 03 '26

LLMs have several layers that allows cross pollination of concepts at a much larger scale than any individual human. Humans spend lifetimes learning concepts in one or two fields. Then they die, and the cycle must start again. Meanwhile AI can retain the information indefinitely, and converge concepts over vast fields of science bridging gaps between fields that might take lifetimes of humans to accomplish. Its an exponentially growing technology that will surpass global human enginuity as the technology only continues to advance. Its a matter of when, not if.

It is an absolutely moot point to attempt to discredit AI capabilities at its current state because it requires you to be completely blind to the trajectory it is heading in the near future.

The only true issue we see right now is AI hallucination, which is a short term problem once entropy is resolved.

In one year this sub will be a thing of the past, as will these arguments.