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Prism

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Re: Prism

#311
post #191

The Post-LLM World: Fighting Digital Garbage https://archive.org/details/paper_20260127/mode/2up Mini paper: that future isn’t the AI replacing humans. its about humans drowning in cheap artifacts. New unit of measurement proposed: verification debt. Also introduces: Recursive Garbage → model collapse a little joke on Prism)

> The Post-LLM World: Fighting Digital Garbage https://archive.org/details/paper_20260127/mode/2up This appears to just be the output of LLMs itself? It credits GPT-5.2 and Gemini 3 exclusively as authors, has a public domain license (appropriate for AI output) and is only several paragraphs in length.

Which proves its own points! Absolutely genius! The cost asymmetry of producing and checking for garbage truly is becoming a problem in the recent years, with the advent of LLMs and generative AI in general.

Re: Prism

#312

I know many people have negative opinions about this. I'd also like to share what I saw. Since GPT-4o became a thing, everyone who submits academic papers I know in my non-english speaking country (N > 5) has been writing papers in our native language and translating them with GPT-4o exclusively . It has been the norm for quite a while. If hallucination is such a serious problem it has been so for one and half a year…

I've heard that now that AI conferences are starting to check for hallucinated references, rejection rates are going up significantly. See also the Neurips hallucinated references kerfuffle [1] [1]: https://statmodeling.stat.columbia.edu/2026/01/26/machine-le...

Honestly, hallucinated references should simply get the submitter banned from ever applying again. Anyone submitting papers or anything with hallucinated references shall be publicly shamed. The problem isn't only the LLMs hallucinating, it's lazy and immoral humans who don't bother to check the output either, wasting everyone's time and corroding public trust in science and research.

Re: Prism

#313
post #32

From my perspective as a journal editor and a reviewer these kinds of tools cause many more problems than they actually solve. They make the 'barrier to entry' for submitting vibed semi-plausible journal articles much lower, which I understand some may see as a benefit. The drawback is that scientific editors and reviewers provide those services for free, as a community benefit. One example was a submission their und…

I'm curious if you'd be in favor of other forms of academic gate keeping as well. Isn't the lower quality overall of submissions (an ongoing trend with a history far pre-dating LLMs) an issue? Isn't the real question (that you are alluding to) whether there should be limits to the democratization of science? If my tone seems acerbic, it is only because I sense cognitive dissonance between the anti-AI stance common am…

The people on the inside often like all the gatekeeping.

Re: Prism

#314

Naming their tool after the program where private companies run searches on behalf of and give resulting customer data to the NSA....was certainly a choice.

Sir, my tin hat is on.

Re: Prism

#315
post #285

Earlier quoted context omitted.

Perhaps the real issue is the gate-keeping scientific publishing model. Journals had a place and role, and peer-review is a critical aspect of the scientific process but new times (internet, citizien science, higher levels of scientific literacy, and now AI) diminish the benefits of journals creating "barriers to entry" as you put it.

I for one hope not to live in a world where academic journals fall out of favor and are replaced by vibe-coded papers by citizen scientists with inflated egos from one too many “you’re absolutely right!” Claude responses.

Me neither, but what you present is a false dichotomy. Science used to be a past time of the wealthy elites, it became a profession. By opening up it up progrss was accelerated. Same will happen when publication will be made more open and accessible.

Re: Prism

#316
Away from applied math/stats, and physics etc, not that many scientists use LaTeX. I'm not saying it's not useful, just I don't think many scientists will feel like a product that's LaTeX based is intended for them.

Re: Prism

#317

Earlier quoted context omitted.

> whether there should be limits to the democratization of science? That is an interesting philosophical question, but not the question we are confronted with. A lot of LLM assisted materials have the _signals_ of novel research without having its _substance_.

LLMs are tools. In the hands of adept, conscientious researchers, they can only be a boon, assisting in the crafting of the research manuscript. In the hands of less adept, less conscientious users, they accelerate the production of slop. The poster I'm responding to seems to be noting an asymmetry- those who find the most use from these tools could be inept researchers who have no business submitting their work. Thi…

The LLMs does assist the adept researchers in crafting their manuscript, but I do not think it makes the quality much better.

My objection is not that they are the "wrong people". They are just regular people with excellent tools but not necessarily great scientific ideas.

Yes, it was easier to trash the crank's work before based on their unLaTeXed diagrams. Now, they might have a very professional looking diagram, but their work is still not great mathematics. Except that now the editor has a much harder time finding out who submitted a worthwhile paper

In what way do you think the feature of "LaTeXing a whiteboard diagram" is democritizing mathematics? I do not think there are many people who have exceptional mathematical insights but are not able to publish them because they are not able to typeset their work properly.

Re: Prism

#318

Earlier quoted context omitted.

Altman's Law: 99% of all content is slop I can get behind this. This assumes a tool will need to be made to help determine the 1% that isn't slop. At which point I assume we will have reinvented web search once more. Has anyone looked at reviving PageRank?

I mean Kagi is probably the PageRank revival we are talking about. I have heard from people here that Kagi can help remove slop from searches so I guess yeah. Although I guess I am DDG user and I love using DDG as well because its free as well but I can see how for some price can be a non issue and they might like kagi more. So Kagi / DDG (Duckduckgo) yeah.

I’ve been a Kagi subscriber for a while now. Recently picked up ChatGPT Business and now am considering dropping Kagi since I am only using it for trivial searches. Every comparison I’ve done with deep searches by hand and with AI ended up with the same results in far less time using AI.

Re: Prism

#319

Away from applied math/stats, and physics etc, not that many scientists use LaTeX. I'm not saying it's not useful, just I don't think many scientists will feel like a product that's LaTeX based is intended for them.

Economists definitely use LaTeX, but as a field, it's at the intersection of applied math and social sciences so your point stands. I also know some Data Scientists in the industry who do.

Re: Prism

#320

Earlier quoted context omitted.

More relevant than ever: > The amount of energy needed to refute bullshit is an order of magnitude bigger than that needed to produce it. https://en.wikipedia.org/wiki/Brandolini%27s_law

The P≠NP conjecture in CS says checking a solution is easier than finding one. Verifying a Sudoku is fast; solving it from scratch is hard. But Brandolini's Law says the opposite: refuting bullshit costs way more than producing it. Not actually contradictory. Verification is cheap when there's a spec to check against. 'Valid Sudoku?' is mechanical. But 'good paper?' has no spec. That's judgment, not verification.

> The P≠NP conjecture in CS says checking a solution is easier than finding one...

... for NP-hard problems.

It says nothing about the difficulty of finding or checking solutions of polynomial ("P") or exponential ("EXPTIME") problems.

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