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Dreams come true (mander.xyz)
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[-] AntEater@discuss.tchncs.de 3 points 4 hours ago

What's the academic terminology for "go pound sand"?

[-] Granite@lemmy.world 43 points 19 hours ago

Feed the LLM with LLM generated books. No resentment at all!

[-] Etterra@lemmy.world 17 points 16 hours ago

So what you're saying is, don't beat the targets because fuck those guys. Understood.

[-] ininewcrow@lemmy.ca 108 points 1 day ago* (last edited 15 hours ago)

How many of these books will just be totally garbage nonsense just so they could fulfill a prearranged quota.

Now the LLM are filled with a good amount of nonsense.

[-] poplargrove@lemmy.world 4 points 4 hours ago

That would be terrible because they are both some of the best academic publishers in the humanities.

[-] Tolookah@discuss.tchncs.de 58 points 1 day ago

Just use the llm to make the books that the llm then uses, what could go wrong?

[-] runner_g@lemmy.blahaj.zone 28 points 19 hours ago

Someone's probably already coined the term, but I'm going to call it LLM inbreeding.

[-] anzo@programming.dev 2 points 6 hours ago

In computer science, garbage in, garbage out (GIGO) is the concept that flawed, biased or poor quality ("garbage") information or input produces a result or output of similar ("garbage") quality. The adage points to the need to improve data quality in, for example, programming.

There was some research article applying this 70s computer science concept to LLMs. It was published in Nature and hit major news outlets. Basically they further trained GPT on its output for a couple generations, until the model degraded terribly. Sounded obvious to me, but seeing it happen on the www is painful nonetheless...

[-] Naz@sh.itjust.works 15 points 19 hours ago

I suggested this term in academic circles, as a joke.

I also suggested hallucinations ~3-6 years ago only to find out it was ALSO suggested in the 1970s.

Inbreeding, lol

[-] chicken@lemmy.dbzer0.com 4 points 18 hours ago

The real term is synthetic data

[-] itslilith@lemmy.blahaj.zone 3 points 17 hours ago

but it amounts to about the same

[-] Benn@lemm.ee 3 points 18 hours ago

It's quite similar to another situation known as data incest

[-] thesporkeffect@lemmy.world 3 points 19 hours ago

Soylent AI? Auto-infocannibalism

[-] rickyrigatoni@lemm.ee 3 points 20 hours ago

It can only go right because corporations must be punished for trying to replace people with machines.

[-] gibmiser@lemmy.world 45 points 1 day ago

Jfc that's gross

[-] Jake_Farm@sopuli.xyz 48 points 1 day ago

And they expect you to do this for free?

[-] ApathyTree@lemmy.dbzer0.com 25 points 1 day ago

Do they not have to pay for the privilege? Or is this not referring to academic publishing? (It’s not super clear, but context indicates academic?)

[-] Jake_Farm@sopuli.xyz 27 points 1 day ago

If it is that makes it even worse. Academic publishers need to be abolished.

[-] thejml@lemm.ee 11 points 1 day ago

Nah, they get “Exposure”!

/s

[-] Rolando@lemmy.world 7 points 1 day ago

Anyone who reviews for the major publishers is part of the problem.

[-] Jake_Farm@sopuli.xyz 7 points 21 hours ago

For profit corporations don't deserve your volunteer work.

[-] phdepressed@sh.itjust.works 2 points 19 hours ago

And yet if you aren't a reviewer it makes your CV look worse.

[-] Rolando@lemmy.world 2 points 13 hours ago

Agreed that you should have some kind of "service" on your CV, but reviewing is pretty low impact. And if you want to review, you can choose something other than the predatory publishers.

[-] phdepressed@sh.itjust.works 1 points 4 hours ago

Such as? They're all predatory just to varying degrees.

[-] SlopppyEngineer@lemmy.world 2 points 1 day ago* (last edited 1 day ago)

Soylent Green is a lie anyway. Your need to "soylentify" half the population to feed the other half every year if it would be the only source of calories.

[-] SpaceNoodle@lemmy.world 29 points 1 day ago

No, the point is that they're just recycling the dissidents they were going to murder anyway.

this post was submitted on 28 Sep 2024
604 points (99.2% liked)

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