On mar, 2025-01-07 at 10:56 +0100, Alberto Cammozzo via nexa wrote: > Utile sintesi da parte di un tecnico, con molti elementi interessanti e spunti > di riflessione senza posizioni ideologiche. > Riporto per esteso in calce solo la parte "LLMs need better criticism" non per > censurare il resto che merita senz'altro la lettura, ma perché mi pare che > risponda a quanto si cerca di fare qui, ed in particolare mi pare attinente al > dibattito in corso. > <https://simonwillison.net/2024/Dec/31/llms-in-2024/> > Things we learned about LLMs in 2024 > A lot has happened in the world of Large Language Models over the course of > 2024. Here’s a review of things we figured out about the field in the past > twelve months, plus my attempt at identifying key themes and pivotal moments. > [...] > LLMs need better criticism > A lot of people absolutely hate this stuff. In some of the spaces I hang out > (Mastodon, Bluesky, Lobste.rs, even Hacker News on occasion) even suggesting > that “LLMs are useful” can be enough to kick off a huge fight. > I get it. There are plenty of reasons to dislike this technology—the > environmental impact, the (lack of) ethics of the training data, the lack of > reliability, the negative applications, the potential impact on people’s jobs. > LLMs absolutely warrant criticism. We need to be talking through these > problems, finding ways to mitigate them and helping people learn how to use > these tools responsibly in ways where the positive applications outweigh the > negative. > I like people who are skeptical of this stuff. The hype has been deafening for > more than two years now, and there are enormous quantities of snake oil and > misinformation out there. A lot of very bad decisions are being made based on > that hype. Being critical is a virtue. > If we want people with decision-making authority to make good decisions about > how to apply these tools we first need to acknowledge that there ARE good > applications, and then help explain how to put those into practice while > avoiding the many unintiutive traps.
Fare traduzioni, riassunti e manipolazioni del linguaggio. Far fare altro e propagandarlo come soluzione al problema X è, non sono abituato a girarci attorno, semplicemente sbagliato, per non dire scorretto, per non dire criminale. > (If you still don’t think there are any good applications at all I’m not sure > why you made it to this point in the article!) > I think telling people that this whole field is environmentally catastrophic > plagiarism machines that constantly make things up is doing those people a > disservice, no matter how much truth that represents. There is genuine value > to be had here, but getting to that value is unintuitive and needs guidance. > Those of us who understand this stuff have a duty to help everyone else figure > it out.
