posted in Technology
GrapheneOS defends use of AI for coding
GrapheneOS is currently defending its use of AI coding tools on Mastodon against complaints by various accounts claiming to be users.
grapheneos.social/@GrapheneOS/117243573090596184We do not understand where you’re coming from or why you’re so incredibly angry with us. It’s not justified and does not make sense.
Replying to @General_Effort@lemmy.world
I’d argue that this news is over-blown. The project has more than a solid and honorable track record with insanely talented engineers behind it. AI is a new technology that is not going anywhere. I would put my faith into their decisions to improve this project by whatever means they think are best.
The truth is most commenters are not technically skilled to evaluate or critique their decisions. If GOS team, who again would be at the top % in the field, feel that this can elevate the project, should we not give them the benefit of the doubt?
Replying to @Vendetta@feddit.org
AI is a new technology that is not going anywhere.
I always wonder where this sentiment comes from. Whether or not AI is going anywhere is still very much up in the air
Replying to @EncryptKeeper@lemmy.world
It’s not going anywhere because it’s already been here for a very long time, you just didn’t know about it
What people call “AI” is just Machine Learning.
Chatbots, OCR, Text-to-Speech, Speech-to-Text, Computer Vision, Web Search, Spam filtering or Fraud detection, Personalized ADs, even your phone’s camera processing algorithm.
It’s all Machine Learning, but now under new and fancy “AI” name. And it’s been here for decades.
The reason it blew up this much only now is because people realized that the more data you feed into it, the better the output becomes. And so they started exploring it more, to the extent of causing valid ethical concerns.
Replying to @Mistic@lemmy.world
the more data you feed into it, the better the output becomes.
And that’s bullshit. The slop machines have already peaked. More input will not improve the results.
Replying to @raspberriesareyummy@lemmy.world
Not compared to models from 00s or 10s…
What’s with the reading comprehension, people? I was talking about pre-AI boom vs. now, not now vs. 1-2 years ago, c’mon.
Replying to @Mistic@lemmy.world
LLMs use a new way of data processing (focused on language rules) which is what brought the boost. Not more training data. More training data is needed for an LLM to reach “maturity” but it also increases cost due to resource usage. And current LLMs have already absorbed basically all of the internet and most books, and since the internet is now full of slop, more unpoisoned training data does not exist. That’s why more does not help anymore.