this post was submitted on 15 Aug 2025
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[–] CubitOom@infosec.pub 66 points 18 hours ago (4 children)

The race to have the magic box that tells you lies that you want to hear while also consuming incredible amounts of resources...why is this a race again?

[–] krunklom@lemmy.zip 4 points 10 hours ago (2 children)

I really don't understand this perspective. I truly don't.

You see a new technology with flaws and just assume that those flaws will always be there and the technology will never progress.

Like. Do you honestly think this is the one technology that researchers are just going to say "it's fine as-is, let's just stop improving it"?

You don't understand the first thing about how it works but people like you are SO certain that the way it is now is how it will always be, and that because there are flaws developing it further is pointless.

I just don't get it.

[–] CubitOom@infosec.pub 20 points 9 hours ago* (last edited 7 hours ago) (1 children)

I've actually worked professionally in the field for a couple of years since it was interesting to me originally. I've built RAG architecture backends for self hosted FOSS LLMs, i've fine tuned LLMs with new data, And I've even took the opposite approach where I embraced the hallucinations as I thought it could be used for more creative tasks. (I think this area still warrants research). I also enjoy TTS and STT use cases and have FOSS models for those on most of my devices.

I'll admit that the term AI is extremly vauge. It's like saying you study medicine, it's a big field. But I keep coming to the conclusion that LLMs and predictive generative models in general simply do not work for the use cases that it's being marketed for to consumers, CEOs, and Governments alike.

This " AI race" happened because Deepseek was able to create a model that was more or less equivalent to OpenAI and Anthropic models. It should have been seen as a race between proprietary and open source since deep seek is one of the more open models at that performance level. But it became this weird nationalist talking point on both countries instead.

There are a lot of things the US is actually in a race with China in. Many of which are things that would have immediate impact. Like renewable energy, international respect, healthcare advances, military sufficiency, human rights, food supplies, and afordible housing, just to name a few.

The promise of AI is that it can somehow help in the above categories eventually, and that's cool. But we don't need AI to make improvements to them right now.

I think AI is a giant distraction, while the the talk of nationalistic races is just being used for investor buy in.

[–] krunklom@lemmy.zip 2 points 4 hours ago

Appreciate you expanding on the earlier comment. All fair points.

[–] Randomgal@lemmy.ca 0 points 10 hours ago

Feelings don't care about logic. It's that easy.

[–] Simulation6@sopuli.xyz 7 points 13 hours ago (2 children)

The telling lies part is not good, but I think the dream of AI is a servant (or slave) with unlimited potential that can solve, until now, unsolvable problems. Cure for cancer, sure that will be $10k a pill. Eternal life? Sure that will be 1 million dollars a years for all eternity. Robot army to protect you? Top of the list.
Question I have is, is the AI we see the same AI the teck bros see? Is there a public interface that is made to appear a little buffoonish so the masses can laugh it off, but the real interface is much much better?

[–] kieron115@startrek.website 5 points 10 hours ago

The only answer I need from an AI is 42.

[–] boonhet@sopuli.xyz 9 points 13 hours ago

Those things are being solved by other forms of AI, not LLMs. AlphaFold is about the most useful thing AI has done so far and it's not a chatbot.

We get access to entertainment AI, but there could be different forms of AI in use in medical science that have nothing to do with image or text generation.

[–] MonkderVierte@lemmy.zip 1 points 14 hours ago* (last edited 14 hours ago)

Because it was a race for simulating more deadly nukes till now. But that got silly, so they need something new to compare their pp.