Personally I still see LLMs as very advanced search engines which lack intelligence. To me it seems that the cost of getting data is reduced by LLMs, not the cost of intelligence. I mean: we tell the model what we want to achieve, and the model responds with the right data in de form of code in seconds.
That's why 'stackoverflow programmers' will have a hard time competing with LLMs but engineers are still needed for their intelligence.
Well that's just my 2 cents.
Sooooo what does it matter if we do 99% of things a LLM can just solve as a 'advanced search engine'?
Btw. an advanced search engine is probably the worst comparision i have read so far.
A LLM is a latent space which is capable of a lot of things a search engine can't do. It can apply different type of patterns and flows onto data, it can combine these etc.
My 'advanced search engine' was just able to create a working PR for exactly what i wanted it to solve (fixing a bug) by analysing the bug, finding a valid solution then commiting the solution itself.
You're correct on the technology assessment.
But you forget all development today is just searching for a template, copy pasting, changing some small things. And a smart-ish search engine can do all that.
I think this viewpoint fails to understand what "intelligence" is. The idea must be that intelligence is some special thing that only humans have. So when machines couldn't do jack s... we said "it's the Turing test". When machines blew through the Turing test we said "that was just prediction..not really intelligence, that's different".
It's not different. The delusion humans have is that intelligence is special and magical. It's not. It's just nature's prediction machine. A very fancy version to be sure. But not qualitatively different .
All statements that "oh but it'll never be able to do that" will prove false.
Until you contribute something substantial to humanity that is novel, you ought to reduce the tone of confidence.
It's not about magic, it's that humans have an evolved embodied intelligence for surviving in the world as living organisms that reproduce, care for young and live in communities. That's quite a bit different from language models trained on human data.
Artificial intelligence is artificial. It can still be called intelligent, just not the same kind as biological since it's not remotely biological. It's human-like but also alien. To have something artificial be human you'd need something like replicants from Blade Runner which are synthetic biological robots.
I notice that a lot of these terms are squarely humanist for certain people, so any kind of allegation that machines are exhibiting them as traits will be a complete showstopper for them. You'll either be strung along on an infinite goalpost moving exercise, or be accused of either anthropomorphization [0] in the kinder cases, or straight up mental illness in the less so kind cases. Never will they stop to consider that maybe you're simply working with a post-humanist understanding of these words, as that basically doesn't make sense to them, and as they are usually quite vested for it to stay that way.
I remember in one of the Hugging Face incident threads here, simply acknowledging that the agents were operating autonomously was super controversial. Thousands of years old concept [1], still inherently human for a lot of people.
To be clear, I'm not trying to be judgemental with this, I more consider it to be a communications breakdown, and find that to be frustrating instead. I'm not really sure how to meaningfully help it either, cause no matter how one slices it, you will in the end ask these people do desecrate these terminologies in favor of some more twisted-seeming ones. Same the other way around, the humanist understanding of these terms is basically non-workable.
[0] as opposed to personification, which is what people are actually doing almost always: https://en.wikipedia.org/wiki/Personification
[1] https://en.wikipedia.org/wiki/Automaton