this post was submitted on 19 Oct 2023
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Black Mirror creator unafraid of AI because it’s “boring”::Charlie Brooker doesn’t think AI is taking his job any time soon because it only produces trash

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[–] [email protected] 109 points 1 year ago (58 children)

The thing with AI, is that it mostly only produces trash now.

But look back to 5 years ago, what were people saying about AI? Hell, many thought that the kind of art that AI can make today would be impossible for it to create! ..And then it suddenly did. We'll, it wasn't actually suddenly, and the people in the space probably saw it coming, but still.

The point is, we keep getting better at creating AIs that do stuff we thought were impossible a few years ago, stuff that we said would show true intelligence if an AI can do them. And yet, every time some new impressive AI gets developed, people say it sucks, is boring, is far from good enough, etc. While it slowly, every time, creeps on closer to us, replacing a few jobs here and there in the fringes. Sure, it's not true intelligence, and it still doesn't beat humans, but, it beats most, at demand, and what happens when inevitably better AIs get created?

Maybe we're in for another decades long AI winter.. or maybe we're not, and plenty more AI revolutions are just around the corner. I think AIs current capabilities are frighteningly good, and not something I expected to happen this soon. And the last decade or so has seen massive progress in this area, who's to say where the current path stops?

[–] [email protected] 14 points 1 year ago* (last edited 1 year ago) (10 children)

I think the breakthroughs in AI have largely happened now as we're reaching a slowndown and an adoption phase

The research has been stagnating. Video with temporal consistency doesn't want to come, voice is still perceptibly non-human, openai is assembling 5 models in a trenchcoat to make gpt do images and it passing as progress, ...

Companies and people are adopting what is already there for new applications, it's getting more common to see neural network models in lots of solutions where the tech adds good value and is applicable, but the models aren't breaking new grounds like in 2021 anymore

The only new fundamental developments i can recall in the core technology is the push for smaller models trainable on way less data and that can be specialized for certain applications. Far away from the shock we all got when AI suddenly learned to draw a picture from a prompt

[–] [email protected] 9 points 1 year ago

I want to note that everything you talk about is happening on the scales of months to single years. That's incredibly rapid pace, and also too short of a timeframe to determine true research trends.

Usually research is considered rapid if there is meaningful progression within a few years, and more realistically about a decade or so. I mean, take something like real time ray tracing, for comparison.

When I'm talking about the future of AI, I'm thinking like 10-20 years. We simply don't know enough about what is possible to say what will happen by then.

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