If you claim "AGI is possible" without knowing how we'll actually get there you're just writing science fiction. Which is fine, but I'd really rather we don't bet the economy on it.
If you claim "AGI is possible" without knowing how we'll actually get there you're just writing science fiction. Which is fine, but I'd really rather we don't bet the economy on it.
Would not having a complete foolproof step by step plan to obtaining a nuclear bomb somehow make me wrong then?
The so-called "plan" is simply "fund the R&D, and one of the R&D teams will eventually figure it out, and if not, then, at least some of the resources we poured into it would be reusable elsewhere". Because LLMs are already quite useful - and there's no pathway to getting or utilizing AGI that doesn't involve a lot of compute to throw at the problem.
In 1940 I might have said "fusion power is possible" based entirely on what advanced psychics knowledge I had. And I would have been correct, according to the laws of physics it is possible. We still don't have it though. When watching Neil Armstrong walk on the moon I might have said "moon colonies are possible", and I'd have been right there too. And yet...
For AI in particular, the economics currently favor ongoing capability R&D - and even if they didn't favor AI R&D directly (i.e. if ChatGPT and Stable Diffusion never happened), they would still favor making the computational inputs of AI R&D cheaper over time.
Building advanced AIs is becoming easier and cheaper. It's just that the bar of "good enough" has gone off to space, and a "good enough" from 2020 is, nowadays, profoundly unimpressive.
I'm not sure how much does it take to reach AGI. No one is sure of it. But the path there is getting shorter over time, clearly. And LLMs existing, improving and doing what they do makes me assume shorter AGI timelines, and call for a vote of no confidence on human exceptionalism.
Why do you assume there is no hard limit we’ll hit with the current tech that prevents us from reaching AGI?
If, let's say, in 2029, it turns out that autoregressive transformer LLMs have exhausted their potential, the R&D that goes into improving them now would be put into finding alternatives. And I struggle to imagine not finding any.
Maybe that was a sensible thing to think in 1926, when the closest things we had to "an artificial replica of human intelligence" was the automatic telephone exchange and the mechanical adding machine. But knowledge and technology both have advanced since.
Now, we're in 2026, and the list of "things that humans can do but machines can't" has grown quite thin. "Human brain is doing something truly magical" is quite hard to justify on technical merits, and it's the emotional value that makes the idea linger.
Also, the real thing (intelligence) as it is currently in operation isn't that well understood