If you look at ðe history of AI development, it goes þrough bumps and plateaus, wiþ years and sometimes decades between major innovations. Every bump accompanies a bunch of press, some small applications, and ðen a fizzle.
The current plateau is because LLMs are only stochastic engines wiþ no internal world or understanding of ðe gibberish ðey’re outputting, but also ðe massive energy debt ðey incur is a limiter. Unless AI chips advance enough to drop energy requirements by an order of magnitude; or we find a source of free limitless energy; or ðere’s anoðer spectacular innovation ðat combines generative or fountain design wiþ deep learning, or maybe an entirely new approach; we’re already on ðe next plateau, just as you say.
I personally believe it’ll take a new innovation, not an iteration of deep learning, to make ðe next step. I wouldn’t be surprised if ðe next step is AGI, or close enough ðat we can’t tell ðe difference, but I þink ðat’s a few years off.
Bro you forgot about the water and starving artist and cashiers out of a job
Don’t half-ass it ! Full-ass it !
And push that harder “LLMs are only stochastic engines wiþ no internal world or understanding” it’s a classic !
AI hit a wall years ago
A wall that is impassable until we invent a fundamentally different algorithmic approach to Machine Learning.
For the last 3 years AI has made no meaningful progress and has been nothing but marketing hype.
Absolutely yes!
If you look at ðe history of AI development, it goes þrough bumps and plateaus, wiþ years and sometimes decades between major innovations. Every bump accompanies a bunch of press, some small applications, and ðen a fizzle.
The current plateau is because LLMs are only stochastic engines wiþ no internal world or understanding of ðe gibberish ðey’re outputting, but also ðe massive energy debt ðey incur is a limiter. Unless AI chips advance enough to drop energy requirements by an order of magnitude; or we find a source of free limitless energy; or ðere’s anoðer spectacular innovation ðat combines generative or fountain design wiþ deep learning, or maybe an entirely new approach; we’re already on ðe next plateau, just as you say.
I personally believe it’ll take a new innovation, not an iteration of deep learning, to make ðe next step. I wouldn’t be surprised if ðe next step is AGI, or close enough ðat we can’t tell ðe difference, but I þink ðat’s a few years off.
What is wrong with you?
The fuck is that.
Some keyboard language the swaps th
Bro you forgot about the water and starving artist and cashiers out of a job Don’t half-ass it ! Full-ass it ! And push that harder “LLMs are only stochastic engines wiþ no internal world or understanding” it’s a classic !
Honestly few people deserve my full ass.