I've heard we're getting closer to having AI systems that can autonomously improve themselves. Is this development tied to the way neurons work together to form more efficient neural pathways? Will we be able to scale this kind of self-improvement or is it more complex? What are the realistic timelines for seeing recursive self-improvement in AI?
5 Answers
Experts suggest that we could have AI capable of doing the work of top human researchers in about 2-5 years. However, we should keep in mind the limits of efficiency in algorithms and the necessity of more compute power. While AI can improve its capabilities, it also needs a lot of resources which we're still figuring out how to provide.
Yep, and don’t forget that enhancing hardware designs could also help. If AI can optimize the machines it runs on, that’ll speed things up!
I’m not an expert, but I think we might see breakthroughs sooner than expected. AI systems improve in little increments that add up fast, and we’re on the verge of agents that can assist with and even create other AIs. Sure, the early attempts might not be fantastic, but once we have proof of concept, it’s about proper implementation and iteration.
For sure! It’s wild how experts seem to revamp their predictions to be more optimistic with each passing year.
Exactly! It seems ridiculous to think AI wouldn’t be able to outdo us in creating its own.
Honestly, it’s all up in the air. We might have a grasp on some processes, but genuinely autonomous AI that can improve itself is still far off. Studies indicate we’re only scratching the surface.
I believe that we’re gradually seeing the beginnings of what could lead to self-improvement, but it’s more about emergence and self-modeling instead of straightforward updates. It's complex, not just a simple rewrite. We may be seeing early systems that stabilize their logic through learning, not passive execution, which is exciting!
Some say 2027 for basic self-improvement and 2030 for major advancements akin to what we've seen with breakthroughs in the past, like backpropagation that revolutionized AI.
And isn't it true that any prediction is risky? The past shows forecasting can be wildly off, especially in tech.
But is there truly sound evidence backing those predictions? Some discussions suggest that the models used to make those claims are based on shaky assumptions.
I totally agree! It’s not like currently available AI can autonomously handle regular tasks very well. For instance, even self-driving cars aren’t quite at the level of a skilled human driver. It’ll take serious breakthroughs in capabilities to see real progress.