3 ms·
To define AGI, we'd first have to define GI. Humans are very different. As park rangers like to say, there is an overlap between the smartest bears and the du
by jedberg 1y ago
To define AGI, we'd first have to define GI. Humans are very different. As park rangers like to say, there is an overlap between the smartest bears and the dumbest humans, which is why sometimes people can't open bear-proof trash cans.
It's a similar debate with self driving cars. They already drive better than most people in most situations (some humans crash and can't drive in the snow either for example).
Ultimately, defining AGI seems like a fools errand. At some point the AI will be good enough to do the tasks that some humans do (it already is!). That's all that really matters here.
- lukan 1y ago" At some point the AI will be good enough to do the tasks that some humans do (it already is!). That's all that really matters here." What matters to me is, if the "AGI" can reliably solve the tasks that I give to it and that requires also reliable learning. LLM's are far from that. It takes special human AGI to train them to make progress.
- jedberg 1y ago> What matters to me is, if the "AGI" can reliably solve the tasks that I give to it and that requires also reliable learning. How many humans do you know that can do that?
- Jensson 1y agoMost humans can reliably do the job they are hired to do.
- jedberg 1y agoUsually they require training and experience to do so. You can't just drop a fresh college grad into a job and expect them to do it.
- lukan 1y agoBut given enough time, they will figure it out on their own. LLM's cannot do that ever. Once they can ... I am open to revisit my assumptions about AGI.
- dns_snek 1y agoThey may require training but that training is going to look vastly different. We can start chatting about AGI when AI can be trained with as few examples and as little information as humans are, when they can replace human workers 1:1 (in everything we do) and when they can self-improve over time just like humans can.