[yonkshi]

AGI is a gradient, not an arbitrary threshold.

We are not capable of recreating human level intelligence yet, but our modern algorithms had become magnitudes better at generalization and sample efficiency. And this trend is not showing any signs of slowing down.

Take PPO for example (powers the OpenAI 5 dota agent), the same algorithms can be used for robotic arms as it does with video games. Two completely different domains of tasks now generalizable under one algorithm. That to me is a solid step towards more general AI.

[jhanschoo]

Asking how close our computers and algorithms are to AGI is like asking how close our machines and power systems are to "human physicality".

[taurath]

It’s a gradient but according to the marketers it’s basically going to overtake humanity any week now.

[yonkshi]

I agree. I think a big part of this problem is that smaller companies usually cannot afford AI research. I would even go as far as to say there are more AI companies than capable AI researchers, and this causes a large number of faux-AI companies poisoning the AI branding.

[misterman0]

"AI any week now"

What marketers proclaim that? Are they saying that or are they saying there is _utility_ in AI, now? Because me thinks, there is real utility, now, but it's going to take years until it overtakes us. Years!

[tim333]

I'm not sure anyone said any week now but Musk probably came closest https://www.entrepreneur.com/article/323278

[SomeOldThrow]

For the problem you’re trying to tackle, this startup has already solved it and will show you insights previously impossible!