Brutkey

Pēteris Krišjānis
@peteriskrisjanis@toot.lv

@androcat@toot.cat @FandaSin@social.linux.pizza @snaptophobic@mastodon.me.uk @kibcol1049@mstdn.social AGI is long term which I don't see any American corporation being able to pull off. I would argue this is most likely very bright minds at R&D making first steps. In reality AGI is still 10 - 15 years away. No shareholders are interested in that.

Androcat
@androcat@toot.cat

@peteriskrisjanis@toot.lv

AGI is not inevitable.

There is very little reason to think it is actually achievable.

Why? Because physical neural nets are expensive, and emulated neural nets have hard limits to growth.

There is no sign of overcoming these limitations, despite all the hype.

@FandaSin@social.linux.pizza @snaptophobic@mastodon.me.uk @kibcol1049@mstdn.social

Pēteris Krišjānis
@peteriskrisjanis@toot.lv

@androcat@toot.cat @FandaSin@social.linux.pizza @snaptophobic@mastodon.me.uk @kibcol1049@mstdn.social it is achievable, but it is most likely highly inefficient in ways people hoping for big payout. As most of our science tech advances are driven by practical usability....yes.
I think the theoretical concept is achievable in 15 years, but as you say, it is not gonna human level or surpassing it.
Robotics and knowledge based systems and ML will be able to achieve much better results in that time frame.

Kierkethumbs up convincingly
@Kierkegaanks@beige.party

@androcat@toot.cat @FandaSin@social.linux.pizza @peteriskrisjanis@toot.lv @snaptophobic@mastodon.me.uk @kibcol1049@mstdn.social Sir Roger Penrose bites his thumb at that notion (he is really old)