*Sam Altman,* CEO of OpenAI, founded in 2015:  (the clip is from 28.2.2023)
"Yeah, it probably is just like, we look in a hundred years, it can do the 
whole creative job ... I think it's interesting that if you asked people 10 
years ago about how AI will have an impact, with a lot of confidence from 
almost ... most people you would've heard ... first it's gonna come from the 
blue collar jobs, working in the factories, truck drivers, whatever ... Then it 
will come from the low skill white collar jobs. Then the very high skill, like 
really high IQ white caller jobs, like programmer or whatever... and maybe very 
last of all and maybe never, it's gonna take the creative jobs. ... and it's 
really gone exactly ... it is going exactly the other direction.  ... I think 
there's  an interesting reminder here, generally about how hard predictions 
are, but more specifically about we're not always very aware .. maybe even 
ourselves of what skills are hard and easy. Like what uses most of our brain 
and what doesn't  .... how difficult bodies are to control or make or whatever. 
"
https://www.youtube.com/shorts/VVBAy1cPACw

Todor Arnaudov,  founder, "CEO", "CTO", "R&D" and "blue collar" at The Sacred 
Computer AGI institute, founded in 2000: *2.10.2013:*
"* Creative Intelligence will be First Surpassed and Blown Away by the Thinking 
Machines, not the "low-skill" workers whose jobs require agile and quick 
physical motion and interactions with human-sized and human-shaped environment"*
(an answer to wrong prediction by an "expert" later hugely cited and working 
for Oxford University)
https://artificial-mind.blogspot.com/2013/10/creative-intelligence-will-be-first.html
"""(...)
The "creative intelligence" is hard for the humans, especially hard for average 
people and average researchers, engineers or whatever to understand and explain.

They don't understand their own intentions, "schema", behavior, reasons, they 
don't know why they do or choose precisely what they did etc., can't remember 
and analyse that information good enough.

And the overall problem is not that versatile general intelligence is so 
complex, it is that the humans are too dumb to fit it in their tiny "RAM".
(...)
"The low-skill workers which are agile and fit in human environment (for 
example waiters) are harder to get replaced by humanoid robots - those robots 
are not yet mass produced and for a long time will be more expensive and harder 
to build than to hire a human. Also humans like human waiters, especially 
attractive women.

For the intellectual jobs - it's much easier to pick a computer, run the 
appropriate software or connect it to the service, and get it thinking - you 
already have decent cameras, microphones and many sensors even in smartphones.

There are tens of billions of already available computers - or much more? - and 
many of them in my estimates are fast enough even now, and even 5 or 10 years 
ago, for many "highly intellectual" human-level and super-human level 
activities.

Actually computers were super humans for many decades - from the beginning, but 
that's another topic.

*The bottom line is that the "white collars" are more endangered in 
current-time economy. Perhaps that kind of economy could hardly survive the AGI 
revolution.**
*

I guess it may upside down for a while - *the low-skill workers could get 
higher pay, because intellectual activities will be done in 1 ms for free... ;)*

We, the smart guys (the smart asses, see "Super Smartasses" the graphical 
series ) wouldn't be needed by anyone... Not that we are needed now. :))

Maybe the change won't be that big. :D
""""

One of the side reasons for the incompetence of the "experts" up to now when 
they see the obvious, is that they themselves are "white collars" and they see 
the "blue collars" as inferior to them.  Actually many of the so called 
"clever" or "high IQ" white collars are not such, the metrics are wrong etc. 
(...)

 See other comments by the same author in this email list etc. in the early 
2010, such as that *"intelligence is way simpler than it seems"* (for the most 
humans, who don't understand or hardly do even trivial creative writing, music 
composition or performance; or programming etc.** ).

Of course, also the Moravec paradox, however it was not about the "creative" 
part, it's about "computers do only what tell them to do". Creativity was 
supposed to be something else and "radically different" and this is reflected 
in the wrong view of most homo sapiens.

...

*If you can, join and support:*
*The Sacred Computer: Thinking Machines, Creativity and Human Development
*The true visionary AGI research institute, even when it was run by a single 
boy with his obsolete PCs in late 1990s-early 2000s. LOL. (See the book below: 
....*)

Visit and participate in the online year-long virtual conference Thinking 
Machines 2025/SIGI-2025:
https://github.com/twenkid/SIGI-2025

* The world's first modern AI strategy was published in 2003 by an 18-years old 
Bulgarian and replicated and implemented by the whole world 15-20 years later: 
The Bulgarian Prophecies: How would I invest one million with the greatest 
benefit for my country?, T.Arnaudov, 31.3.2025, a monograph/"multigraph", 248 
pages
https://artificial-mind.blogspot.com/2025/04/the-worlds-first-ai-strategy-was-published-in-2003-by-an-18-years-old-bulgarian.html

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