> This is where LLM is currently going.
This is not where LLMs are currently going. They are trained and benchmarked explicitly in all areas that humans produce economically and cognitively valuable work: STEM fields, computer use, robotics, etc.
Systems are already emerging where AI agents autonomously orchestrate subagents which again all work towards a goal autonomously and only from time to time communicate with you to give you status updates.
Thinking that you as a slow human will be needed for much longer to fill some crucial role in this AI system that it cannot solve by itself, and to bring some crucial skill of creativity or thinking to the table that it cannot generate itself is just wishful thinking. And to me personally, telling an AI to "do cool thing X" without having made any contribution to it beyond the initial prompt also feels very depressing and seems like much less fun than actually feeling valued in what I do. I'm sorry for sounding harsh.
Steve Jobs
Now, what are doers in the age of LLM is another question.
Jobs' talent was that he was an incredibly talented salesman.
Jobs envisioned the iPad and iPhone. Did he do the physical work? No. But he created direction.
Everyone around him at that time has commented on this. Are you going to claim they’re all lying?
I don't claim that they are all lying, but I do claim that quite some people fell for Apple's marketing (as I wrote: "Jobs' talent was that he was an incredibly talented salesman.").
A lot of gadgets that were claimed by Steve Jobs to have been envisioned by Apple (or rather: by him) - as I wrote: Steve Jobs was an exceptional salesman - already existed before, just in a way that had a little bit more rough edges. These did not sell so well, because the companies did not have a marketing department that made people believe that what they sell is the next big thing.
Sometimes it's a lack of capacity for novel thinking. Sometimes it's fear caused by past trauma. Or it can be age. Or an inability to overcome habits. The list goes on, but the point is that I've had to work with or supervise employees (even in IT!) that didn't have a creative bone in their body. It wasn't a lack of motivation, it was usually something on the list above.
These people absolutely deserved the feeling of being useful, and those are the people I'm most concerned for in this new post-LLM world. The creative types will most likely be fine, but we have words to describe creativity as an acknowledgement that there can be an absence of creativity.
Yes, everyone starts out creative.
But we all can tell the difference between a worker that is still creative and learning and a worker that gave up creativity and is just doing his job. The first will still be useful in this AI age the second will be replaced by AI learning what he already knows.
Rather: the workers who are (still) creative are typically a huge annoyance to their bosses.
In a new world where creativity is valued higher more people could probably keep their creativity.
This is in my opinion a very dubious assumption. :-(
Are there studies done on this or is this just wishful thinking?
The debate how similar or dissimilar LLMs are to brains wasn't solved by any kind of scientific finding, it feels we just sort of decided at some point that they'd have to be fundamentally different, because everything else would be highly problematic.
But it's not fun to be figuring out new things all the time. Some amount of routine work is necessary to 1) exercise mastery (feels good), and 2) recover energy. This is why a lot of people find agentic coding exhausting and less fun, you're basically always having to be creative (what's the next feature?) or solve the hardest 5% of issues the LLM can't handle.
Maybe I'm wired differently, but this is fun to me, and "exercising mastery" by doing routine work is almost never fun, things stop being fun and feel good once I've "mastered" them, and I can't say I've ever "recovered energy" by doing routine work, it seems to suck energy out of me faster than anything. To recover, I tend to rest and do anything but work. But again, maybe it's just weird wiring.
So you just lose your job.
LLMs are shit at doing stuff to anyone who is a domain expert in the thing that they are supposed to be doing. They are trained on a huge corpus of average stuff. They produce average to crappy solutions quickly. The technology industry bubble is trained to accept that as good enough which is why everyone is excited. Elsewhere it's a complete and utter joke.
And on top of that, a huge chunk of doing requires humans to physically do something or absolute determinism is better anyway, neither of which an LLM is capable of.
None of it makes sense.
Edit: actually the technology industry moves the goalposts to match the claims. That is the dishonest bit. I've not seen any evidence of novel capability which isn't corrupted by some dishonest measurement approach.
I suppose it depends on your definition of “doing” - if it’s “writing code”, then sure. But there’s a whole world of actual, physical “doing” that AI is nowhere close to matching humans at, and it’s much easier for me to envision a world where AI replaces the management / “thinking” layer of society than the physical labor. Which is scary, because it’s the opposite of his (and I would assume most people’s) ideal.
This is where LLM is currently going. Not really AGI since they can't think like humans, but they can do a lot of things and humans can train them on novel things.
Then human work is changed to figuring out new things and the AI solves all old things, that seems much more fun than most white collar work today.