Second, I'm really curious what's your "adapt" path, because I suspect you're in denial too. Accept that, before long, an LLM will not need you to write good prompts, tell it to "keep going", or say "no, that's wrong". What's your value then? Does your employer keep you on the payroll as charity? For old times' sake? If your value is just supervising AI, then your value is declining rapidly.
People in unskilled professions don't have choice when automation shows up and takes their jobs. Software engineering may go down in history as one of the few highly skilled professions that didn't just keel over and die, but enthusiastically embraced its own demise.
The only thing I can think of is the reduction of truffles as an ingredient, which apparently happened around WWI. We eat a lot fewer of them than before.
> Second, I'm really curious what's your "adapt" path, because I suspect you're in denial too. Accept that, before long, an LLM will not need you to write good prompts, tell it to "keep going", or say "no, that's wrong". What's your value then? Does your employer keep you on the payroll as charity? For old times' sake? If your value is just supervising AI, then your value is declining rapidly.
Your employer cannot talk to all the LLM sessions at the same time. He also can't write a prompt that will do it for him.
> People in unskilled professions don't have choice when automation shows up and takes their jobs. Software engineering may go down in history as one of the few highly skilled professions that didn't just keel over and die, but enthusiastically embraced its own demise.
It's changed several times over the decades. How many people are working on a mainframe nowadays? How many people are writing assembly? Look at how many languages have come and gone too. LLM is a big change, but that doesn't mean software people will be gone.
"When all this blows over" you will still have open source models that are at least as capable as right now, probably more.
When the RAM bubble pops you'll be seeing cards with 4X this amount of RAM for that price.
No new governments on the DAO, no ubiquitous programs running on the chain, no magical new answer to “fiat”… just a lot of empty promises and waste.
No one here ever seems to learn.
Is your thesis that AI is useless? Because that seems like fantasy to me.
There is maybe a case to make around the economics of AI companies, but even there I'm very skeptical because the open models are quite capable on relatively inexpensive hardware.
ML isn’t useless, that’s been obvious for a while, but it’s grossly overhyped and people here who think their vibe-coding isn’t ultimately worthless are delusional.
To me and many others who were there this feels a lot like the dot com boom. It was hyped like crazy. Many companies got huge valuations and then disappeared almost overnight when the bubble popped, but overall the hype was not just valid but under stated.
> People here who think their vibe-coding isn’t ultimately worthless are delusional
Depends what you value, I guess, I mean ultimately everything is dust and ashes. But if you think that typical vibe-coding output is more worthless than typical pre-LLM coding then you're just wrong.
What I see in this hype round that's relatively novel is a lot of people trying to persuade themselves that it might all go away if they wish hard enough.
ML has uses, those uses probably don’t make anyone rich on their own without the current pattern of hype and fraud. Those uses probably won’t end up replacing white collar work as it would have to for the valuations involved to be sane.
It was very unclear that this was your argument. Sure. Maybe. I don't much care either way.
> Those uses probably won’t end up replacing white collar work
Ironically the only way I see you being correct here is if it generates so much economic growth that it indirectly creates more jobs than it destroys (which I don't think is a wildly unlikely scenario).l
Edit: Perhaps you mean all white collar work though, in which case sure, I don't buy that either.