I’ve been working with gpt-4 since the week it came out, and I guarantee you that even if it never became any more advanced, it could already put at least 30% of the white collar workforce out of business.
The only reason it hasn’t is because companies have barely started to comprehend what it can do.
Within 5 years the entire world will have been revolutionized by this technology. Jobs will evaporate faster than anyone is talking about.
If you’re very smart, and you begin to use gpt-4 to write the tools that will replace you, then you MIGHT have 10 good years left in this economy before humans are all but obsolete.
If you’re not staying up nights, scared shitless by what’s coming, it’s because you don’t really understand what gpt-4 can do.
I’m a senior Linux sysadmin who’s been following the evolution of AI over this past year just like you, and just like you I’ve been spending my days and nights tinkering with it non stop, and I have come to more or less the same conclusion as you have.
The downvotes are from people who haven’t used the AI, and who are still in the Internet 1.0 mindset. How people still don’t get just how revolutionary this technology is, is beyond me. But yeah, in a few years that’ll be evident enough, time will show.
And, from SirGolan ref :
Submitted on 3 Oct 2023
Language Models Represent Space and Time
… (from the summary) …Our analysis demonstrates that modern LLMs acquire structured knowledge about fundamental dimensions such as space and time, supporting the view that they learn not merely superficial statistics, but literal world models. https://arxiv.org/abs/2310.02207
What makes it worse (in my opinion) is that LLMs are just one step in this development (which is exponential and not limited by human capabilities).
For example :
Numenta launches brain-based NuPIC to make AI processing up to 100 times more efficient https://lemmy.world/post/4941919
since I forgot what I was saying here 4 months ago I read the whole thread again and basically what I said is that I agree with what you said then (4 months ago) and I added a couple of references//ideas to make this point stronger.
Also, I have no idea why you did receive this notification only today, 4 months after the discussion. I guess the Lemmy software is buggy since for my account I did not receive some notifications in a few instances where someone replied to some of my comments and I just happened to see those replies anyway since I was reading all again.
This is just the smallest tip of the iceberg.
I’ve been working with gpt-4 since the week it came out, and I guarantee you that even if it never became any more advanced, it could already put at least 30% of the white collar workforce out of business.
The only reason it hasn’t is because companies have barely started to comprehend what it can do.
Within 5 years the entire world will have been revolutionized by this technology. Jobs will evaporate faster than anyone is talking about.
If you’re very smart, and you begin to use gpt-4 to write the tools that will replace you, then you MIGHT have 10 good years left in this economy before humans are all but obsolete.
If you’re not staying up nights, scared shitless by what’s coming, it’s because you don’t really understand what gpt-4 can do.
I’m a senior Linux sysadmin who’s been following the evolution of AI over this past year just like you, and just like you I’ve been spending my days and nights tinkering with it non stop, and I have come to more or less the same conclusion as you have.
The downvotes are from people who haven’t used the AI, and who are still in the Internet 1.0 mindset. How people still don’t get just how revolutionary this technology is, is beyond me. But yeah, in a few years that’ll be evident enough, time will show.
I feel sorry for these folks. They have no idea what’s about to happen.
@flossdaily@lemmy.world
@anarchy79@lemmy.world
@SirGolan@lemmy.sdf.org
I quite agree.
And, from SirGolan ref : Submitted on 3 Oct 2023 Language Models Represent Space and Time
… (from the summary) …Our analysis demonstrates that modern LLMs acquire structured knowledge about fundamental dimensions such as space and time, supporting the view that they learn not merely superficial statistics, but literal world models.
https://arxiv.org/abs/2310.02207
What makes it worse (in my opinion) is that LLMs are just one step in this development (which is exponential and not limited by human capabilities).
For example :
Numenta launches brain-based NuPIC to make AI processing up to 100 times more efficient
https://lemmy.world/post/4941919
Removed by mod
Hi @anarchy79@lemmy.world,
since I forgot what I was saying here 4 months ago I read the whole thread again and basically what I said is that I agree with what you said then (4 months ago) and I added a couple of references//ideas to make this point stronger.
Also, I have no idea why you did receive this notification only today, 4 months after the discussion. I guess the Lemmy software is buggy since for my account I did not receive some notifications in a few instances where someone replied to some of my comments and I just happened to see those replies anyway since I was reading all again.
take care, 👍
Removed by mod