Earlier quoted context omitted.
> nowadays AI chatbots and coding agents routinely assume they need to get up-to-date information in other ways, via web searches and other tool calling. So I don’t see accuracy declining at least for programming. How do those chat bots discern that the ‘web searches’ they’re using are returning human generated information only that’s been vetted instead of LLM output?
It’s true that they are only as good as their input data, but the same is true if you do your own web searches.
Big Tech Has Suddenly Flipped on the AI Jobs Wipeout Scenario
81–90 of 106 posts
Re: Big Tech Has Suddenly Flipped on the AI Jobs Wipeout Scenario
#82> The only thing that matters is if LLMs with sufficient scaling can become frontier AI researchers kicking off the exponential. Everything else is transient As long as the term “AI” means by-and-large LLMs with additional features sprinkled on top, the answer is no. More likely (without careful vetting by the folks aggregating these models) is that the quality will go down as more and more AI-generated output gets s…
> More likely (without careful vetting by the folks aggregating these models) is that the quality will go down as more and more AI-generated output gets subsumed into these models. This assumes that there aren't algorithmic breakthroughs which reduce training/inference costs by several OOMs. How much do these models need to do before people throw their hands in the air and say, ok this is happening. The Erdos unit di…
Re: Big Tech Has Suddenly Flipped on the AI Jobs Wipeout Scenario
#83Earlier quoted context omitted.
Of course not. This coming crash will be where we learn that tech is "too big to fail" in the same way that the financial system is. They'll let one player fail (likely Anthropic, due to the constant fighting with the government) and bail out the rest.
I guess I'm not sure why you'd expect it to be any different than the dotcom bubble, when this didn't really happen. "Too big to fail" is a thing in finance because of contagion factors that don't really apply to tech; there's no number of AI company bankruptcies that would force your bank to suspend withdrawals.
Re: Big Tech Has Suddenly Flipped on the AI Jobs Wipeout Scenario
#84Earlier quoted context omitted.
Of course not. This coming crash will be where we learn that tech is "too big to fail" in the same way that the financial system is. They'll let one player fail (likely Anthropic, due to the constant fighting with the government) and bail out the rest.
I guess I'm not sure why you'd expect it to be any different than the dotcom bubble, when this didn't really happen. "Too big to fail" is a thing in finance because of contagion factors that don't really apply to tech; there's no number of AI company bankruptcies that would force your bank to suspend withdrawals.
Re: Big Tech Has Suddenly Flipped on the AI Jobs Wipeout Scenario
#85> The only thing that matters is if LLMs with sufficient scaling can become frontier AI researchers kicking off the exponential. Everything else is transient As long as the term “AI” means by-and-large LLMs with additional features sprinkled on top, the answer is no. More likely (without careful vetting by the folks aggregating these models) is that the quality will go down as more and more AI-generated output gets s…
Re: Big Tech Has Suddenly Flipped on the AI Jobs Wipeout Scenario
#86Earlier quoted context omitted.
I guess I'm not sure why you'd expect it to be any different than the dotcom bubble, when this didn't really happen. "Too big to fail" is a thing in finance because of contagion factors that don't really apply to tech; there's no number of AI company bankruptcies that would force your bank to suspend withdrawals.
https://en.wikipedia.org/wiki/Collapse_of_Silicon_Valley_Ban...
Re: Big Tech Has Suddenly Flipped on the AI Jobs Wipeout Scenario
#87Earlier quoted context omitted.
Humans face the same problem. So this at least shouldn't make AI perform worse relative to humans, even if AI slop degrades the performance of both over time.
I find it to not be acceptable if AI's trend is to degrade performance of both AI and humans at the same time, that's kinda not the goal, right? Why are we spending money to make us dumber?
Re: Big Tech Has Suddenly Flipped on the AI Jobs Wipeout Scenario
#88> The only thing that matters is if LLMs with sufficient scaling can become frontier AI researchers kicking off the exponential. Everything else is transient As long as the term “AI” means by-and-large LLMs with additional features sprinkled on top, the answer is no. More likely (without careful vetting by the folks aggregating these models) is that the quality will go down as more and more AI-generated output gets s…
>As long as the term “AI” means by-and-large LLMs with additional features sprinkled on top, the answer is no. More likely (without careful vetting by the folks aggregating these models) is that the quality will go down as more and more AI-generated output gets subsumed into these models. Nope. This isn't how it works. AI progress has largely been synthetic and has produced leaps and bounds capabilities increases in…
Re: Big Tech Has Suddenly Flipped on the AI Jobs Wipeout Scenario
#89Earlier quoted context omitted.
Sorry, but you aren't familiar with frontier models if you think it's not "good enough". The latest models are quite a bit more capable than most people in many regards already.
No, they aren't. Not even at the one thing (programming) which they are supposed to be best at. People are always claiming "frontier models are so much better" but that is a false claim.
I'm a staff engineer and the amount of work and even troubleshooting the latest crop of LLMs can do at my behest is jaw-dropping.
I perused your comment history, and you refer to models as 'ChatGPT', which doesn't really inspire much confidence that you know what you're talking about.
People keep telling you that you're behind and using old technology and that the most recent models are really good and a sea-change because, well - they are.
Re: Big Tech Has Suddenly Flipped on the AI Jobs Wipeout Scenario
#90Dumbasses the lot of them. Took that nonsense to Capitol Hill, trying to tell a bunch of politicians who knew damn well they are only there as long as they can keep their voters employed. They could have asked their own AI what happens when employment reaches 40-50%. Hint: it's never good. They were going to become another problem the government had to solve. Also, UBI is non-starter no matter what Sam Altman believe…