Forgive my ignorance, where has AI (particularly the LLMs) proven to be useful and effective to the point of displacing workers? While I understand it has use cases (drug discovery, etc.) they usually add to what information experts add onto it. I don’t see this just displacing corporate roles. How do you see it?
Every single study I’ve seen, LLMs have not been proven to be effective. They still get things wrong, hallucinate and still need to be checked to verify they’re correct on any important work.
Every major tech company that has laid off devs and will absolutely continue doing so. Smart devs gain insane amounts of productivity out of it, and that’s only accelerating.
Entry-level hiring has plummeted, with no signs of that changing. They don’t care what happens in 5-10 when they need new mid- or senior-level devs. It won’t be their problem by then.
What you’re disregarding is Covid era over hiring, higher interest rates, and the world wide tariffs that killed off the labor market. There was a downward trend well before OpenAI launched Chat and kicked off the LLM/AI hype train. There have been the most layoffs this year since 2020 on top of that.
It’s not about their actual effectiveness, it’s about the justification people use to force more “AI” reasons to fire people, reduce pay, eliminate jobs, and so on, and so on…
Literally the first point in this speech, though broad, is making that case. A very small number of people are forcing this shit down people’s throats, and using it to justify the loss of monumental numbers of jobs.
Feel free to look up Amazon’s upcoming waves of layoffs, Salesforce, Google, HP…etc. Amazon alone claims they will be replacing 150k jobs in the US alone in the next year with robots. Again, first point brought up by Bernie.
To me, it is just making the M7 stocks meme stocks. None of them have proven themselves yet. It is all just hype currently. Part of the reason for their layoffs is literally to refocus on AI, not because AI replaced their roles.
I question how this plays out longer term once interest rates are dropped and tariffs are likely struck down. I don’t see AI replacing many roles.
If you don’t see AI replacing many roles, yet you know that LLM’s are not what many seem to think they are, text generators and not AGI, then it seems you don’t believe that AGI will ever happen.
Technology will continue to develop for decades and maybe centuries to come. To only see the short term possibilities is to forget how quickly technology advances.
And even just limiting the discussion to the short-term, what makes you think billionaires aren’t taking advantage of the hype and coercing governments to forego safety and regulation? Maximizing profit over enhancing the lives of the common man?
I mean, even open source LLM’s at the moment can solve somewhat tedious and tricky problems, and just on somewhat mid-tier consumer hardware. Supercomputers exist, and it just seems, with time, breakthroughs are inevitable.
But I will admit, like you say, we have limits, but in the realm of technology, the only real limitations are energy and hardware.
You’re correct on their limitations. That doesn’t stop corporations from implementing them, sometimes as an extra tool, sometimes as a rash displacement of paid labor, and often without your last step, checking the results they output.
LLMs are a specialized tool, but CEOs are using it as a hammer where they see nails everywhere, and it has displaced some workers. A few have realized the mistake and backtracked, but they didn’t necessarily put workers back. As per usual anytime there is displacement.
And for the record, while LLMs are technically under the general AI classification, they are not AI in the sense of what the term AI brings to the mind (AGI). But they have definitely been marketed as such because what started as AI research turned into a money grab that is still going on.
Yes but the hiring slowdown started well before LLMs became mainstream and the current labor market freeze occurred right after the tariffs were enacted. Currently, it seems to be an excuse for a poor labor market with some hope it just might pay off. However, it every study I’ve seen from MIT and Stanford, it has not materialized anywhere to be more efficient than workers or coming close to displacing people. Most CEOs are not exactly tech experts either.
Mkay. I work in the industry, and everything he said is quite on point.
Unless you want to clarify, it seems you have zero clue as to what you are talking about about.
Forgive my ignorance, where has AI (particularly the LLMs) proven to be useful and effective to the point of displacing workers? While I understand it has use cases (drug discovery, etc.) they usually add to what information experts add onto it. I don’t see this just displacing corporate roles. How do you see it?
Every single study I’ve seen, LLMs have not been proven to be effective. They still get things wrong, hallucinate and still need to be checked to verify they’re correct on any important work.
Every major tech company that has laid off devs and will absolutely continue doing so. Smart devs gain insane amounts of productivity out of it, and that’s only accelerating.
Entry-level hiring has plummeted, with no signs of that changing. They don’t care what happens in 5-10 when they need new mid- or senior-level devs. It won’t be their problem by then.
What you’re disregarding is Covid era over hiring, higher interest rates, and the world wide tariffs that killed off the labor market. There was a downward trend well before OpenAI launched Chat and kicked off the LLM/AI hype train. There have been the most layoffs this year since 2020 on top of that.
It’s not about their actual effectiveness, it’s about the justification people use to force more “AI” reasons to fire people, reduce pay, eliminate jobs, and so on, and so on…
Literally the first point in this speech, though broad, is making that case. A very small number of people are forcing this shit down people’s throats, and using it to justify the loss of monumental numbers of jobs.
Feel free to look up Amazon’s upcoming waves of layoffs, Salesforce, Google, HP…etc. Amazon alone claims they will be replacing 150k jobs in the US alone in the next year with robots. Again, first point brought up by Bernie.
To me, it is just making the M7 stocks meme stocks. None of them have proven themselves yet. It is all just hype currently. Part of the reason for their layoffs is literally to refocus on AI, not because AI replaced their roles.
I question how this plays out longer term once interest rates are dropped and tariffs are likely struck down. I don’t see AI replacing many roles.
If you don’t see AI replacing many roles, yet you know that LLM’s are not what many seem to think they are, text generators and not AGI, then it seems you don’t believe that AGI will ever happen.
Technology will continue to develop for decades and maybe centuries to come. To only see the short term possibilities is to forget how quickly technology advances.
And even just limiting the discussion to the short-term, what makes you think billionaires aren’t taking advantage of the hype and coercing governments to forego safety and regulation? Maximizing profit over enhancing the lives of the common man?
You are correct. I do not see AGI happening. Technology does advance but we humans have limitations, as does the world we live in.
I mean, even open source LLM’s at the moment can solve somewhat tedious and tricky problems, and just on somewhat mid-tier consumer hardware. Supercomputers exist, and it just seems, with time, breakthroughs are inevitable.
But I will admit, like you say, we have limits, but in the realm of technology, the only real limitations are energy and hardware.
You’re correct on their limitations. That doesn’t stop corporations from implementing them, sometimes as an extra tool, sometimes as a rash displacement of paid labor, and often without your last step, checking the results they output.
LLMs are a specialized tool, but CEOs are using it as a hammer where they see nails everywhere, and it has displaced some workers. A few have realized the mistake and backtracked, but they didn’t necessarily put workers back. As per usual anytime there is displacement.
And for the record, while LLMs are technically under the general AI classification, they are not AI in the sense of what the term AI brings to the mind (AGI). But they have definitely been marketed as such because what started as AI research turned into a money grab that is still going on.
Yes but the hiring slowdown started well before LLMs became mainstream and the current labor market freeze occurred right after the tariffs were enacted. Currently, it seems to be an excuse for a poor labor market with some hope it just might pay off. However, it every study I’ve seen from MIT and Stanford, it has not materialized anywhere to be more efficient than workers or coming close to displacing people. Most CEOs are not exactly tech experts either.
Sure you would say that, your industry that part of the problem. I bet you get rock hard hoping everything he says comes to pass.
What in the world are you talking about? You’re not making any sense between comments.