Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:5 years? I know some top schools will stay around as novelty but overall seems like collapse is imminent. When graduating classes start experiencing increasing double digit unemployment? Seems like that is just around the corner.
There is zero chance of this. For one thing, AI is no where close to ready for prime time. Second, you still need humans to develop content, review fact and oterhwise be creative. Three AI can do things that humans can in the physical world. The fact is, yes, there are tasks that AI can complete, but only 80% of the way there and it requires humans to get the other 20%, regardless of task.
Yes but when AI is completing 80% of the tasks and only requiring deminimus effort from humans to complete it, the jobs for humans will start drying out. And as humans "fix" or "complete" the task to 100%, AI is learning what the human is doing (when companies start using employees to feed training data to AI as many companies have started to do) and iteratively getting better at completing the task to 100%. And, I don't think you're 5 years ago. There's an exponential growth curve happening in the world of AI. Think about the last year and how much more functionality and utility we got from the top two models out there.
They still mostly suck.
No they actually dont. If you've been using the models over the last two years, you know exactly how good they gotten. They're not perfect (and I'm not sure they can ever reach perfection given what LLMs are); however, to say they "suck," just means you haven't really been using the models other than to fix some emails.
The other problem is that most people don't know how to actually write proper prompts. They get garbled information or the model hallucinates. There's all kinds of issues when your prompting is actually the problem. People think asking Claude questions as if you were just chatting with the bot is the way to get a fully fledged answer. It's not. But no one is actually taking the time to learn how to prompt (especially non-coders).
Seems like it won’t be very disruptive then if the problem is that “most people” simply can’t use it.
+1. OP is the same person who asked 5 years ago if the economy and housing in DMV will collapse due to the pandemic.Anonymous wrote:OP is the same poster who asked 5 years ago if crypto would cause all banking to collapse; and if self-driving cars would cause the auto industry to collapse. How's that going?
Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:5 years? I know some top schools will stay around as novelty but overall seems like collapse is imminent. When graduating classes start experiencing increasing double digit unemployment? Seems like that is just around the corner.
There is zero chance of this. For one thing, AI is no where close to ready for prime time. Second, you still need humans to develop content, review fact and oterhwise be creative. Three AI can do things that humans can in the physical world. The fact is, yes, there are tasks that AI can complete, but only 80% of the way there and it requires humans to get the other 20%, regardless of task.
Yes but when AI is completing 80% of the tasks and only requiring deminimus effort from humans to complete it, the jobs for humans will start drying out. And as humans "fix" or "complete" the task to 100%, AI is learning what the human is doing (when companies start using employees to feed training data to AI as many companies have started to do) and iteratively getting better at completing the task to 100%. And, I don't think you're 5 years ago. There's an exponential growth curve happening in the world of AI. Think about the last year and how much more functionality and utility we got from the top two models out there.
They still mostly suck.
No they actually dont. If you've been using the models over the last two years, you know exactly how good they gotten. They're not perfect (and I'm not sure they can ever reach perfection given what LLMs are); however, to say they "suck," just means you haven't really been using the models other than to fix some emails.
The other problem is that most people don't know how to actually write proper prompts. They get garbled information or the model hallucinates. There's all kinds of issues when your prompting is actually the problem. People think asking Claude questions as if you were just chatting with the bot is the way to get a fully fledged answer. It's not. But no one is actually taking the time to learn how to prompt (especially non-coders).
Anonymous wrote:Anonymous wrote:Anonymous wrote:Better question seems to be how long until the AI bubble bursts.
+1
I honestly believe AI has been waaaaaaaaay overhyped.
For the people making these kinds of statements, you're really not using AI to its fullest capacity and it would be nice if you could actually understand that. For those who are heavily utilizing tokens and are required to do so by their jobs, no one on that end is saying it's "waaaaaaaaaay overhyped."
Anonymous wrote:Anonymous wrote:What kind of country do we want? All uneducated people who don’t go to college, for what? What is even the point of human life if we don’t have work to support ourselves?
Well, right now the uneducated people are going to college and graduating just as uneducated as when they started, having cheated to get over a standards bar that has been lowered to the bottom.
Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:Anonymous wrote:5 years? I know some top schools will stay around as novelty but overall seems like collapse is imminent. When graduating classes start experiencing increasing double digit unemployment? Seems like that is just around the corner.
There is zero chance of this. For one thing, AI is no where close to ready for prime time. Second, you still need humans to develop content, review fact and oterhwise be creative. Three AI can do things that humans can in the physical world. The fact is, yes, there are tasks that AI can complete, but only 80% of the way there and it requires humans to get the other 20%, regardless of task.
Yes but when AI is completing 80% of the tasks and only requiring deminimus effort from humans to complete it, the jobs for humans will start drying out. And as humans "fix" or "complete" the task to 100%, AI is learning what the human is doing (when companies start using employees to feed training data to AI as many companies have started to do) and iteratively getting better at completing the task to 100%. And, I don't think you're 5 years ago. There's an exponential growth curve happening in the world of AI. Think about the last year and how much more functionality and utility we got from the top two models out there.
They still mostly suck.
No they actually dont. If you've been using the models over the last two years, you know exactly how good they gotten. They're not perfect (and I'm not sure they can ever reach perfection given what LLMs are); however, to say they "suck," just means you haven't really been using the models other than to fix some emails.
The other problem is that most people don't know how to actually write proper prompts. They get garbled information or the model hallucinates. There's all kinds of issues when your prompting is actually the problem. People think asking Claude questions as if you were just chatting with the bot is the way to get a fully fledged answer. It's not. But no one is actually taking the time to learn how to prompt (especially non-coders).