"Fake it till you make it may work in Silicon Valley, but for the rest of us, I think once bitten twice shy may be more appropriate for AI," MacroStrategy Parternship's Ferguson told Bloomberg.
If you bother to RTFA then you’ll see that they mean it’s useless from investor perspective because it uses a lot of energy, and there are limited practical applications for it. AI services that companies like MS and Google are offering are being subsidized by these companies, and they’re subsidizing them because they expect that they will be able to make them profitable somehow going forward. If they can’t then the bubble will burst because investors and shareholders aren’t gonna keep dumping cash into this tech. The hype cycle around AI isn’t new either, we’ve been here many times https://en.wikipedia.org/wiki/AI_winter
I think the tech does have legitimate uses, and that it will continue improving over time. I’m just pointing out that it’s being massively oversold right now. I actually think it’s better if the bubble bursts early on in the hype cycle, and then people can focus on figuring out how to apply this tech where it actually works well.
What’s your field of work? I work in IT and really try to find some day to day use cases where AI might help and I just don’t seem to find any. The odd presentation or maybe a sprint review protocol, but nothing recurring or anything that feels game changing.
It’s useful when programming for generating straightforward code and giving high-level advice on well-trodden topics, though you do have to check both. And typing in questions does help me clarify my thinking, so it also serves as that premium rubber duck. Nothing I couldn’t do without it, but sometimes I do find it convenient and helpful.
You use LLMs for everything? Seems strange, as they don’t reason. They are specifically designed to mimic human speech. So they are great for tasks that require presenting information that looks intelligible, or at least are very easily testable, but beyond that you run into serious issues with hallucination fast…
Or do you mean “AI” as in data science and automation? That’s a very different thing which is a bit off topic. That Kind of “AI” is neither new nor has the hallucination/ecological/cost/training effort issues associated with it
I dunno dude, all your answers talk about “AI” in suspiciously vague terms. “I use AI to …” is the new “built with blockchain”. Skip the marketing terms and talk shop.
For example if I need to generate a long formula for excel or power apps, I could write it myself or I can just tell the LLM the parameters and it will do it in 1/10th of time.
If I need to create course material, I can shove in bullet points for my key topics and have it expand it into a first draft for me. This concept I actually use a lot more than just for course material. It’s great at generating drafts of everything from statements of work and quotes to presentations (Co-Pilot in 365)
I know how to do the job without it, so hallucinations are easily caught and cleaned up. It’s a tool to speed me up, not replace me.
If it’s so useless, why am I using it all the time for my job to speed up my work?
If you bother to RTFA then you’ll see that they mean it’s useless from investor perspective because it uses a lot of energy, and there are limited practical applications for it. AI services that companies like MS and Google are offering are being subsidized by these companies, and they’re subsidizing them because they expect that they will be able to make them profitable somehow going forward. If they can’t then the bubble will burst because investors and shareholders aren’t gonna keep dumping cash into this tech. The hype cycle around AI isn’t new either, we’ve been here many times https://en.wikipedia.org/wiki/AI_winter
There are many practical uses, and more to be discovered, but I think most of them won’t be user-facing.
I think the tech does have legitimate uses, and that it will continue improving over time. I’m just pointing out that it’s being massively oversold right now. I actually think it’s better if the bubble bursts early on in the hype cycle, and then people can focus on figuring out how to apply this tech where it actually works well.
Because you had a bullshit job to begin with?
It’s quite sad that a take like “if you find LLMs useful you must have a bullshit job” is getting upvoted in a technology community.
I automate office processes, improving productivity. So literally the opposite of a bullshit job.
It’s silly how the anti-AI hivemind will downvote you for simply informing them that you find AI useful.
Things are either wholly good or wholly bad. Don’t confuse people by trying to pretend like there’s such a thing as nuance.
What’s your field of work? I work in IT and really try to find some day to day use cases where AI might help and I just don’t seem to find any. The odd presentation or maybe a sprint review protocol, but nothing recurring or anything that feels game changing.
It’s useful when programming for generating straightforward code and giving high-level advice on well-trodden topics, though you do have to check both. And typing in questions does help me clarify my thinking, so it also serves as that premium rubber duck. Nothing I couldn’t do without it, but sometimes I do find it convenient and helpful.
Business process automation. I use it for everything from communications to programming.
You use LLMs for everything? Seems strange, as they don’t reason. They are specifically designed to mimic human speech. So they are great for tasks that require presenting information that looks intelligible, or at least are very easily testable, but beyond that you run into serious issues with hallucination fast…
Or do you mean “AI” as in data science and automation? That’s a very different thing which is a bit off topic. That Kind of “AI” is neither new nor has the hallucination/ecological/cost/training effort issues associated with it
I dunno dude, all your answers talk about “AI” in suspiciously vague terms. “I use AI to …” is the new “built with blockchain”. Skip the marketing terms and talk shop.
LLMs
For example if I need to generate a long formula for excel or power apps, I could write it myself or I can just tell the LLM the parameters and it will do it in 1/10th of time.
If I need to create course material, I can shove in bullet points for my key topics and have it expand it into a first draft for me. This concept I actually use a lot more than just for course material. It’s great at generating drafts of everything from statements of work and quotes to presentations (Co-Pilot in 365)
I know how to do the job without it, so hallucinations are easily caught and cleaned up. It’s a tool to speed me up, not replace me.
deleted by creator