Can't wait for this AI bubble to fizzle. It's the blockchain insanity all over again.
Maybe, but gen AI produces actually useful, tractable results. That's already heaps more than crypto, which is just techno gambling
As long as LLM AI models are prone to hallucinating and there is no way to audit how they derive results (eg to verify accuracy), relying on them will have roadblocks/limitations. Once they solve this issue though, that will be a whole different story, I agree. As for other AIs such as image or video generation, I don't have enough experience to tell...
Hallucinations can be heavily reduced today by providing the LLM with grounding truth. People use naked LLMs as knowledge databases, which is prone to hallucinations indeed. However, provide them with verified data from the side and they are very, very good at keeping to the truth. I know, because we deploy these with clients to great avail.
Image, music, video models are making great strides and are already part of various pipelines, all the way up to the big boy tools like Photoshop (generative fill, for example).
The tech is being incorporated at a large scale by a lot of companies, from SME to megacorp. I don't see it going away any time soon, even if it doesn't improve from here on out (which it undoubtedly will).
The issue is that there are from time to time they still confidently hallucinate and there is no way to detect if they are right or not.
How many countries start with the letter K in Africa?
GPT-4:
In Africa, there are three countries that start with the letter "K":
- Kenya
- Kingdom of Eswatini (although it's often referred to simply as Eswatini)
- Kiribati
However, it's worth noting that Kiribati is not in Africa; it's a Pacific island nation. So, only Kenya and the Kingdom of Eswatini in Africa start with the letter "K", but most people just refer to Eswatini without the "Kingdom" prefix. If you meant countries solely with the prominent "K" at the start, then it's just Kenya.
Anecdotal evidence is useless because it can be contradicted with anecdotal evidence.
Hallucinations aren't the only issue with LLMs, they also have a limited amount of context they can recall and that problem won't go away.
This mentality is the same as saying Wikipedia is not a source. I agree, there are better regulations that need to be implemented, but the speed at which these things are being churned out and tuned is mind blowing. It's like if Wikipedia started branching off into sub categories that each have their own specialty, which can be more easily moderated, and then folded back into the more general system.
Errr, what other alternatives are there to the fiat markets?
It's not quite blockchain. It is incredibly useful in a broad range of applications, and has genuinely changed how millions of people work. Sure it's not the magic bullet wall street thinks it is, but my work has been improved immensely through the use of generative AI. Especially with uniquely challenging software problems and niche questions.
I think it'll be similar to VR. Extremely useful and interesting, but over-hyped and not going to penetrate our lives as much as most people think.
My mom never used VR, but she happily talks to GPT4. From that perspective I think mindshare in the broader population will be significantly higher than VR (even if it doesn't live up to the hype VC/Wallstreet machine).
If you had to buy an expensive headset to use chatGPT she wouldn't either.
If she had wheels she'd be a wagon.
I'm just saying the accessibility of AI doesn't necessarily mean it has more utility. Just that it's more accessible.
I'm still waiting for the electricity bubble to fizzle.
pretty sure it'll take nuclear war to pop that one
They did the same thing with “blockchain”, “NFTs”, and other largely vaporware crypto junk last year.
They are just riding the hype wave hoping to cash out before the bottom falls out of it like always.
You forgot RPA. That died down real quick from 2 years ago lool
Thank God.
Those rich fuckers are putting a lot of bets on AI. They're keeping us busy over working struggling to pay to exist, while they perfect our replacement so that they can be rid of us.
Getting rid of us doesn't make sense. We circulate the money. They need us to generate the things that we then buy. Without that they'd need to actually spend money and they won't.
Blows my mind that hard-left people would resist AI since it both allows far more opportunity for direct control of means of production (as it is a time/scale equalizer) and also is the best path toward UBI.
UBI sounds silly to some, but that changes when there's a hundred million people out of work. Especially since AI will carve out from the middle, not from the bottom. That's a LOT of reliably-voting spending power eroding.
AI is another one of those tech fabs that'll fade away, but not like blockchain and NFTs. There's money to be made because people are excited, but it's use-cases are much more complicated.
AI is a fantastic tool for creators, including programmers with Copilot. But it isn't a full-blown replacement for workers quite yet. A lot of capitalists are really excited to slash their workforce in half, sure, but they're utterly ignoring the true potential of AI. It's a tool, not a replacement (yet).
If they really wanted to slash their workforce, middle management has been able to be automated for over a decade. They don't want to fire their friends and their kids.
Middle management doesn't work for you. They work for your boss, and they make sure that the bosses are not bothered by you.
They do exactly what they are meant to do.
Those capitalists also do not understand that if these tools can replace workers everyone can, through FOSS projects, own these tools and let them work for themselves.
This is an extremely good thing for investors.
Very successful small companies almost always seek capital.
AI is great, I had gotten tired of Shutterstock and needed something to replace stock images.
Not sure it's good for much else though.
We are in the infancy of generative AI. For you it has already replaced an entire sector of the workforce: artists. For others it has replaced them wholesale. For others it just assists. Hollywood was trying to legally own actors voices and likenesses to replace them.
This technology is not standing still. It will be great at a lot of things in the future. It could be next month. It could be next year. It could be in a decade. Whenever it arrives for your job it will be cheaper than you. There will be no going backward on this technology.
I totally agree that we're just scratching the surface of what AI can do. But I don't think it's what Wall Street thinks it is. It's not too terribly difficult to spin up an LLM, which means it's going to be difficult to set up chokepoints to extract rent.
Though I bet they'll get the government's help with that by regulating AI for "safety." The big guys won't have a problem but anyone else will have illegal programs running.
I work in IT, you want a list? Probably be quicker to tell you what it's not doing/replacing.
I do think there's some use for AI in its current form (especially AI art as a tool for developing other works, like movies and video games), but I find it bizarre just how much investors value the current form of AI.
As cool as I find AI art, I'm not yet sure about it's commercial viability, given the serious legal issues it's facing. So why do investors, who are supposed to care about commercial viability, value it so much?
And for generative text, I have an even more negative stance. My understanding is that the cost to train and run those AIs is ludicrous. Sure, some companies will use it to make blog spam articles or replace their basic support staff with it, but is that really gonna make it profitable?
And I emphasized "current form" because the current AI is basically just predictive text. It's severely limited and this is extremely evident if you try to ask even basic math problems. It's not capable of actual intelligence, which is what has me very skeptical of it on the long term. Maybe these companies will come up with a new, better form of AI. Or maybe they won't. But it doesn't seem like "just increase the size of the model" is sustainable nor will frankly get closer to strong(ish?) AI.
I haven't used this, but think about all narrators losing their jobs because so can do it with the click of a button. https://customers.microsoft.com/en-AU/story/1646266241611394912-project-gutenberg-nonprofit-azure-synapse-analytics-azure-ai-services
That's a lot of people not on the payroll anymore. No health insurance costs, no vacations. Just using the software.
Think of a lot of analytics jobs that ai can replace. You ever spend a day or two making a spreadsheet do whatever you need it to? That's probably a lot of people's jobs. AI can make those people more efficient (as long as a human checks it later), so companies can fire most of the team. That's a lot more people off the payroll.
And there are companies working on general ai. That will replace.... So many jobs.
And I emphasized “current form” because the current AI is basically just predictive text.
This is a program I use daily at work. Costs me like $250/year on my budget - literally less than. one hotel stay for a work trip. I spent more on food last trip than this will cost my company.
It's a big step away from "predictive text." This is the AI revolution in action. There are dozens of products you don't know about shaking up professions you barely ever think about.
I don't have to build a Content Gen team because of this software, probably ever.
My buddy, meanwhile, is on a team building an "AI" for a major property insurance company to help them sift data. Small changes, incrementally, permeating through the system. That's strong adoption and worth investment.
To replace human labor. That what it is about.
Bandwagoning doesn't require thinking or logic. It's fomo capitalism
There's also no association between the product and it's value. It's perceived value only.
Doesn't generative AI need a whole other layer of technology to become reliable?
The AI needs to control some domain-specific model (like a poser skeleton for pictures of humans) that enforces the rules for how each modelled concept can actually behave, instead of trying to guess the output directly.
This is a most excellent place for technology news and articles.
