A lot of the AI boom is like the DotCom boom of the Web era. The bubble burst and a lot of companies lost money but the technology is still very much important and relevant to us all.
AI feels a lot like that, it’s here to stay, maybe not in th ways investors are touting, but for voice, image, video synthesis/processing it’s an amazing tool. It also has lots of applications in biotech, targetting systems, logistics etc.
So I can see the bubble bursting and a lot of money being lost, but that is the point when actually useful applications of the technology will start becoming mainstream.
I’m glad someone else is acknowledging that AI can be an amazing tool. Every time I see AI mentioned on lemmy, people say that it’s entirely useless and they don’t understand why it exists or why anyone talks about it at all. I mention I use ChatGPT daily for my programming job, it’s helpful like having an intern do work for me, etc, and I just get people disagreeing with me all day long lol
The bubble burst and a lot of companies lost money but the technology is still very much important and relevant to us all.
The DotCom bubble was built around the idea of online retail outpacing traditional retail far faster than it did, in fact. But it was, at its essence, a system of digital book keeping. Book your orders, manage your inventory, and direct your shipping via a more advanced and interconnected set of digital tools.
The fundamentals of the business - production, shipping, warehousing, distribution, the mathematical process of accounting - didn’t change meaningfully from the days of the Sears-Roebuck Catalog. Online was simply a new means of marketing. It worked well, but not nearly as well as was predicted. What Amazon did to achieve hegemony was to run losses for ten years, while making up the balance as a government sponsored series of data centers (re: AWS) and capitalize on discount bulk shipping through the USPS before accruing enough physical capital to supplant even the big box retailers. The digital front-end was always a loss-leader. Nobody is actually turning a profit on Amazon Prime. It’s just a hook to get you into the greater Amazon ecosystem.
Pivot to AI, and you’ve got to ask… what are we actually improving on? It’s not a front-end. It’s not a data-service that anyone benefits from. It is hemorrhaging billions of dollars just at OpenAI alone (one reason why it was incorporated as a Non-Profit to begin with - THERE WAS NO PROFIT). Maybe you can leverage this clunky behemoth into… low-cost mass media production? But its also extremely low-rent production, in an industry where - once again - marketing and advertisement are what command the revenue you can generate on a finished product. Maybe you can use it to optimize some industrial process? But it seems that every AI needs a bunch of human babysitters to clean up all the shit is leaves. Maybe you can get those robo-taxis at long last? I wouldn’t hold my breath, but hey, maybe?!
Maybe you can argue that AI provides some kind of hook to drive retail traffic into a more traditional economic model. But I’m still waiting to see what that is. After that, I’m looking at AI in the same way I’m looking at Crypto or VR. Just a gimmick that’s scaring more people off than it drags in.
I don’t mean it’s like the dotcom bubble in terms of context, I mean in terms of feel. Dotcom had loads of investors scrambling to “get in on it” many not really understanding why or what it was worth but just wanted quick wins.
This has same feel, a bit like crypto as you say but I would say crypto is very niche in real world applications at the moment whereas AI does have real world usages.
They are not the ones we are being fed in the mainstream like it replacing coders or artists, it can help in those areas but it’s just them trying to keep the hype going. Realistically it can be used very well for some medical research and diagnosis scenarios, as it can correlate patterns very easily showing likelyhood of genetic issues.
The game and media industry are very much trialling for voice and image synthesis for improving environmental design (texture synthesis) and providing dynamic voice synthesis based off actors likenesses. We have had peoples likenesses in movies for decades via cgi but it’s only really now we can do the same but for voices and this isn’t getting into logistics and/or financial where it is also seeing a lot of application.
Its not going to do much for the end consumer outside of the guff you currently use siri or alexa for etc, but inside the industries AI is very useful.
crypto is very niche in real world applications at the moment whereas AI does have real world usages.
Crypto has a very real niche use for money laundering that it does exceptionally well.
AI does not appear to do anything significantly more effectively than a Google search circa 2018.
But neither can justify a multi billion dollar market cap on these terms.
The game and media industry are very much trialling for voice and image synthesis for improving environmental design (texture synthesis) and providing dynamic voice synthesis based off actors likenesses. We have had peoples likenesses in movies for decades via cgi but it’s only really now we can do the same but for voices and this isn’t getting into logistics and/or financial where it is also seeing a lot of application.
Voice actors simply don’t cost that much money. Procedural world building has existed for decades, but it’s generally recognized as lackluster beside bespoke design and development.
These tools let you build bad digital experiences quickly.
For logistics and finance, a lot of what you’re exploring is solved with the technology that underpins AI (modern graph theory). But LLMs don’t get you that. They’re an extraneous layer that takes enormous resources to compile and offers very little new value.
Are you talking specifically about LLMs or Neural Network style AI in general? Super computers have been doing this sort of stuff for decades without much problem, and tbh the main issue is on training for LLMs inference is pretty computationally cheap
Super computers have been doing this sort of stuff for decades without much problem
Idk if I’d point at a supercomputer system and suggest it was constructed “without much problem”. Cray has significantly lagged the computer market as a whole.
the main issue is on training for LLMs inference is pretty computationally cheap
Again, I would not consider anything in the LLM marketplace particularly cheap. Seems like they’re losing money rapidly.
The funny thing about Amazon, is we are phasing it out of our home now. Because it has become an online 7Eleven. You don’t pay for shipping and it comes fast, but you are often paying 50-100% more for everything. If you use AliExpress, 300-400% more… just to get it a week or two faster. I would rather go to local retailers that are increasing Chinese goods for a 150% profit, than Amazon and pay 300%. It just means I have to leave the house for 30 minutes.
would rather go to local retailers that are increasing Chinese goods for a 150% profit, than Amazon and pay 300%
A lot of the local retailors are going out of business in my area. And those that exist are impossible to get into and out of, due to the fixation on car culture. The Galleria is just a traffic jam that spans multiple city blocks.
The thing that keeps me at Amazon, rather than Target, is purely the time visit of shopping versus shipping.
Google Search is such an important facet for Alphabet that they must invest as many billions as they can to lead the new generative-AI search. IMO for Google it’s more than just a growth opportunity, it’s a necessity.
I guess I don’t really see why generative AI is a necessity for a search engine? It doesn’t really help me find information any faster than a Wikipedia summary, and is less reliable.
Obviously still has fair share of dumb stuff happening with these systems today, but there have been some big steps in just the last few years. Wouldn’t be surprised if it was much spookier a decade from now.
In general, good to use as a tool to be taken with grain of salt and further review.
A lot of the AI boom is like the DotCom boom of the Web era. The bubble burst and a lot of companies lost money but the technology is still very much important and relevant to us all.
AI feels a lot like that, it’s here to stay, maybe not in th ways investors are touting, but for voice, image, video synthesis/processing it’s an amazing tool. It also has lots of applications in biotech, targetting systems, logistics etc.
So I can see the bubble bursting and a lot of money being lost, but that is the point when actually useful applications of the technology will start becoming mainstream.
I’m glad someone else is acknowledging that AI can be an amazing tool. Every time I see AI mentioned on lemmy, people say that it’s entirely useless and they don’t understand why it exists or why anyone talks about it at all. I mention I use ChatGPT daily for my programming job, it’s helpful like having an intern do work for me, etc, and I just get people disagreeing with me all day long lol
The DotCom bubble was built around the idea of online retail outpacing traditional retail far faster than it did, in fact. But it was, at its essence, a system of digital book keeping. Book your orders, manage your inventory, and direct your shipping via a more advanced and interconnected set of digital tools.
The fundamentals of the business - production, shipping, warehousing, distribution, the mathematical process of accounting - didn’t change meaningfully from the days of the Sears-Roebuck Catalog. Online was simply a new means of marketing. It worked well, but not nearly as well as was predicted. What Amazon did to achieve hegemony was to run losses for ten years, while making up the balance as a government sponsored series of data centers (re: AWS) and capitalize on discount bulk shipping through the USPS before accruing enough physical capital to supplant even the big box retailers. The digital front-end was always a loss-leader. Nobody is actually turning a profit on Amazon Prime. It’s just a hook to get you into the greater Amazon ecosystem.
Pivot to AI, and you’ve got to ask… what are we actually improving on? It’s not a front-end. It’s not a data-service that anyone benefits from. It is hemorrhaging billions of dollars just at OpenAI alone (one reason why it was incorporated as a Non-Profit to begin with - THERE WAS NO PROFIT). Maybe you can leverage this clunky behemoth into… low-cost mass media production? But its also extremely low-rent production, in an industry where - once again - marketing and advertisement are what command the revenue you can generate on a finished product. Maybe you can use it to optimize some industrial process? But it seems that every AI needs a bunch of human babysitters to clean up all the shit is leaves. Maybe you can get those robo-taxis at long last? I wouldn’t hold my breath, but hey, maybe?!
Maybe you can argue that AI provides some kind of hook to drive retail traffic into a more traditional economic model. But I’m still waiting to see what that is. After that, I’m looking at AI in the same way I’m looking at Crypto or VR. Just a gimmick that’s scaring more people off than it drags in.
I don’t mean it’s like the dotcom bubble in terms of context, I mean in terms of feel. Dotcom had loads of investors scrambling to “get in on it” many not really understanding why or what it was worth but just wanted quick wins.
This has same feel, a bit like crypto as you say but I would say crypto is very niche in real world applications at the moment whereas AI does have real world usages.
They are not the ones we are being fed in the mainstream like it replacing coders or artists, it can help in those areas but it’s just them trying to keep the hype going. Realistically it can be used very well for some medical research and diagnosis scenarios, as it can correlate patterns very easily showing likelyhood of genetic issues.
The game and media industry are very much trialling for voice and image synthesis for improving environmental design (texture synthesis) and providing dynamic voice synthesis based off actors likenesses. We have had peoples likenesses in movies for decades via cgi but it’s only really now we can do the same but for voices and this isn’t getting into logistics and/or financial where it is also seeing a lot of application.
Its not going to do much for the end consumer outside of the guff you currently use siri or alexa for etc, but inside the industries AI is very useful.
Crypto has a very real niche use for money laundering that it does exceptionally well.
AI does not appear to do anything significantly more effectively than a Google search circa 2018.
But neither can justify a multi billion dollar market cap on these terms.
Voice actors simply don’t cost that much money. Procedural world building has existed for decades, but it’s generally recognized as lackluster beside bespoke design and development.
These tools let you build bad digital experiences quickly.
For logistics and finance, a lot of what you’re exploring is solved with the technology that underpins AI (modern graph theory). But LLMs don’t get you that. They’re an extraneous layer that takes enormous resources to compile and offers very little new value.
I disagree, there are loads of white papers detailing applications of AI in various industries, here’s an example, cba googling more links for you.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577280/
And loads more of its ineffectual nature and wastefulness.
Are you talking specifically about LLMs or Neural Network style AI in general? Super computers have been doing this sort of stuff for decades without much problem, and tbh the main issue is on training for LLMs inference is pretty computationally cheap
Idk if I’d point at a supercomputer system and suggest it was constructed “without much problem”. Cray has significantly lagged the computer market as a whole.
Again, I would not consider anything in the LLM marketplace particularly cheap. Seems like they’re losing money rapidly.
The funny thing about Amazon, is we are phasing it out of our home now. Because it has become an online 7Eleven. You don’t pay for shipping and it comes fast, but you are often paying 50-100% more for everything. If you use AliExpress, 300-400% more… just to get it a week or two faster. I would rather go to local retailers that are increasing Chinese goods for a 150% profit, than Amazon and pay 300%. It just means I have to leave the house for 30 minutes.
A lot of the local retailors are going out of business in my area. And those that exist are impossible to get into and out of, due to the fixation on car culture. The Galleria is just a traffic jam that spans multiple city blocks.
The thing that keeps me at Amazon, rather than Target, is purely the time visit of shopping versus shipping.
Google Search is such an important facet for Alphabet that they must invest as many billions as they can to lead the new generative-AI search. IMO for Google it’s more than just a growth opportunity, it’s a necessity.
I guess I don’t really see why generative AI is a necessity for a search engine? It doesn’t really help me find information any faster than a Wikipedia summary, and is less reliable.
So far…
Obviously still has fair share of dumb stuff happening with these systems today, but there have been some big steps in just the last few years. Wouldn’t be surprised if it was much spookier a decade from now.
In general, good to use as a tool to be taken with grain of salt and further review.
Removed by mod