Do people really not understand that we are in the early stages of ai development? The first time most people were made aware of LLMs was, like, 6 months ago. What ChatGPT can do is impressive for a self contained application, but is far from mature enough to do the things people are complaining it can’t do.
The point the industry is trying to warn about is that this technology is past its infancy and moving into, from a human comparison standpoint, childhood or adolescence. But, it iterates significantly faster than humans, so the time it can do the type of things people are bitching about is years, not decades, away.
If you think businesses have sunk this much money and effort into AI and didn’t do a cost-benefit analysis that stretched out decades, you are being naive or disingenuous.
If you think businesses have sunk this much money and effort into AI and didn’t do a cost-benefit analysis that stretched out decades, you are being naive or disingenuous.
Are you kidding? We literally just watched the same bubble and burst in companies that rushed to get their piece of the Metaverse and NFT cash grab. I worked at a SaaS company that decided to add AI features because it was in the news and Azure offered it as a service. There was zero financial analysis done, just like for every other feature they added
I’m sure Microsoft has a plan since they invested heavily. But even Google is playing catch-up like they did with GCP.
But there is a similarity, the hype pulls in all sorts of companies to blindly add buzzwords without even knowing how it might possibly apply to their product, even if it were the perfect realization of the ideal.
Yes AI techniques obviously have utility. 90% of the spend is by companies that don’t even know what that utility might be. With that much noise, it’s hard to keep track of the value.
But there is a similarity, the hype pulls in all sorts of companies to blindly add buzzwords without even knowing how it might possibly apply to their product
Yes, I see what you are saying. I guess we can add ‘blockchain’ to that list, then.
pretty much all improvements aren’t “better tech”, but just “bigger tech”. Reducing their footprint is an unsolved problem (just like it has always been with neural networks, for decades)
Seriously. It’s been barely a year since DALL-E was an eye-rolling pun with people going ‘ha ha avocado chair, that’s cute.’ Now you can ask Bing what it’d look like for Kobe Bryant to dunk on Wilt Chamberlain using St. Peter’s halo as the hoop, and it’ll return some buck-wild airbrushed illustration that belongs on a plastic school binder.
Is an infinite supply of Mad Magazine fold-ins an economy unto themselves? Nope. But right now, to-day, you can probably string together some models, feed in the Wikipedia description of a movie, and get out a mutated mess of frames vaguely approximating a dramatic trailer for a film that does not exist. A remake hallucinated by a few gigabytes of linear algebra, based on a plain-English summary of events.
When that goes from ‘ha ha pizza commercial’ to animating lost episodes of Doctor Who, that’s gonna be a big deal for Hollywood, in much the same way that refrigeration was a big deal for ice importers. The tech won’t happen immediately and the results won’t improve smoothly. It will catch most people by surprise… again. Especially the suits pouring money in and watching it take shape.
Their cost-benefit analysis includes firing the people who create stuff because any idiot can direct the machines. They cannot imagine how many idiots with machines are out there, and how much better fired creators will use them.
Do people really not understand that we are in the early stages of ai development? The first time most people were made aware of LLMs was, like, 6 months ago. What ChatGPT can do is impressive for a self contained application, but is far from mature enough to do the things people are complaining it can’t do.
The point the industry is trying to warn about is that this technology is past its infancy and moving into, from a human comparison standpoint, childhood or adolescence. But, it iterates significantly faster than humans, so the time it can do the type of things people are bitching about is years, not decades, away.
If you think businesses have sunk this much money and effort into AI and didn’t do a cost-benefit analysis that stretched out decades, you are being naive or disingenuous.
Are you kidding? We literally just watched the same bubble and burst in companies that rushed to get their piece of the Metaverse and NFT cash grab. I worked at a SaaS company that decided to add AI features because it was in the news and Azure offered it as a service. There was zero financial analysis done, just like for every other feature they added
I’m sure Microsoft has a plan since they invested heavily. But even Google is playing catch-up like they did with GCP.
AI is actually useful.
The metaverse and NFTs aren’t.
Your analogy is not a 1:1 representation of the situation and only serves to distract from the topic at hand.
But there is a similarity, the hype pulls in all sorts of companies to blindly add buzzwords without even knowing how it might possibly apply to their product, even if it were the perfect realization of the ideal.
Yes AI techniques obviously have utility. 90% of the spend is by companies that don’t even know what that utility might be. With that much noise, it’s hard to keep track of the value.
Yes, I see what you are saying. I guess we can add ‘blockchain’ to that list, then.
Yes. Top post in this thread is someone cheering that AI won’t replace people in hollywood.
Just give it time. Remember how poor voice recognition and translation software was at first?
I really like how I’m just “someone” here now.
To be fair, who pays attention to user names?
I do. 🥺
pretty much all improvements aren’t “better tech”, but just “bigger tech”. Reducing their footprint is an unsolved problem (just like it has always been with neural networks, for decades)
Optimization is a problem that cannot be “solved” by definition, but a lot of work is being done on it with some degree of success
Seriously. It’s been barely a year since DALL-E was an eye-rolling pun with people going ‘ha ha avocado chair, that’s cute.’ Now you can ask Bing what it’d look like for Kobe Bryant to dunk on Wilt Chamberlain using St. Peter’s halo as the hoop, and it’ll return some buck-wild airbrushed illustration that belongs on a plastic school binder.
Is an infinite supply of Mad Magazine fold-ins an economy unto themselves? Nope. But right now, to-day, you can probably string together some models, feed in the Wikipedia description of a movie, and get out a mutated mess of frames vaguely approximating a dramatic trailer for a film that does not exist. A remake hallucinated by a few gigabytes of linear algebra, based on a plain-English summary of events.
When that goes from ‘ha ha pizza commercial’ to animating lost episodes of Doctor Who, that’s gonna be a big deal for Hollywood, in much the same way that refrigeration was a big deal for ice importers. The tech won’t happen immediately and the results won’t improve smoothly. It will catch most people by surprise… again. Especially the suits pouring money in and watching it take shape.
Their cost-benefit analysis includes firing the people who create stuff because any idiot can direct the machines. They cannot imagine how many idiots with machines are out there, and how much better fired creators will use them.