Most companies are still piggybacking off of big tech because of the scale of LLMs. If big tech companies are having problems then everyone else will sooner or later. The more simple ones can probably be done on worse machines but not all and certainly not something on the scale of ChatGPT
They’re “piggybacking off of big tech” the way every company that uses PowerPoint does
I’m sorry man but this comment just laughs in the face of reality. The use of AI across the board is skyrocketing.
I no longer need a video team, or to outsource video content creation, because of a tool we get for $20/month. This is the tiniest fraction of the currebtly-deployed impact.
My last company implemented AI-run workforce planning, AI-enabled call monitoring that cut out QA team more than in half, and AI chat systems that freed up 80% of our chat team to transition to Live.
That’s 2 companies. There are hundreds of AI products out there. AI will be everywhere in less than a decade.
You didn’t even bother reading it. This isn’t counting investment, it’s straight up losing money right now, not counting investment. Microsoft’s customer model charges $10 a month/user to use it and it’s turned out to cost $30 a month/user. The other big firms are seeing similar costs.
These LLM require huge amounts of processing, then when your users are spending resources to do very simple tasks, which is basically all the models are useful for right now, it costs a stupid amount of money to do stupid things.
This is not to say that it cant be useful in the future, or smaller purpose built models can’t be useful. But these vast generic models literally hemorrhage money as it stands.
Some features are meant to drive engagement, not revenue. Some products are sold at a loss to drive engagement. This article is a very simplistic view of how technology has always worked for a product in it’s infancy.
I mean it’s already impacted our economy, a lot of businesses have hemorrhaged money on it: https://siliconangle.com/2023/10/09/report-big-tech-firms-still-struggling-monetize-generative-ai-services/
A lot more companies are making and saving quite a lot of money because of it
People downplaying the value of AI are like people in 1993 talking about how the Internet is just a playground for nerds.
Most companies are still piggybacking off of big tech because of the scale of LLMs. If big tech companies are having problems then everyone else will sooner or later. The more simple ones can probably be done on worse machines but not all and certainly not something on the scale of ChatGPT
They’re “piggybacking off of big tech” the way every company that uses PowerPoint does
I’m sorry man but this comment just laughs in the face of reality. The use of AI across the board is skyrocketing.
I no longer need a video team, or to outsource video content creation, because of a tool we get for $20/month. This is the tiniest fraction of the currebtly-deployed impact.
My last company implemented AI-run workforce planning, AI-enabled call monitoring that cut out QA team more than in half, and AI chat systems that freed up 80% of our chat team to transition to Live.
That’s 2 companies. There are hundreds of AI products out there. AI will be everywhere in less than a decade.
Are you running your PowerPoint directly off of Azure? You must be having the most greatest slideshow on earth then.
Your disingenuous post aside, I kind of do, yeah
Not disproving the AI will kill too many jobs alegation.
Ah yes, the trend of every new technological development ever. Apparently investment is “hemorrhaged money” until it’s profitable.
You didn’t even bother reading it. This isn’t counting investment, it’s straight up losing money right now, not counting investment. Microsoft’s customer model charges $10 a month/user to use it and it’s turned out to cost $30 a month/user. The other big firms are seeing similar costs.
These LLM require huge amounts of processing, then when your users are spending resources to do very simple tasks, which is basically all the models are useful for right now, it costs a stupid amount of money to do stupid things.
This is not to say that it cant be useful in the future, or smaller purpose built models can’t be useful. But these vast generic models literally hemorrhage money as it stands.
Some features are meant to drive engagement, not revenue. Some products are sold at a loss to drive engagement. This article is a very simplistic view of how technology has always worked for a product in it’s infancy.