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This joke is really old now.
And yes, even if such mistakes are funny at first glance, it doesn't change the fact that the field of AI has developed incredibly in the last year. And this development actually has the potential to completely change our economy. And not only that.
No, I'm not fun at parties.
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/
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.