The article already notes that
privacy-focused users who don’t want “AI” in their search are more likely to use DuckDuckGo
But the opposite is also true. Maybe it’s not 90% to 10% elsewhere, but I’d expect the same general imbalance because some people who would answer yes to ai in a survey on a search web site don’t go to search web sites in the first place. They go to ChatGPT or whatever.
The bubble thing is more the financial aspect. None of these AI companies are profitable and they also don’t have a clear path to profit. For some time the business plan of Open AI was literally develop advanced AI and then let the AI figure out how to make money. Yet, these companies attract huge amounts of investment and are responsible for basically all of the economic growth in the US.
Nobody thinks there are no uses at all for LLMs or image generation etc. or that people in general hate all AI. It’s a bubble because a lot of money is being invested in something that nobody managed to make profitable yet, so if the investment stops, then these companies will all implode.
A Chinese university trained GLM
A startup spun out by a university (z.ai). Their business model is similar to what everybody else does, they host their models and sell access while trying to undercut each other. And like others they raised billions in funding from investors to be able to do this.
But also they are just tuning and packaging a publicly available model, not creating their own.
So they can be profitable because the cost of creating that model isn’t factored in, and if people stop throwing money at LLMs and stop releasing models for free, there goes their business model. So this is not really sustainable either.
I mean if they came with a cool android body we could talk about it. It should at least be able to do cleaning and cooking. Otherwise my wife won’t like it.