XLE
Per-token costs are down, but you need more tokens; overall costs are up.
Imagine having tech employees beg their employers for a work computer. That's basically what this article is suggesting.
I see a big silver lining on this cloud though: unlike a work computer, apparently AI subscriptions are not self-evidently worth having:
"It is starting to happen," Tunguz told me, as employee use of AI increasingly contributes to total cash burn. "It is a consideration for the Office of the CFO."
I came into this article skeptical about the software origins of the surveillance apparatus. After all, every American Flock camera probably has "made in China" stamped on its plastic somewhere.
But the article points to a study that has an answer: it's probably Huawei's solution, which is end-to-end and optionally GDPR-compliant. But one very short rabbit hole later (Huawei):
Nowhere to hide: Building safe cities with technology enablers and AI
It goes on to positively reference the state surveillance apparatuses in Person of Interest and Mission Impossible, and praise the power of distilling data with AI. It is dysyopian beyond belief.
The same study mentions other companies are also jockeying for the contracts, with South Korea being the second most successful (it secured contracts in 5 of the 11 countries with China-based solutions). Also mentioned are the UAE (2 countries), USA (1), and Israel (1).
According to an early reviewer, the Neo is surprisingly good in terms of hardware quality, and it actually handles typical usage just fine, possibly because of the Silicon ecosystem that Apple spent so long refining. That looks promising, but I share much of your skepticism for the reasons you give.
Are these guys part of that litigious pseudo-cult? The one whose founder sued his own mother for talking about the extremist elements?
Apparently there was a disavowal based on legal threats, but that doesn't mean much considering they seem to speak only in lawsuit
one in five CEOs said they expect to make job cuts this year, though only 9% of those said they expect the layoffs to be the result of AI adoption.
An actual number. Nice to see a little honesty.
That figure seems optimistically low, given the role the technology has played in job cuts at...
Here we go.
Block
A company owned by a cryptocurrency and "current thing" enthusiast Jack Dorsey
Meta
Literally an AI company
Amazon
Pinterest,Autodesk, and many others.
Yeah sure
The two chatbots that managed to refuse the requests look good... until you realize one of them, at the bidding of the Pentagon and the express blessing of its CEO, arranged a bombing of elementary school children.
The lesser known, far less sexy, second step of enshittification. But at this point, it's hard to imagine anybody using Facebook for advertising... except maybe to a local, older demographic.
AI aside, what a terrible name. They just stole Claude Cowork's name, and called theirs Copilot Cowork.
Seriously? That's the best they can do?
Microsoft collaborated with Anthropic on the development of Copilot Cowork, another sign of divergence from its partnership with OpenAI.
That explains why they aren't getting sued, but the name still sucks. And speaking of OpenAI...
"Copilot, though backed by OpenAI’s models, consistently underperforms ChatGPT and ChatGPT Enterprise"
I thought Microsoft basically had OpenAI under their thumb. Why subpar? (Apparently things changed late last year.)
The biggest "no shit" comment was @Wammityblam@lemmy.world's brave "As a man, I'll get flak for this, but Uber's PR piece is good and woke" one. Meanwhile, the reason Uber has these problems remains unaddressed.
But I guess Uber is the Woke Women Loving Hero of the Day, huh.
(You didn't happen to enjoy the No Shit Rainbow Company Good comment, and get soured by people pointing out this'll actually hurt minorities, did you?)
1981 was the year of the IBM PC, which was produced for 6 years and became a staple in the business world. Third-party software became widely available within a year. They were famous for the quality of the documentation.
Basically the opposite is true for AI's flagship LLMs, for every one of rise things. The creators are unable to make money, investors are getting nervous, their functionality is poorly explained to businesses, the list goes on.