391–400 of 1001 posts
Is there actually a thing or product here they're talking about / they made / making?
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Just to stem pointless debates before they flame up - both these acquisitions appear to be primarily if not exclusively for stock. Sure, if you want to get into theoretical finance, OpenAI could have sold these new shares for cash, so technically there's no difference, but OpenAI is only spending opportunity cost cash, rather than fiat. OpenAI's fiat likely still goes to the things you'd expect, like training models…
The AI hype seems driven more by stock valuations than genuine productivity gains. Developers now spend excessive time crafting prompts and managing AI generated pull requests :-) tasks that a simple email to a junior coder could have handled efficiently. We need a study that shows the lost productivity. When CEOs aggressively promote such tech solutions, it signals we're deep into bubble territory: “If you go forwar…
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Apple is failing horrible at “AI” currently but I don’t see what the big deal with Jony Ive is in 2025. He had a massive (if not single-handed) impact on some of the _worst_ hardware Apple has ever shipped, thinner, thinner, thinner to the product’s detriment and butterfly keyboards. I lay that all at Ive’s feet.
you must really have an axe to grind, you've commented three times on the same article with how much you hate ive. you're right his later work was a little frustrating, but he's also the same guy who brought you the ipod, the iphone, the ipad, the apple watch, and airpods. maybe he's not batting 1000 but the level of vitriol here is striking.
Below is wild speculation: > Five years to the week after he walked away from the top job designing the iPhone [1] Sounds to me like OpenAI is going to make it's own consumer device. Maybe designed by the AI itself. The AI Is choosing it's own body? [1]: https://archive.is/yixNr#selection-615.0-615.81 "After Apple, Jony Ive Is Building an Empire of His Own" - NYT
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55 engineers and the opportunity to be associated with Apple products via Jony Ive. Honestly with OpenAI buying Windsurf, and now this (whatever this is) I'd say that the company is in trouble and is now desperately attempting to buy it's way into relevancy. Either OpenAI wants to become a developer tools company (which can't be that profitable), or a consumer goods company. Trying to become the next Apple is really…
I honestly think that Google is going to be the long term winner. They were behind at first, but now their models are the state of the art, and cheaper, and crucially Google as a whole makes enough money to float the business.
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Because it sounds like the CEO of OpenAI wants to use investor's money to buy his other company. Too bad we can't short it or otherwise stop it, because investment for the things we could start will dry up once the world figures this out. We're all correlated to companies like FTX whether we like them or not...
There should be a way to reverse valuate a company based on how much of its stock it used to acquire a company worth (500,000,000 dollars of) peanuts
> In the interview, Altman said Jobs would be “damn proud” of Ive’s latest move. What an extremely weird (and egotistical) thing to say if you're in Altman's position
It’s mind boggling how much money is floating around once you are part of the insider circle. What has that company been doing to be worth 6.5 billion?
These product-focused moves feel like a tacit admission that AGI is further away than they’ve been preaching. If it was close at hand, spending precious resources on anything other than pursuing AGI wouldn’t make sense.
Does anyone seriously think we're anywhere close to AGI with LLMs? I know CEOs like to say things to blow smoke up investors asses, but does anyone with actual credibility think that?
That being said, the "apps" that use LLMs coming out now are good. Not AGI good, but they do things, will be disruptive and have value.
And the money coming it could lead to new techniques and eventual AI. For now though, it looks like AI is transitioning into products and figuring out how to lower inference costs.