You mean when the board of directors wanted to fire him? Considering the recent news of OpenAI transitioning towards for profit i think they got what they wanted from keeping him in charge. Seems like something Microsoft would benefit from and if they’d have gotten a different CEO at the time who knows if it had come to this point.
The alternative was ceding it to the people that are True Belivers iirc? Say what you will about Sammy boi, I’m pretty sure at least he doesn’t fucking believe in the lies he says, something that cannot be said about Ilya or some other (former) high profile people there.
Point well made. Engineers, however quantitative they may be, are not often finance people. If the true believers were left in charge, they’d probably bankrupt promises much more rapidly, and auger the whole enterprise into the ground that much quicker. I can’t see that Altman is actually that great a finance guy either, at least in stewardship of other people’s money, but he has cultivated the ability to manipulate cash out of people and institutions during this grift-dominant era of Silicon Valley.
How do you profit of a company that hemorrhages a few billion a year?
Even Amazon had AWS, which was the absurdly profitable core business at the center of a cost bleeding distribution center.
OpenAI is doing nothing to generate economic value.
How do you profit of a company that hemorrhages a few billion a year?
While it runs a deficit you don’t or at least only through increased valuations, which ofc assume that you’ll eventually be able to turn a profit. Will this ever happen for OpenAI, i have no idea, but that is the bet. And for the likes of Microsoft spending a few billions on bets like this isn’t that big of a deal, just look at how much Meta burns in their VR department.
Even Amazon had AWS, which was the absurdly profitable core business at the center of a cost bleeding distribution center.
Uber was running a deficit for a long time until it turned profitable. It’s pretty normal for many new companies to burn money first before they turn a profit. The biggest cost seems to be training new models constantly, and i assume one hope is that eventually this slows down. Then they need to get operating costs down that where i think they currently roughly break even (?) or maybe run a minor loss, but that seems doable, considering the pace at which hardware is still improving.
OpenAI is doing nothing to generate economic value.
I wouldn’t say that it is nothing, but at this very moment it probably doesn’t equal the immense amount of resources poured into it. That said, if things improve both in terms of the quality of responses you can get from models as well as reduced costs to run them, then there is definitely huge economic potential.
Will this ever happen for OpenAI, i have no idea, but that is the bet.
More than a bet. It’s an engineered outcome, as Microsoft tries to force people into their AI walled garden.
Only question is how many people go along for the ride.
Uber was running a deficit for a long time until it turned profitable.
Uber is a great example of negative externalities, as the average Uber driver doesn’t earn money once you depreciate the value of the car being used.
That said, if things improve both in terms of the quality of responses you can get from models as well as reduced costs to run them, then there is definitely huge economic potential.
The line I’ve seen on AI boils down to this. AI won’t meet human economic potential. But it will run cheaper, which means paper growth, which means the investment is “worth it” at an industry level.
But at a macro level? Economy wide? Big Number may go up, but real productivity is going to slide the more AI attempts to replace human labor.
That said, if things improve both in terms of the quality of responses you can get from models as well as reduced costs to run them, then there is definitely huge economic potential.
lmao, yeah if it worked it’d be impressive, but it hasn’t, it doesn’t, and it won’t ever because it fundamentally can’t.
Uber ran at a loss to undercut the competition (traditional taxis) and passed the costs of that onto the drivers. Then once people were onboard they increased prices while hanging the drivers out to dry, to the point where ultimately the consumer pays as much as they did for a normal taxi but there’s some ease-of-use improvements from the app, a hell of a lot of money ending up in silicon valley instead of local taxi companies, and an ever-growing mass of human suffering as the gig economy erodes the ability of the working class to find economic security.
