Then it didn’t make 13 billion….. and it didn’t lose 21 billion.
It lost 8 billion. That’s how math works.
this post was submitted on 18 Jun 2026
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You're not wrong, but neither is the title. That's just how business accounting works. Ultimately, it's still the same conclusion ($8 billion loss)
So they lost $8b.
Altman is such a miserable cunt.
he pretty much is created by thiel, so yes he is. since ALtman met his husband at one of thiels "pool" parties. just like how he plucked vance out of obscurity from yale. he does love his gay puppets.
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Looks like the shovel seller is making quite a bit
Indeed, they're the only ones. Along with Samsung, SK Hynix, AMD, etc.
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This is interesting. Nvidia cashing in while they can. They'll come back to us consumers when/if all this AI stuff collapses.
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Wow, I like that "spent since page load".
I want a ticker like that "Lemmy pages since bong load".
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"So what did you do with the $100,000?"
"I invested it and turned it into sixteen THOUSAND dollars. "
OpenAI:
"I DON'T NEED MONEY! I DON'T EVEN LIKE IT! I JUST WANNA THROW IT AWWWAAAAAAY!!"
im betting sam altman asked claude instead of CHAPGPT to how much to invest and where.
First thing I thought of lmao.
Do you know how to make a small fortune with AI?
First, start with a big fortune...
That's a weird way of saying that they had a net loss of $8 billion. Are you trying to imply that this is somehow extraordinary for a growth company? How do you figure that?
Bah that's baby numbers compared to what "private space" will accomplish!
Vibe stocks
Yep, defo not a bubble.
This is what you call a succesful business man /s
If someone gave me 21billion I bet I could only lose 1 billion, return the 20, and never be seen again.
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What's their op ex though? I feel like there must be a sizable portion of that which isn't actually necessary to keep the service up.
So the the operating expense was greater than their revenue from operations by about 2, but it seems like they’re minimizing it by hiding the cost of some of the compute inside marketing and training costs. This is something that a few AI companies in China have been caught doing to make it seem like they’re doing better than they are. So they could be incinerating money at an even faster rate than they just admitted.
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