- billwashere@lemmy.worldEnglish11 days
Then it didn’t make 13 billion…… and it didn’t lose 21 billion.
It lost 8 billion. That’s how math works.
artyom@piefed.socialEnglish
13 daysIndeed, they’re the only ones. Along with Samsung, SK Hynix, AMD, etc.
- mojo_raisin@lemmy.worldEnglish12 days
Wow, I like that “spent since page load”.
I want a ticker like that “Lemmy pages since bong load”.
earthworm@sh.itjust.worksEnglish
12 days“So what did you do with the $100,000?”
"I invested it and turned it into sixteen THOUSAND dollars. "
- Earthman_Jim@lemmy.zipEnglish11 days
OpenAI:
“I DON’T NEED MONEY! I DON’T EVEN LIKE IT! I JUST WANNA THROW IT AWWWAAAAAAY!!”
- masterspace@lemmy.caEnglish12 days
I have no love for AI but I feel like the people clowning on this don’t understand the most basic aspects of how businesses work.
It is very common to take losses early on and return a profit later.
- Cherries@lemmy.worldEnglish11 days
There is no use case for chat boxes. Uber was losing money, but it was driving people to places. Amazon was losing money, but it was delivering books to people. Chat boxes don’t do shit.
Uber would have failed if their cars just drove in circles. Amazon would have failed if they didn’t deliver anything. There is no real use case for this tech, just like with scam coins or monkey pictures, this is tech searching for a problem to solve.
The most foundational aspect of business is that you gotta do something to get money. What exactly have these chat boxes produced? Shitty porn and incorrect advice. If that’s the best they’ve got after consuming the entirety of human knowledge and guzzling an ocean of freshwater, this shit ain’t going nowhere.
- masterspace@lemmy.caEnglish10 days
You need to actually use it and understand what it does before you clown on.
Try vibe coding a hello world project with the Opus models and Claude code. It’s not perfect by any stretch, but to argue it has no use case is absurd.
- teyrnon@sh.itjust.worksEnglish12 days
Gtfo, there is no way llm companies make their money back legitimately and we all know it. No, it’s not “common” for companies to spend tens of billions to build infrastructrure that won’t pay for itself.
Those of us in reality know they will get bailed out by the government in exchange for fucking us even more than already.
- NιƙƙιDιɱҽʂ@lemmy.worldEnglish12 days
YouTube would lose a billion annually early on as they expanded infrastructure to keep up with massive demand 🤷♀️
They figured it out eventually, all they had to do was enshittify everything.
- teyrnon@sh.itjust.worksEnglish12 days
That is entirely different from llm models. People like youtube, it has utility. Llm models don’t have enough utility to pay for their data centers and we all know it. Why are you simping for them? You believe their hype? That discredits you.
- masterspace@lemmy.caEnglish11 days
Lmfao, look at this righteous edge lord.
Who needs to think things through, when you can just condemn someone who says anything “black” when you’re on team “white”.
- DeadDigger@lemmy.zipEnglish11 days
Well what I currently don’t understand is what is the industry use case. From the numbers alone you would need to spend double the current tokens cost, which is already very high. Every industry partner I talked to said they don’t have valid use cases for ai
- masterspace@lemmy.caEnglish10 days
I mean, no software developer is going to go back to completely not using LLMs after Claude Code.



