1104
you are viewing a single comment's thread
view the rest of the comments
[-] SocialMediaRefugee@lemmy.world 192 points 21 hours ago
  1. Build up reliance on AI, which looks really cheap
  2. You can now replace employees with AI so fire away!
  3. You are now completely dependent on AI and a handful of employees
  4. AI company sees they have you and start jacking up rates. If you could afford paying for people before then you have the $ to pay high rates.
  5. Company now wonders why costs are back to where they were before and the AI isn't working out as expected.
[-] Xerxos@lemmy.ml 1 points 6 hours ago

Have you heard about "Tokenmaxxing"?

Since many AI companies didn't have a reasonable limit on the number of tokens for the amount of money you paid, companies started telling their employees to use as many tokens as possible. LLMs improve with more tokens (although there are diminishing returns).

So users tried to exploit the 'lure offer', and AI companies had to change the billing. It's still below the real cost, but no longer this insanely expensive option.

[-] TerdFerguson@lemmy.ca 17 points 14 hours ago
  1. AI company hijacks your processes, trade secrets, and market to offer the same thing for cheaper than you can. Raises rates for competitors to cover its own token use and simultaneously drive the others out of business.
[-] monotremata@lemmy.ca 146 points 21 hours ago

It's particularly funny because I'm pretty sure AI companies are still selling the service below cost to try to retain market share (and drive small competitors out of business). They just aren't taking quite as big a loss on every token with the increased prices.

[-] SocialMediaRefugee@lemmy.world 24 points 19 hours ago

Pretty much the model for so many internet services or streaming services.

[-] monotremata@lemmy.ca 6 points 16 hours ago

Yeah. It certainly pays off sometimes. Amazon did it. It just, y'know, also crashes and burns sometimes, and I'm not sanguine about the way this is shifting its investment money from venture capitalists to, y'know, passive index fund investors.

[-] LodeMike@lemmy.today 1 points 20 hours ago* (last edited 20 hours ago)

So, they're earning money on token generation but not overall (including training)?

[-] DeadDigger@lemmy.zip 29 points 20 hours ago

Openai had 2025 6billion in revenue and 20 billion costs on compute. So just to run the models to get 6billion they need to pay 20billion r&d and marketing etc get on top of that

[-] Pacattack57@lemmy.world 12 points 19 hours ago

I’m sure there’s a term for it but this is like when a company keeps securing funding from investors so they keep growing to try to outpace costs with the illusion that you’re profitable when in reality you’re not. Just like WeWork.

[-] EpeeGnome@feddit.online 11 points 19 hours ago

It's just a Ponzi scheme with extra steps.

[-] darvit@lemmy.darvit.nl 9 points 19 hours ago
[-] MasterBlaster@lemmy.world 3 points 16 hours ago

Private credit. Get ready for the tsunami.

[-] monotremata@lemmy.ca 7 points 16 hours ago

No, my understanding is that they're bringing in revenue on token generation, but it's exceeded by the costs of token generation (running data centers, so, electricity and cooling). They definitely want to make a profit on token generation, but they're afraid that raising costs that high too quickly would drive customers to switch to other providers. So they've reduced the amount they're subsidizing token costs, but not switched over to making a profit.

I can't find a good citation for this, though, so it's possible I'm mistaken. They also have huge costs associated with buying new GPUs and building new datacenters, so they're operating at a massive loss either way, and it's a little hard to find articles which tease apart the two aspects.

In any case, operating at a massive loss for the first few years is practically standard operating procedure in silicon valley at this point, and sometimes it eventually leads to a profitable, even wildly profitable, business (e.g. Amazon). But it does require a steady stream of investors and a steadily increasing market valuation. That's...we'll have to see what happens on that front.

[-] deacon@lemmy.world 29 points 21 hours ago

Yeah it’s basically the enshitification model

[-] VindictiveJudge@lemmy.world 19 points 21 hours ago

With the quirk that the service was shit to begin with.

[-] deacon@lemmy.world 9 points 18 hours ago

Maybe but it’s like crack for CEOs

[-] ilinamorato@lemmy.world 4 points 20 hours ago

It's just newsworthy when it happens to companies.

[-] Batmorous@lemmy.world 8 points 19 hours ago
  1. They see people have gone to new companies thatre private unionized and value customers/employees/etc replacing them as they had done with their employees
  2. The company asks for them to come back to be laughed at as the people watch for them to slowly sink and be replaced with many better alternatives to take their place
  3. That is happening right now and we all can make it happen faster
[-] Pistachio@lemmy.zip 5 points 16 hours ago

Is this real life, or is it just fantasy?

[-] PalmTreeIsBestTree@lemmy.world 3 points 20 hours ago

It’s such a perfect grift

this post was submitted on 08 Jul 2026
1104 points (99.6% liked)

Technology

86160 readers
3854 users here now

This is a most excellent place for technology news and articles.


Our Rules


  1. Follow the lemmy.world rules.
  2. Only tech related news or articles.
  3. Be excellent to each other!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
  9. Check for duplicates before posting, duplicates may be removed
  10. Accounts 7 days and younger will have their posts automatically removed.

Approved Bots


founded 3 years ago
MODERATORS