this post was submitted on 29 Jun 2026
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[–] Photonic@lemmy.world 7 points 7 hours ago* (last edited 7 hours ago) (1 children)

“You load sixteen tons and what do you get?

Another day over and deeper in debt.”

[–] chris@lemmy.grey.fail 32 points 10 hours ago (1 children)

I thought the AI apocalypse would have more laser guns and robot skeletons. This poverty slow boil is so lame.

[–] PattyMcB@lemmy.world 1 points 1 hour ago

We need a giant meteor of pure potassium to strike the ocean!

[–] FiniteBanjo@feddit.online 27 points 11 hours ago (2 children)

Not a bet. The biggest players all know it's a scam. It isn't betting if you already know it will fail qnd you're still profiting in the meantime.

[–] Flower@sh.itjust.works 12 points 9 hours ago (1 children)

Seems they're betting on the government bailing them out, and buying their services for surveillance and military purposes.

[–] pulsewidth@lemmy.world 10 points 7 hours ago

I wonder who will be the first CEO to start applying the "too big to fail" statement openly to their business.

I'm betting on OpenAI as they're the ones with the most to lose. They have already been courting govt in investment heavily, including asking them to back loans up to nearly a trillion earlier this month, and an equity stake.

Literally the "most valuable companies in the world" asking for daddy taxpayer to lend then their credit card.

[–] sanitation@lemmy.today -2 points 6 hours ago (1 children)

I think they don't know yet.
Guys - recommend z.ai, kimi and deepseek and cancel openai /anthropic /gemini

[–] FiniteBanjo@feddit.online 1 points 40 minutes ago

In 2020 OpenAI published a paper on AI Scaling Laws which was supposed to show that the diminishing returns from training models on data can be alleviated by increasing model size at the expense of requiring more power and total compute time or in laymens terms "if the result is a 75% chance of being a thing, 4 attempts are more likely to guess it than one attempt".

What it unintentionally showed is that the returns from scaling models at optimal compute time each also diminishes.

Then DeepMind corrected their math in a followup study, illustrating that INFINITE compute time and data will never result in above 94% accuracy.

The AI companies know. They all know. They have always known.