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AI Token Maxxing Failed at Uber - OpenAI is Dead

2026-05-27 Science & Technology
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Eli the Computer Guy
Eli the Computer Guy
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Spotify - https://open.spotify.com/show/1KkKuQe82tf1bW78ReQ0wM Apple Podcasts - https://podcasts.apple.com/us/podcast/eli-the-computer-guy/id1895967811 LinkedIn at - https://www.linkedin.com/in/eli-etherton-a15362211/

Top Comments (10)

@XashA12Musk 2026-05-27

They would spend money on these kind of blackholes, but never pay employees what they deserve

133 4 replies
@DavidLee-cr4xv 2026-05-27

The more token you burn, the more money you save! — Jensen Huang

114 7 replies
@ORA268P 2026-05-27

"Show me the incentive and I'll show you the outcome." - Charlie Munger

65 2 replies
@TruthNerds 2026-05-27

Executives: "We want you to burn as many tokens as possible." Employees: _burning as many tokens as possible_ Executives: _shocked Pikachu face_

45 1 replies
@iAmCymba 2026-05-27

They want a “do-everything” tool that is also the best at everything, and every time they find a better tool, they slowly find out that it’s only good at certain things.

44 4 replies
@osborne4282 2026-05-27

"tokenmaxxing" sounds like the company is on the last straw with these LLM providers and wants to push it to the maximum usage to see the full capabilities of the product before they make the final decision on whether they want to toss it or not.

43 2 replies
@khitomeraccord 2026-05-27

The executives that know what they're doing is a tiny minority. The psychopathic MBA's running today's businesses would bankrupt a lemonade stand.

26 2 replies
@LiquidAIWater 2026-05-27

Token maxing is the dumbest thing ever. It’s like a competition who could spend the most money to try to do their job rather than getting the most out of your work with least amount of money.

21
@CN3891 2026-05-27

This is the biggest misallocation of capital I’ve seen ever. Even tulips don’t compare. At least they’re nice to look at.

16
@Username65464 2026-05-27

The most unusual thing about this news is that an executive actually talked to engineering. At my company, they're in full on AI psychosis and are making extremely dangerous decisions (and public promises) without ever consulting us.

14 1 replies

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