A look at “tokenmaxxing”, a status game where employees at a number of companies compete on leaderboards to show how much AI they're using
An engineer at OpenAI processed 210 billion “tokens” — enough text to fill Wikipedia 33 times — through the company's artificial intelligence models …
New York Times Kevin Roose
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Discussion
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@kevinroose
Kevin Roose
on x
One OpenAI employee used 210 billion tokens *last week*. A single Claude Code user spent $150,000 in a month. Meta, Shopify and other companies now factor token use into performance reviews. Are you tokenmaxxing, anon? [image]
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@kevinroose
Kevin Roose
on x
Talking to tokenmaxxers for this column gave me a strong suspicion that AI providers are going to be compute-constrained for the foreseeable future. There isn't nearly enough compute in the world for even 1% of white-collar workers to work this way.
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@krisarmstrong1
Kris Armstrong
on bluesky
Cool. A new metric I can use to impress leadership. [embedded post]
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@davidhiggins
David Higgins
on bluesky
I don't know if this is the worst timeline, but it has to be the stupidest. [embedded post]
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r/bayarea
r
on reddit
More! More! More! Tech Workers Max Out Their A.I. Use.
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@carnage4life
Dare Obasanjo
on bluesky
Goodhart's law state when a metric becomes the target, it stops being a useful metric. — That's what AI token leaderboards are. They push tech workers to burn thousands a month competing on AI usage consumption. — It's nonsense, like judging salespeople by number of customer…