I’d be curious to see the breakdown on spending by use case. I’ve heard it said that the majority of tokenmaxing comes from none technical uses like reading PDFs, creating PowerPoints, generating graphics/images… ect. But I’ve never heard any actual proof to that.
Meta caps internal AI token spending
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Re: Meta caps internal AI token spending
#42That is insane. I'm sure companies will learn the absolute wrong lesson from this, and attempt to centralize and kneecap token usage.
Re: Meta caps internal AI token spending
#43"The leaderboard, which ranked employees and teams by token consumption, inadvertently incentivized usage volume over productive output." Who could possibly have predicted that happening?
people who make it to managers tend to have bozo tendencies & are yes men.
before it was lines of code, Jira tickets closed. Now it's tokens spent.
Re: Meta caps internal AI token spending
#44All those billions spent on tokens by Meta, and not a single iota of value generated by any of it
Re: Meta caps internal AI token spending
#45measure outcomes (impact), not effort (token usage, lines of code, code coverage, hours worked, etc.)
This is also not easy. In particular proactively preventing bugs is not rewarded
Re: Meta caps internal AI token spending
#46I’d be curious to see the breakdown on spending by use case. I’ve heard it said that the majority of tokenmaxing comes from none technical uses like reading PDFs, creating PowerPoints, generating graphics/images… ect. But I’ve never heard any actual proof to that.
Re: Meta caps internal AI token spending
#47"The leaderboard, which ranked employees and teams by token consumption, inadvertently incentivized usage volume over productive output." Who could possibly have predicted that happening?
Everyone except the executives who get paid millions to predict exactly that.
Re: Meta caps internal AI token spending
#48I could believe it, but I'd want to see something a little more concrete.
Re: Meta caps internal AI token spending
#49Re: Meta caps internal AI token spending
#50"The leaderboard, which ranked employees and teams by token consumption, inadvertently incentivized usage volume over productive output." Who could possibly have predicted that happening?