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The token bill comes due: Inside the industry scramble to manage AIโs runaway costs
"The whole conversation shifted from tokenmaxxing and 'go fast' to 'we need guardrails, how do we control this?'"
๐บ๐ธ ๋ฏธ๊ตญ ยท IT/๊ธฐ์ ยท "MAX" ยท ์ด 23๊ฑด
ํํฐ ๋ณด๊ธฐํ์ฌ ์ง์
50.0
0 = ๋ถ์ ์ฐ์ธ
50 = ์ค๋ฆฝ
100 = ๊ธ์ ์ฐ์ธ
์ต๊ทผ 7์ผ ๊ธฐ์ค 12,235๊ฑด์ ๋ถ์ํ ๊ฒฐ๊ณผ, ๋ด์ค ์ฌ๋ฆฌ์ง์๋ 50.0(๊ท ํ)์ ๋๋ค. ๊ธ์ 1๊ฑด(0.0%)ยท์ค๋ฆฝ 12,233๊ฑด(100.0%)ยท๋ถ์ 1๊ฑด(0.0%)์ด๋ฉฐ, ์ค๋ฆฝ ๋น์ค์ด ๋๋ ทํ๊ฒ ๋์ต๋๋ค. ์ฑํฅ ์ง์๋ ์ข ํฉ 19.5(์ค๋ ๊ท ํ)์ ๋๋ค.
"The whole conversation shifted from tokenmaxxing and 'go fast' to 'we need guardrails, how do we control this?'"
"We try to make sure that what we track is an outcome, not a vanity metric," he added, BNP Paribas CIB's AI chief Charles Holive said.
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Ravi Kumar S., CEO of $27 billion IT firm Cognizant, says AI wonโt kill entry-level jobsโand companies obsessed with tokens are measuring the wrong thing.
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Amazon and Uber recalibrate AI usage as tokenmaxxing, a trend of excessive AI use, sparks debate on productivity and cost efficiency.
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Token usage is a poor proxy for firm-wide productivity gains. Those only come with workflow redesign.
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Operations chief Andrew Macdonald said he's not seeing proportional productivity gains from increasing AI costs within Uber.
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