Tokenmaxxing is entering its efficiency-maxxing era
Amazon and Uber recalibrate AI usage as tokenmaxxing, a trend of excessive AI use, sparks debate on productivity and cost efficiency.
๐บ๐ธ ๋ฏธ๊ตญ ยท IT/๊ธฐ์ ยท "EXCESSIVE" ยท ์ด 3๊ฑด
ํํฐ ๋ณด๊ธฐํ์ฌ ์ง์
50.0
0 = ๋ถ์ ์ฐ์ธ
50 = ์ค๋ฆฝ
100 = ๊ธ์ ์ฐ์ธ
์ต๊ทผ 7์ผ ๊ธฐ์ค 12,146๊ฑด์ ๋ถ์ํ ๊ฒฐ๊ณผ, ๋ด์ค ์ฌ๋ฆฌ์ง์๋ 50.0(๊ท ํ)์ ๋๋ค. ๊ธ์ 1๊ฑด(0.0%)ยท์ค๋ฆฝ 12,144๊ฑด(100.0%)ยท๋ถ์ 1๊ฑด(0.0%)์ด๋ฉฐ, ์ค๋ฆฝ ๋น์ค์ด ๋๋ ทํ๊ฒ ๋์ต๋๋ค. ์ฑํฅ ์ง์๋ ์ข ํฉ 19.3(์ค๋ ๊ท ํ)์ ๋๋ค.
Amazon and Uber recalibrate AI usage as tokenmaxxing, a trend of excessive AI use, sparks debate on productivity and cost efficiency.
Amazon nixed an employee-created AI leaderboard called "KiroRank" after concerns it encouraged excessive AI spending.
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