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Your AI Gets It Wrong And You Sign For It

๐‘๐จ๐›๐จ๐ญ๐ฌ ๐œ๐š๐ง ๐ฉ๐ก๐ฒ๐ฌ๐ข๐œ๐š๐ฅ๐ฅ๐ฒ ๐๐จ ๐š๐›๐จ๐ฎ๐ญ ๐Ÿ•๐Ÿ’% ๐จ๐Ÿ ๐ญ๐ก๐ž ๐ญ๐š๐ฌ๐ค๐ฌ ๐ข๐ง ๐€๐ฆ๐ž๐ซ๐ข๐œ๐š๐ง ๐ฃ๐จ๐›๐ฌ. ๐ˆ๐ญ ๐ข๐ฌ ๐ฐ๐จ๐ซ๐ญ๐ก ๐๐จ๐ข๐ง๐  ๐Ÿ๐จ๐ซ ๐ŸŽ.๐Ÿ‘% ๐จ๐Ÿ ๐ญ๐ก๐ž๐ฆ. ๐Ÿ˜ณ

Both numbers come out of the same research. The distance between what a machine can do and what it makes sense to employ it for is enormous, and almost every argument about this ignores the second figure.

This week on ๐“๐ก๐ž ๐€๐ˆ ๐๐ซ๐ž๐š๐ค๐๐จ๐ฐ๐ง, we close the theme:

๐–๐ก๐š๐ญ ๐ก๐š๐ฉ๐ฉ๐ž๐ง๐ฌ ๐ฐ๐ก๐ž๐ง ๐š๐ง ๐’๐Œ๐ ๐๐จ๐ž๐ฌ๐ง'๐ญ ๐ฃ๐ฎ๐ฌ๐ญ ๐ฎ๐ฌ๐ž ๐€๐ˆ, ๐›๐ฎ๐ญ ๐ฌ๐ญ๐š๐ซ๐ญ๐ฌ ๐ž๐ฆ๐ฉ๐ฅ๐จ๐ฒ๐ข๐ง๐  ๐ข๐ญ?

Which ends where it had to end. When the thing you employed gets something badly wrong, whose name is on it.

Inside the episode:

๐Ÿ”ด A finished model scrapped on safetyโ€ฆ

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