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Ethan Mollick
Playing with the new mystery "nano-banana" image generation model: "a photo where a woman with a pink mask covering just the left side of her face, and the right side is painted green, she is wearing a duck costume, but the feet are muddy. she stands next to a golden retriever with a remote control in its mouth, they stand in front of an abandoned space shuttle, a small fire burns in a blue vase in the lower left. the moon is reflected in a pond in the lower right, yet the sky is cloudy"



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I keep seeing this paper (and the others like it) being misinterpreted. This is a measure of AI applicability, not job loss. That might mean the jobs are at risk, but it also can be the jobs that will be most benefitted by using AI, or those that will be most transformed by it.

unusual_whales18.8. klo 02.01
Microsoft, $MSFT, has said that these are the 40 jobs most at risk by AI

40,45K
Bing hung up on me all the time in 2023 if I antagonized it too much.


Anthropic16.8. klo 03.41
As part of our exploratory work on potential model welfare, we recently gave Claude Opus 4 and 4.1 the ability to end a rare subset of conversations on .

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Increasingly, the findings of controlled experiments go much further: doctors with off-the-shelf AI outperform those without in diagnostics… but AI alone outperforms doctors.
Harder to know what to do with that. What systems or interfaces will result in better human-AI teams?




Aaron Levie17.8. klo 01.03
Almost every study shows doctors with AI perform better than those without. Now AI is achieving perfect scores in medical licensing exams. You will simply expect every professional services provider you go to will use AI in the future or you won’t trust the advice.
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