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Ethan Mollick Shares Anthropic Data on AI’s Potential Impact Across the Sciences
- Who
- Ethan Mollick
- What
- highlights Anthropic data estimating how much researcher time AI could take on across scientific fields
What happened
Ethan Mollick shares Anthropic data estimating that, with current capabilities and widespread adoption, AI could take on 27–52% of the researcher time needed to produce a new study. The median estimate across fields is 38%. He links to the source.
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See the full storyEthan Mollick Shares Anthropic Estimate of AI’s Potential Role in Scientific ResearchSome new data from Anthropic looking at the impact of AI on the sciences by field: "With current capabilities, if adopted widely, AI could take on 27–52% of the researcher time needed to produce a new study, with a median of 38% across fields..."
Here: https://t.co/1FOHn2l5Xr https://t.co/YCb48MWo4H
The story so far
Ethan Mollick shared Anthropic data estimating that, with current AI capabilities and widespread adoption, AI could take on 27–52% of the researcher time needed to produce a new study; the median estimate across scientific fields is 38%. He linked to the source.
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