Interesting post by Jessica Hullman. In a future where autonomous research is possible at scale, one can imagine companies building their own bodies of scientific knowledge and not sharing it. Unlike human scientists, AI scientists are not motivated to share their work.
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Paying peer reviewers works.
Expanded Fast & Fair experiment @biologyopen.bsky.social:
• 5.5 vs 37.7 working days to decision with reviews
• ~3 vs ~9 reviewer invitations per manuscript
• no reduction in editor-assessed review quality
• similar acceptance rates
www.biorxiv.org/content/10.6...
ArXiV has a new LLM policy
(Screenshots with alt text so you don’t have to click through to the other place and see all the stupid responses)
Had a great conversation today with @jortscity.bsky.social @wesleyfinck.org about the attention economy and how we can connect personal tools for thought like @obsidian.md into tools for collective thought with @semble.so and #atproto
"seize the means of sensemaking"
#ATProtoScience tools can enable sensemaking and maybe some nerdy jobs in the near future:
"Similar to how social media made influencers... maybe there'll be influencers [as scholarly] sensemakers... [attendee: high need for cognition people]..."
Yep, that's my dream job, @ronentk.me