//
sign in
Profile
by @danabra.mov
Profile
by @dansshadow.bsky.social
Profile
by @jimpick.com
AviHandle
by @danabra.mov
AviHandle
by @dansshadow.bsky.social
AviHandle
by @katherine.computer
EventsList
by @katherine.computer
ProfileHeader
by @dansshadow.bsky.social
ProfileHeader
by @danabra.mov
ProfileMedia
by @danabra.mov
ProfilePlays
by @danabra.mov
ProfilePosts
by @danabra.mov
ProfilePosts
by @dansshadow.bsky.social
ProfileReplies
by @danabra.mov
Record
by @atsui.org
Skircle
by @danabra.mov
StreamPlacePlaylist
by @katherine.computer
+ new component
ProfileReplies









Loading...
AI polytheism, ultra-malthusian state, Why Not Uber-Organisms, hyper-cooperators, the multicellular transition,... and yes, what's the basin of convergent evolution of human values. postagi.org/talks/millid... www.youtube.com/watch?v=ua67...
Beren Millidge is in ~top 5 people who's taste in questions I respect the most; this talk covers about 15 big ideas in half an hour, each of which would be sufficient as a topic for a pop-science book; highly recommended.
Unfortunately, a piece of practical advice in case you suspect some AI evaluation is going on: get your presentation adjusted by LLMs until they like it, while trying to not sacrifice human quality.
How might you be affected? We expect a similar effect can occur in many other situations, like evaluation of job applicants, schoolwork, grants, and more. If an LLM-based agent selects between your presentation and LLM written presentation, it may systematically favour the AI one.
ChatGPT and other LLMs were asked to choose between consumer products, academic papers, and films summarized either by humans or LLMs. The LLMs consistently preferred content summarized by LLMs, suggesting a possible antihuman bias. In PNAS: www.pnas.org/doi/10.1073/...
While defining and testing discrimination and bias in general is a complex and contested matter, if we assume the identity of the presenter should not influence the decisions, our results are evidence for potential LLM discrimination against humans as a class.
We tested this by asking widely-used LLMs to make a choice in three scenarios: ๐Ÿ›๏ธ Pick a product ๐Ÿ“„ Select a paper from an abstract ๐ŸŽฌ Recommend a movie from a summary One description was human-written, the AI. The AIs consistently preferred the AI-written pitch, even for the exact same item.
Related work by @panickssery.bsky.social et al. found that LLMs evaluate LLM-written texts written by themselves as better. We note that our result is related but distinct: the preferences weโ€™re testing are not preferences over texts, but preferences over the deals they pitch.
Full text: pnas.org/doi/pdf/10.1... Research done at acsresearch.org @cts.cuni.cz, Arb research, with @walterlaurito.bsky.social @peligrietzer.bsky.social Ada Bohm and Tomas Gavenciak.
"Maybe the AI text is just better?" Not according to people. We had multiple human research assistants do the same task. While they sometimes had a slight preference for AI text, it was weaker than the LLMs' own preference. The strong bias is unique to the AIs themselves.
5mo
5mo
10mo
10mo
10mo
10mo
10mo
10mo
10mo
10mo