Reposted by Sam Goree
Reading the press about Jev and TypeSafe AI and it's wild to see ppl seemingly re-discovering what folks like @timnitgebru.blacksky.app have been saying this whole time.
Yes, ML models should be well-scoped, structured, & testable! Being context-appropriate is, in fact, the most important thing!
![Faster publication through arXiv. The digital materiality of the PDF affords an alternative
publication process that came up in several of our interviews (P4, P5, P8): the preprint server arXiv.
P5 says arXiv is a major source of anxiety for his students: “So my students...had the unpleasant
experience of, you know, finishing a paper when they’re just about to submit and they saw a paper on
arXiv that did almost the same thing. Like, oh my, months of work just went down the drain.” This
emotion, the sense of loss when a project becomes unpublishable because someone else got there
first, echoes Su and Crandall’s observation of “selective amnesia” [96], except in addition to old
papers quickly becoming obsolete because something else is better, current papers may become
obsolete because they are no longer first.](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:mmx6j4bbuwlegny7h3u2lyzd/bafkreicbn7dowfzotyopz2tbzxi5rtfen7jtj2343m53y36smvb6ttz6vq)
