Post #3707020
2026-07-10 01:29 UTC
Replies (2)
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@tao@mathstodon.xyz 2026-07-10 01:29
It only occurred to me recently, though, that with modern AI agents it should be a routine matter to migrate this nearly 30-year-old system of files and data to a much more modern and easily maintainable framework. And indeed, after a day of (rather painlessly) working with such an agent, much of this data is now migrated to https://teorth.github.io/tao-web/, with the pages now generated from several YAML files serving as the ground truth, as opposed to each page being separately maintained by hand. In the process multiple inconsistencies with the old human-maintained web sites were discovered. Modern AI still has some tendency to hallucinate, of course, so it is possible that some new errors were also introduced; but upon my inspection it certainly does seem that the error rate is now lower than it was before, and more importantly large-scale corrections are significantly easier to implement. While web page maintainance is perhaps one of the least glamorous or exciting aspects of academic workflow, this type of tedious, routine task seems particularly well suited to modern platforms (such as Github), as well as automated tools (including both modern AI and traditional deterministic scripts). (2/2)
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@weaselx86@mastodon.social 2026-07-10 04:11
@tao@mathstodon.xyz I ran the first UCLA Math departmental computer when I was a grad student under David Cantor from 1979 to 1982. We had a DEC PDP-11/23 with 512KB RAM, a 70MB disk, and 9600-baud serial ASCII terminals. I brought up Unix v6 and then v7 by generating bootable root images on 2.5MB removable RK05 disks on a computer down in the Comp Sci department. Just as I was leaving in 1982, the department replaced the PDP-11/23 with a VAX, and another grad student, Peter Reiher, took over as sysadmin.