Do not connect it to the internet. Problem solved.
Basically anything in a social network needs to learn to defend itself against threats. Make computer a hermit, and it can go without updates for a long time.
(Oh, but you don't like that? Well, Microsoft doesn't like getting in the news for some worldwide botnet of all Windows 10 machines. I bet they'll figure this out sooner or later.)
LookingGlass' small portrait display is more like (2D) lenticular. Their larger displays use a micro lens system that directs pixels out in beams in different direction. So you also get parallax in the up & down direction.
But usually a JIT is made in a way that you can then move forward with your optimizations in small tested steps. So it makes sense for JITv1 to have a very similar performance as the non-JITed version. It probably generates highly familiar code. First make it do the same, then optimize.
Seemingly the only relevant reply in this comment section. That said, the article is kind of vague and has a few big misunderstandings unrelated to Tononi's Phi and Information Integration Theory.
Phi is basically a complexity metric that tries to put a number on the effect of memory in a system. I'm unsure wether this has any relation to 'consciousness', but it's at least interesting to measure effects of having a low or high Phi.
For example functional programming languages favor a low Phi. Everything is defined by the input, memoization is possible (sort of what you call 'mocks' in other programming languages). There are no side-effects (memory of past events elsewhere), or at least they have to be invoked explicitly as 'unsafe' operations.
Chris Granger (of Light Table fame) and his bunch at Eve are working on something like that. There are a bunch of presentations on YouTube. They are more looking at it abstractly as a possible programming / data model, than purely 'compile an Excel sheet to a programming library'.
Just read the paper, it's explained. Or read the presentation, it uses pictures.
Basically they run R, a single threaded statistics tool which is setup to hog a core, and in some other cgroup a wildly multithreaded tool. If you have a NUMA system (check with `lstopo`) then it's possible that the scheduler thinks the many tasks in one domain of cores is balanced with just R on one core of another domain. Meaning you can have several (ex: 7 out of 8) cores idle. It has to do with the way hierarchical rebalancing is coded, and that their 8x 8-core AMD machine has a deep hierarchy.
https://github.com/RsyncProject/rsync/commit/30656c5e
Someone using AI to bisect recent rsync. https://github.com/themgt/rsync-compare-link-dest-341-343-re...
Someone trying to fix it with more Claude Code: https://github.com/RsyncProject/rsync/pull/930
Related ticket: https://github.com/RsyncProject/rsync/issues/915
I'd recommend putting in more regression testing in the commit before 30656c5e, and rebase it forward while keeping functionality.