The point isn't to be a complete solution to social interaction, the point is to provide a significantly better than random sampling and pairing.
You can then still apply your usual filters afterwards, such as smell, looks, vibes.
936 karma · joined August 8, 2024
You can then still apply your usual filters afterwards, such as smell, looks, vibes.
This is wrong. Stable matches still mean something, and in fact probably mean quite a lot.
You are given a much better match than a random pairing. If you still aren't interested, you can decline. If you go on a date and it doesn't work out, you can decline.
Nothing forces you to use this process, it is just an offer of a significantly better than random matching to what you might prefer.
It doesn't even need to account for preferences not covered by the questionnaire.
I spent my vacation reading From Third World to First by Lee Kuan Yew.
And I have a couple of university textbooks (Physics and Biology) lying about, waiting for me to keep working on them.
I concur with the general feeling of it being difficult to plan much ahead. I think that learning and reading is good, and has been good basically always (just because someone else knows something doesn't mean that you shouldn't learn it too, even if this someone else is an LLM).
Anyway, I enjoyed your post and mostly feel the same (and funnily I have similar interests).
I much prefer the first.
School shouldn't be impossible, but you shouldn't have a charade of schooling.
Obviously, extra practice is a good idea.
Sounds super 1337 and I hope it's actually possible somehow.
It doesn't make it easier to "hack" servers, it's just a list of things that you could use once you're already inside.
This is wrong to an extent.
This plan works by letting software supply chain companies find security issues in new releases. Many security companies have automated scanners for popular and less popular libraries, with manual triggers for those libraries which are not in the top N.
Their incentive is to be the first to publish a blog post about a cool new attack that they discovered and that their solution can prevent.
Though another possibility would be that since LLMs generate so much code, the LLM vulnerability discovery would just keep chugging along and we'd simply settle for the same amount of potential vulns, same relative vulnerability-exploit-patch dynamics, though higher in absolute numbers.