13,342 karma · joined January 3, 2014
me@lesaker.org
They wanted to keep the models from copying off of each others’ homework because it mucks with the test results.
They wanted to sandbox them from the Internet to avoid unintended impact on outside systems.
Hosting a shared package mirror is generally good practice for the latter.
The most boring reason, even if you take CVSS scores at face value, is that in many cases it is possible to leverage multiple "low" severity vulnerabilities into a massive impact.
But the bigger reason is that CVSS scores are all over the place, and the people operating roulette wheel that generates them do not have any insight into any specific person's systems.
This isn't just a CVSS issue: there have been a variety of attempts to reduce a risk score down to a single general number and they all end up as somewhere between marketing material, scare tactic, and junk science.
They're spending their time build and improving systemd's set of building blocks.
If you really loved horseback riding, or you really loved breeding and training horses, or you were really good at it, I'm sure that cars fucked up your day, and that it sucked to see cars replace horses.
I'm sure there were plenty of people who said that cars were horrible and that we should stick with horses. I'm equally sure there have been C programmers looking derisively at Python programmers, Python programmers looking derisively at Node programmers, etc etc.
But there's a pretty big gap between the feeling of unhappiness that something you liked is no longer as in-demand / profitable / common / whatever, and saying that cars aren't useful and we're all worse off for letting our horse-riding skills degrade.
AI has radically improved my ability to parse and understand new codebases, to validate my hypotheses, and to work in complex systems.
I wish I knew what I was doing differently than almost every developer.
It's not clear to me why programming is inherently analytical and logic-driven but prompting and iterating with an AI is not. What about Applescript, where it's programming but in something closer to natural language?
The core of this seems to be that there are people who assume that users of AI turn their brains off the moment they open a Claude prompt. There are surely some people who are doing that, but there were also plenty of people who were shipping sloppy code before. There are far more people for whom this another tool in their toolbox.
Why is using AI tools self-debasing or degrading?
Distilling isn’t copying and redistributing, for the same reason that you reading a story and then writing your own story based on ideas you learned is different from you reading a book, writing all the words down verbatim, and then publishing it as your own.