JavaOS
JavaOS
No 16 gigs is ok for an LLM
On your gpu
I’ve developed “AI” using prolog.
No machine learning, you’re still solving problems using logical reasoning and deduction that’s not intuitively obvious for humans.
Machine learning isn’t the only form of AI.
This type of subscription is actually kiiiiinda understandable because the company has to maintain servers, staff and keep the software secure because they’re handling sensitive data such as location etc.
I also remember that BMW I think? Had a heated seat subscription and that’s really not justifiable imo
May I interest you in firefly III?
From what I understand you obfuscate the port in order to limit the amount of incoming attacks. But then fail2ban would be a much more effective tool.
The disinterested aspect you described is the actual problem. Because it’s based on the assumption your port won’t be found, but it definitely will, and as soon as that happens you’ll end up in a database such as shodan and the entire effect is GONE.
Obfuscation is not security, changing the port doesn’t increase your security
Yeah I mean that’s a fundamental problem.
We can a) trust people/companies as long as they don’t give us a reason to not trust them.
Or b) we can never trust anyone but then this discussion is pointless anyway.
That is absolutely not correct.
Steam policy is if valve shuts it down, they’ll give you enough time to download all the games and run them without drm.
Exactly, why would they even put napkins out if the customers still come.
You really should press Ctrl+alt+f3 on your lock screen and get your mind blown.
Well you’ll never get a “fair” comparison, because the environmental effects are never properly priced into the consumer price.
That would make it steeper, no?
Actually muscles are what keeps you warm.
The amount of fat required to provide significant insulation is not really feasible for humans with the addition that the feeling of being cold might even be increased.
https://weather.com/health/news/do-fat-people-stay-warmer-cold-weather-thin-people-20140103
NGL withdrawal during a natural disaster sounds pretty ducking dangerous.
I mean, you can simply define something differently than the last 50 years of researchers in computer science. It’s just not going to make a difference.