Dran

Do you consider yourself primarily an expert or a learner?

Genuinely asking, why is it important?

I have nothing to contribute; I’m scared of used drives. Interested to hear who folks have had good luck with though.

You actually have a lot of options in this space. You can take the prefill engine of just about any LLM and turn it’s transformer into a classifier by lobotomizing out the decoder. You can also use a diffusion model on single pass to surprisingly competent result.

If Jeff looks easy enough to deploy by all means start there, but don’t discount the idea if Jeff sucks; you have a lot of options.

You could (and probably should) use a system-one style inference system for spam classification. Much cheaper and the structured output means it’s impossible to go rogue and curl some malware or whatever. It can absolutely misclassify but its output is programmatically structured and just ranks a pre-selected set of output tokens.

In your case that’s

Spam

Not_spam

+1 for pikvm. Expensive, but very powerful and very portable. My favorite part of them is their APL that lets me noninteractively, programmatically, interact with hardware buttons

I don’t understand what you’re proposing that nagios/chrck_mk doesn’t already do

Copyparty is what I’ve been using. Seems very similar in philosophy.

+1 though for anti-discouragement. Competition breeds competence!

Only if you pay for premium. Regular users it refuses to play in the background.

This “feature” exists as a sort of government-backed guarantee to the lendor that the investment will eventually be paid back. It’s a large part of why interest rates for student loans are able to be reasonably low. Say what you will about the system as a whole, but I don’t think this particular narrow slice is the broken part. One only has to look at credit card interest to see the otherwise going rate for unsecured debt against the poor.

Is this hopium or did they release a statement suggesting an 3.8 35b a3b was in development for release?

It would be more accurate to say they _try and block the vpn providers and Tor exit nodes. In practice, they do have ~95% of Tor exit nodes blacklisted but major vpn providers it’s closer to 40%. Vpn providers go through a lot of effort to hide their exit traffic and it’s pretty simple to use a provider that has a reasonably robust cli to just rotate nodes until you find one that works

Connect

Test known-good video using yt-dlp

If fail, use vpn cli to connect to a new node

Reeat until success

If your provider let’s you connect to specific nodes you can even store the last-known-good and use it on first connect until it gets blacklisted, extending uptime considerably