Amusingly enough, the steam deck has made a lot of the state of this art get better. Usually if you mount the ISO and then tell Lutris to install it, it'll work.
I still reserve the right to be astounded. One of my beta readers said I needed to add a disclaimer that this talk is satire, so I went through a few rounds to make the warning right. I guess we didn't expect someone to get caught up in the title!
I'm astounded, I would have thought that putting an explanation that the article was satire would like...work. Should I have made it giant screaming red text?
Palworld. So much palworld.
No Man's Sky, but they vastly redeemed themselves.
I can use Plex on my PS5 and share it with my friends without having to do DevOps work.
The seven seas welcome ye matey
No prob! If you run into any problems, feel free to DM me or /u/[email protected]. We're more than happy to help.
Note my bias as I work for Big VPN (Tailscale), but I don't think that teaching people to ignore security warnings is a good thing to do. The CA system is kind of a scam in general, but I think that at least in its current implementation it's better for us to encourage people are aware of those errors and what they mean.
As the sacred texts say: self-signed certificates beget the use of curl -k
beget the use of self-signed certificates.
Tailscalar here. Use tailscale serve
. It is a reverse proxy inside tailscaled. It will handle HTTPS certificates for you too. As an example, here's a sample HTTP server proxied to both my tailnet via tailscale serve
and to the world with Funnel.
Also as far as I know you need to use Serve in order to use Funnel.
What would an ideal prompt for summarization look like with this model? I've tried a few summarization prompts but they haven't panned out into something consistent (MacBook Pro M2 Max, llama.cpp, q4_S). I know this is fundamentally more random technology, but it's not even coalescing into a consistently relevant output.
Training GPT-3 (a model from 3 years ago) from scratch requires as much energy as is spent to raise two cows for meat.