Some of his crimes were in ancient Greece.

B*tchin’ Fast 3D 2000

I haven’t done any comparing; I just went with the apparent consensus, which is that v2 was more accurate and hallucinated less.

I’ve been using Whisper with TankieTube and I’m curious whether these errors were made with the Large-v2 or the Large-v3 model. I suspect it was the latter, because its dataset includes output from the other.

The Whisper large-v3 model was trained on 1 million hours of weakly labeled audio and 4 million hours of pseudo-labeled audio collected using Whisper large-v2.

Snake eating its own tail, etc.

Neat. Is it created after an update, or an upgrade?

Maintenance is maintenance.

Thanks! Very informative.

So you have cron handle your reboots?

Cool tip!

Nothing ever happens (in Debian).

It’s exactly around 100 days.

I like your style.

“You’re a good chip and I’m proud of you!”

I usually just restart it with systemd.

Edit: Initial D should be a nickname for the systemd init system.

Video. About 450 registered users. Maybe a couple dozen daily active; I haven’t yet setup the monitoring tools to know exactly.

What’s a web note?

Less dread that it won’t come back online.

I could do that, but the server reboots faster than DNS records can update.

Like a load balanced situation? Unfortunately, no. The app supports only a single server setup.