flakiness

Totally off topic but still made the day.

They seem to go with Android-style alphabetic order code names instead of pointed numbers (4.1, 4.2...) and drop "B" for some reason (which is creating this confusion.)

What would be the computing cost to go through the book (or the course)? Do you need Cloud GPUs, or can this be run locally, if so how powerful your computer has to be?

I've been wondering about getting a PC to poke around LLM stuff (not a practical use, but more for learning purposes) but I don't have any intuition about how much is enough and whether it is worth it to me.

That's why I mentioned "non-model" quality. Although it's getting harder to tell harness quality from model quality, my impression was Muse is just lacking to deliver their ambition.

I worry how buggy their app is. I love their model but Meta/Muse has the edge on non-model implementation. Hope this turn out to be false alarm.

One explanation I heard was that it is to avoid slow government certification-like process. New version == another run of certification.

Although I'm totally on board of the high-level points,

> This remains yet another shameful example of large AI companies appropriating the commons and presenting others’ work as their own.

If you work at Meta which is, you know, one of large (aspiring) AI companies, a bit of self awareness might help boost your credibility a bit more.

That sounds bad. I just haven't encountered it personally (or didn't notice).

Despite of the shortcomings, I'm still sticking to Ubuntu. It's boring, and occasionally break things. But at least it's not hostile.

If you use the words like "still" and "at least", there is little enthusiasm. But that's how a long-term relationship looks like I guess.

Can anyone explain the difference between sampling vs mononoke?

Edit: I was too lazy. From the README: "Mononoke is the server built for the Sapling Source Control System"

They want you to vibecode this using Claude.

Android phones don't need (and often don't have) upstreamed "drivers". They use qualcomm's closed-source code. Also, Android user land driver (HAL) isn't useful for non-Android Linux distros.