LLM would be great to parse all that data, but I think you miss OP’s point. AI can be useful to automate mundane jobs, i.e. jobs you can’t get away from. OP’s point in my view is verbose logs are noisey & difficult to parse, because you’re logging everything unnecessarily. If you Log interesting things and mark them with context & logging levels, Then you can dive in as deep as you need, when you need. Why add complexity (& other hazards) of AI when you can fix the root of the problem first yourself.

Btw your import imports an import causing a cyclic dependency. Good luck <3

Ideal *Gas car

On sending the information:

Microsoft bot: this issue has been marked as closed due to inactivity

Don’t forget to install the latest drivers!

As much as I’d love hating on Microsoft, I think this gross incompetence & shitty bureaucracy over malice from Microsoft. Kaginski was locked out of his account & Microsoft made it annoyingly difficult to recover. This is something I have also faced using Microsoft’s enterprise products, something we pay a lot of money for.

The bane of my existence is visiting Microsoft community posts, where “MVPs” advertise their years of experience before suggesting the most banal advice ever.

“Please Fund projects done by others, loved by all, which we can come and embrace, extend & extinguish… pretty please!”

echo your $PATH & site-packages after activating venv. The activation logic does some juggling with the PATH so maybe pandoc slipped out?

Is Pepsi ok?

Spot on. I’d summarize your comment as “Scope & vision” within the team. An excellent counterpoint to bloated AAA games is Hello Games & No Man’s Sky

Maybe China needs to restart pumping out SO2 emissions again! /s

I mean after Callisto Protocol bombed but Dead Space remake was a success, I’m not entirely surprised.

Big New IPs are way too much risk for profit crazy EA.

This is amazing! I wish there was something akin to Lemmy Gold! Lemmy give it to ya!

EDIT I’ve posted this comment to bestoflemmy

I’d love if it were Linux but its probably macs, mostly due to their superior battery life (compared to Windows).

Anecdotally my parents bit the bullet switched to Macs after using Windows 11 and all its unnecessary changes from 10. It was death by a thoudand cuts for them, where simple processes like search and printers are radically different than before. If they gotta learn a new system, might as well learn something that works.

As an aside knowing most companies working in embedded technologies usually work in, or have strong aspects in Linux. Why then are Linux drivers so difficult to come by? Lack of customers seems unlikely since they mostly have everything ready, right? Or is it cost cutting to avoid lengthy QA on another platform? That would be easy to sidestep by giving a no-warranty driver version?

• Fear & Lo-ho-ho-ho-athing in Vegas.
• Deck the Hallpass
• Joy to the World War Z
• The Snowman (don’t even need to change anything)

Die Hearth?

Good god. Thanks for the info.

Genuine question: how energy intensive is it to run a model compared to training it? I always thought once a model is trained it’s (comparatively) trivial to query?

rm -rf /

Oh no! 😨

–no-preserve-root

Oh yeah 😈