Dran

MIT: I build my thing on top of your thing, it’s my thing now. I sell it, you have no rights.

GPL: I build my thing on top of your thing and your license forces me to distribute my thing under the GPL, including the source code.

There are legitimate arguments for both. Sometimes it sucks when proprietary things get built on top of MIT code but sometimes it takes money for innovation, and in the realm of code the world often benefits anyway by virtue of copycats or distillation.

+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

Sittin’ outside of a Wendy’s for free wifi lookin’-ass

Win 11 IOT enterprise LTSC already exists and doesn’t even require a TPM.

Unless this is a legitimate channel for regular users to get IOT enterprise LTSC, this is a non-story. The thing we want already exists, they just refuse to sell it.

Pop-in is pretty distracting for me too. That is generally the last thing I’ll change for framerate. Hell, I’ll take a resolution downgrade before I sacrifice framerate or pop-in

Weirdly: no

Right now I’m playing through kcd:2 and I’ve lowered the settings a bit to hit a smooth 120hz

See this is the part I don’t understand. I will turn literally every graphic setting down until I hit 120+ fps. Playing at anything less feels choppy and distracting, regardless of visual quality.

Am I really that far in the minority here?

Their implementation doesn’t seem like a completely shit way to do it:

Apps don’t get your birthday. Microsoft says an age signal doesn’t directly expose the user’s age or date of birth. Instead, GetUserAgeRangeAsync returns one of five ranges.

Windows signal Range

• Under 10 0-9
• 10-12 10-12
• 13-15 13-15
• 16-17 16-17
• 18+ 18 and above

At best they could figure out a kid’s birthday every couple of years, not an adult’s

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

You can absolutely train a nontrivial task model on a gaming gpu (image classifier, sound classifier, text model with a very structured input and output, etc). You can also post-train addon layers on top of existing open-weight models (LORA).

Ubuntu and bad updates

This is the only drama in your list I’m not familiar with already. What/when did they last break?

Good news friend! Those machines are probably only 200 million each, because ram doesnt require quite the latest machines, way cheaper than you thought!

Bad news though friend! It’s not very economical to just buy one, because they’re so sensitive you need a cleanroom to house one. Then you need some really smart people to tune and maintain them, so you may as well buy a few, and now that cleanroom needs to be the size of 6 Costco’s.

Oops where did my 5 billion dollars go?

Because the philosophy of the Linux kernel is

We don’t break userland

They have no way of knowing who is using what parts of the Linux kernel, where, and why. Generally if it’s not hurting anyone it just stays until it causes a problem.

Very cool project!

What was the motivation to make it cross platform? On the Linux side I see immediate value but I’m struggling to understand the usecase for win/Mac.

You can’t just write off capital expenditure though. The hardware, even for “effecient” MOE inference is still very expensive to buy, house, run, and cool. Even assuming open-weight model serving at $0 r&d for the models themselves, mixing high-prefill workloads doesn’t batch well with decode heavy concurrency (or other prefill-heavy jobs). The moment you do anything nontrivial you start running into very complicated architectural problems to efficiently solve at scale.

Hardware that is useful for 5-10 years at most, plus development and support for the inference workflows, doesn’t leave a lot of margin on the table.

My gut, along with basically everything I read, suggests that not most (even pure inference) shops are not profitable and are still floating on loans or vc money.

Can you cite your source on the claim that “inference is currently insanely profitable”? Everything I read suggests that openai and anthropic lose money on their plans.

Good stadium nachos

Name me a worse liquor, I’ll buy it next week if I can find it local, and I’ll report back.

Did you go to uni in hell or chicago?

Malort

Tastes like turpentine and grapefruit juice. The former I’ve actually tried accidentally… dipped my paint brush in my cup of water and took a swig of the other cup. Somehow, the malort was worse. Learned recently that they make a barrel aged version that they claim is

dare we say, sippable

We do not.