No no of course not, but it’s a compatibility layer for windows inside linux.

That…is wine.

…and for anyone like me who was unsure, yes it works equivalently for AMD. I think Intel as well, but I’m not sure about that.

Well, you will have excess solar power during the day, so just keep it plugged in to the solar while solar is available. Then, just unplug the laptop in the evening until you get to 15-20%.

Trying to force the laptop to discharge while plugged in is colossally more trouble than it’s worth.

I would assume that they left the MX off of laptop GPUs, since they’re all MX cards, until recently. Regardless, the “card of the right approximate era” thing should work, unless there are specific patches for your card, which is unlikely.

It seems to me that the offending dialog would only be triggered if you did a full fresh install. During the previous iteration of the testing, they probably had a VM somewhere with it installed; since the underlying packages were already present, the dialog would never have popped up.

Yup. Even for technical writing, markdown with embedded LaTeX is great in most cases, thanks largely to Pandoc and its ability to convert the markdown into pure LaTeX. There are even manuscript-focused Markdown editors, like Zettlr.

Ubuntu 16.04, dual booted on my laptop before I knew how much of a hassle that could be! Fortunately, never had any of the infamous issues.

A new iteration of open-source drivers for NVIDIA cards which aims to work better and be more feature-complete. Original announcement post here which explains a bit better.

There are currently 252 Catholic cardinals, but only 135 are eligible to cast ballots as those over the age of 80 can take part in debate but cannot vote.

You’re telling me the Catholic church has more term limits than the US Supreme Court?

Will do! I didn’t make this clear, I did think labplot was a great software for folks who don’t already have the skillset to make plots directly in python – which is the majority of people, and probably the target audience.

Keep up the good work!

Mi was trying out labplot yesterday, and as far as I can tell it can only really plot, not do any sort of transformation or data analysis. The plotting UI itself is pretty nice and the plots look good, but for most of my use cases its worth it to just spin up a Jupyter notebook and work with MatPlotLib directly.

If it could become a general-purpose UI for matplotlib, thatd be fantastic, but its pretty limited in actual usability for me at the moment.

Maybe the graph mode of logseq?

This gives strong “Lovecraft describing things he doesn’t understand as noneuclidian” vibes.

🎶 Saturday night and we in the spot, don’t believe me just watch 🎶

Chuck mangione soothes my soul

WELL ACKSHUALLY its a clay tablet, you just press into it with a little stick, then its fired…

Gotta love the low-quality-copper memes

While I agree that publishers charging high open access fees is a bad practice, the ACS journals aren’t the kind of bottom-of-the-barrel predatory journals you’re describing. ACS nano in particular is a well respected journal for nanochem, with a generally well-respected editorial board, and any suspicions of editorial misconduct of the type you’re describing would be a three-alarm fire in the community.

I will also note that this article is labelled “free to read” – when the authors have paid an (as you said, exhorbitant) publishing fee to have the paper be open access, the label used by ACS journals is “open access”. The “free to read” label would be an editorial decision, typically because the article is relevant outside the typical readerbase of the journal, and so it makes sense both from a practical perspective (and more cynically for the journal’s PR) to make it available to everyone, not just the community who has institutional access.

Also, the fact that the authors had a little fun with the title doesn’t mean its low-effort slop – this was actually an important critique at the time, because for years people had been adding different modifications to graphene and making a huge deal about how revolutionary their new magic material was.

The point this paper was trying to make is that finding modifications to graphene which make it better for electrocatalysis is not some revolutionary thing, because almost any modification works. It was actually a useful recalibration for expectations, as well as a good laugh.

Edit: typo

Not somebody who knows a lot about this stuff, as I’m a bit of an AI Luddite, but I know just enough to answer this!

“Tokens” are essentially just a unit of work – instead of interacting directly with the user’s input, the model first “tokenizes” the user’s input, simplifying it down into a unit which the actual ML model can process more efficiently. The model then spits out a token or series of tokens as a response, which are then expanded back into text or whatever the output of the model is.

I think tokens are used because most models use them, and use them in a similar way, so they’re the lowest-level common unit of work where you can compare across devices and models.

I think its because while its under water it doesn’t have a chance to diffuse into a larger volume of air – normally farts are pretty dilute by the time it makes it to anyone’s nose.