This was actually my superpower. When I would review my friend’s papers during grad school, as soon as my eyes glazed over or my attention wandered, I would circle the paragraph and tell them to clean it up.

Brain going everywhere is usually a pretty clear sign of convoluted writing, and if you can tell someone to fix it, do.

This was a wild ride.

That 8 hour 20 minute spec for returning to baseline could probably be sped up a bit to improve the inter-frame timing

Modern monitors measure gray-to-gray time as the response, rather than black-to-black. So if she computed the 50% luminescence threshold time on the decay side, and then started injecting the next round at that time, could likely cut the decay time to closer to 200 minutes minutes for the first frame, and then probably double that for the inter-frame times, depending on the GFP decay rate.

Who knows, maybe she already took that into account. She seems to be well rounded.

From the charts in the video (above), it looks to be symmetrical near the peak, but the 50% concentration on decay is around 200 minutes minutes of decay followed by 70 minutes ramping up would put the inter-frame time to be about 3.5 hours.

I realize concentration of fluorescing enzyme may not be 1:1 with lumens emitted.

If this worked the way I imagine, This cuts the total time to play from 600 years to about 200 years. Rounded to 1 significant figure, since this is all ballpark math anyway.

I have my PhD now, and have published 3 conference papers and 2 journal articles. I’m not in academia now.

About half of my academic citations came from a poster I presented at a conference from before I started grad school. A poster that was never uploaded online, has no paper with it, and as far as I know, 15 people have seen in real life.

They were citing the online abstract, which has no real meat to it, just a single picture of my choosing and a paragraph of text or so.

Holy shit man. This project was barely science at this point. The methodology was soooo bad, and only made sense because I barely knew what I was doing and the researcher advising me was a bit out of their depth.

A fellow connoisseur, I see!

Trying to etch models into a chip is a dead end until we reach “peak” quality.

However, unless they include some kind of LoRA (low-rank adaptation) adapter onto the silicon, it severely limits the utility of whatever model or architecture they choose. Being able to modify the weights is way more useful.

Honestly, diffusion decoders are probably where we’ll end up some day. Not end there, but that’s probably the next logical step in the throughput chain.

General purpose compute is infinitely more valuable during times of great software improvements than highly specialized compute.

Things like Tensor Processing Units (TPUs) still aren’t ubiquitous yet, even though they’ve been around for 10+ years. They’re Too specialized to allow for reasonable flexibility on testing.

Did this one achieve some intense introspection just now?

I know what you meant (I have one for fish as well), but I chucked because you looked very enthusiastic about it!

The fish function for !! is super useful though

Honestly? I want that.

No joke, it looks like that may be the price for both units you can see there. Hard to tell from the sign, but it has two product codes with a + between.

Seems a bit steep for a single grand piano, and just about right for two.

I was able to beat him 3 or 4 days ago, after the rock pile thing wasn’t part of the fight anymore.

Overwhelming force: strength build, vulnerability , and the card that gives you strength when you lose health on your turn, combined with multiple cards that triggered damage, and a power that dealt 1 hp damage at the beginning of my turn.

Accept that you will lose a few cards and build redundancies.

I’ll look up my build later.

It’s only the standard for people who self host their llms and don’t have $500k to throw at hardware for GLM-5.1 or similar models.

I have qwen3.6:27b on my local hardware and it’s way better than I expected. I’m excited for the rest of the 3.6 line as it comes out, if they can keep up that quality.

This story is also a nothing burger. Generally, yes, Nvidia will suffer once chinas stack catches up (soon). By then whatever bubble we are in will have normalized one way or the other.

In terms of actually deploying this model, it doesn’t matter what hardware you’re using. VLLM supports almost everything with SIMD-type hardware instructions.

More competition will make everyone happy except Nvidia shareholders.

Cities and Skylines isn’t too far off from that sim city 2000 vibe, if you need a fix

Then make it lie. Spoofing is a thing that sometimes works!

After searching the PDF, I only saw Apple listed for one product, and didn’t see any instances where it wasn’t “green”, so I’m not sure how clickbaity the article is (since I didn’t read the article itself)

I’ve still never bothered to figure out where this is reported… it’s been 15 years.

Agreed. I’m a man. When I was dating last, my personal rule was “always use condoms at least the first time with a new partner, and then discuss it after that as things progress.”

Except for your first sentence, I would agree with you. Protest somewhere the ruling class can see you.

Don’t hurt people directly though. The point of protesting is to shame leaders into change. Starting a war helps no one.

Isn’t that functionally what a flatpak is?

I’ve been using yay for years, and it is sufficient. First time I’ve heard of paru.

Other than being written in rust, how does paru improve the experience of AUR wrapping?