Just get an oldish SFF or USFF office computer cheap somewhere. It’s generally much cheaper and allows for upgrades if ram/ssd prices ever come down. Also somewhat new Intel CPUs are quite good for transcoding.

404

While I completely agree with you, I think we should give him a break on this one. The man’s 85 after all.

TLDR: They vibe coded some app for a hackaton, by the second day it was a complete mess so they had to debug.

For me it has to be Compliance (2012). It’s a masterpiece but it’s so disturbing that I never want to see it again, and would never recommend it to anyone.

You know that AI/ML is not only LLMs, right?

Time to start shooting nudes on film I guess.

Do you have a link to a list of the 65 advanced technologies? I’d be quite interested in checking it out.

Then again the CCP has absolutely no jurisdiction over you.

Like working on open source projects?

In light of recent mass layoffs I’d be quite interested what options of making (plenty of) money you think exist for developers that don’t actively make the world worse.

Just yesterday I was looking around for an LLM tarpit to selfhost. Most active I’ve found so far is Pyison. Maybe it could be of some use to someone.

Nice to see nim mentioned. Quite like it as in principle but I thought it was on life support.

Not exactly. While the images you send them are usually about 300-600 dpi, the halftoning is rarely done at 600 or less.

At 600 dpi, AM halftone dots are painfully visible, and even FM halftones can be distracting and lead to a defect usually called “color noise”.

I’m sorry, English is not my first language, and I may not have explained clearly.

The open printer likely prints at 1200 x 300 dpi (explained in my other comment) in color and the author of the article just reported it as 1200.

There is no was they can achieve stable cmyK prints at 1200 dpi, but only 600 dpi with just the K.

Therefore your printer is likely 16X more precise than the open one. This is quite important as inkjet printing is meant for high quality prints as it’s both slow and expensive.

Fair, and I admire them for trying. I was just pointing out that these specs are closer to a 10-15 yo laser printer, which is likely cheaper to buy and print with.

If they were producing q laser printer of similar specs with open firmware I’d be first in line to get one.

Well, your Canon Pixma is real 1200 dpi, this one on the other hand is 600 in bw and 1200 in color. Generally speaking, this is a marketing trick used by printer manufacturers to make a printer sound better and what they do is they sum the dots of each color, advertising resolutions like 4800 x 1200 dpi. This means the actual resolution is 1200 dpi but horizontally they count the dots of each CMYK channel.

My guess is they can print a stable image in bw at 600 dpi, but in color they are limited to 300 (multiplied by the 4 channels). Also my guess is that this is because they seem to be struggling with halftoning, as written in the article:

On the software side, work continues on Wi-Fi and Ethernet connectivity, as well as dithering algorithms designed to improve image quality.

Also, keep in mind dpi is not linear. Images are 2d, so a 1200 dpi print contains 4X the dots of a 600 dpi print.

… supports 600 dpi black-and-white printing and 1,200 dpi color.

Ouch. 600 DPI black and white and “1200 DPI” color resolution is very low for an inkjet.

The big missing detail remains price.

At these resolutions I’d rather get a laser printer that’s well supported in Linux no matter what the price is.

The link provided was very entertaining, thanks 😃

Afaik Spotify normalizes the tracks by default and from what I gather that means it boosts the volume across the track and applies a limiter to roll off the loudest parts, which I guess should make them sound much flatter.

You’re not alone though, my gf reported the same thing so we’ve spent an afternoon comparing the same albums on Spotify and my Jellyfin collection. Same phone, same headphones, the differences listening to some albums were huge.

Sending you two questions that produce garbage:

Q: why would i use EDODF (error diffusion with output dependent feedback) instead of Floyd-Steinberg?

What to expect: at least some mention of green noise characteristics, clustering behaviour and reduced dot-gain and dot-loss.

What is wrong: Reduced worm-like artifacts, blue noise characteristics, some fine-tuning garbage it spitted out.

In the same chat you can then try:

Q: Describe the MED class algorithms to me.

What to expect: MED stands for multiscale error diffusion. Generally speaking it scans the image progressively, starting from a coarse grid and ending up with a single pixel to paint either black or white for each pixel in a predefined pixel budget. A similar approach was introduced by E. Peli in the 90s but perfected by Fung and Chen in the 2000s. It could be used for both dithering with both green and blue noise characteristics.

What I got: Hallucinations of some Minimum Error Disturbance class of algos i’ve never heard of. it seems to have something mixed up, as it seems to crop up in other fields. It was trying to describe something closer to a DBS (Direct binary search).

What is wrong: Anything related to DBS.

If you feel like you need any more I’ll do my best to think of some more.