It’s weirdly difficult to remap the “office” key so that pressing it won’t open an ad for ms office 365 and pressing office+L won’t open linkedin.com, and a few more equally valuable core OS features.

In the end I just had to grab a small bit of C code from GitHub, compile it, move the exe to the startup folder, have Windows Defender yell at me for having obviously installed a particularly nasty brand of trojan, and make Windows Defender put the executive I had just compiled back.

But really, I deserve this for using a Microsoft natural keyboard in the first place.

I’d say, let’s have everyone brainstorm the best way to go about this, and let a thousand flowers bloom!

It is time for the mainland to come back into the fold.

I agree the mainland should be allowed to maintain some amount of self rule during the transition.

Pixel 7 with a barely customized Nova Launcher, because I’m basic but I need rounded square icons.
The background looks iffy in the shot, but it’s a live wallpaper from Shader Editor running Machine DNA’s GLSL shader with minimal tweaks needed to make it fit on the phone.
That weird twitter icon is a Firefox PWA running twitter.com with various userscripts installed, to remove antifeatures and bad logos.

You can list every man page installed on your system with man -k . , or just apropos .
But that’s a lot of random junk. If you only want “executable programs or shell commands”, only grab man pages in section 1 with a apropos -s 1 .

You can get the path of a man page by using whereis -m pwd (replace pwd with your page name.)

You can convert a man page to html with man2html (may require apt get man2html or whatever equivalent applies to your distro.)
That tool adds a couple of useless lines at the beginning of each file, so we’ll want to pipe its output into a | tail +3 to get rid of them.

Combine all of these together in a questionable incantation, and you might end up with something like this:

mkdir -p tmp ; cd tmp
apropos -s 1 . | cut -d' ' -f1 | while read page; do whereis -m "$page" ; done | while read id path rest; do man2html "$path" | tail +3 > "${id::-1}.html"; done

List every command in section 1, extract the id only. For each one, get a file path. For each id and file path (ignore the rest), convert to html and save it as a file named $id.html.

It might take a little while to run, but then you could run firefox . or whatever and browse the resulting mess.

Or keep tweaking all of this until it’s just right for you.

Instead of simply blurring them, it’d be technically possible to feed their images through a stable diffusion prompt, like “humanoid lizards” or “frantic lemmings”…
Also, I understand that a large language model could be made to rewrite articles about them with a matching prompt.

That would be very silly, of course.

No True Christian would ever activate a fully automated sentry killbot that doesn’t use at least one of its compute cores to pray to the Almighty on a loop.

Darn AI and its filthy mind! What will it think of next?

“I’m not X but <position statement that clearly requires them to be X” and “I don’t want to Y but <proceeds to do exactly Y>” are used by people that mistakenly believe a disclaimer provides instant absolution.

On the other hand, I’ve never had anybody threaten to yuck my yum in exactly those terms, and I’m slightly intrigued by the prospect.

I was watching the network traffic sent by Twitter the other day, as one does, and apparently whenever you stop scrolling for a few seconds, whatever post is visible on screen at that time gets added to a little pile that then gets “subscribed to” because it generated “engagement”, no click needed.
This whole insidious recommendation nonsense was probably a subplot in the classic sci-fi novel Don’t Create The Torment Nexus.

Almost entirely unrelated, but I’ve been playing The Algorithm (part of the Tenet OST, by Ludwig Göransson) on repeat for a bit now. It’s also become my ring tone, and if I can infect at least one other hapless soul with it, I’ll be satisfied.

Several times now, I’ve sent people I knew links to articles that looked perfectly fine to me, but turned out to be unusable ad-ridden garbage to them.

Since then, I try to remember to disable uBlock Origin to check what they’ll actually see before I share any links.

Presumably because they don’t have a single delivery employee. They just provide “tech” that lets drivers and customers find each others.

Of course if those companies were to become responsible for providing a living wage to their “gig workers”, then it becomes harder to still call them mere “tech” companies (and some might argue that an article using that label to describe them is in fact implicitly picking a side in that lawsuit.)

I’ll note that there are plenty of models out there that aren’t LLMs and that are also being trained on large datasets gathered from public sources.

Image generation models, music generation models, etc.
Heck, it doesn’t even need to be about generation. Music recognition and image recognition models can also be trained on the same sort of datasets, and arguably come with similar IP right questions.

It’s definitely a broader topic than just LLMs, and attempting to enumerate exhaustively the flavors of AIs/models/whatever that should be part of this discussion is fairly futile given the fast evolving nature of the field.

The only clue we have is that the desk reflections look really plausible.

But yeah, it’s real: https://www.newyorker.com/news/our-columnists/the-president-is-shilling-beans

There have been efforts to build reputation systems that don’t rely on central servers, like early day bitcoin’s Web of Trust, which allowed folks to rate other folks with public key crypto, thus ensuring an accurate and fair trust rating for participants, without the possibility of a middle-man putting their thumb on the scale.

One problem with it is that it was still perfectly practical for bad actors to accumulate good ratings, then cash out their hard-earned reputation into large scams, such as the “Bitcoin Savings & Trust” (for $40 million in that particular case), which quite possibly made it measurably worse than not having a system that induced participants into making faulty judgments in the first place.

I think the main practical value of something like reddit’s karma is an indication of age and account activity, both of which can probably be measured in other, if less gamified ways.