I’m specifically using Voyager on iOS and MacOS (and in Windows via BlueStacks) because I do exactly this. I block several whole instances (lemmygrad and hexbear), the active politics communities, and also specific keywords (elon, musk, trump, gop, republican, etc.), so I’m even able to browse All without my eyeballs being seared.

This is a good, short read. For those who are unfamiliar with the AGPL license that the author proposes we all start using, the main difference (and I am not a lawyer) is that under the AGPL, the source code including any modifications must also be made available to all users interacting with the software over a network. This prevents companies from making proprietary versions of AGPL software that are only accessible as a web service, which is one of the big ways that corporations are able to profit from GPL source code contributions these days.

When did we get away from saying “X - formerly known as Twitter” ? I liked seeing that gentle nudge in every headline.

Maybe true, but even at $3500 the Vision Pro would be about the cheapest thing in the operating theater anyway.

Are you looking for a tool that can diff legal documents line by line or clause by clause? If the latter I’d bet an LLM with a large context size could do a pretty good job, especially if you used a script (or another pass through the LLM) to break them down into like sections so that could just compare e.g. all Controlling Law sections with each other and all IP Indemnification sections with each other.

Now that I think about it, tuning the prompt (and keeping the temperature very low, like 0) you could probably get it to return everything from proper diffs to summaries of conceptual differences. And it could definitely do multiples at once if you were to break them into like pieces ahead of time.

Mine’s more like an LLM - exposed to a vast quantity of technical terms that they don’t really understand, but can mash them together well enough to make coherent-sounding statements in JIRA

I honestly think the tiny fraction of MAU might be the reason. Something like once you exceed a Dunbar Number of contacts in a community it starts to go downhill.

I like big butts and I cannot lie

Or

when a girl walks in with an itty bitty waist and a round thing in your face you get sprung

Really that whole song is a masterpiece.

In UNIX-y systems ./ is your current local directory, so if I was in /usr/home/will and I extracted your file I would expect any file that was like ./foo.txt to be extracted to /usr/home/will/foo.txt, and if there were files like ./testar/bar.txt, they would be extracted to a new directory /usr/home/will/testar/bar.txt – or is that not what you’re talking about?

Assuming it’s a regular porcelain bowl I’d try Barkeeper’s Friend next, it’s a mild abrasive made from something weird like rhubarb.

Used dryer sheets work well too. Wet, scrub, rinse. Takes off hard water stains and soap scum as well or better than vinegar in my experience.

Jimmy Wales (of Wikipedia fame) has been working on something like this for several years. Trust Cafe is supposed to gauge your trustworthiness based on other people who trust you, with a hand-picked team of top users monitoring the whole thing — sort of an enlightened dictatorship model. It’s still a tiny community and much of the tech has to be fleshed out more, but there are definitely people looking into this approach.

Who is your PM or senior assigning the tasks? You need to take this up with them – everyone always needs a couple of quick hits in their back pocket. When you stall out grinding on task after impossible task it kills your motivation and productivity, and that’s your boss’s job to fix.

What’s a tortoise?

It’s actually 1.58bits weirdly. The addition of 0 here was the significant change/improvement in this experiment. The paper isn’t too dense and has some decent tables that explain things fairly accessibly.

The EFF has published some suggestions in the past, I’d generally trust their perspective.

I wonder if content should carry some license automatically. Like if you agree to the TOS of an instance, your comments are automatically all licensed as CC:BY or CC:O or the more restrictive license of choice of the instance owner.

I read the article yesterday and have been exposed to it a dozen times since, but I still laugh every time I see the phrase “racially diverse nazis”

Fair enough. ML ⊆ AI then. But these days when everyone talking breathlessly about AI taking away jobs they’re almost always taking about LLMs. This article is about ML in particular which is a different discipline with different applications.

ML =/= AI. There are legit uses for ML that don’t have anything to do with LLMs and the cloud. I worked on an ML project 3 or 4 years ago to listen for fan noise that might indicate that it was about to fail soon. We trained a tiny GAN on good and bad noises. It runs on a tiny CPU, locally. Highly specialized work, and I have to imagine there are and will continue to be lots of similar opportunities to bring efficiencies by getting computers to make good observations and decisions - even if only about “simple” things like “does this thing seem like it’s about to break?”