Thank you for your work! A native Jellyfin client is pretty much the only reason I still have a Roku.

Blissfully unaware, thanks.

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.

Removed by mod

From the slide deck (which is well worth a read IMO), "The Trust Index is the average percent trust in NGOs, business, government and media. ". The same deck indicates that government is seen as, “as Far Less Competent and Ethical than Business.” So what this really tells me is that business (as a whole) is doing a FAR better job of marketing/PR than governments are, which is to be expected I suppose.

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

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.

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.

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?”

Is this old enough to be called a classic yet?

Network effect. Gradually over time my whole extended family wound up with iphones for one reason or another, and Android phones would consistently break our group threads. The last few holdouts (not ideologically, they just didn’t need new phones) wound up switching to Apple afterwards to make everything smoother for the rest of us.

Yup, the PyPush python-based proof-of-concept can run pretty much anywhere there’s python.

I don’t know about the app itself, but the blog article links to the PyPush python-based proof-of-concept, which you can run pretty much anywhere.

Their “how it works” blog article is worth a read - they’re using a blackbox reverse engineering of the protocol and re-implementing it natively in the app, so there are no man-in-the-middle servers. Impressive software engineering for sure.

Having a hard time determining whether this is sarcasm or not. Then I see the phrase “JavaScript Engineer” and become doubly confused.