You’ve got to be careful with rolling your eyes, because the parallelism of the two eyes means that the eye roll can be twice as powerful ^1

(1) If measured against the silly baseline of a single eyeroll

I read this article a few months ago that I found quite interesting: Original link Unpaywalled link

The manufacturer in this blames the DEA, and whilst I don’t trust a pharmaceutical company to do anything other than ruthlessly maximise profits, in this case I’m inclined to believe this depiction of the DEA as the overly persnickety bad guy (because I have even less reason to trust the DEA)

I wonder what would facilitate people to make their own solutions in this way. Like, I have made a few apps or automation things myself, but if I look at my “normie” friends who don’t have the level of tech familiarity that I do, they struggle with whatever out of the box solutions they can find. Poor IT education is a big part of this, and I’ve been wondering a lot about what would need to change for the average “normie” to be empowered to tinker

Yeah, I’m super salty about the hype because if I had to pick one side or the other, I’d be on team “AI is worthless”, but that’s just because I’d rather try convincing a bunch of skeptics that when used wisely, AI/ML can be super useful, than to try talk some sense into the AI fanatics. It’s a shame though, because I feel like the longer the bubble takes to pop, the more harm actual AI research will receive

Eh, it depends on what we count as “AI”. I’m in a field where machine learning has been a thing for years, and there’s been a huge amount of progress in the last couple of years[1]. However, it’s exhausting that so much is being rebranded as “AI”, because the people holding the purse strings aren’t necessarily the same scientists who are sick of the hype.

[1] I didn’t get into the more computational side of things until 2021 or so, but if I had to point to a catalyst for this progress, I’d say that the transformer mechanism outlined in the 2017 paper “Attention is all you need”, by Google scientists.

The words it chooses to capitalise is funny. For all the training on online stuff, it doesn’t get that it should be calling you a fucking IDIOT for even asking such a BASIC question about grilled cheese!

I personally don’t have nearly as much of a problem with that than I do with Reddit making AI deals. I’m still not keen on the idea of having anything I interact with being scraped for training AI, but aside from only interacting in closed wall spaces that I or someone I trust controls, I can’t change that. That’a not great for actually interacting with the world though, so it seems that I need to accept that scraping is going to happen. Given that, I’d definitely rather be on Lemmy than Reddit.

And this way, who knows, maybe we’re on our way to the almost utopian “open digital commons”

I was talking to a friend recently about this. They studied medieval English and aren’t especially techy, besides being a Millennial with techy friends; I said that merely knowing and using the term LLM correctly puts their AI knowledge above the vast majority of people (including a decent chunk of people trying to make a quick buck off of AI hype)

Neat idea, I hope I’ll remember this when I’m setting up my next server.

(RTFM = Read the Fucking Manual)

Adding this because I only learned this acronym just last week, and wish to share the knowledge with anyone else like me)

Oh man, Clockwork mod, that takes me back. Although I had my android phone for a while before I built up the courage to root it, in part due to stories like yours

Not got any computer related stories from my messed up family, but I can relate to many of the vibes here. Solidarity on the family front.

Oh no, that’s horrifying.

Man, that’s a really dumb story that I find really relatable despite not having had any experiences like that. It feels like it’d be very in character for me though. Thanks for sharing, it helps me feel less silly in the various times where I’ve messed up (of which I am struggling to recall specific examples, but whatever brain part is responsible for embarrassment can remember, apparently)

I agree - it can be overwhelming to constantly be reminded of areas in which one is lacking in knowledge (like when having to learn how to solve a relatively simple error), but the availability of learning resources really helps avoid demoralisation.

I learned about this a while ago and meant to check it out, but forgot to. Thanks for the reminder!

I agree. I’ve been trying to move towards open source software for ideological reasons, and I’m astounded by how much my quality of life has been improved. I end up sounding like an evangelist for software that I love because I’m so shocked it’s not more well known.

“analyse your scan for content to suggest a file name”

That’s a ‘Yikes’ from me

Yeah, that’s my sense too, as someone within low-level academia. Bibliometrics and other attempts to quantify research output have been big in the last few decades, but I think that they have made the problem worse if anything.

It’s especially messy when we consider the kind of progress and contribution that Nobel prizes can’t account for, like education and outreach. I really like how Dr Fatima explores this in her video How Science Pretends to be Meritocratic(duration: 37:04)

I agree, this is great. I really liked:

“Most user interfaces are terrible. When people make mistakes it’s usually the fault of the interface. You’ve forgotten how many ways you’ve learned to adapt to bad interfaces.”

and

"Whenever they start to blame themselves, respond by blaming the computer. Then keep on blaming the computer, no matter how many times it takes, in a calm, authoritative tone of voice. If you need to show off, show off your ability to criticize bad design. "