What music have you been playing recently?
Do you play a musical instrument? However well or badly, here's a place to talk about what you've been practicing or performing.
Do you play a musical instrument? However well or badly, here's a place to talk about what you've been practicing or performing.
When uploading an app I got this email:
ITMS-90068: MinimumOSVersion too low - This app has a MinimumOSVersion of 13.0. Starting in Spring 2027, all iOS apps must have a MinimumOSVersion of 15.0 or later in order to be uploaded to App Store Connect or submitted for distribution.
These are old iOS versions, so this policy isn't going to affect many people but I thought I'd post anyway. I still have an old iPad with iOS 12 that's usable for reading and media. I think some apps are still supported and getting updates surprisingly. As a dev I still update Three Cheers for Tildes to support iOS 12 and up. No idea if anyone other than me uses that old version though.
I like supporting the older iOS version because it means I can keep using this old hardware. Also knowing something runs on those old devices with okay performance, means it will be buttery smooth on any moderately recent iPhone/iPad. I mean, I can probably still install apps on it for my own personal use, just not distribute on the App Store.
On the other hand supporting iOS 12 is just not practical and not really a good use of developer time, so this had to happen at some point.
Have you watched any TV shows recently you want to discuss? Any shows you want to recommend or are hyped about? Feel free to discuss anything here.
Please just try to provide fair warning of spoilers if you can.
What food and drinks have you been enjoying (or not enjoying) recently? Have you cooked or created anything interesting? Tell us about it!
I'm looking for a new laptop as my current one is falling apart, and one option that seems quite tempting at the moment is getting a desktop machine, leaving it running away in the background, and then accessing it using remote desktop software from a laptop (or even tablet) most of the time. My logic is that I want a fairly decent device for programming on and occasional games, but I also want something portable that I can carry into every room of my flat. I've also been experimenting more with Tailscale and using my laptop as a remote development machine and my phone as a dumb terminal while traveling abroad, and that's worked fairly well, so I'm interested in how far I can take this concept. Plus the idea of also being able to use my main device as a small homelab is kind of appealing as well.
The plan would be:
Things I'm concerned about:
Does anyone have any experience with this kind of setup, and is this something that would reasonably work, or am I completely missing something obvious that makes this a terrible awful idea that nobody should do?
Thanks in advance!
What have you been playing lately? Discussion about video games and board games are both welcome. Please don't just make a list of titles, give some thoughts about the game(s) as well.
In all the hype and debate and excitement and frustration around AI, I think sometimes the fact that we've achieved something really cool gets lost. I want to talk about that a bit, which I'll try to do in a simple way, without too much math or computer science.
There's a surprising amount of intelligence encoded in applied language. To me that's the most remarkable insight in LLM technology. Except it's not really surprising at all. The whole point of language is to encode intelligence. Communication, at its core, is about sharing intelligence. LLMs agents are a way of turning the intelligence encoded in language, particularly written language, into useful work.
You might imagine that language is just the starting point when building LLMs. That it gets converted into computer stuff and then it's not language anymore. But in a way it's language all the way down. Distill language into math and then run gradient descent on it and the intelligence (for lack of a better term) bubbles out.
Forgive that hyperbole, but there is something a little bit magical about it, and the technology is entirely unmagical. The magic is in the language.
At the core the tech is pretty simple. First you go and get all of the language. Just completely idiotic amounts of applied language. Because there's a threshold: if you don't use enough language you don't get a useful result. The more language you use, assuming it's good quality, the more useful the result.
After you have all of the language, you convert it into tokens, which are essentially pieces of words represented as numbers. You also compute a compressed version of the relationships between the tokens. The frontier labs don't say how much this costs publicly anymore but it's safe to say hundreds of millions in compute are required for this process. Each time you do it.
Once you've determined the token relationships, you've pre trained an LLM. You have the initial weights. At this point your LLM can output credible prose pretty reliably when you run inference on the weights. Meaning that you can take a given set of language tokens (a prompt) and determine which token should come next, over and over again, until you have a response. The fluency of the prose can be uncanny, and there are latent tendencies towards useful output, but you can't really do much with it yet.
The next step, fine tuning, modifies the weights in order to nudge the inference towards useful things like instruction following, tool use and reasoning. Or a simulacrum of reasoning. Fine tuning is a massive, multi step, iterative process that turns your LLM into a useful tool that can do more than output believable prose.
Something that's really fascinating to me about fine tuning is that what you're training is still the language relationship weights, and what comes out during inference is still language. But now it's language that is more likely to result in useful output and behaviors. Language is the substrate that LLMs reason through. A model that's more likely to infer the words "but what if I look at it another way" is more likely to consider multiple possibilities. A model that reliably infers language around tool use in appropriate situations is an agent. The behavior is encoded in the language.
After tens of millions in fine tuning costs, assuming you got it right, you have the core of a LLM that can function as an AI agent. You can put it in a harness and ask it to do things in the language of your choice and it will actually be able to do them a shockingly high percentage of the time. It can even do things that weren't explicitly part of the training. That's something which has never happened before outside of science fiction. Until recently it was one of those computer sciencey things that was probably going to happen someday, after we were all dead.
It sucks that this tech revolution is being driven by the capital class, and that it's happening as a mad dash for market domination and golden IPOs. In a more perfect world technology derived from collective human intelligence would be a public good rather than a profit driver.
But nevertheless, the ability to imprint some part of human intelligence into an autonomous agent is a remarkable achievement. One that we can't yet see the full size of. And it's possible not because we typed instructions into an interface, but because we've spent centuries encoding our intelligence into language.
What have you been watching and reading this week? You don't need to give us a whole essay if you don't want to, but please write something! Feel free to talk about something you saw that was cool, something that was bad, ask for recommendations, or anything else you can think of.
If you want to, feel free to find the thing you're talking about and link to its pages on Anilist, MAL, or any other database you use!
Have you seen any memes or shitposts lately (...or not lately) that you loved or otherwise found super hilarious? Share them with the community!
Well, the time is about up for this month's CGA, so I hope everyone that gave Lufia II a shot enjoyed it and defeated the Sinstrals forever. JK, it's a prequel, we know they came back :)
Please feel free to talk freely about the game in the comments and let everyone know how far you got, what you liked, and what you didn't.
I was able to finish the game and I beat the ancient cave (my true goal) on my second attempt. Did anyone else give the ancient cave a try?
Our next host is u/Boojum with the amazing game The Legend of Zelda: A Link to the Past. I'm super excited about this one, even though I've played it a dozen times, as it is my favorite Zelda game.
This topic is part of a series. It is meant to be a place for users to discuss creative projects they have been working on.
Projects can be personal, professional, physical, digital, or even just ideas.
If you have any creative projects that you have been working on or want to eventually work on, this is a place for discussing those.
I'm curious about people's experiences with Opera GX, particularly because it seems to be largely absent from broader discussions about web browsers despite being probably one of the most advertised online.
I tried it for a while, but I didn't find that it performed noticeably better than other browsers. My main impression was that it felt somewhat clunky, and that many of its more unusual settings and customization options added complexity without improving the actual browsing experience. I can understand the appeal of its visual style and gaming-oriented branding, but in practice, those features mostly felt unnecessary to me.
I've used Firefox for the past couple of years and have been happy with both its performance and general usability. More recently, I've started using DuckDuckGo's app on my phone, and I'm considering trying the desktop version as well.
For people who use Opera GX regularly, what does it offer that keeps you using it? Are there features that become more useful over time, or is its appeal mainly the interface and customization?
I'm also interested in why it rarely appears in browser recommendations or comparisons. Is that because of technical concerns, Opera's reputation, privacy considerations, or simply because it occupies a fairly specific niche?
I've always enjoyed collections of songs or musical pieces that weave a leitmotif throughout the progression of the entire album, whether it's up front and center or just discreetly referenced here and there, but I've also historically been crap at keeping track of them, so I figured I'd get recommendations. Do you know what I'm talking about? If so, what are your favorite modern albums that feature or hide a recurring short musical phrase? Videogame and film soundtracks are not only welcome but encouraged. Link if it's available online!
Examples:
Have you watched any movies recently you want to discuss? Any films you want to recommend or are hyped about? Feel free to discuss anything here.
Please just try to provide fair warning of spoilers if you can.
This is the place for casual discussion about our pets. Photos are welcome, show us your pet(s) and tell us about them!
Me and my friends are going to eat at an Indian restaurant, not our first time, but I seem to be the only one who outright hates onions, others either like it or find it ok, while I'm firmly in the "Only correct amount of onion in food is no onion".
I know some Indian dishes like Curry or Masala have onion in them, but they are well masked, so I can't detect them.
In salads, even small amounts is bad, If I eat one and don't notice it with my eyes, the first reaction often is feeling the "smell" or odor spread through every pore in my mouth, quickly rising to my "bad" eye, making it tear or feel weird, then I start to smell it and taste it. So raw onions are a no go.
Caramelized onions are not much better, their slimy texture is gross and the taste masks everything and taste/odor sticks to the mouth.
But when is finely diced and thoroughly cooked like on some dishes that uses them in mined meat or chicken, can work, but it can be detected if they are large enough. But at that point why have it?
Onion rings are also inedible.
It feels tempting at times to just say I'm allergic, but I have never done that.
It's not an allium thing , I like garlic.
Chives/Leeks/Green Onions/Scallions taste distinctly of onion, but they aren't as foul. But using them in excess makes them closer to normal onions. But I like them when used in cheesy fries with other toppings as well.
I'm curious, do other people who strongly hate onions and may or may not have been on r/onionhate before, have that threshold where it is OK? Or is it full dislike?