God, I hope that comes soon. Like, tomorrow soon

In short, it was one of the most spectacular disasters in the history of music festivals. The advertising showed that even the cheapest tickets would get some fancy rooms. Sold out quickly, but all the money was nowhere near enough to even pay for the stage + performers. The island didn’t have housing and they “improvised” some tents for the attendees (they used relief tents like those you see in displaced populations). No food, no water, no bathrooms.

Just yesterday I saw a post on lemmy that said that turkish xitter users were migrating to bluesky. Didn’t bother opening to see the comments or read it. Seeing this now, all I can think is “well, what did they expect?”

I’ve heard people complain a lot about its resource usage on the server side, that the advantages of it running on elixir are moot unless the instance has over 1k people. The web UI leaves a lot to be desired, true, but at least it’s not such a client-side resource hog/browser crasher as misskey/sharkey

Last panel has strong Carl vibes

I feel like a celebrity now 🤩

Hard to belle-ieve

There’s quite a discussion about that further elsewhere in this thread. To me, the combination of vector-like thick lines with that background color, the characters having such mute expressions and there not being one actual optimist.

Others also pointed to the “weirdness” that is the lines of the characters’ arms becoming part of the table, which I didn’t notice at first.

Perhaps more importantly, it does not look like the “author” has “zero drawing skill”, but actually knows how to make vector art, even if relatively simple. That makes the problems more glaring

I’ve been exposed! 🤖

Sounds like you’re walking a metaphorical minefield

Not OP, but let’s make this better:

PS: i doubt anyone here would honestly say “damn, that’s beyond my skill”, which goes to show that “not everyone can draw” is a bullshit argument for using AI to make comics

Like I never heard a programmer bemoan that they do all this work and it just vanishes into a void where nobody interacts with it

Where I work, there are at least 5 legacy systems that have been “finished” but abandoned before being used at all because of internal politics, as in, the fucker that moved heaven and hell to make the system NOW got fired the day after it was ready and the area that was supposed to use it didn’t want to.

We’re as cooked as artists (when asked to do shit jobs for non paying customers)

I don’t mind paying taxes, it’s the price for the government to work.

Well, it’d be great if the government actually did it’s fucking job and if the people with money didn’t spend extra to make govt work for them and against the poor.

See, the trick is that calling it a tariff hides the fact it’s an IMPORT TAX, paid by the people within the IMPORTING COUNTRY

What was that they said during the stupid reddit thingy with stock markets? “It’s not a casino”?

Oh my fucking god, I’ve been using qbit and never went beyond setting up the barebones basic. Thanks a lot for talking about this feature!

For anyone interested, it’s in the View menu -> Search Engine (should be 5th option). It’ll ask to install Python if you don’t have it already.

After that, you should see a new tab on the upper left: Transfers / Search. On the bottom right, click the “Search plugins” to let it download/install some. Presto!

Anthropic made lots of intriguing discoveries using this approach, not least of which is why LLMs are so terrible at basic mathematics. “Ask Claude to add 36 and 59 and the model will go through a series of odd steps, including first adding a selection of approximate values (add 40ish and 60ish, add 57ish and 36ish). Towards the end of its process, it comes up with the value 92ish. Meanwhile, another sequence of steps focuses on the last digits, 6 and 9, and determines that the answer must end in a 5. Putting that together with 92ish gives the correct answer of 95,” the MIT article explains.

But here’s the really funky bit. If you ask Claude how it got the correct answer of 95, it will apparently tell you, “I added the ones (6+9=15), carried the 1, then added the 10s (3+5+1=9), resulting in 95.” But that actually only reflects common answers in its training data as to how the sum might be completed, as opposed to what it actually did.

Another very surprising outcome of the research is the discovery that these LLMs do not, as is widely assumed, operate by merely predicting the next word. By tracing how Claude generated rhyming couplets, Anthropic found that it chose the rhyming word at the end of verses first, then filled in the rest of the line.

Instagram competitor? Isn’t TikTok itself the competitor to Instagram that made the latter become another stupid shit that’s all about short videos? Was notes old Instagram?

Meta profits from these accounts, it also profits off scams and fraud posts, because they pay for ad space. They have literally no incentive to moderate beyond the bare minimum their automatic tools do