4,009 karma · joined March 30, 2022
multilingual dictionaries (WIP): https://yap.town/d/
My website: https://chadnauseam.com My public key: nauseam.eth my email: andre@popovit.ch my discord: https://discord.gg/mpgqfsH
Except for gain maps :)
I don't really mind because I don't use them anyway. I prefer to use the client's tonemapper. But they are a useful feature that's not supported by (chrome's implementation of) jxl
In popular consciousness, maybe. When people think image they thing jpg. But most websites you use aren't delivering images as jpg. Most sites care about saving money on bandwidth and their site loading fast, and because of that they tend to use webp and avif, which are much smaller for the same quality.
It's just sad. I sometimes help kids with math, and it's amazing how screwed they are. Like, smart kids with good grades who are totally unable to do basic manipulations with fractions. I mean questions like "write 25% as a fraction". They are getting absolutely nothing from math classes. How could they? Even the best teacher in the world can't pause class for everyone when they realize that one of their students is missing some foundational concepts. That student is just going to get left farther and farther behind, and they will never catch up. It happens to almost every student at some point. They'll get sick for a week or just have their mind on other things, miss some important concept, and then be left behind forever.
I honestly have a hard time imagining how we would possibly make the situation any worse with technology honestly. But if you just took Math Academy and made students use that instead of their math classes, I bet 99% would have better understanding and fluency with math than they do now.
It's really just climate change. (Ocean warming is what causes bleaching.) Luckily, since the 80s we've had the technology to generate energy without releasing greenhouse gases. I wish more people knew about the harms caused by climate change because maybe if they were they'd be more interested in preventing them.
I don't know how to explain this style exactly. I think it's supposed to sound grizzled or cynical or jaded or something. It reads like they're trying to do an impression of Tracer Bullet from C&H:
> Yeah, that's me, Tracer Bullet. I've got eight slugs in me. One's lead, and the rest are bourbon. The drink packs a wallop, and I pack a revolver. I'm a private eye.
Anyway, it's amusing when Bill Waterson does it but when I'm hoping to read something interesting about how malware is implemented it's a little less fun.
He cofounded the Machine Intelligence Research Institute, an organization focused on AI alignment, in 2000, way way before it was a trendy topic.
He's also partially responsible for popularizing ideas such as the orthogonality thesis and instrumental convergence.
> Isn't he just some random dude on the internet?
Not really, most random dudes on the internet were not researching AI alignment in 2000.
> Why do people care what he says?
Many people were introduced to the concept of AI alignment thanks to him, so they are naturally interested in reading his reaction to progress in the field.
It's crazy to me how care there is in most of these vibe-coded vibe-coding harnesses. I don't like oai's models much but I have to say their UI has by far the best attention to detail of any major player.
> Anthropic: you can't use our product to fully-autonomously make decisions that affect human health, finances, etc with no human in the loop.
> victor9000: If you review a draft document with claude, anthropic will send your entire file to opposing counsel
What is the connection here? Anthropic has obviously never done anything like this and it's not indicated that they will by the thing you quoted.
I recommend "What Makes Music Sound Good?" by Prof. Dmitri Tymoczko: https://dmitri.mycpanel.princeton.edu/files/pdfs/MUS105hando...
There is a part near the beginning where he derives the diatonic scale from first principles. (There is a sequel as well, and a book if you prefer to read it in book form)
This honestly doesn’t happen to me much anymore. In what areas do you find LLMs routinely make stupid mistakes?
This is exactly what ARC AGI tests
> And then general intelligence is an ability to apply that across a wide variety of domains.
My experience with Fable is that it can certainly apply that in a wide variety of domains
> However, last I checked, a seemingly very intelligent LLM still struggles to play Chess at a basic level
People also struggle to play Chess at a basic level. They only succeed by studying the game for a long time. I will concede that humans can do this and LLMs generally cannot.
> it is a literal and useful description of anthropic that it is an organization that loves and worships claude, is run in significant part by claude, and studies and builds claude. this phenomenon is also partially true of other labs like openai but currently exists in its most potent form there. i am not certain but I would guess claude will have a role in running cultural screens on new applicants, will help write performance reviews, and so will begin to select and shape the people around it.
Hmm, doesn't it take an expert to explain why those cases are exhaustive, and why the code that checked them is correct?
Tangentially, I'm not a mathematician but I wonder if one "opaque" proof that is too complicated for anyone to understand, but that we know is correct via formal verification, might end up being built on with "transparent" human-understandable proofs. For example, it's my understanding that there are many conjectures that have been proven true conditional on the riemann hypothesis being true. In that case, an opaque proof of the riemann hypothesis would enable those conjectures to be known and built upon
What on earth are you asking it?