

what the fuck is happening
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moved from anise@quokk.au because fuck ai


what the fuck is happening


is not ø 0, {} 1, {{}} 2 and {{},{{}}} three? or do we not count ø


{{},{{}}} (I think)


we used to call that Mickey




There’s also massive heatwaves in the Netherlands and Germany, there might be more that I don’t know about
e: in France, Italy and Britain also. Not in eastern Europe yet, at least not where I am currently


I am on thunder and it is weirdly cropped for me also
when selecting any single person there are multiple things about them that are not average (plays violin/is gay/has 3 cats/…) yet we would still denote them as average people. So it very much does feel like the difference is a moral judgement


wow, he had an addiction? that’s crazy. surely having an addiction makes you evil, surely.


looks cool, might join somewhere next week!
I… don’t think saying looksmaxxing is in some way trans is meant as an insult? The way we tend to think of gender dysphoria is as a diagnosis specifically meant for people experiencing a different gender than the one assigned to them at birth, ie. trans people. A lot of people are now starting to point out that dysphoria is experienced by a lot of cis people as well. Although I suppose the guy in the comic almost definitely exists and I don’t want to run defense for him so: fuck that guy.


if you like them in a gay way yes
I don’t think a lot of strangers on the internet are going to convince you. If you actually want to change your view it seems more productive to me to seek out information about LLMs* (it’s functioning, the people currently behind it, how large models actually get powered, etc.) on your own than to argue endlessly with people here.
*preferably without using one


I’ll see when these hashes materialise, until then I have to assume LLM companies are lying always about everything.
See, the problem is that I am not talking about human researchers, I am talking about other methods of automated fuzzing. I believe mozilla is overstating how useful the LLM has actually been. This has many reasons, one of them being that their main source of income is trying to become an LLM company. If that project fails said company might have to make some unfortunate cuts.


The problem is that I do not believe a word that anthropic says. They say this is only 1%, but do they have any proof to back it up? I am also sceptical of the claim that it can “look at the entire repo and how it all works together”. It can produce an approximation which could give it an advantage over more traditional fuzzers, but most reported bugs are still very local(and/or non-existant) and easily ruled out if it could actually model the naur theory behind the code.


The problem is that not “many actors” are able to attack at this scale, because running a scan at this scale is extremely expensive. If I were to run a thousand fuzzers on a piece of code I will almost certainly find a vulnerability, but I can’t do that because of the prohibitive cost. Anthropic is essentially buying marketing by doing this to make their product seem more useful than it is.


It’s really not. Out of the 23 000 something vulnerabilities claude claims to have discovered in open-source projects only 3-500 have been reported to repo owners, only 65 have been confirmed and given any rating at all. This is not any more efficient than any other form of fuzzing, they just did a whole lot of it.
I love Asbestos, very gender design
right, I took {} as {ø} implicitly