> The approach, detailed in a paper presented at the International Conference on Machine Learning, achieved 100% accuracy in identifying models specialized for CSAM generation.
I know some reasons for 100% accuracy in machine learning, first of all the test set leaking into training data. Or you just accept a silly high false positive rate.
When I was an admin I liked to joke that if you guarantee more than 5 nines, then you are an insurance company and you are planning to pay the penalty instead of actually fulfilling your promise, here the principle is probably the same.
Pretty sure the reason is, that anybody who could actually do the changes thinks works for me, the alternative is a lot of work for little technical gain.
And besides once you start your tablet for Linux Projekt you have to touch everything, so that is a nice opportunity to finally refactor the wacom_debug_2 mess and pretty soon you're drowning in yak shavings.
There's something funny about complaining about cheating in a hacking competition.
Well actually I get it. In cycling motor doping, putting a hidden engine into the bike, seems more offensive than regular doping. I think this is because there is a continuum from eating well to taking supplements to injecting stuff, but having a engine breaks a fundamental idea about cycling. Similar hacking is about cleverly abusing the rules.
> “Malawi is poor because its agricultural productivity is low” is closer to a tautology than an answer.
I used to make the same error. Thing is in the natural sciences this looks like circular reasoning, but in the humanities quite commonly things just hang in thin air. Case in point, the banker looks at the poor farmer and denies credit because the guy doesn't have capital, and the farmer doesn't have capital because he can't get credit. Thing is, both sides understand that.
dig manages to dig out ips for heise.de and tagesschau.de but not spiegel.de amazon.de and google.de However, dig @8.8.8.8 has still amazon.de cached, unlike 1.1.1.1 so perhaps Google to the rescue?
[Edit] After playing around with it, google seems to have at least some pages cached. After setting dns to 8.8.8.8 amazon.de and spiegel.de work again, my blog does not.
They own eBay + GME + some financial alchemy. If you aren't a financial wizard you should assume that the value of the financial alchemy is negative. (Because 99% of the time it is.) Now, what are the synergies of eBay + GME that outweighs the chaos caused by the merger and the finance stuff?
Well one of the three is not like the other, three are very accomplished physicists, one is a youtuber who lies about the game to get clicks. (And we know she lies because she used to play the game quite competently.)
And sure enough they start talking about interpretations of QM.
No, but actually yes. Guardrails usually refers to a step in the inference pipeline where you check that it is consistent with policy while open weight models don't come with such a multistep pipeline. However open weight models are aligned during RLHF step, which means they will refuse to discuss overly sensitive topics. There are techniques to remove those, if you look for uncensored models on huggingface.
My theory is, that a lot of security bugs are low hanging fruit for LLMs in the sense that it is a bit tedious but not that hard pattern matching. (Let's see the free occurs in foo(), so if I trigger bar() after foo() then I have a use after free, that should be possible if I trigger an exception in baz::init().)
If we go with that 15% of household budget, that would be something like 10k and people used to buy a lot less clothing back then than they do today, probably less than 10 items a year. Now, if you take 1k you can probably find a tailor who makes you well tailored trousers, and another 1k for a jacket. This is not how we shop for clothing today, the productivity gains go into fast fashion, being able to buy trousers each month.
I've seen an interview with a food stylist and she pointed out that when putting pins and needles into a burger, then you have to pay real attention to that burger because you have a really great looking burger, full with pins and needles.
Hey, it's the semantic web, but with ~~XML~~, ~~AJAX~~, ~~Blockchain~~, Ai!
Well, it has precisely the problem of the semantic web, it asks the website to declare in a machine readable format what the website does. Now, llms are kinda the tool to interface to everybody using a somewhat different standard, and this doesn't need everybody to hop on the bandwagon, so perhaps this is the time where it is different.
HN chat token: hnchat:tzKBG7BDZRVtbFk9bMBc