171 karma · joined January 24, 2017
Which isn’t to say this optimization is a bad idea, just to say it’s sort of a straw man to imply coding in Rust to take advantage of safety guarantees is “serving Rust”
Processed food may not be cheaper, but the flavor:effort ratio is waaaaaay higher.
(semi-serious question because I’m currently very opposed, but I’m afraid of my future decisions)
However in the context of this article “relocated the word” is both literal and precise. The word’s target is in a different physical location.
“Quietly” is also AI-coded but does fit in the overall aesthetic of the article.
In particular, you've mistaken the result of the second study.
> The vaccinated patients were even older, which makes it even worse, because those are older women who have had more time to be pregnant.
^ this is incorrect. Indeed according to the study, the vaccinated patients are younger (33.1) than the unvaccinated patients (37.4), which could easily explain the difference in gravidity. The authors do not report having controlled for age when computing the gravidity effect.
Note also that the entire study was conducted with a population of patients seeking fertility care, so the study can't support the general claim "gravidity is halved for the HPV vaccinated" even were the significance level to survive age-controlling statistics (which it likely would not).
There’s presumably plenty of code bloat in the kernel, and while no human would ever scan for bugs in a corner of the kernel that hasn’t been used or touched in decades, AI 100% will. And while those bug reports might be useless as bug reports, they seem promising as “why is this code even here?” flags.
I don’t know about impossible but it’s definitely not a straightforward read from the post-training weights as you’re implying, unless you’re aware of some technique I’m not aware of.
The closest you could get would be the weight differential from training with a given work. But that’s massively dependent on training order, so that it’s certainly not at all a good measure of “contribution.”
Then the Ferrari image loaded. Wow.
It really is a game of spot the difference. A difficult game.
edit: I don't want to reduce hypercars purely to their "Wow!" factor, but a huge huge part of their value is definitely the feeling they evoke when you see one out of the corner of your eye and your head snaps around. This Leaf/Luce side-profile similarity is completely antithetical to that "Wow!" factor.
(Which isn’t to say I think the system as it is is good, just that there is a good)
The part of this that could totally be true is that a clinical application somewhere along the way "independently" "reinvented" it. There's a hilarious collection of peer-reviewed journal articles out there inventing a "new" method of calculating the sizes of shapes and areas under the curve. The method involves adding up really small rectangles. (I think a top comment already mentioned the Tai article [2])
[1] source: my doctoral advisor was a really really old theoretical neuroscientist who trained as an electrical engineer and mathematician. If you want a more concrete example, the work of Bard Ermentrout on neural criticality starting in the 70's or 80's. He read a lot of physics textbooks.
[2] https://science.slashdot.org/story/10/12/06/0416250/medical-...
I don’t think this is really an issue of censorship to a lot of people (though that may be how it shakes out in the government) but rather of control over their digital environment and sanity.
EDIT: I don’t think this is what I’m remembering, but it has concrete numbers somewhat lower than I thought (48% of teens think social media harms people their age, but only 14% think it harms them personally) https://www.pewresearch.org/internet/2025/04/22/teens-social...
Capitalism works when a market works; capitalism fails when a market fails. Healthcare is a great example, because there’s an obvious and inherent imbalance in demand vs supply. Firefighting is another great example. These also have externalities to the community as a whole that everyone gets, even when you don’t pay/need the service; so it makes sense to make everyone pay (taxes). Even if you never have a child, even if you send your kids to private school, you live in a society that could only exist because of a (formerly, relatively) high standard of public education. So everyone pays for schools.
The idea of government bureaucrats lining their pockets is also (formerly, relatively) ridiculous: who would get into US government bureaucracy to make money? They are all (formerly, relatively) doing it almost uniformly because they believe in the mission, because they would almost all make more money going private.
(YMMV: this was my experience as of three or four months ago)
Have you played at all with thought-to-voice? Intuitively I’d think EEG readout would be more reliable for spoken rather than typed words, especially if you’re not controlling for keyboard fluency.
[1] https://pmc.ncbi.nlm.nih.gov/articles/PMC9491465/#:~:text=PM...
It’s maybe a nit-pick, since most JS is run sandboxed, so it’s sort of equivalent. But it was explicitly what GP asked for. Would it be more accurate to say Electron is secure, not JS?
That was never possible before. Historically, conversations didn’t leave records, and when they did, they were trivially burned. There was no sense that the police should have access to the records because there were no records.
The technical and ethical problems of this “common sense” are far from obvious to most whose primary exposure to and mode of thinking about policing and technology is what we see on TV.
But even ignoring that, the gulf between zero days and plain-text LLM prompt injection is miles wide.
Zero days require intensive research to find, and expertise to exploit.
LLM prompt injections obviously exist a priori, and exploiting them requires only the ability to write.
This also is ignoring that ideally business logic is implemented as a combination of smaller, stabler components that can be independently unit tested.
Maybe to answer my own question, LLM developers have one, potentially two advantages over third-party tooling developers: 1) virtually unlimited tokens, zero rate limiting with which to play around with tooling dev. 2) the opportunity to train the network on their own tooling.
The first advantage is theoretically mitigated by insane VC funding, but will probably always be a problem for OSS.
I’m probably overlooking news that the second advantage is where Anthropic is winning right now; I don’t have intuition for where this advantage will change with time.