Comment Concept requires upgrading (Score 1) 24
I will refer you all to the movie Real Genius.
I will refer you all to the movie Real Genius.
You don't monitor all the ALPR in the nation live - you set up a system where every ALPR installation has a 'wanted' database and reports hits. Typically the list would be updated daily and be built from a mix of local, state/province, and federal records. The systems have a mandatory retention policy to only keep hits against the wanted list.
But then you get somebody who catches on to the great idea that it should be retroactive. Force all those endpoints to hold their plate data for as long as the storage holds out - so you can search for where a plate has gone over the course of the last few weeks, or months... hell, maybe years. And you don't just watch for hits against the wanted list, you want to be able to send out queries like, "select all plates in common between these sites and dates" so you can find what vehicle was at every similar crime you've just figured out is probably the work of the same person or crew.
Then they want to throw the retention idea out the window and put cameras at every intersection and highway on or off ramp, and nobody involved worries about how that's absolutely going to be abused by everyone who has access to it.
I know, he didn't seem that human, but I'm pretty sure he is.
On the one hand, love seeing Musk lose, on the other hand, I hate seeing Altman win..
yeah, people have been calling out specific trades on Twitter for months.
This is just an excuse for the Establishment's AI Control Grid.
"We must completely destroy your Liberty for your Safety."
People better wake up fast.
The problem is that you have hundreds of folks now running the exact same checks with the exact same tools and all submitting without a care for what any of the others are doing.
Dupes are nothing new, but the scale of dupes becomes gigantic because now everyone thinks "I can be a kernel security researcher now" and all have the same tools at their disposal that tend to find the same things.
As to the 'genuine bugs', don't know about this current crop, but historically "security researchers" have already been bad for "crying wolf" and reporting non-issues that they didn't understand. The highest profile I can think of was when some "security researcher" started telling everyone in the world that nintendo stores passwords in clear text because he thought the 'OK' button only activated when the password entered matched successfully, but it just lit up as soon as *any* password that passed the rules was entered. AI code review is still pretty inclined to report non-issues in a similar way, so I imagine not just dupes, but lots of nothing coming along too. Those would be *harder* to have a system automatically handle, since a human actually has to understand the report and reconciling with reality. An LLM isn't going to be very good at dismissing bogus LLM complaints.
Well, it would be nice if the submitter was on the hook for the token budget to find dupes, but practically speaking the project probably runs it.
I would probably not have an LLM automatically merging duplicate tickets. The flow should be 'pass on to human review as no apparent duplicate was detected' or 'pass back to submitter with indication of probable dupe, to let the submitter decide if they have something to add to the original ticket and/or to subscribe to that ticket. I have seen enough problems when *humans* unilaterally merge tickets that end up being unrelated, and that clutters up and confuses an issue. Don't need LLM that may be pretty good, still would be even worse than the humans at messing up 'dupe or not'.
It's a matter of what the LLM operator is pointing it at.
The LLM operator submitting the bugs aren't paying attention nor feeding their instance of LLM anything about others' submissions. So they are flooding with dupes, and the LLM has no reason to detect duplicate submissions, since it's not fed that data.
An LLM fed the mailing list and new submissions could credibly find dupes. If it fails, oh well, a dupe made it through and was annoying. If it erroneously detects a dupe, oh well, the submitter has to re-assert that it is not a dupe and is somewhat annoyed.
LLM ability to identify roughly duplicate bugs is decent enough. I don't like the hand waving of "AI can write the code, AI can review the code, AI can test the code" to absolute confidence (finding ways to expend more tokens does improve it's success a bit, especially if you can give it a 100% perfect pass/fail test to run and and let it retry), but here it's a pretty straightforward application, just a better fuzzy match at finding duplicate reports.
Phonics-based teaching was coming into vogue when I was learning to read. My parents objected because that's not really how English works, and they weren't wrong; my cohort generally has shitty spelling abilities.
Rote memorization of the basics is about the best you can do, because English is too recently cobbled together from too many different languages to have a consistent spelling system. You need to learn Latin, Greek, French, and German at a minimum if you want to be able to reliably deduce spelling from sounds once you're past the elementary level.
Europeans are probably in better shape on that front than Americans or Canadians.
Correct.
The current war and upcoming $1000/mo typical residential utility bills is what's driving me. And the math on a Carrington Event.
I know of three other people who are off-grid capable in my network of high hundreds of households.
This is not how things work under kleptocracies. The US was never particularly strong on communal resources anyway, now it's just not even pretending.
10 to the minus 6th power mouthwashes = 1 Microscope