sodality2

This was my home gas station for 4 years so I may be biased, but it is fine. Symptomatic of a deeper car-centric problem, sure.

Side channels that enable intended behavior, versus a flat-out bug like the above, though the line can often be muddied by perspective.

An example that comes to mind that I've seen is an anonymous app that allows for blocking users; you can programmatically block users, query all posts, and diff the sets to identify stable identities. However, the ability to block users is desired by the app developers; they just may not have intended this behavior, but there's no immediate solution to this. This is different than 'user_id' simply being returned in the API for no reason, which is a vulnerability. Then there's maybe a case of the user_id being returned in the API for some reason that MIGHT be important too, but that could be implemented another way more sensibly; this leans more towards vulnerability.

Ultimately most fingerprinting technologies use features that are intended behavior; Canvas/font rendering is useful for some web features (and the web target means you have to support a LOT of use cases), IP address/cookies/useragent obviously are useful, etc (though there's some case to be made about Google's pushing for these features as an advertising company!).

I'm not sure I'd use "compromise" at all - these (or the ones I have) are purposefully designed with zero authentication or pairing, the ones that use apps are already "compromised" in the sense that I can walk past any windowsill with one in it, open it, and it will immediately connect to it. I really don't mind if someone walking by were to change the LED color patterns

Yep, here they admitted there were local revolutionary war re-enactors who were falsely flagged (although thankfully they didn't let it get past the first flag).

This is a very common pattern; my university pushed through a ZeroEyes AI camera/open carry weapon detection contract within 2 weeks of a shooting at a nearby school, even though it’s trivial to bypass by hiding it; it’s most probably just (gruesome as it is to think about) a bad press insurance so if anything happened, they can say they had “state of the art AI detection” and they did all they could. No one wants to be the one caught not doing “all they could” against the media cacophony in the immediate aftermath.

> That means the lock-in isn’t just product strategy. It’s also architecture.

> And that omission isn’t some harmless simplification. It’s the entire trick.

It isn't just once. It's—twice. ;)

I too am in this episode.

No conspiracy necessary. The CIA bought the rights to the 1954 film Animal Farm, modified the ending to fit propagandist ends, and it went undiscovered for four decades. The original Top Gun was intended to recover the image of the US Navy after the Vietnam War. Etc etc etc.

https://en.wikipedia.org/wiki/Military%E2%80%93entertainment...

Is there any evidence that going outside the scope of the agreement would amount to anything more than a contract violation? Are we really to expect that Anthropic general counsel sits at the API gates allowing or blocking requests?

More generally, are there any comparable contract requirements in the field of defense, for a company in the same position as Anthropic? I'm curious.

Hm true, I wrote off Chrome OS altogether, does it provide enough customizability that MacOS/Linux does? You mention dev containers which is already way beyond my perception of its capabilities (and the general public, I think)

Yeah, the optimization is going to make or break it. I've heard people say that 8GB on their Air's with M chips are sufficient, but I do wonder if it will still be true now with MacOS - maybe we'll get a cleanup/performance release cycle?... With regards to AI I hope it's not a Gemini/Pixel situation where there's a lot of ram but 3.5GB are permanently reserved for the on-device model to be always-available.

I expect the customer of this product is not worried about repairability: to them, it's just an iPad with a keyboard. You're also citing 3x higher costs, so they're really not comparable.

The lack of upgradability is directly what provides a lot of benefits that I expect the average consumer vastly prefers: better performance with soldered memory and better battery life. It's not just to shaft you on prices (though that's definitely a big factor).

iPads are pretty common in education for the drawing capabilities. You can take notes by typing for most things, but when you get diagram/math heavy, you just cannot beat the pencil. I think it's probably pretty poor value of the small ability you gain to cost, relative to other things you could do (I like paper/pencil personally) but I see the use case, if limited.

Crazy good market segmentation by Apple here - it's pretty easy for college students to justify this plus an iPad, and still have to upgrade to a "real" laptop post-grad.

Personally this looks really compelling for students - I did something similar, dinky 4GB ram 2 core laptop with crazy good battery life - because I don't care about specs at all, LMS's and note-taking apps in school are not heavy. I just NEED to be able to work all day long, when lecture halls lack outlets. If I needed development weight I would just use an IDE plugin to remote to a desktop in my dorm.

Are there any similar laptops around this price range with comparable battery life? My impression is the market around ARM laptops is pretty small. If so this is a standout for this use case.

If only the average open source project got this level of scrutiny actually checking for vulnerabilities. I get that you don't want your private chats leaked by slopcode, but this was a few dozen lines of scaffolding in large software created before LLM coding; it would have been better to register your discontent without making demands, then continue to watch the repo for vulnerabilities. This feels like fervor without any work behind it

I have to warn you, it does get annoying when you plug in your power-only cable and it still nags you with the question. But it does work as intended!

Might as well give a recommendation then: I've been using hashcards [0] for a few weeks now and have enjoyed its simplicity and the fact that it all stays forever in raw markdown files and versioned git. A simple justfile has also been helpful.

[0]: https://news.ycombinator.com/item?id=46264492

How do you deal with the opposite, software that you forget to update but contains vulnerabilities discovered/exploited later?

I've brought my kindle to even the most strict of technology-banned lectures (with punishments like dropping a letter grade after one violation, and failing you after two), and never have they given me a problem when asked. They realize the issue isn't the silicon or lithium, it's the distractions it enables. I'm sure I could connect to some LLM on it, it's just that no one ever will.

You would be better off pirating all of your music and buying just one piece of merch from an artist. These rogue foreign licensing agencies provide no real value, and in fact are functionally illegal and unrecognized outside of Ukraine. It's also highly unlikely much money flows back to the artists.

https://law.stackexchange.com/q/499, https://archive.is/EZ2U3

The solution is to learn content that you actually use with some regularity in your life outside of the testing! If you're doing this for education, the payoff might be the exam; if you're doing it to learn things without some particular end goal, you'll have to make your own way to make it worth it.

The language learning app people could try scheduling monthly video chats with native speakers (swapping turns halfway through so it's mutually beneficial) and notice their proficiency improve.

I definitely think there's something to be said for nuance; my county is one of the worst in my state for penetration [0] but according to their transparency log avoids many of the common criticisms of Flock, like data sharing, immigration enforcement use, etc [1].

I'm just happy for any sort of critical analysis or attention being brought to every municipality's use of this technology as so often people have no idea at all, though. Because there are a lot of counties which are far worse, and almost none of the public is even aware; I suspect there is at least some gap between people who would care if they knew, and people who care now.

[0]: https://alpranalysis.com/virginia/206807

[1]: https://transparency.flocksafety.com/williamsburg-va-pd

It's definitely a push and pull; more are adopting it, but more are pushing back. The total amount is definitely still rising, though, but so is awareness.

There's Eugene and Springfield, OR; Cambridge, MA; a few in TX; Denver and Longmont, CO; Redmond, WA; Evanston and Oak Park, IL; etc.

I can opt out of that, by not carrying a phone. I cannot opt out of public surveillance. Plus at least the gap between police -> tech companies typically adds some resistance, maybe a warrant, etc. With ALPR's police have immediate access without warrants to the nationwide network. It's far more ripe for abuse, yet is exactly what the police departments want; the only chance is local governance.

It’s so awesome to see more people making things to fight back against ALPRs. Deflock movements are gaining traction across the country and genuinely making progress at suspension or cancellation of contracts.

Not too harsh at all! I just wanted to fill the gap between "man, those cameras seem to be everywhere" and "XX% of people are surveilled on the average commute". It's true that this is not a particularly ambitious project, just a small niche I wanted to fill.

Thanks, pushed a fix for the home page!

I don't model daily paths as in 'coffee before work, then groceries on the way home'; I do straight shots from residences to each of these amenities. I don't know of a better way to do it than this; any more complicated model that tries to model 'daily routines' risks losing simplicity, as well as straying too far from actual driving behavior, and my main goal is extremely simple statistics.

My goal is to provide actionable statistics for any 'deflock' movements in a certain county, by being able to point to specific statistics on surveillance. If even one motivated person uses my data to petition, I'll be happy; it doesn't have to be for the average person. There's tons of these movements, too. Deflock Olympia just succeeded: https://www.yelmonline.com/stories/commentary-olympia-joins-...

Also, another answer to this is that there is no overarching goal; I just wanted to build a large scale data analysis pipeline for fun :) I am no stranger to side projects to distract me from finals unfortunately.