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I tried to search faq how to block people but couldn't find any info. How do I do that?

If it's not possible, I'm pretty sure this site is breaking the EU social media laws.


The site doesn't need to follow the laws of every country on earth. If they had paid advertisers from EU it would be different.


HN is a pretty high trust site, I'd hope the community is still mature enough to self-moderate. Then again I was here when Terry would post his (admittedly) entertaining rants, the epic Michael O'Church essays, and flamewars between idlewords and pg. Maybe it always allowed for a little bit of funposting, in moderation.


Which EU laws do you think mandate a 'block' feaure on HN?


I use uBlock Origin cosmetic filters for blocking trolls on here. Something like:

  news.ycombinator.com##:matches-path(/^/item\?id=/) tr a.hnuser:has-text(/^dpifke$/):upward(tr)


That rule doesn't exist.


There's no "block user" requirement in the EU DSA.


A brilliant idea some startup accelerator in the EU can create a platform that conforms to EU laws. It can't be that hard, given that the UI hasn't changed much in a decade or more. I can already see it "Hacker news, but hosted in the EU with Swiss privacy and is GDPR compliant".


It's not an exact copy of all the data. For example random downloaded files don't get backed up and restored unless you migrate from an old device[0]. It would be nice to be able to do a full device local backup and restore.

[0]https://support.google.com/android/answer/6193424?hl=en


A rare case of actually useful AI features. Thumbs up!


Is it AI or just ... recognizing a pattern?

How much data could it have to look at in the time that someone "snatches" a phone?


The article continues with:

> If a common motion associated with theft is detected, your phone screen quickly locks – which helps keep thieves from easily accessing your data.

So it's probably a machine learning model that was trained on motion data of snatches, but it's likely not AI in the sense of LLMs.

But I wonder how many false positives this could yield. For example you are in a hurry and you snatch your phone from a table. How precicesly can this model decide with just motion data, if this was theft or not.


Personally, I would take the false positives. Way too much of my life is locked into securing this fragile black rectangle. Unlocked phone has access to basically everything. I personally do not do any finances on my phone, but all of the MFA works through it.

If I snatch a phone from the table (probably already locked?) or drop it, I will suck up the additional login.

I have long thought about the utility of a little locking-beacon. If phone suddenly gets out of range, should auto lock. If only Bluetooth were not so unreliable.


Worth noting Android (or at least Pixel) does have a feature like this, but it actually does the opposite: while a Bluetooth device is connected it keeps the phone unlocked. It would be way more useful in the reverse: that if a Bluetooth device disconnects, it should lock.

These are two different things, since I do not want my phone to have no lock screen just because my headphones are sitting near it, but if it is unlocked and suddenly my headphones disappear, that would be a useful precaution, even if it doesn't eliminate the risk on its own.


It's called Android Smart Lock and has been a thing since Android 5 (Lollipop). It also works (worked? Does it still exist) with 'trusted places' (GPS/WiFi), Voice/Face (before face id was a thing) and a mode were it kept the phone unlocked as long as you kept it on your body.

I remember that I used the last option many years ago, as that was really convenient and worked very well. Basically as long as the phone was in your hand or pocket it kept unlocked, but as soon as you laid it on a table it got locked.

But now that fingerprint unlock is a thing, I don't even mind unlocking my phone as it is one fluid motion and happens unconsciously.


You can do something like this with an automation in the Shortcuts app on iOS.


My Apple phone won’t let me do some sensitive things if I am in an unusual location. It’s a default setting.


If my phone gets nabbed, a motivated thief would do nefarious actions the minute they get out of site. So presumably just a few blocks away from a usual location.


It's a classifier, like ML has done for many years.

There's a saying that when something becomes mainstream it is no longer considered AI. Fun to see that being reversed.


How on earth do you even get training data for this? Recorded phone sensor outputs that are known for certain to be the result of validated, confirmed theft events can't possibly be that common. Are they paying people in Bangledesh a few bucks to be randomly assigned to group that either get robbed or tripped in the hope they throw the phone and labeling sensor data accordingly. When this type of motion recognition was first developed, they had labs and recorded people walking, doing jumping jacks, sitting and then standing, whatever, and labeled the patterns appropriately because they knew what was happening because it was happening in a lab.


I'm trying to decide if parents with small children will either love or hate this feature.


Google is really going to crush those little toddlers dreams of finally getting their hands on the phone :(


Would be interesting to know the difference between a snatch and me rushing out the door...


Probably the acceleration vector. If the phone is rapidly moved a meter away from you, either it's being snatched or it's being thrown.

Edit: To clarify, I was thinking of horizontally, in the direction that corresponds to the top of the screen, as if you were bent over using the phone--probably holding the bottom-of-screen--and then someone grabbed the top-of-screen to pull it away.


> If the phone is rapidly moved a meter away from you, either it's being snatched or it's being thrown.

Good heuristics. Also that must not be a mainly downward rapid movement, which probably only means you just dropped your phone.


A drop registers as no acceleration while in freefall, and then a sharp spike when it hits the ground. This was counter-intuitive to me when I first figured out how to display my phone's accelerometer readouts, but makes sense.


I think a lot of the false-positive cases where the screen gets locked are acceptable in context.

I mean, most people dropping their phone will be too glad/devastated that the device did/didn't escape harm to bother being annoyed that they have to unlock the screen again.


Do you often interact with your phone via the screen while rushing out the door?


Yes. Often the map or messaging app.


Yes?


I would expect this to not make a difference if your phone was already locked. But I guess Google could only lock the device if it was upright before being grabbed.


I mean, worse case scenario, your phone just locks (I assume to the lockscreen, where you have to re-enter your pin). It doesn't seem like such a big problem?


There are free and open source apps for Android that automatically lock the device when the accelerometer detects rapid acceleration, which is a simple detection method. For example, Private Lock is on F-Droid:

- Private Lock (source): https://github.com/wesaphzt/privatelock

- Private Lock (F-Droid): https://f-droid.org/en/packages/com.wesaphzt.privatelock/


Very interesting.

Gotta admit first thing I would do is stage a theft scenario to see how it works.


Linear regressions are machine learning.


AFAICT all machine learning models right now are just pattern matching.


AI is another word for training-based computerized pattern recognition.


:) So one way I immagine it does this is by listening in on your microphone to determine a distress signal. Up to you if you think this is cool. In general people should ask themselves do they really want a semi-intelligent program someone else trained "living" in their phone. Yikes. I tried to uninstall the neural network package on my Android but it is impossible since it is an actual system package. Why on earth it should be an Android system package is beyond me. Moreover this issue persists even if you use a de-Googled privacy and security focused distribution like GrapheneOS


Yes but that's only in your imagination, it's not how the feature works. The feature works based on motion detection trained on specific "theft patterns".


Because you trust how it is marketed. The android neural network package is system deep, meaning it could easily bypass all software permissions for hardware


Google: "We Have No Moat, And Neither Does OpenAI"


From your link

"A PDF can therefore meet the definition of a durable medium."


How do I block low iq trolls like jrflowrs on this platform? I tried to search the FAQ but couldn't find anything.


We had below -40 in the Norther Finland recently and Teslas and Superchargers have worked without any issues. ICE vehicles have had a lot problems with these temperatures though if they weren't connected to block heaters.



Yep. These luddites and trolls haven't been paying attention.

> eCall was made mandatory in all new cars approved for manufacture within the European Union as of April 2018


Every time these same low tier troll comments. Can someone point me how to block these trolls? I couldn't see anything in the FAQ about blocking/muting.


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