Again, this doesn't necessarily apply in the case of a sufficiently used service like Signal:
- Alice sends message to Bob at 12:01PM
- Bob receives generic "check me" notification at 12:02PM
The key point with line #2 is that Bob is not the only user at 12:02PM who received that generic notification, and is likely in more chat than one. Pinning the specific notification to Bob is a needle in a haystack. It's not perfect, but it's not the slam dunk people are making it out to be.
And before that's even a concept, you have to contend with the fact that it's very hard to use an Apple device anonymously. The government doesn't need to correlate message timings, because if they have the APNS token for the device, all they have to do is ask Apple who the hell owns the device.
Anonymity and privacy are two different, albeit related, concepts.
If you have metadata for a couple of messages it is no longer a needle. Not sure what your point about APNS tokens is - I agree, once they hone in on who received the messages Apple would know the device.
The “tesla vision update” faq entry was last updated on October 5th, 2023, and as far as the way back machine surfaces the only changes were removing park assist from the list of disabled features, a few wording changes, and removing some of the more optimistic wording (e.g. “in the near future” around mentions of feature parity).
So it seems like they’re still all in on pure vision. I don’t think the xruck has lidar either, only hits I get talk about a lidar-equipped prototype in early 2023.
They've never used LIDAR. Tesla have always been all-in on a vision based system, with Elon stating that LIDAR is a "crutch," and a "fools errand"
> Andrej Karparthy, Senior Director of AI, took the stage and explained that the world is built for visual recognition. Lidar systems, he said, have a hard time deciphering between a plastic bag and a rubber tire. Large scale neural network training and visual recognition are necessary for Level 4 and Level 5 autonomy, he said.
> “In that sense, lidar is really a shortcut,” Karparthy said. “It sidesteps the fundamental problems, the important problem of visual recognition, that is necessary for autonomy. It gives a false sense of progress, and is ultimately a crutch. It does give, like, really fast demos!”
There was a suspicious news article on a Chinese supplier that specialize in non-rotating LIDAR is investing in a Tesla parts factory in Latin America, which was then suspiciously corrected.
Pure Vision currently. The last we heard about LiDAR was the issue of combining Lidar Data with Vision in the NN. Which technology should take priority in the NN? For example LiDAR might recognise the shape of a sign but vision will know if its a stop sign or not.
I'd be super interested to see if someone has successfully combined RGB data with LIDAR data.
This is basic university robotics. Sensor fusion ! There are a whole host of techniques for dynamically updating confidence between two or more sensors estimating the same values. Kalman filter being the standard approach (which for reference was used in the apollo missions 50 years ago - developed a lot since then)
And yes, it is commonly applied with vision models. There are a host of combined rgb/lidar, structured light, depth camera and more setups in the labs students are working on at my local university, and have been for at least 6 years
For reference, I, a computer science undergrad, learned this kind of sensor fusion theory in an elective class that was just an excuse for a soon to retire professor to play with lego robots
You can know more about sensor fusion than Elon does by reading a literal blog post.
The NN shouldn't have to "choose" one or the other. It's a classic "Not even wrong" question!
The most interesting part of their pivot to vision is how none of the disaster scenarios people were so sure of seem to have come true. Meanwhile FSD is better than ever and there are millions of miles per month being logged.
The point of killing third party cookies is to prevent a tracking identifier cookie that uniquely identifies your browser from being reused across different sites.
So you can of course host your own scripts and run them on your own origin, lets call it site1.com. But when your site1.com includes a third party iframe to e.g. googleanalytics.com, and that frame sets a cookie on itself, the cookie is now silently dropped. Then when site2.com later includes the googleanalytics.com frame, the frame cannot immediately link the two browsers. There are other ways to “link” browsers across origins, like browser fingerprinting or in many cases just IP, but they are not usually guaranteed to be 100% reliable.
Blocking third party cookies is standard obvious privacy functionality, but google has held out because it affects their bottom line. So IIUIC they had to wait until they implemented something that protects their bottom line (the chrome-only “privacy sandbox”).
Safari blocks third-party cookies by default and introduced a new Storage Access SPI so third-party sites that do need cookies can request explicit user permission. This is all part of Safari’s Intelligent Tracking Protection.
Firefox doesn’t block third-party cookies by default because that can break sites that haven’t been updated to use the Storage Access API. Instead Firefox’s Enhanced Tracking Protection blocks cookies from a blocklist of known trackers and all other third-party cookies (e.g. new trackers or legitimate use cases) are isolated using Total Cookie Protection (which has the inconvenient acronym TCP).
Total Cookie Protection uses double-keyed cookie jars, so cookies from analytics.example included in an example.com page are placed in a separate cookie jar from analytics.example cookies included in an example.org page. This allows both sites to use the same third-party analytics service, but the analytics service sees different cookies for each site and can’t link the cookies to one user’s browsing behavior.
the biden laptop story was temporarily banned for less than 24hrs as it violated various twitter rules for hacked content and nudity. The “Twitter Files” (cue x-files theme) show us this - it was certainly not banned because users reported it as fake news using a tool like this.
From Twitter yes. But NYPpost being banned and 50 intelligence agencies saying it had all the hallmarks of Russian Disinformation kept the ball out of the court until after the election.
Yes. And if your threat model really includes distrusting the manufacturer of your phone and its software after a specific point in time at which you have reversed all of its internals, you should have disabled software auto updates.
