Are you talking about this post [1]? I don't see anything in the complaint alluding to a VPN license (for all we know he could have used an open source OpenVPN or Wireguard client to connect to the VPN), and the police seem to have gotten everything directly from Microsoft rather than from the VPN provider.
While this is Google and not Microsoft it's worth noting that Chrome literally has a telemetry option which sends URLs to Google [2].
From reading the official criminal complaint [1] it looks like Microsoft literally logs all web requests along with the GDID and sends it over as "telemetry". It basically associates the URL, the client's IP, and the GDID together.
Or I suppose it's possible that it only sends the domain and not the full URL, but that's enough for the police to go to the hoster and demand logs containing the full URL for said IP.
From my experience it works fine if it's one class that's doing it. If multiple classes are doing it then like you said it's literally a couple extra hours a day watching lectures and most students end up skipping them, forcing the instructor to end up teaching during class time anyways.
Personally I have a lot of DDR3 RDIMMS laying around that I got for cheap/free and have thought of getting a used workstation to put them in (4 channels of DDR3 will still net you ~60 GB/s of bandwidth) but the only Xeons that support it are Sandy/Ivy. Everything Haswell and newer with AVX2 and rebar/etc. use DDR4.
Considering the unethical practices done in the name of money I wouldn't be surprised that some companies would make use of slaves if it was legal to do so.
> If you knew which bike model I was googling yesterday, almost all of these guesses might have been more accurate.
I think this sort of guessing is intended to be combined with additional data the marketers already have, like purchase history, location, social media posts, and so on. Basically the VLM output is treated as another data point rather than the sole source, or the existing data could be fed into the model's prompt before reading the image.
IMO they should sell appropriately priced licenses that allow the use of more VMs. Make the licenses expensive enough so that it doesn't eat into hardware sales, or explicitly prohibit VDI/virtual seats in the license agreement.
Currently services like Github Actions painfully and inefficiently rack thousands of Mac Minis and run 2 VMs on each to stay within the limits. They probably wouldn't mind paying a fee to run more VMs on Mac Studios instead.
Another +1 for this one as this is what turns this tool from a toy environment with basic sketches into something that's actually useful for larger projects with a full toolchain, libraries, and so forth.
I've had reasonably good results digitizing VHSC home video with a composite to HDMI converter/scaler followed by an HDMI capture card. The converter does TBC and deinterlacing and I find the resulting footage to be much more clear and stable than what you get out of a regular composite to USB dongle.
If you have an AVR with composite or s-video in and HDMI out that could also work in place of the converter. In either case you'll downscale the footage back to 640x480 before encoding.
You have to monitor the process start to finish if the tapes are bad, there's nothing around that.
For MiniDV and Digital8 you should straight up get a lossless copy using a cheap Firewire card.
I archived all my MiniDV tapes using a cheap firewire card and dvgrab on Linux, it can be set to automatically split noncontinous clips into different files for easy viewing. It's very straightforward to use and can be done unattended.
This isn't really what you're asking for but is virtualization possible on the client side? Either through direct virtualization on the client PC or using VDI. Basically IE and Windows with admin rights would run in a restricted VM devoted solely to that app, with the VM restricted from network access outside of connections to the legacy server and any management/etc. requirements.
This would incur an added cost in licensing and possibly hardware but this would also be the cleanest way to do it. Also on the security side this would be safer than escalating a legacy ActiveX app on the secure client.
Having multiple instances of IE running remotely on Windows Server and then served using Citrix or something similar should work as well if you don't need full VM isolation between clients, and I've seen this used in real companies with legacy apps that can't run on the standard employee machines. Again though this has a licensing cost.
I remember a case where a company decided to assign employees random 16 character passwords with symbols and rotated them every 90 days or so. They were unchangeable and the idea was that everyone would be forced to use a secure password that changed regularly.
You can probably guess what happened, and that was that no one remembered their passwords and people wrote it down on their pads or sticky notes instead.
I mean the writing's on the wall, they just don't want to do it all at once to avoid backlash. I wouldn't be surprised if they kill sideloading completely several years down the road.
DCLS actually makes sense for this scenario as the fault tolerance gained from having three processors isn't needed here. The system can halt when there's a mismatch, it doesn't have to perform a vote and continue running if 2 of 3 are getting the same result.
Also I just thought of this but it should be possible to design a chip where the second processor runs a couple cycles behind the first one, with all the inputs and outputs stashed in fifos. This would basically make any power glitches affect the two CPUs differently and any disrepancies would be easily detected.
Thanks for this writeup as I haven't had time to review the video yet :)
So, the only way to manipulate it is to actually screw with the internals of the CPU itself by "glitching", meaning tampering with the power supply to the chip at exactly the right moment to corrupt the state of the internal electronics. Glitching a processor has semi-random effects and you don't control what happens exactly, but sometimes you can get lucky and the CPU will skip instructions. By creating a device that reboots the machine over and over again, glitching each time, you can wait until one of those attempts gets lucky and makes a tiny mistake in the execution process.
Considering that the PSP is a small ARM processor that presumably takes up little die space, would it make sense for it to them employ TMR with three units in lockstep to detect these glitches? I really doubt that power supply tampering would cause the exact same effect in all three processors (especially if there are differences in their power circuitry to make this harder) and any disrepancies would be caught by the system.
Piezo mics are pretty cheap, and if wired up to the microphone input of a computer or phone you could probably get better accuracy as well if you used the same signal processing techniques.
The astounding thing about Goliath wasn’t that is was a huge leap in performance, it was that the damn thing functioned at all. To this day, I still don’t understand why this didn’t raise more eyebrows.
This wasn't something I really dug into in great detail but I remember my surprise back then at how all those merged models and those "expanded" models like Goliath still generated coherent output. IMO those were more community models made by small creators for entertainment rather than work, and only really of interest to the local LLM groups on Reddit, 4chan, and Discord. People might briefly discuss it on the board and say "that's cool" but papers aren't being written and it's less likely for academics or corpo researchers to notice it.
That being said I wonder if it's possible to combine the layers of completely different models like say a Llama and a Qwen and still get it to work.
Even with math probes, I hit unexpected problems. LLMs fail arithmetic in weird ways. They don’t get the answer wrong so much as get it almost right but forget to write the last digit, as if it got bored mid-number. Or they transpose two digits in the middle. Or they output the correct number with a trailing character that breaks the parser.
Would using grammar parsing help here by forcing the LLM to only output the expected tokens (i.e. numbers)? Or maybe on the scoring side you could look at the actual probabilities per token to see how far the correct digit is.
That's going to tank the stock price though as that's a much smaller market than AI, though it's not going to kill the company. Hence why I'm talking about something like robotics which has a lot of opportunity to grow and make use of all those chips and datacenters they're building.
Now there's one thing with AR/VR that might need this kind of infrastructure though and that's basically AI driven games or Holodeck like stuff. Basically have the frames be generated rather than modeled and rendered traditionally.
While this is Google and not Microsoft it's worth noting that Chrome literally has a telemetry option which sends URLs to Google [2].
1. https://news.ycombinator.com/item?id=48818984
2. https://ibb.co/k61WKSSB