I asked GPT-NeoX-20B a hundred arithmetic questions. It didn't get very many of them right (10/100), but it's almost spookier to me that it gets most of them *approximately* correct??
I also just added results and easier-to-parse data files for both the original and expanded (1000 questions) results. Don't have time to do lots of analysis right now sadly gist.github.com/moyix/ca4091f1…
But maybe one quick plot. Real vs NeoX answer for 1000 questions. Curious what those outliers down there are...
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Definitely was a mistake not to strongly isolate the build directories from one another. I wonder which package (or part of my own infra) wiped out all the package metadata :P
One interesting thing might be to put some canary files one level above the build dir and then yell loudly if those files are gone after the build finishes. Might shake out some fun "oops, building this package deleted my home directory" bugs
Right now all the official build infra (as well as the reproducible build projects) run builds in an isolated chroot, so I can easily imagine issues like this going undetected for a long while.
It's under-appreciated how simple and elegant the OS X UI experience is. In just a single glance here I can learn absolutely nothing about where all my disk space went
It calls to mind the classic design principles of ed(1): "generous enough to flag errors, yet prudent enough not to overwhelm the novice with verbosity"
Another elegant touch is the way the UI gently keeps users on the path of righteousness. Open source weirdos may complain about their "freedoms", but I sleep more soundly knowing that Big Mac is watching out for me–there will be no rogue disk inventorying in this house!
The basic problem we're looking at in this paper is: if you buy some embedded/IoT device, it may come with a bunch of features that you don't use (say, Bluetooth) that nonetheless require driver support and expose unnecessary attack surface.
Maybe you're a company deploying a fleet of Meraki routers, you don't need the Bluetooth Low Energy localization stuff, and you're worried about vulnerabilities like this one arstechnica.com/information-te…
Hmm, this is actually much less impressive than I expected as far as inverting PhotoDNA (based only on reading @hackerfactor's blog post) reddit.com/r/MachineLearn…
@hackerfactor@matthew_d_green perhaps of interest if you haven't seen it yet and want to take a break from fighting with half of CS twitter about NFTs ;)
Ah, I see, it's taking a pure black box ML approach to try and learn the inverse straight from the hashes. OK, that is pretty impressive!
So, with Broadcom's acquisition of Symantec, it seems like the source code for PGP Desktop (aka Symantec Encryption Desktop) is nowhere on the internet? I have a copy but I'm pretty sure I can't host it anywhere:
Seems like a loss for archival and data recovery work! :(
FWIW, the version I have is:
MD5 (PGPDesktop10.0.1_Source.zip) = c9193850f923cda995e6d4b9f45fcbdf
Probably getting old, I opted to just pay for a janky conversion utility rather than try to RE the Microsoft Outlook 15 message format :(
(I may still RE it)
The format is a pain in the ass, it stores messages in 3 undocumented binary parts: metadata, message body, and attachments. It has an sqlite database but that just points you to the metadata file.
Also, everything is referenced by GUIDs, which are in a mix of
- Raw binary GUID data
- ASCII GUIDs
- UTF-16-LE GUIDs
- Base64-encoded blobs that contain GUIDs