Lee Pace is just bigger than life, and Mackenzie Davis is electric in every scene, but my favourite on the show was Scoot McNairy's character. A very specific type of nerd that's rarely written with such depth and nuance. Although I guess that could be said of all the main (and not so main) characters in the show.
If anyone else loved these actors watching HACF, I would recommend watching The Fall (Pace), Fargo S3 (McNairy) and Station Eleven (Davis).
(Lived the HACF era/story personally, so it was a poignant watch.)
What HACF got right, imho, was the collection of the various personalities that were attracted to the rising computer technology, of the era.
I've known plenty of Joe's and Camerons and Donna's, but the ones I chose to remember were the Gordons .. alas, there are the odd Gilfoyle and Josh stains among the sheets of memory too, though ..
> Scoot McNairy's character. A very specific type of nerd that's rarely written with such depth and nuance.
AGREED! I became an instant favorite of that actor just from this part. I'm the rare nerd type who is extremely outgoing and comfortable in any kind of social situation, very capable of getting along and communicating with both the business types and nerds, but I'm still extremely technical to a degree that surprises the jocks and the nerds. "Gordon", the character, is the exact type of nerd that I wind up getting along best with, and I loved that character in the show.
Same. Having experienced the growth of computing in those eras, the show itself had a very well researched yet very nostalgic sense of "oh yes. I'd forgotten about that".
Silicon Valley is also pretty good. I went in expecting not to like it (in a Big Bang Theory "about nerds but not for them" way) but came out loving it. It may read as parody to some but it barely is. It's a comedic but accurate take on west coast tech industry of the 2010s
The best part of Silicon Valley was that it had a very south park quality to it.. in that things that were actually happening at the time were parodied on the show.
My main reason is that nft applies configs atomically. It also has very good tracing/debugging features for figuring out how and why things aren't working as expected.
That said, I think many distros are shipping `iptables` as the wrapper/compatibility layer over nft now anyways.
Agreed. NixOS + Tailscale is 99% there for me. Using Claude Code to deal with whatever other package I need built with nix while I'm working on $day_job things helps get me to a fully working system. Besides the fact that running containers via podman or docker (your choice) is super easy via a NixOS config.
Combine that with deploy-rs or similar and you have a very very stable way to deploy software with solid rollback support and easy to debug config issues (it's just files in the ./result symlink!)
I challenge anyone to try building a C compiler without a big suite of tests. Zig is the most recent attempt and they had an extensive test suite. I don't see how that is disqualifying.
If you're testing a model I think it's reasonable that "clean room" have an exception for the model itself. They kept it offline and gave it a sandbox to avoid letting it find the answers for itself.
Yes the compression and storage happened during the training. Before it still didn't work; now it does much better.
The point is - for a NEW project, no one has an extensive test suite. And if an extensive test suite exists, it's probably because the product that uses it also exists, already.
If it could translate the C++ standard INTO an extensive test suite that actually captures most corner cases, and doesn't generate false positives - again, without internet access and without using gcc as an oracle, etc?
I didn't personally experience it (I was too young), but I think that was part of "the mission" since pre-9/11. The point of the ID check is to make sure the boarding ticket and ID match.
whatever it is, I can't remember the last time something like this took the internet by storm. It must be a neat feeling being the creator and watching your project blow up. Just in a couple weeks the project has gained almost 100k new github stars! Although to be fair, a ton of new AI systems have been upsetting the github stars ecosystem, it seems - rarely actually AI projects, though, seems to just be the actual systems for building with AI?
