I can only wish…

Honestly, I don’t think this could have gone any other way. As the article says, this is the so-called “Lane 1” missions which, while they’re less important and less heavy than “Lane 2” missions, are perfectly suited to the Falcon 9, or heavy if needed. There’s no need to get a heavy rocket like Vulcan involved, especially since it’s not proven yet, so the only reason I could think of for someone else winning would essentially be as a subsidy to help SpaceX’s competition. Once Vulcan has a couple dozen successful missions under its belt I’ll expect it to be more competitive.

Don’t feel too bad. A lot of more complicated Java programs utilize JNI with platform-specfic code, so even if you knew it was Java, it’s not a given that it works on Linux - especially given the incredibly complicated nature of decompilation, and that Ghidra has a DSL to define processors/“languages”.

There’s also the NSA’s Ghidra which is a competitor for the best open source application IMO. Previously the only tool for heavy-duty reverse engineering was IDA Pro, which is very expensive (and not open source, of course). The NSA has selfish incentives to have tools like this be open source - free training especially - but it’s still a very good thing.

I’d be interested in setting up the highest quality models to run locally, and I don’t have the budget for a GPU with anywhere near enough VRAM, but my main server PC has a 7900x and I could afford to upgrade its RAM - is it possible, and if so how difficult, to get this stuff running on CPU? Inference speed isn’t a sticking point as long as it’s not unusably slow, but I do have access to an OpenAI subscription so there just wouldn’t be much point with lower quality models except as a toy.

Bevy, cause I’m a sucker for Rust

Even as an (older) zoomer in the US, this was never a thing for me. No one cared what phone you used. If you had an Android you wouldn’t be in iMessage group chats but no one judged you for it.