elvith

It's referring to both. The recompiler links to the Zelda project and basically tells you "if you want to haven an example how to.proceed/what to implement yourself after the recompilation finished, you can use the Zelda project as an example".

Well, usually those re-compilers or transpilers just translate the binary to some sort of intermediate language and then any backend should be able to compile it for your target system. So, in theory those handheld could be targeted. Problem with this project is that it's not just "start transpiler, load rom, click go and your port is ready". It's more like "ok, here's your game logic. Now implement the rest (or use several other projects and duct tape their libraries together to get what you want).

Nah, it just marks your question as duplicate.

I mean, the hosting company would be the likely target then and they'd probably lock your account and switch off the server. Depending on your nationality and that of the hoster, at least.

Peace was never an option

Pretendstation Network when? (Context)

Do you know the term "trust thermocline"?

Basically it described a problem with the boiling the frog technique. There's a point for every user at which they're fed up with the bullshit, lose all trust in you(r company) and are hard to impossible to get back as a customer. Every customer leaving has a little unnoticeable effect on you, but with time there will be so many people that you lost that all your tactics to lock your users in will fail.

When I go back to play a modded Fallout, I do 4.

Do so now and be quick, or wait a while. In a few days a huge next-gen update is dropping and everyone expects mods to be broken afterwards unless they are fixed. Since modding is usually done on PC, you may be able to downgrade the version, but it's more work.

I read it as "no, we won't use your data for advertising, but collect it anyways. If you ever dare to stop paying, we'll retroactively process this data, too"

Yeah, basically you have three options:

1. Create and train your own LLM. This is hard and needs a huge amount of training data, hardware,...
2. Use one of the available models, e.g. GPT-4. Give it a special prompt with instructions and a pile of data to get fine tuned with. That's way easier, but you need good training data and it's still a medium to hard task.
3. Do variant 2, but don't fine-tune the model and just provide a system prompt.

Aperture Science.
We do what we must
Because we can.
For the good of all of us.
Except the ones who are dead.

Nightwish - Last Ride Of The Day