There’s no big reason why remapping couldn’t be done in a way that doesn’t require actively running software on the host machine. QMK, the open source firmware for keyboards has had this for years. You can update your keymap with an online editor, but once it’s flashed, your mappings will be remembered regardless of which computer/phone/whatever you use the keyboard with - without having to run any software besides the OS on the host.

You’re not wrong, but your aggressive wording will surely alienate anyone who otherwise would’ve had a chance of learning something new or changing their mind. People don’t generally respond well to snark nor a condescending tone.

And this is a real issue, because companies and fascists are good at telling relatable stories to win people to their side. If we want to have any chance at fighting back, we must utilize the same tools they’re using, instead of calling people stupid and thus driving them away.

deleted by creator

Backed by VC, so you know they’re just waiting for an exit

That’s because ChatGPT and LLM’s are not oracles. They don’t take into account whether the text they generate is factually correct, because that’s not the task they’re trained for. They’re only trained to generate the next statistically most likely word, then the next word, and then the next one…

You can take a parrot to a math class, have it listen to lessons for a few months and then you can “have a conversation” about math with it. The parrot won’t have a deep (or any) understanding of math, but it will gladly replicate phrases it has heard. Many of those phrases could be mathematical facts, but just because the parrot can recite the phrases, doesn’t mean it understands their meaning, or that it could even count 3+3.

LLMs are the same. They’re excellent at reciting known phrases, even combining popular phrases into novel ones, but even then the model lacks any understanding behind the words and sentences it produces.

If you give an LLM a task in which your objective is to receive factually correct information, you might as well be asking a parrot - the answer may well be factually correct, but it just as well might be a hallucination. In both cases the responsibility of fact checking falls 100% on your shoulders.

So even though LLMs aren’t good for information retreival, they’re exceptionally good at text generation. The ideal use-cases for LLMs thus lie in the domain of text generation, not information retreival or facts. If you recognize and understand this, you’re all set to use ChatGPT effectively, because you know what kind of questions it’s good for, and with what kind of questions they’re absolutely useless.

You can buy all sorts of stuff if you have money burning in your pocket, but as far as essential goes, you’ve already got it all.

That said, you might want to get a multipurpose USB-C dongle, for connecting the deck to an external display, keyboard, mouse, ethernet and such. The Deck Dock is okay, but there are cheaper options with the same functionality.