It can use ChatGPT I believe, or you could use a local GPT or several other LLM architectures.

GPTs are trained by “trying to fill in the next word”, or more simply could be described as a “spicy autocomplete”, whereas BERTs try to “fill in the blanks”. So it might be worth looking into other LLM architectures if you’re not in the market for an autocomplete.

Personally, I’m going to look into this. Also it would furnish a good excuse to learn about Docker and how SearXNG works.

LLMs are not necessarily evil. This project seems to be free and open source, and it allows you to run everything locally. Obviously this doesn’t solve everything (e.g., the environmental impact of training, systemic bias learned from datasets, usually the weights themselves are derived from questionably collected datasets), but it seems like it’s worth keeping an eye on.

Google using ai, everyone hates it

Because Google has a long history of doing the worst shit imaginable with technology immediately. Google (and other corporations) must be viewed with extra suspicion compared to any other group or individual because they are known to be the worst and most likely people to abuse technology.

Literally if Google does literally anything, it sucks by default and it’s going to take a lot more proof to convince me otherwise for a given Google product. Same goes for Meta, Apple, and any other corporations.

I don’t judge anyone by their weight, but it’s sure hard to direct that same acceptance toward myself.

Yeah same here, but I’m at a weight where I’m exceeding weight limits of things like ladders, furniture, etc. And I’m in terrible physical shape on top of all that. It’s really more of a “tactical” thing for me at this point. Just gotta get it done.

Sounds like you’re doing well, though.

Thank you. Could be better, could be a lot worse. I’m still a social disaster.

And I make my own frozen meals

Me too. The other day I made like half my meals for the entire summer in one giant cook.

Do most people generally eat the same things all the time?

Yeah. IMO variety is expensive because it’s usually cheaper to buy a few things in bulk.

consulting a professional before doing so.

I consulted a nutritionist before doing my first weight loss [1] because I wanted to make sure my diet was nutritionally sound. Surprisingly, it was fine, just too much of everything. Very surprising considering that I’m a picky eater with texture issues, but I’ll take it.

In contrast, my sister had to see a nutritionist to go on hormones and apparently her diet was nutritionally whack, so she had to make a bunch of changes.

vegetables

Please God no (at least not raw)

[1] I put it back on when I went to engineering school, but I managed to keep it off for a couple years. Oh well. I’ll get around to losing it again soon.

Actually Sonic I am frying chicken

If Justin/anyone at Cockos is reading this: please open-source REAPER. You really would be doing the audio community a huge service.

Broke: Saying ‘completely turned my life around’

Woke: Saying ‘completely turned my life around 360°’

Bespoke: Saying ‘completely turned my life around 2π radians’

9.8 Staging currently. I’m on Debian, but I get WINE from the WineHQ repo.

Not the ideal way to do it, but I literally just pirated the game [1] and installed it as a Windows application with stock WINE-staging. I then installed Vortex as a Windows application with stock WINE, installed some mods, and played some modded FNV on Linux. It played just as well on Linux as it did on Windows even with all the mods.

Point being, the way that worked best for me was to just treat it and all its mods as a Windows application and let stock WINE handle it for me.

[1] I purchased the game on Steam but I couldn’t be arsed to find the Windows executables or get it to work with Steam and Proton.

Thanks for replying. It sounds like you basically get two (or some number well below one keys per character) keys and the set of possible characters gets somehow distributed between the two “real” keys, then the keyboard uses a predictive algorithm based on previous input to guess which keys were meant to be pressed.

IMO I’d be willing to try out an implementation of such an idea so long as I could run the predictive algorithm locally on my phone. I do think that current autocorrect + predicting which keys were pressed would require a lot more training data than just a generic autocorrect to get it working sensibly, and I think it would take a lot longer to converge to the user’s “style” if it ever does.

What is a QAZWSX keyboard (couldn’t figure it out by web search), and what does keyboard layout have to do with machine learning? I’m genuinely curious.

But like seriously, I have absolutely no idea what is going on with these images. Like bare-minimum context.

Beautiful. Really like this group.

Faced with threats of ethnic cleansing by Azerbaijan and struggling amid a nine-month long blockade, 100,400 ethnic Armenians, representing 99% of the remaining population of Nagorno-Karabakh, fled by the end of September 2023, leaving a couple dozen people within the region.

Fucking hell…

We were on the verge of greatness. We were this close.

Theoretically this exists: https://github.com/Nikilites/nuzu

Also, I managed to install the Flatpak of Yuzu off FlatHub about a half hour ago.

I’m a simple man. I see Fisto, I upvote Fisto.

In the ASCII character encoding, the hexadecimal number 61 is the letter ‘a’. (Yes, it is lowercase.) 0x is just a notation that indicates a number is in hexadecimal, as opposed to decimal or binary.

Therefore, 0x6161616161616161 translates to the string “aaaaaaaa” (without the quotes or a null terminator).

Brbr DENG Brbr DENG Brbr DENG Brbr DENG Brbr DENG

Me lol