https://www.chessprogramming.org/Artificial_Intelligence

" the term ‘artificial intelligence’ was coined by John McCarthy in the proposal for the 1956 Dartmouth Conference [4] . In its beginning, Computer Chess was called the Drosophila of Artificial Intelligence. "

Expert Systems:

https://en.wikipedia.org/wiki/Expert_system "In artificial intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert.[1] "

Chatbots in AI:

https://liacademy.co.uk/the-story-of-eliza-the-ai-that-fooled-the-world/

https://en.wikipedia.org/wiki/Eugene_Goostman

Lisp is a language USED for AI research, that doesn’t make it AI itself. “Lisp was an AI language.”

I didn’t say Lisp was AI. I said it was a language used for AI.

Chess programs were AI. Expert systems which were regular logic were AI. Lisp was an AI language. Chat bots were AI.

This is a bot which makes it a type of AI and it’s really inaccurate.

Detection is completely broken because it finds terms that aren’t anywhere in the thread, even as substrings.

AI isn’t just LLM.

Why was this upvoted? It’s AI slop giving definitions for acronyms that aren’t in this thread and not even related to backups.

This is a much better idea than those products that are $1000 for a bad laptop with a tiny eink screen.

For the eye strain. Gotta build up those muscles.

Yes that’s why I said 10 seconds. I looked up the webpage on way back and divided it by 56kbs.

It was owned/run by a teen that was signed up as a customer on my ISP. He got a legal letter from Paramount and gave it up.

Because most dial up website pages took 5 seconds or less to load.

I found one of the most graphic heavy websites from 1998, sttng.com and it was 50KB. That’s 10 seconds to load on a 56kbs modem (you’d never actually get 56kbs).

When he says “fight or perish”, maybe he means fight for your right to party. Dog of course refers to I Wanna Be Your Dog by the Stooges. The ego perishes under the weight of uncontrollable love.

The Thor is more like a mini Steam Deck replacement instead of a Gameboy replacement. So the limitations of boot times and standby time aren’t seen as a problem when the alternative is a laptop.

There’s nothing to really tweak on Android because it is Android which hides most things from your control. I did everything I could. If you play every day and charge every day it’s fine. But if you treat it like a classic handheld you will be frustrated.

A real handheld like a Gameboy Advanced can be left in a drawer for a year and ready to go. That’s the experience that a Linux retro gives you. You don’t have to constantly think about charging. It’s instantly ready whenever you are.

I have a Retroid but despite the hardware being fantastic, I wouldn’t recommend it because Android is a bad retro gaming experience.

Instead of turning on the device and instantly being in a game, you have to boot Android, which is ridiculously slow. If you don’t do a full shutdown after playing, you’ll find your Retroid’s battery dead the next time you pick it up because of Android’s idle battery drain.

Linux retro handheld’s like the Miyoo Mini work so much better. You turn it on and you are in your game in 10 seconds instead 45 just to get to the os and then need to load the emulator, load game and restore state. When you hit power on a Miyoo or equivalent Linux, your game state is saved and the device fully powers down so there is no idle power draw.

Maybe the wolf is finally what it always wanted to be: fabulous.

Can a random person (my mother in law and other non techie family) connect to my tailscaled jellyfin using a Roku or AppleTV? I thought tailscale needs a wireguard client.

I think it’s the other way around. Jellyfin recommends docker.

I tried switching and I’ll try again. But getting https reverse proxy was a lot of moving parts that I never got working.

The instructions were a long chain of learning:

Install ngnx for reverse proxy

Ngnx only available as docker

Install docker

Docker not working because I don’t understand it.

Install podman

Give up and go back to 3d printing where I have a backlog of stuff that actually needs to be done.

OpenAI and others have had data centers training models for 10 years. Chatgpt was released in 2022. A data center was churning for years before release to create that model.

Yes LLM’s can beat humans in many tasks. But the jump from super spell checker to real AI is still huge.

It’s like the 1960’s where computers were beating chess players. (Not grand masters but they could beat regular people.) Because a computer could out think a regular human, people assumed that with more resources, we would have real AI in 25 year. That was Hal from 2001 Space Odyssey. It seemed very reasonable in 1968.

No but if you don’t try, you won’t find where the Goblins are hiding.