Been trying to do that with my fire 8 for years.

It's been passed around to a couple of gurus, still a fire 8.

A friend gave me a 2024 fire 10. Gave it back to her for donation somewhere else. Won't see my sd card with my 80G library again. For the third time in 5 months

Pulled the sd card and it will go in the jar with the rest until I buy an android tablet I can root. Later this month.

Both kindles are headed for Goodwill.

I obviously won't miss them.

Yeah I'm kind of done feeding Google every scrap of information about me for advertising purposes. I switched to private search and email last year for about $100/year and don't miss them at all.

Mx25 Infinity on my 2008 hp G62 laptop. (Whoops, using xfce with gnome fork). Acting as a kodi server.

antiX26 on my i7 laptop. zzzICE wm. Daily driver.

PIOS on my pi3b. Xfce, jellyfin server.

All idle at less than 800mb. The jellyfin server doesn't have to do transcoding, serves up three streams at a time.

The kodi box is also the backup dev box, but with 8G of ram, I've never seen it at 50 percent.

The i7 is new as of 2 months ago. It's just shit fast compared to my usual. I'm still trying to catch up.

All of these Debian OS derivatives/compatibles I have run successfully and usefully from a 4G thumb drive.

I also ran Mx23.1 (wildflower) on the pi3b for about 8 months. Used it as my first kodi server. Functioned adequately if not spectacularly, and this is on 1G.

All run firefox as the default I believe.

Low memory options are out there and fun to use.

output is about 6 tokens/s with 16k context window i'm not having any issues since it went live this afternoon. it's not sparkling like opus 4.5/6 but gets the job done

i generally send it a voice note via telegram while driving and then check back in like 1-2 min, or it is sending me a reminder about something on our shared calendar. it's still faster than texting my buddy about making plans for this weekend or whatever.

I'm using a $200 used ~5 year old (from the ebay listing) HP EliteDesk 805 G6 DM Desktop Ryzen 5 PRO 4650GE 3.3GHz 32GB RAM 512GB SSD WiFi in cpu mode... you don't need a gpu to run single user local LLM... just a bunch of ram. This isn't 2022 anymore

It's about 5 tokens/second which is totally fine for an async assistant. 20 tokens/second is about the lower limit for usable in realtime. You can also set it up to use a smaller model for quick questions (what are the next 6 items on my calendar/to-do list?) and drop through to the bigger slower model for harder questions (can you add this feature to my internal ticketing system and redeploy?)

I ordered 64gb of ram about an hour ago and i'm planning on running either qwen 35B-A3B 8 bit or 122B-A10B 3 bit in fully offline mode.
 
  >the actual cost of 'running the AI.'
 
is a fixed $200 cost (ram upgrade) + electricity

I cancelled my subscription overnight, and I'm using the free credits they gave me to wrap up some things and transition away. I am not going to be locked into someone's walled garden again.

I don't like ads either, but I do like that they (at least for now) have a paid tier with no ads. If there was an option to use google services at some paid tier, without being part of their ad network, I'd probably pay it. But there isn't and llm is as good as search these days (in many cases anyways) so I'm happy to jump ship. Piss off, google.

Trump in his first term was willing to go all-in on human spaceflight to mars...until he realized he couldn't get it done before the end of his term. Trump has always been interested in space stuff...but only if it's achievable within his term. This seems like a play to keep contractors employed and skills sharp until the next administration is seated, which will hopefully be willing to invest in goals longer than 4 years.

Unfortunately everyone picked an opinion two years ago, when AI was genuinely garbage beyond some basic bash scripts or a top 1000 bug/question on stack exchange (which mostly overlap). AI started getting really good in Dec '24, particularly spring '25 and by August 2025 even the $20/mo tier of chatgpt was starting to get legit as OpenAI started to try catching up with (now market leader) Anthropic and their blessed claude code. The 4.5/4.6 models released this year are nothing short of incredible, and the Qwen 3.5 series of models are right behind the state of the art models. Google is doing some stuff too but I'm kind of done giving them my money.
 
In 2-3 years we'll have found all 20,000 top reasons LLMs hallucinate things and solved for 95% of them
 
Creatives rallied against LLMs but as has been proven, nobody actually cares about making funny pictures of , they just want to know that they can.

>What's a better solution, if any?
 
Open source firmware

Yep.

Scanning down the comments -

Nope. They missed it.

Their stock price cratered when everyone realized you can vibe code a ticketing system very easily, which is what jira is at the end of the day. Cutting payroll is the easiest way to shed costs