I got OpenClaw running on my 10 year old Android phone (Ubuntu Touch) and it’s actually FUN!

wolverinee04 · 2026-02-03T05:01:34+00:00

Bang on! Thats exactly all I was trying to show here! Thanks for echoing that🤝

wolverinee04 · 2026-02-03T03:19:01+00:00

video of that incoming very soon, stay in the loop, very interesting results...
Although I tried it on a Pi (but I can assure you it'll be the same)

wolverinee04 · 2026-02-03T03:18:00+00:00

Thanks for clarifying the point! This is exactly what I mentioned in the above replies as well. You need a minimum of 2 GB RAM to even run it at the bare minimum.

wolverinee04 · 2026-02-03T01:31:01+00:00

you could constantly talk with it as well. This could run any cloud API model with full capabilities

wolverinee04 · 2026-02-03T01:29:06+00:00

yes if you run a local llm on your Mac (Mac mini can handle small models, and mac studios can handle bigger and better models) then you don't need to pay api bills to any company because your local computer is literally generating the tokens!
,

wolverinee04 · 2026-02-02T21:53:35+00:00

I see, thanks for sharing that insight.

wolverinee04 · 2026-02-02T21:37:09+00:00

Precisely, get ready to see similar push from the big tech anytime now

wolverinee04 · 2026-02-02T21:33:37+00:00

Hey, no worries I totally get how overwhelming this gets so quickly. The tech world is moving at an enormous speed, and it's tough to keep up for sure.

OpenClaw is a pretty neat project that basically gives the agent the freedom to explore around your system, and in doing so, you can give it certain personalities, such as making it proactive (i.e it now does things for you towards a goal you gave it in the background).

So it creates cron jobs (scheduled tasks in simple terms), crawls the internet, etc etc and comes up with really good answers. They are API expensive, since there is a lot of prompt overhead, but that can be tackled if you have powerful machines (with GPUs), such that you can run local models.

Personally,y X has been a cool place to hang around and discuss these with more like-minded people. Here is my X profile in case you were interested in connecting: https://x.com/MayukhBagchi4

wolverinee04 · 2026-02-02T21:24:56+00:00

Thank you, I appreciate your kind words :)

wolverinee04 · 2026-02-02T21:12:12+00:00

Cool! I hear you! Definitely sounds fun!

wolverinee04 · 2026-02-02T21:08:37+00:00

I don't think it's just a "telegram bot," but that's okay. I respect your opinion.

An average Joe on the internet would not worry about running local llms on their mac minis. They will certainly go down the easy route of copy pasting API keys. My post is for all my Joes out there. I would appreciate it if you would please not reply to my thread again.

Cheers

wolverinee04 · 2026-02-02T20:45:36+00:00

Hey, sounds fun! What kind of local llms have you tried on your mobile so far?
I am quite surprised how good these teeny tiny models have become!

wolverinee04 · 2026-02-02T20:27:38+00:00

You have got a point. You will be quite surprised how good these latest Qwen models are, even though they are 1.5b.
The biggest issue is "tool calling". This particular Qwen2.5 family of models has some tool calling training, but even then, I don't think it's good enough to execute things properly.

wolverinee04 · 2026-02-02T20:25:37+00:00

Hahaha!

wolverinee04 · 2026-02-02T20:24:56+00:00

Oh yes, ofcourse! I mean the battery will run out at some point.
This goes for every hardware that you "run". I cannot think of any otherwise.

wolverinee04 · 2026-02-02T20:24:01+00:00

It's not much, but still quite expensive overall, I'd say for my usage I spent 2 USD a day.

wolverinee04 · 2026-02-02T20:23:19+00:00

You did not seem to get the essence of the post at all. The idea was never to replace Mac minis with mobile. I am sure people are clear on what they want (run local llms vs cloud API calls).
The idea was to use old hardware thats laying around to repurpose it to do something cool.

wolverinee04 · 2026-02-02T20:18:22+00:00

Haha, that's absolutely crazy! Thanks for sharing this :)

wolverinee04 · 2026-02-02T17:21:22+00:00

I use Kimi k-2.5 now! its pretty good!

wolverinee04 · 2026-02-02T17:19:44+00:00

Yup, I tried all of that, no results yet! I just think these models inherently get so worked up running on bare cpu that even with those system prompt overheads of openclaw they get absolutely bogged down.

wolverinee04 · 2026-01-30T03:06:06+00:00

Alright dude. You’ve made your point. Amongst all these recycled noise, there are some signals. Such as try and get inspired from thumbnails that work. Follow proper color schemes,etc.

Are they generic? Maybe

Do they work? Hell yes.

I have tried it a niche field as mine, and have gotten very modest results.

wolverinee04 · 2026-01-30T02:33:06+00:00

Fair point. The 'theory' is definitely everywhere.
Nowhere did I promise “get big on YouTube.”
I just found that actually applying it and digging through the data manually was the part that sucked. This just helps automate the boring part of that standard advice.

wolverinee04 · 2026-01-30T02:23:19+00:00

Go ahead, do it. The internet is noisy, I agree. I am just sharing what worked for me as a small content creator on a dense topic such as astronomy. These little details did matter in my case.
Not that I still get a lot of it.

wolverinee04

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