Posted by Cyphase 1 day ago
Having said that this thing is on the hype train and its usefulness will eventually be placed in the “nice tool once configured” camp
We can tell you to be cautious or aware of security bullshit, but there’s a current that’s buying Mac Mini’s and you want to be in it.
Nothing I can say changes that and as a grown up, you get to roll those dice yourself.
70% of you are going to be fine and encourage others, the rest are going to get pwnd, and that’s how it goes.
You’re doing something that decades or prior experience warned you about.
After all these years, why do we keep coming back to lines of code being an indicator for anything sigh.
Why are you not quoting the very next line where he explains why loc means something in this context?
Here's the next line and the line after that. Again, LOC is really not a good measurement of software quality and it's even more problematic if it's a measurement of one's ability to understand a codebase.
The Naming Journey
We’ve been through some names.
Clawd was born in November 2025—a playful pun on “Claude” with a claw. It felt perfect until Anthropic’s legal team politely asked us to reconsider. Fair enough.
Moltbot came next, chosen in a chaotic 5am Discord brainstorm with the community. Molting represents growth - lobsters shed their shells to become something bigger. It was meaningful, but it never quite rolled off the tongue.
OpenClaw is where we land. And this time, we did our homework: trademark searches came back clear, domains have been purchased, migration code has been written. The name captures what this project has become:
Open: Open source, open to everyone, community-driven
Claw: Our lobster heritage, a nod to where we came fromI experience it personally as super fun approach to experiment with the power of Agentic AI. It gives you and your LLM so much power and you can let your creativity flow and be amazed of whats possible. For me, openClaw is so much fun, because (!) it is so freaking crazy. Precisely the spirit that I missed in the last decade of software engineering.
Dont use on the Work Macbook, I'd suggest. But thats persona responsibility I would say and everyone can decide that for himself.
Works super nice for me because i am a chaotic brain and never had the discipline to order all my findings. openClaw does it perfectly for me so far..
i dont let it manage my money though ;-)
edit: it sounds crazy but the key is to talk to it about everything!! openClaw is written in such a way that its mega malleable. and the more it knows , the better the fit. it can also edit itself in quite a fundamental way. like a LISP machine kind of :-)
But i book it as a business expense , so its less painful as if it would be for private.
But yeah, could optimize for cost more
Other than that I can’t really come up with an explanation of why a Mac mini would be “better” than say an intel nuc or virtual machine.
Mac mini just happens to be the cheapest offering to get this.
Local LLM from my basic messing around is a toy. I really wanted to make it work and was willing to invest 5 figures into it if my basic testing showed promise - but it’s utterly useless for the things I want to eventually bring to “prod” with such a setup. Largely live devops/sysadmin style tasking. I don’t want to mess around hyper-optimizing the LLM efficiency itself.
I’m still learning so perhaps I’m totally off base - happy to be corrected - but even if I was able to get a 50x performance increase at 50% of the LLM capabilities it would be a non-starter due to speed of iteration loops.
With opelclaw burning 20-50M/tokens a day with codex just during “playing around in my lab” stage I can’t see any local LLM short of multiple H200s or something being useful, even as I get more efficient with managing my context.