951–960 of 1001 posts
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That gives _you_ a feeling that it's always on. It still can't model time.
Or feeling things for that matter.
> Or feeling things for that matter.
Philosophical zombie experiment, the conclusion is qualia dont matter, only IO. If two systems have the same behavior there is no meaningful difference.
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The amount of ram available on a Mac Mini is not good enough for a decent open model for OpenClaw, everybody is using remote AI services on those.
You can get up 64GB of memory. It's very difficult to get this much memory on a graphics card.
If you look at the videos and blog posts where they recommend getting a Mac Mini for this are recommending the base model (which comes with just 16GB), precisely because it’s the cheapest Mac that can read your reminders, use iMessage etc. that’s what those using OpenClaw want from the Mini, not its inference capabilities.
I still don't understand what openclaw is or does and i've read the docs multiple times over. "Any OS gateway for AI agents across WhatsApp, Telegram, Discord, iMessage, and more. Send a message, get an agent response from your pocket. Plugins add Mattermost and more." "What is OpenClaw? OpenClaw is a self-hosted gateway that connects your favorite chat apps — WhatsApp, Telegram, Discord, iMessage, and more — to AI c…
I had exact same issue with it. I don't get it. Integration of LLM with chating services is simple, how does it change anything?
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My life is wayyy too basic and simple to need any sort of always available digital agent like these!
I’m actually way happier once I actively started looking to REDUCE the technology in my life.
But has to be done carefully to not increase the scope of things being done
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> Reminds me of the Dropbox launch on HN where the top comment was something like: > > Yes but why not just rsync? Commenting on this comment is so out of date. Dropbox is an anti-user pile of shit, and rsync is way better.
finally in 2026 the why not rsync comment would even make to paul graham more sense than the dropbox pitch
Why not rsync rahrah remember guys? You know the one right guys rahrah
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The pattern I found that works ,use a small local model (llama 3b via Ollama, takes only about 2GB) for heartbeat checks — it just needs to answer 'is there anything urgent?' which is a yes/no classification task, not a frontier reasoning task. Reserve the expensive model for actual work. Done right, it can cut token spend by maybe 75% in practice without meaningfully degrading the heartbeat quality. The tricky part…
Maybe I’m out of touch but why do you need an LLM to decide if there’s any work to be done? Can’t it just queue or schedule tasks? We already have technology for that that doesn’t require an LLM.
Like "if it's raining, remind me to grab my umbrella before I leave for work"
-> "is it raining?" requires a tool call to a weather service
-> "before I leave for work" needs access to the user's calendar and information when they leave compared to the time their work day starts
-> "remind me" needs a way to communicate to the user in an efficient way, Telegram, iMessage or Whatsapp for example.
I’ve been building my own “OpenClaw” like thing with go-mcp and cloudflare tunnel/email relay. I can send an email to Claude and it will email me back status updates/results. Not as easy to setup as OpenClaw obviously but alt least I know exactly what code is running and what capabilities I’m giving to the LLM.
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No disagreement. It just feels like increasingly it’s getting more cynical. It’s probably the case with most online communities but it’s a shame to see it so much here now.
It's not cynical it's explanatory. Someone asked why it's successful and I restricted myself to making factual verifiable claims.