Posted by yks 16 hours ago
If Muse could actually just show me content that I want to see and cut out all of the other crap, I'd be willing to use it. Of course, there's no way Zucc will pay for an expensive AI service that will undercut his main revenue stream.
The onboarding experience of answering a WhatsApp message asking simply "what have you been putting off?" was pretty slick. Now I just want to see a version I can run on my own hardware so I don't have to worry about some sketchy company hoarding my data.
I know OpenClaw and Hermes are supposedly answers to this, but I find that they've each become so bloated with features that they're far more difficult to use and bug prone than I'm happy with. I'd prefer something more opinionated that limits the surface area for bugs as well as the number of decisions I need to make as an operator.
Parsing natural language and solving climate change are downstream of making restaurant reservations.
Universal Paperclips should have been about making restaurant reservations.
At any rate, it would be interesting to see what the actual capabilities would be. The Meta AI integration with WhatsApp actually sucks so bad. Hope it's better than that.
[0] - https://ai.meta.com/learn/agentic-ai/what-are-ai-agents/
[1] - https://ai.meta.com/learn/agentic-ai/agentic-ai-examples/
Maybe I'm in the minority?
But even in this hypothetical world I would still have a hard time teaching an LLM what I find important in a product. Not everything can be captured in easy to compare numbers. "Does the device creak under pressure?", "What's the one weirdly unergonomic thing about it you only notice after weeks of using?"... Stuff like that. Things which are easy to miss even if the model ingests all relevant reviews about the product, because it might not stand out, but might be important for me.
I asked it to check once a day for the next week and notify me of any price changes
That's sensible. Hopefully you can set a spending limit too? I'd be OK giving my agent a $100 limit.
Now they have Muse Spark 1.3, which is somewhere between Sonnet and Flable (Opus tier in my experience) in intelligence, but is very fast at 200+ tok/s.
I have been using Muse Spark 1.3 contrib (the one that shares your data for training but is much cheaper) via OpenCode Go $10/mo plan for coding and the thing flies, it's a pleasure to use. I think the only faster acessible model currently is Gemini 3.8 Flash which is around 250-280 tok/s.
There is already evidence of groups setting websites and "think tanks" that aren't for human but for influencing AIs scraping them.
I wonder if having the contributor model read and summarize your propaganda would be even more effective. Instead of astroturfing reddit, just feed it to the model directly. Give it generated threads and ask it loaded questions.
My personal opinion is that trying to make LLMs inefficient is futile and causes even more waste of earth resources.
It's like trying to stop a coal-powered locomotive by parking a truck on the rails. You're just going to make the thing burn more coal before reaching it's destination.