If I give these agents access to tools/connectors/data they just "assume" what I want or what it should do rather than asking me? And even if I set these for a specific agent then what happens when a newer personal agent comes out? Do I have to reconfigure again my rules for each flavor of personal agents or harness?
This is where our initial idea stems from and we need feedback:
Emu is a self-learning on-device AI guardian that makes AI agents follow your rules. Also the video above kind of just highlights Emu's concept thought process.
verdverm•2h ago
unfortunately, the labs have different goals that are not aligned with uses who want this
current training is try anything any everything to get the task done, human free operations... it sells more tokens, they have massive investments and debt to return on
JariwalaH•2h ago
Like Muse, Grok bot’s own agents can govern themselves it’ll be kind of bias if the agents knows its own rules and can try to circumvent it or rule hack around if its being trained on RLHF or even if the RLVR optimize for calling tools/data exfiltrating constantly
verdverm•2h ago
I'm not even sure what I need an LLM to do with/on my phone, what are people using these things for?
Also, I have zero trust for Jev like models and use rerankers/policy-tuned llms for some of what you are concerned with
JariwalaH•1h ago
But these are things that we can optimize/research and get tech to work well if users find value from it basically...
Well think of it like a natural extension to apple's iOS, intelligence, utility really from a always "human-in-the-loop" notifications, alerts, across your other personal agent apps like Muse, Grok Bot, Dots, Instinct, etc.. making other AI agents align with your boundaries, rules, values, etc.
People are using Muse to book, send, etc but they make mistakes so essentially avoid things like this - https://futurism.com/artificial-intelligence/metas-muse-ai-g...
verdverm•1h ago