Yeah the idea is to have the human-AI Agent User interaction Experience designed that way really to allow you to manage multiple personal agent apps, AI apps, etc.
they aren't going to follow rules reliably, they need to be trained with these recognize ambiguity and ask patterns
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
Well what if we were to put an on-device SLM with our custom RL algorithms, Jev-like capabilities for certain risk thresholds of user’s individual preferences of allowing, denying, and asking user when an agent should and shouldn’t act…(some deterministic enforcement where needed)
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
Hahaha fair point, we are actually testing with a small language model ( on test flight) and it seems fine with the battery on my old iphone 12 pro!
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.
Gotcha, yeah data privacy is a big concern for some folks and since we’re local you can set rules to keep data local and not give big tech AI access to it without your permissions. (Zero Trust for AI)
Even if they’re pinging the connectors behind the scene in a cloud agent setup you could possibly get notified or alerted and maybe stop them with Emu(like stop pinging that 24/7 hrs PAT that I didn’t want you too..)
I bet you Muse is constantly data exfiltrating Google Calendar APIs in their cloud agent to be “proactive” this way… not true alignment
for me, it's more about using my phone as little as possible, but I am also more privacy conscious each day
my building just installed ButterflyMX so I told them I will not be renewing my lease, didn't ask the tenants if this is something we want, just an email less than 48h in advance "guess what you're getting"
Hmmm so basically why AI agents get to learn about me but I dont have one set of rules that follows me across all of them
Well I got a chance to look at the website seems interesting enough a mailbox to manage your personal agents with rules? https://trinitite.ai/
Yeah the idea is to have the human-AI Agent User interaction Experience designed that way really to allow you to manage multiple personal agent apps, AI apps, etc.
they aren't going to follow rules reliably, they need to be trained with these recognize ambiguity and ask patterns
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
Well what if we were to put an on-device SLM with our custom RL algorithms, Jev-like capabilities for certain risk thresholds of user’s individual preferences of allowing, denying, and asking user when an agent should and shouldn’t act…(some deterministic enforcement where needed)
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
Battery usage, people don't want their phone to go into coma so quickly
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
Hahaha fair point, we are actually testing with a small language model ( on test flight) and it seems fine with the battery on my old iphone 12 pro!
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...
I've turned off all the Ai stuff on my device, I want none of Big Ai
Gotcha, yeah data privacy is a big concern for some folks and since we’re local you can set rules to keep data local and not give big tech AI access to it without your permissions. (Zero Trust for AI)
Even if they’re pinging the connectors behind the scene in a cloud agent setup you could possibly get notified or alerted and maybe stop them with Emu(like stop pinging that 24/7 hrs PAT that I didn’t want you too..)
I bet you Muse is constantly data exfiltrating Google Calendar APIs in their cloud agent to be “proactive” this way… not true alignment
for me, it's more about using my phone as little as possible, but I am also more privacy conscious each day
my building just installed ButterflyMX so I told them I will not be renewing my lease, didn't ask the tenants if this is something we want, just an email less than 48h in advance "guess what you're getting"