The privacy issue blocks me from adopting this or other personal assistants: do I want to give muse my identity data and access to my mail, calendar, and phone so it can do even basic tasks like make appointments or pay bills?
It will be interesting to see if muse's privacy features can get users over this.
I don't understand Muse, couldn't agents already do all this? I have ChatGPT for example and I can have it book tickets and other things for me, it even pulls up a cloud browser if it can't access APIs. It can check for details from my email and use those for the ticket. Now OpenAI has Dots too which is a 24/7 version of the same thing.
Sure, it's nothing super unique but the way that Meta has put all the pieces together including security works really well in practice. Muse seems to be the best of the AI personal assistants for regular people right now.
That’s pretty much the question the article tries to answer! TL;DR - good product design, personality mechanics, and ad-funded tokens is what makes it different.
It’s the most consistent and user friendly agent with the ability to also be a harness for multiple custom agents. I literally had people running around the office amazed by muse last week. It has brought agents to the masses in a way a lay person can understand and use.
“Interestingly, what’s making Muse a success also explains why Google has mostly failed to capture the zeitgeist so far. They have the compute and the ad money to fund something like Muse. But they have no product chops to build something simple and understandable in consumer AI.”
Umm what? Having billions of hourly active users across YouTube, Google, Google Maps, and Chrome still doesn’t mean they have the product chops to build another consumer facing app/service? I think it’s inevitable that Muse will get crushed.
Google has huge amounts of training data but very little of it is relevant to creating an AI personal assistant with good UX for common tasks. Like Gemini might be really good at answering specific questions or generating synthetic content but that doesn't mean it can securely, reliably carry out workflows in a way that feels natural to regular users. At least for now, that part still requires some human vision and product management.
Those are all quite mature products which they have maintained and grew super well. They haven’t had a good track record in consumer AI, there’s no coherent product strategy or offering. They had some localized hits like NotebookLM and nano banana but it hasn’t translated into organic growth and usage for Gemini
I like that you can get root access to the VM your instance runs in, connect it to your tailnet, automate connection approvals, and operate a torrent seedbox on Meta’s infra.
The privacy issue blocks me from adopting this or other personal assistants: do I want to give muse my identity data and access to my mail, calendar, and phone so it can do even basic tasks like make appointments or pay bills?
It will be interesting to see if muse's privacy features can get users over this.
I don't understand Muse, couldn't agents already do all this? I have ChatGPT for example and I can have it book tickets and other things for me, it even pulls up a cloud browser if it can't access APIs. It can check for details from my email and use those for the ticket. Now OpenAI has Dots too which is a 24/7 version of the same thing.
Sure, it's nothing super unique but the way that Meta has put all the pieces together including security works really well in practice. Muse seems to be the best of the AI personal assistants for regular people right now.
I don't understand C, couldn't assembly already do all this?
But chatgpt is still user friendly or claude I think also do these kinda of things
Difference being they're already largely similar so the analogy would be between C# and Java.
UI/UX
Many times, UI/UX makes all the difference in user adoption & use.
But ChatGPT already has the same UI UX.
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Facebook's install base is 3x that of cgpt
Think of it as a Meta-hosted OpenClaw VM for each Facebook user.
Meta is reducing the friction for your parents to run OpenClaw without any assistance.
That’s pretty much the question the article tries to answer! TL;DR - good product design, personality mechanics, and ad-funded tokens is what makes it different.
It’s the most consistent and user friendly agent with the ability to also be a harness for multiple custom agents. I literally had people running around the office amazed by muse last week. It has brought agents to the masses in a way a lay person can understand and use.
“Interestingly, what’s making Muse a success also explains why Google has mostly failed to capture the zeitgeist so far. They have the compute and the ad money to fund something like Muse. But they have no product chops to build something simple and understandable in consumer AI.”
Umm what? Having billions of hourly active users across YouTube, Google, Google Maps, and Chrome still doesn’t mean they have the product chops to build another consumer facing app/service? I think it’s inevitable that Muse will get crushed.
Google has huge amounts of training data but very little of it is relevant to creating an AI personal assistant with good UX for common tasks. Like Gemini might be really good at answering specific questions or generating synthetic content but that doesn't mean it can securely, reliably carry out workflows in a way that feels natural to regular users. At least for now, that part still requires some human vision and product management.
Those are all quite mature products which they have maintained and grew super well. They haven’t had a good track record in consumer AI, there’s no coherent product strategy or offering. They had some localized hits like NotebookLM and nano banana but it hasn’t translated into organic growth and usage for Gemini
I like that you can get root access to the VM your instance runs in, connect it to your tailnet, automate connection approvals, and operate a torrent seedbox on Meta’s infra.
Totally theoretical of course
right, it could be made up
https://neuromatch.social/@jonny/117329100531227330
perhaps its for plausible deniability next time they torrent training data /s