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    Meta’s Muse AI assistant and the question of trust

    One post praises Muse as a solid AI assistant but says many readers distrust Meta. The author argues that its architecture reduces the need for that trust.

    Alexandr WangAW
    Susan ZhangSZ
    Delip Rao @ COLM26DR
    79 Sources, ,

    TLDR

    A post calls Meta’s Muse a solid AI assistant while describing distrust of Meta among people writing to the author. It argues that Muse’s architecture means users don’t really have to trust the company, but expects that won’t reassure everyone. Separately, a Meta staffer says Meta Superintelligence Labs feels more like a startup than any other major lab, citing very small model and product teams and unusually high individual autonomy.

    Combined views

    1.9M

    79 Sources, first seen 20d ago

    Combined views

    1.9M

    79 Sources, first seen 20d ago

    18.3K likes
    20d ago
    first seen 20d ago
    18.3K likes
    1.1K comments
    3.7K saves
    823 reposts
    1.1K comments
    3.7K saves
    823 reposts

    Sentiment

    Positive51.1%48.9%Negative

    Summary

    Many accounts praised Alexandr Wang’s memes and called Muse a great product, while others dismissed the posts as forced and the tool as useless.

    Based on 95 sentiment-bearing replies from 94 accounts across 4 conversations.

    Sentiment

    Positive51.1%48.9%Negative

    Summary

    Many accounts praised Alexandr Wang’s memes and called Muse a great product, while others dismissed the posts as forced and the tool as useless.

    Based on 95 sentiment-bearing replies from 94 accounts across 4 conversations.

    Today's Rank

    —

    Not ranked yet

    Today's Rank

    —

    Not ranked yet

    79 Sources

    Matt Deitke@mattdeitkeIt’s counterintuitive given Meta’s size, but Meta Superintelligence Labs feels more like a startup than any other major lab. The teams building the models and products are shockingly small, and people have an unusual amount of agency. It’s a big part of why people choose to work here.20d
    M.G. Siegler@mgsieglerMuse is a solid AI assistant – if you're willing to trust Meta. Which judging from my inbox, many of you are not! But you also don't really have to given how they architected it. But I know that won't be good enough for some. But it is a good product! https://spyglass.org/metas-amusing-muse/20d
    Bobby Goodlatte@rsg@mgsiegler Moneypenny is a great name for an agent 🫡20d
    Harry Stebbings@HarryStebbingsWhy Matteo might just win with Muse “As software, it is very, very good. It instantly works. This is the definition of great software. Meta already has the infrastructure, and this is running on its own LLM. From an infrastructure perspective, almost no one can compete. That is why it is fast. That is why it works well. You get all the VM, all the infrastructure, all the storage, and they have their own LLM.” @jasonlk Love to hear your thoughts @bigT_sheesh @wailord @hwchase17 @bernhardsson20d
    Sar Haribhakti@sarthakghRT @mgsiegler: Muse is a solid AI assistant – if you're willing to trust Meta. Which judging from my inbox, many of you are not! But you al…20d
    Newcomer@NewcomerMediaMeta’s Muse Eats into Instinct’s Early Lead The personal AI agent war is upon us. For weeks now, tech insiders have been drooling over Instinct, a months-old startup that works as a chat box on WhatsApp or iMessage and books tickets, finds apartments, sends emails, and cancels subscriptions, all for free so far. But even as Benchmark-backed Instinct reportedly seeks a $10 billion valuation, Meta is nipping at its heels. Meta’s Muse, launched last week, connects to each app on your phone and can run the mundane parts of life with its own browser. The browser is visible on your screen, while Instinct runs everything on its backend, with only a chat box visible to you. Instinct has the happy problem — but problem nevertheless — of slowing answers due to capacity constraints, as we’ve experienced along with many others. Meta is aiming to capitalize. Vijay Rayapati, who runs Atomicwork, an AI rival to ServiceNow, said Muse feels faster and he is using it much more than Instinct, a sentiment echoed by many on X. Muse also works on “isolated compute,” Rayapati said, making it faster and more reliable for privacy purposes, compared to Instinct which distributes compute across users. Both companies also have to compete with Town, backed by Andreessen Horowitz and Forerunner Ventures. It is obviously far too early to call any winners, but Meta’s entry, and early success, shows the power that Big Tech incumbents still enjoy. Instinct’s 23-year-old CEO Noah Shinn, who seems to communicate with the world mainly via X, is rolling out new features at breakneck speed, though he doesn’t acknowledge the competition. In recent days, Instinct can now make phone calls, and talk to your friends’ Instinct agents to coordinate plans, taking it deeper into people’s lives. More at @NewcomerMedia19d
    Eric Newcomer@EricNewcomerRT @NewcomerMedia: Meta’s Muse Eats into Instinct’s Early Lead The personal AI agent war is upon us. For weeks now, tech insiders have bee…19d
    signüll@signulllwhen i left fb, i deleted all fb apps except insta (where i do not follow any influencers, just 77 following, & 77 followers, everyone i know irl). but muse roped me back into fb world, it’s very good & easy to use. every other ai company tackling both work & personal stuff became a lot more complicated for normal ppl to utilize which left a huge gap for meta to fill with simplicity. not to mention the ability to push it through one of the largest distribution networks on earth.19d
    Delip Rao @ COLM26@delipraoFINDING: Meta's Muse agent does not scale personally. They have built something that scales to millions of users or more, but it does not scale personally. Let me explain. I tried doing controlled experiments by carefully and incrementally adding complexity. The more things it has to manage, the more cron jobs it has to track, the more slip-ups I noticed. It gets to a point where it stops following important instructions from the past. Some of this could be from typical failure modes — model and harness shortcomings — but I suspect some of it is from silent (from the user's perspective) failures like increased cron job failure rates as they scale the number of users. Oh, they seem to have a long way to go with their models and context management too. For example, Muse regularly asked me for information that was already in its context (model issue) or information that was in the longer history (harness issue). Of course, this is an n=1 observation, but with AI products, vibe evals mean something. Take that as you will. This makes me realize the importance of owning and managing your own intelligence infrastructure with dedicated compute, beyond sovereignty reasons. Going back to Muse, it's an incredibly well-designed product with good UX that might satisfy a few needs of most users, but it's still going to be a reactive agent, like other coworks, requiring user-initiated push as opposed to being a highly personalized ambient intelligence companion. Perhaps that was not Meta's goal with Muse to begin with.19d
    Alexandr Wang@alexandr_wangone point or another, most people realize how much muse can do for them!19d

    79 Sources

    Matt Deitke@mattdeitkeIt’s counterintuitive given Meta’s size, but Meta Superintelligence Labs feels more like a startup than any other major lab. The teams building the models and products are shockingly small, and people have an unusual amount of agency. It’s a big part of why people choose to work here.20d
    M.G. Siegler@mgsieglerMuse is a solid AI assistant – if you're willing to trust Meta. Which judging from my inbox, many of you are not! But you also don't really have to given how they architected it. But I know that won't be good enough for some. But it is a good product! https://spyglass.org/metas-amusing-muse/20d
    Bobby Goodlatte@rsg@mgsiegler Moneypenny is a great name for an agent 🫡20d
    Harry Stebbings@HarryStebbingsWhy Matteo might just win with Muse “As software, it is very, very good. It instantly works. This is the definition of great software. Meta already has the infrastructure, and this is running on its own LLM. From an infrastructure perspective, almost no one can compete. That is why it is fast. That is why it works well. You get all the VM, all the infrastructure, all the storage, and they have their own LLM.” @jasonlk Love to hear your thoughts @bigT_sheesh @wailord @hwchase17 @bernhardsson20d
    Sar Haribhakti@sarthakghRT @mgsiegler: Muse is a solid AI assistant – if you're willing to trust Meta. Which judging from my inbox, many of you are not! But you al…20d
    Newcomer@NewcomerMediaMeta’s Muse Eats into Instinct’s Early Lead The personal AI agent war is upon us. For weeks now, tech insiders have been drooling over Instinct, a months-old startup that works as a chat box on WhatsApp or iMessage and books tickets, finds apartments, sends emails, and cancels subscriptions, all for free so far. But even as Benchmark-backed Instinct reportedly seeks a $10 billion valuation, Meta is nipping at its heels. Meta’s Muse, launched last week, connects to each app on your phone and can run the mundane parts of life with its own browser. The browser is visible on your screen, while Instinct runs everything on its backend, with only a chat box visible to you. Instinct has the happy problem — but problem nevertheless — of slowing answers due to capacity constraints, as we’ve experienced along with many others. Meta is aiming to capitalize. Vijay Rayapati, who runs Atomicwork, an AI rival to ServiceNow, said Muse feels faster and he is using it much more than Instinct, a sentiment echoed by many on X. Muse also works on “isolated compute,” Rayapati said, making it faster and more reliable for privacy purposes, compared to Instinct which distributes compute across users. Both companies also have to compete with Town, backed by Andreessen Horowitz and Forerunner Ventures. It is obviously far too early to call any winners, but Meta’s entry, and early success, shows the power that Big Tech incumbents still enjoy. Instinct’s 23-year-old CEO Noah Shinn, who seems to communicate with the world mainly via X, is rolling out new features at breakneck speed, though he doesn’t acknowledge the competition. In recent days, Instinct can now make phone calls, and talk to your friends’ Instinct agents to coordinate plans, taking it deeper into people’s lives. More at @NewcomerMedia19d
    Eric Newcomer@EricNewcomerRT @NewcomerMedia: Meta’s Muse Eats into Instinct’s Early Lead The personal AI agent war is upon us. For weeks now, tech insiders have bee…19d
    signüll@signulllwhen i left fb, i deleted all fb apps except insta (where i do not follow any influencers, just 77 following, & 77 followers, everyone i know irl). but muse roped me back into fb world, it’s very good & easy to use. every other ai company tackling both work & personal stuff became a lot more complicated for normal ppl to utilize which left a huge gap for meta to fill with simplicity. not to mention the ability to push it through one of the largest distribution networks on earth.19d
    Delip Rao @ COLM26@delipraoFINDING: Meta's Muse agent does not scale personally. They have built something that scales to millions of users or more, but it does not scale personally. Let me explain. I tried doing controlled experiments by carefully and incrementally adding complexity. The more things it has to manage, the more cron jobs it has to track, the more slip-ups I noticed. It gets to a point where it stops following important instructions from the past. Some of this could be from typical failure modes — model and harness shortcomings — but I suspect some of it is from silent (from the user's perspective) failures like increased cron job failure rates as they scale the number of users. Oh, they seem to have a long way to go with their models and context management too. For example, Muse regularly asked me for information that was already in its context (model issue) or information that was in the longer history (harness issue). Of course, this is an n=1 observation, but with AI products, vibe evals mean something. Take that as you will. This makes me realize the importance of owning and managing your own intelligence infrastructure with dedicated compute, beyond sovereignty reasons. Going back to Muse, it's an incredibly well-designed product with good UX that might satisfy a few needs of most users, but it's still going to be a reactive agent, like other coworks, requiring user-initiated push as opposed to being a highly personalized ambient intelligence companion. Perhaps that was not Meta's goal with Muse to begin with.19d
    Alexandr Wang@alexandr_wangone point or another, most people realize how much muse can do for them!19d