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Try shopping with Muse (muse.ai)! Excited to work with @stripe @Shopify and more to make it easy to discover and purchase anything on the internet, with purchase protection.
Some use cases I enjoy 🛍️
- Quick purchases: compare products + sellers, find deals, and check out
- Returns: find items I need to return from my email, file them (negotiate over email as needed), bundle shipping labels for printing
- Item Hunting: I recently bought a keyboard 🎹 from FB Marketplace thanks to a daily monitor
- Gift reminders for friends/family
- Expense audits
- Travel/appointment booking
... and much more. Let us know what you think!
1/ we partnered with @stripe to add convenient payments to Muse with Stripe Link. Muse can make purchases for you; and it asks for your approval before spending your money
Michelle Lu retweeted
introducing muse wonder
our new frontier model. state-of-the-art at personal agents and professional agents.
our largest and most capable model yet—rivals the big bois
Michelle Lu retweeted
Assorted things I've been mulling over regarding agents in the economy:
• Companies are in some sense the original superintelligence. It's often the case that they can use their amortized cognitive surplus to advance their interests against those of certain consumers: relative to the optimization capacity of companies, consumers can be inattentive, underinformed, irrational, etc. (Think, say, of some of the classic insurance upsells at the end of a booking process, which is typically priced substantially above what a regular policy would cost.) Herbert Simon introduced the idea of bounded rationality, and firms often end up benefiting from it. Thanks to personal agents, we will probably get somewhat more rational in how we engage with companies.
• How exactly will outcomes change? Well, certain kinds of price discrimination will work less well (how do coupons work if every agent hunts fastidiously for them?), and certain kinds of customer cross-subsidy will change (today, people who forget to cancel subscriptions subsidize those who don't). Taken across the economy as a whole, I'm not sure what the incidence of all of this will be.
• In corporate strategy, people have long debated the relative importance of distribution and product quality. Perhaps you've made something better, but does anyone know about it? Won't people just continue to buy the ACME Corp Mousetraps? Personal agents will, I think, act as a kind of structural subsidy for product quality. How would markets look different if individuals always spent at least 10 hours researching their purchases? On the margin, focusing on making a product better is, I think, going to become a more effective strategy for companies. This is good!
• It true, a corollary is that information about product quality will become more important and impactful. Today, most people have very limited ability to aggregate and integrate such data, but agents will have insatiable thirst for such signals. (It's often said that data is becoming more valuable because it helps in the training of models. That's obviously true, but I think there's a secondary way in which it's more valuable simply as a complement to cheaper intelligence.)
• A big question is whether agents will increase superstar effects (rational agents all settle on the same product) or increase dispersion (because everyone has slightly different tastes and preferences, which agents are good at eliciting, finally overcoming the artificial clustering we've been subjected to).
• Many internet companies have monetized demand routing, which is in turn often predicated on short attention spans. "I'll click on the first thing I see." This has led to some amount of inefficiency, as companies try to propitiate capricious ranking algorithms and incur various placement fees. It's not all deadweight loss (willingness to pay is itself a kind of signal, which is valuable to buyers), but it's not great. How will the nature and value of this routing change in a world of personal agents? I don't know the answer, but I think that the effects might be pretty big.
• Much of what I'm writing hinges on the assumption that personal agents will be on the consumer's side. I suspect that that will be the winning strategy, but whether it's true, and what it means to be true, involves a lot of other questions.
Taken as a whole, the market is a massively parallelized, decentralized, and highly imperfect value attribution machine, and, taking stock of all of the effects, it seems to me that the quality point may well be the biggest: that agents will change the nature of the backpropagation such that the rewards for better products increase. Maybe this is too optimistic, but I suspect (and hope) that companies that make things that they're proud of will feel that the universe is a little more partisan in their favor.
Michelle Lu retweeted
People do love shopping
.@benthompson says consumer AI has a marketing problem because the average consumer doesn't actually want to be more productive.
"Tech companies are like, 'Let us book your flight for you!' I’ve had a personal assistant for 10 years. He does not come within an inch of booking my flights for me. That is crazy talk."
"I understand which ones are gonna be delayed. I know which seat I want to be on. So the fact that this is continually a demo is hilarious to me."
“Number two: people love shopping. They don’t want to be productive. They want to be entertained. One of the biggest forms of entertainment is shopping.”
"Also, there’s so much information on a product page. Companies have spent so much energy focusing on that. You look at apparel as a category. They’re going to tell you what size the model is wearing, and you want to know that, and you want to look at the different styles."
"The idea of having a personal agent that’s going and getting some of the information and bringing it back to you, and then you’re like, 'Well, what about this other thing? Tell me about this thing.'"
"And you have your eager tech company executive say, “Oh, I have an assistant that can do it for you!"
"And it’s like, no. Not only do I want to do it, I want to complain about it. I’m enjoying myself complaining right now, okay? Would you just let me be and live my life?"
Michelle Lu retweeted
My most useful @Meta Muse use case so far: the serving platter in my mother-in-law's favourite china set broke over the weekend. I sent Muse a picture and it identified it as a Wedgwood Columbia Sage Green covered tureen but found that the pattern had been discontinued years ago. Muse kept digging though and discovered a matching piece on eBay from a vintage seller in Japan. It checked the listing and seller history to make sure it was reputable, asked before paying, checked out with Stripe Link, sorted insured shipping and import fees, and is now watching tracking! Muse checked in when it needed to but otherwise handled everything else end to end.
Michelle Lu retweeted
Instacart is coming to @Muse! Soon, you can connect Instacart, say “Taco Tuesday,” and turn the idea into a cart from your favorite store. Then check out and get groceries delivered to your door. Same Instacart grocery experience, new way to get started. tr.ee/6xWsKG
Michelle Lu retweeted
We are excited to announce we are partnering deeply with Muse to enable agentic checkout with Shop Pay on all Shopify stores, offering people an easy and delightful way to shop and check out with Muse.
Michelle Lu retweeted
Opening access for developers to build Muse connectors. You bring the API -- Muse brings the agent, the browser, and the context of what the person actually wants. People reach your service just by asking for it, and their agent takes it from there.
New connectors are live today. Come build with us. muse.ai/platform
Michelle Lu retweeted
AI feeds in Muse feel like it itself could be a paradigm shift moment similar to Google -> ChatGPT but for social media.
If you think about normal social media platforms, there’s a discrete number of posts and topics to choose from. With AI generated feeds, you move to an unlimited amount of content that can be produced targeted at your specific interests. With the ability to use web search and Instagram / FB, you can also ground the feed in the current zeitgeist of the day.
We’re still quite early, but you can quickly imagine swarms of agents that do research and experimentation on your behalf to create a custom feed for you. For instance, you can imagine them finding products you might want, reading arxiv to find you the most interesting new papers relating to your interests, or even run scientific experiments and tell you about the results of them. For those that are interested in learning from their social feeds, this will be a beautiful thing.
Feeds are interesting because they bring content to you, without you requesting it. It makes the cost of consuming it much lower than you needing to make a request, like you'd do if performing a search or asking an LLM.
I think this is going to become a much bigger primitive in years to come.
Big fan of IG story presets, powered by image generation models. Try: lighting filters, fashion try-ons
IG story creation flow -> Restyle / Effects ✨
ai editing without the vaguely haunted version of your own face… @Meta i was unfamiliar with your game on instagram
Michelle Lu retweeted
Reminds me of these 16x4 ft. wool Central Park carpets designed by Ido Michaeli and woven in Afghanistan
Michelle Lu retweeted
I sent Muse a blog post I wrote about losing a sentimental pair of pants that I bought in Hong Kong 8 years ago…
3 days later, it found the exact same pair on eBay, in my size 🥹
Exciting @Muse shopping coverage in @voguemagazine
Appreciate the blend of coverage across
- Trust and payments
- The personalization/taste opportunity with IG integration (and the beauty of putting this in users' hands)
Please continue to let us know how we can make Muse better.
Try asking Muse to dig through your email and IG saves/brand follows to build a shopping profile! 🛍️
It’s fun to have a summary of your taste in your hands :)
I asked @Muse to scan my email and tell me what it has learnt about me. One of the things it concluded was I am a snacks enthusiast. 💯 ✅















































