MuseWear @Meta. Founder, Google Lens. Cofounder, Autopilot @Microsoft. Board@eBay. Past: CPO@MSFT. CPO@Robinhood. VP@Google. Board@CapOne. Eng@Akamai.
San Francisco Bay area
Joined March 2008
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Aparna Chennapragada retweeted
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.
Aparna Chennapragada retweeted
🚨 MUSE ECOSYSTEM ALERT 🚨
today we are announcing Muse Gadgets!
this is an open-source ESP32 firmware and Linux SDK for anyone to make hardware that works with Muse
we are also releasing our own gadget—Muse Home Link—to enable your muse to work with your smart devices (TV, speakers, etc.)
Aparna Chennapragada retweeted
Meta's @Muse is the best personal agent I've tried to date.
It actually save me $800+ a year on my cable and phone bills, which is just insane value for a free AI agent.
Here's my new video where I walk through 10 of my favorite Muse use cases, including a personalized morning news feed, a habit tracker, and how I got Muse to call customer support and negotiate my bills for me.
Honestly, I can see Muse becoming Meta's next billion-user app.
📌 Watch now: youtu.be/eU1ICyI9bCs
It was fun riffing with @boztank on my first 3 months at @Meta 😅, Muse, Wearables, Muse on Wearables (MuseWare? MuseWear?) and building products that live at the intersection of art and tech, with a crack team!
New episode with @aparnacd, who leads product for wearables @meta. We recorded this at Connect after announcing Muse is coming to AI glasses. We talked about what it means for AI assistants to become wearable agents that can actually get things done, and the four simultaneous feedback loops — AI, software, hardware and human taste — that make wearables such an exciting hardware category to work on.
open.spotify.com/episode/5ck…
And now ClawPilot has hatched.
Microsoft Scout announced today at Build and rolling out to customers.
Go team! @jakwern @OmarShahine and gang.
microsoft.com/en-us/microsof…
tfw when a little skunkworks project starts working and turns into something the team can’t work without. #ClawPilot
tfw when a little skunkworks project starts working and turns into something the team can’t work without. #ClawPilot
Another goodie from the team -- "Council"!
Inspired by @karpathy LLMCouncil, we designed and built this ground up, to work for you in your work context.
This was a labor of love and learning for me personally -- e.g. you can see where the models agree, where each one shines, and most importantly, bringing users the best of all model worlds - a council of experts just one prompt away!
Excited to introduce Critique, our multi-model deep research system.
This is the industry's first multi-model research capability, that is designed and built for work. Secure. Compliant. Smart as evaluated by public benchmarks.
In life as in work, turns out second opinions matter :)
So proud of the team! We are hard at work bringing the best of all the model brains to work for you at work.
@satyanadella
CEOs/CTOs: one of the most important lens through which you should pass your decisions right now is “which of the options is more agent-friendly”.
Whether it’s a programming language choice, system architecture path, or product design decision, the more agent-friendly path will win in the long term.
Me, reading the nth post about the importance of taste (ridden with emdashes and not just X but Y lines at that):
"Say taste again!"
Spot on, from @danshipper
I'd go further. We need a new UX for managing the worker agents period. After all, all agents are coding agents in the limit.
Chat is the CLI for normies.
Chat is THE best interface to talk to AI.
But not the best interface to cowork with AI.
We are tinkering with bringing the best of chat and task product primitives together for our Deep Work agents. Hello world in a couple weeks.
@Wattenberger you have been exploring some fun ideas here!
this is what my codex chat history looks like. we absolutely need a new UX for coding agent guis
a few thoughts:
1. my usual workflow is i have one main chat where im doing all my work for the day and then separate windows for each individual issue / feature. once those are in good shape and reviewed, i send them to my main chat to qa on staging and deploy
2. the "main chat" paradigm is nice because i want one place to have a good idea of "here's everything i need to accomplish today, what's been done, and what hasn't"—but right now it's at the same level of prominence in the UX / priority as every other chat which isn't great.
3. the main chat "orchestrator" should also be able to easily know what's going on in other threads. i need to be able to reference other chats easily and also have each sub thread have some idea of what the others are doing by default (should be able to isolate if i want though)
4. it's pretty wild to be doing your n-th codex run of the day, type what you want, and then have the model be like "okay, let's see what's going on here, ahhh there's a repo, and it has X features..." as if it has no idea what i've been doing that day. seems like a huge waste of time and tokens, we need something better by default.
2024: you can just do things.
2025: you can just make things that do things.
2026: you can just make things that make things to do things.
Watch this space as we build "agents for deep work"
Fantastic work by @krishnanrohit
One take away for me: If we want agents to work inside organizations, we’ll need explicit systems and modelling of organizational state with which to boot up the swarms.
Aparna Chennapragada retweeted
Jobs called computers "bicycles for the mind" -- tools we could shape to our will.
But they never were. Until now.
Every morning an agent preps me for my day -- calendar, news, last 24hrs of Slack -- in a personal podcast. I made it by asking. Same for hundreds of other things.
Launching @dreamer in beta today.
That 🧠 bicycle, finally.
dreamer.com
What’s your Golden Gate Bridge?
I was just thinking of Anthropic’s "Golden Gate Claude" from a year or so ago, which hyper-activated one set of features resulting in skewing every chat response toward Golden Gate Bridge.
And it struck me there is a human parallel. We as people and even companies overfit on a pattern so much it becomes the only lens we use.
