Introducing ACT-2 Preview
The first robotics model to unify broad generalization with high reliability. A single fine-tuning example can teach Memo a new behavior that generalizes.
Zero shot, real unseen homes, 99% success rate.
1/ muse spark 1.1 is an industry-competitive agentic and coding model. across many agentic evals it rivals gpt-5.5 and opus-4.8.
available now through the new meta model api and in meta ai. 🧵
There is a lot of discussion around recursive loops of self-improvement for AI. Using AlphaEvolve at Substrate has given us a clear glimpse into this future, and is now accelerating the ultimate recursive loop: AI improving itself all the way down to the atoms.
2013 / Daniel Ek @eldsjal
“I think in 30 years we’re going to look back and say that the way doctors are treating us now is close to witchcraft,”
Ek spends spare hours thinking about how to fix a “screwed-up” healthcare system, reading PhD papers on genetics and DNA sequencing. He is vague on whether this “pet project” could be the germ of a new company, saying it may take five to 10 years to have the necessary technology. “I’m not the inventor,” he adds, “but I may be the person that’s dumb enough to go against the system and try to beat it on its own terms.”
https://t.co/a5fifn3p9k?
.@dps, @alcor and I -- along with the entire @Dreamer team -- are joining Meta Superintelligence Labs today!
The idea behind Dreamer is simple: every person should have the power to create software that makes their lives better.
We're excited to make this happen for billions of people.
And personally, I'm really psyched to be rejoining so many old friends at Meta!
Excited to announce that @hbarra , @alcor and I are joining Meta Superintelligence Labs with the entire @Dreamer team today.
The last few months have been extraordinary: we built Dreamer, put the beta in the world just a month ago, and saw magic come to life for real people. Since then, thousands of people have used Dreamer to build personal, intelligent software with our Sidekick in the world’s newest and most popular programming language: English!
They're building and sharing agents to manage email, calendar, and to-do’s, create learning tools for their kids, learn new languages, plan trips with friends, become better cooks, help them with work, achieve their health goals, or simply to creatively express themselves—all sorts of surprising and uniquely personal needs. These are agents as unique as the people building them, because they're built exactly the way each person wants them to be. We’ve captured some of our favorites at https://t.co/G6nrHTsN5i.
What matters most here isn’t the early momentum; it’s what Dreamer has enabled people to do. People are building things they’ve wanted for years. They’re solving real, important problems no traditional software company would ever prioritize, because they’re too niche, too bespoke, too personal. What company would ever build for an “n of 1”?
Our bet from the beginning has been that software should be personal, malleable, and shaped by the person using it. The constraint was never people’s imagination. It was the fact that building software is out of reach for most people. This early chapter gives us conviction that the idea resonates, the need is real, and the moment is now.
@alexandr_wang was helpful to us from the very beginning, and when we showed Dreamer to Mark Zuckerberg and @natfriedman earlier this year, it was clear right away that we share the same vision of the future: one where billions of people have the power to create software that makes their lives better. We’re thrilled to accelerate this mission by joining Meta Superintelligence Labs and licensing our technology to Meta. Read more at https://t.co/KvmdoPJVbU.
Deeply grateful to our investors @jillchase124 and @ninaachadjian for supporting our vision for a more personal, creative, and intelligent future for software. Thank you for the trust, the thought partnership, and for being in our corner at every step.
To everyone in our community who built with us: thank you. You've taught us what's possible, and you're the proof this works. We're so grateful, and we're just getting started!
@dps, @alcor and I -- along with the entire @Dreamer team -- are joining Meta Superintelligence Labs today!
The idea behind Dreamer is simple: every person should have the power to create software that makes their lives better.
We're excited to make this happen for billions of people.
And personally, I'm really psyched to be rejoining so many old friends at Meta!
Excited to announce that @hbarra , @alcor and I are joining Meta Superintelligence Labs with the entire @Dreamer team today.
The last few months have been extraordinary: we built Dreamer, put the beta in the world just a month ago, and saw magic come to life for real people. Since then, thousands of people have used Dreamer to build personal, intelligent software with our Sidekick in the world’s newest and most popular programming language: English!
They're building and sharing agents to manage email, calendar, and to-do’s, create learning tools for their kids, learn new languages, plan trips with friends, become better cooks, help them with work, achieve their health goals, or simply to creatively express themselves—all sorts of surprising and uniquely personal needs. These are agents as unique as the people building them, because they're built exactly the way each person wants them to be. We’ve captured some of our favorites at https://t.co/G6nrHTsN5i.
What matters most here isn’t the early momentum; it’s what Dreamer has enabled people to do. People are building things they’ve wanted for years. They’re solving real, important problems no traditional software company would ever prioritize, because they’re too niche, too bespoke, too personal. What company would ever build for an “n of 1”?
Our bet from the beginning has been that software should be personal, malleable, and shaped by the person using it. The constraint was never people’s imagination. It was the fact that building software is out of reach for most people. This early chapter gives us conviction that the idea resonates, the need is real, and the moment is now.
@alexandr_wang was helpful to us from the very beginning, and when we showed Dreamer to Mark Zuckerberg and @natfriedman earlier this year, it was clear right away that we share the same vision of the future: one where billions of people have the power to create software that makes their lives better. We’re thrilled to accelerate this mission by joining Meta Superintelligence Labs and licensing our technology to Meta. Read more at https://t.co/KvmdoPJVbU.
Deeply grateful to our investors @jillchase124 and @ninaachadjian for supporting our vision for a more personal, creative, and intelligent future for software. Thank you for the trust, the thought partnership, and for being in our corner at every step.
To everyone in our community who built with us: thank you. You've taught us what's possible, and you're the proof this works. We're so grateful, and we're just getting started!
Kicking off now: @eladgil, @swyx, @dps take your agent ideas and build them in real time in @dreamer.
Reply in this thread with your ideas. We’ll build a few of the best ones and share progress + links as we go.
You dream it. We build it. 👇
Will make AI agents via @dreamer for you this AM w/ @dps and @swyx
Post a reply in-thread @dreamer below 👇& will build agent to do your bidding!! 🤖
If you don’t have @dreamer access yet, i'm helping out to do a sneak peek today!
Starting now: Reply in-thread on the post below with what you want an agent to do. @eladgil, @dps, and I will build the best ones and post as we go. 👇
literally: ANY personal/family software you always wanted for yourself but never got around to building. lets go.
A few weeks ago, I showed @dreamer to @eladgil. He had a wild idea: we should just take people’s ideas, build them, and post what we make. Fun! I mentioned it to @swyx and he was in too.
We’re kicking it off now: if you have an agent you wish existed, reply to the @dreamer thread below👇
i tried @dreamer and it is the first AI agent product that actually feels like a personal operating system and not just another chatbot
what it is -> you natural language build an arsenal of AI agents that can handle everything from writing emails, to being your personal trainer, to managing your calendar.
initial impressions:
1. it basically manages my inbox now. I forward stuff to my Sidekick via email, it drafts responses automatically, triages. I could cry at how well it drafts my emails in my voice. everything just… works...on first try?
2. the agent builder experience is unmatched for technical AND non-technical people. you describe what you want in natural language → Sidekick rewrites it into a detailed blueprint you can review → then it builds the entire agent for you. works surprisingly well on first shot and you don't have to overthink the initial prompt.
3. the organization of agents is SO good. every agent has its own triggers, memory, database, UI, functions. and they compose. it's so helpful for context switching, instead of remembering and switching through multiple terminals or chats, every agent is it's own widget in your arsenal
4. nice hack I've been doing: ask Claude Code / ChatGPT / whatever to summarize my full chat history and everything it knows about me → dump it all into Dreamer so Sidekick has full context about your preferences and workflows from day one. massively speeds up the cold start
5. the team is also insane. @dps (ex-CTO Stripe) + Hugo Barra (built Android at Google, led hardware at Xiaomi, ran VR at Meta).
6. as @swyx put it, this is "the most ambitious full stack consumer+coding agent startup" and I agree.
if you've been waiting for the right platform to actually delegate your workflows to AI, go get the beta
Our Day 1 waitlist response was so strong, we made a Dreamer agent to help us prioritize. Here's what builders are already making in @Dreamer. Tell us what you'd build on our waitlist form (it'll help us get you in faster!).
@dps SuperDo is a true daily driver for me.
Agentic to-do management with personal context is mindblowingly cool and useful.
Wrote about it here:
https://t.co/0pxTg7pATe
SuperDo is one of my favorite agents I built in @dreamer. Here's the backstory.
I've been obsessed with to-do apps my entire professional life. Back when I was a PM on the Android team in the early 2010s, I helped start Google Keep as a 20% project. For years I remained proud of building a simple, fast and really useful to-do app.
Google Keep is still timelessly awesome, but it's clear to-do's could use some reinvention.
Enter Dreamer.
Over the holiday break, my wife and I set off to try and reinvent to-dos. Our goal was to create an agentic app that just... took care of things. So we built SuperDo in Dreamer.
With SuperDo, all you have to do is enter your to-do as you normally would. SuperDo then creates a sub-agent (via a Sidekick Task) that researches your entire personal context (emails, calendar, msgs, docs) to figure out steps to get that thing done. It'll also automatically update your to-dos -- including checking it off your list for example when it sees an email update. And my wife's favorite feature -- SuperDo proactively turns emails or msgs into to-dos for you.
What's interesting here is that in our previous tech era there would be an _entire_ VC-backed company building this, and I don't think they would have come as far as we did over two weekends building SuperDo.
This is just V1 and there's a lot more work "to do" here, but we think this is a really good start. Try it and let me know what you think!
I've connected Dreamer to my slack, email, notion, linear - and of course the web (via @p0). Such a superpower to quickly build agents that work while you sleep - just by asking another agent.
Started testing @dreamer yesterday and… this might be the vibecoding/agent tool for normies (a term I hate). Super simple to build little tools without deploying anything to a server.
I've been messing with a “Content Command Center” agent that scans tech news and pitches story ideas. I review them and add tags and feedback. Next I need to plug it into Google Docs or Notion.
SuperDo is one of my favorite agents I built in @dreamer. Here's the backstory.
I've been obsessed with to-do apps my entire professional life. Back when I was a PM on the Android team in the early 2010s, I helped start Google Keep as a 20% project. For years I remained proud of building a simple, fast and really useful to-do app.
Google Keep is still timelessly awesome, but it's clear to-do's could use some reinvention.
Enter Dreamer.
Over the holiday break, my wife and I set off to try and reinvent to-dos. Our goal was to create an agentic app that just... took care of things. So we built SuperDo in Dreamer.
With SuperDo, all you have to do is enter your to-do as you normally would. SuperDo then creates a sub-agent (via a Sidekick Task) that researches your entire personal context (emails, calendar, msgs, docs) to figure out steps to get that thing done. It'll also automatically update your to-dos -- including checking it off your list for example when it sees an email update. And my wife's favorite feature -- SuperDo proactively turns emails or msgs into to-dos for you.
What's interesting here is that in our previous tech era there would be an _entire_ VC-backed company building this, and I don't think they would have come as far as we did over two weekends building SuperDo.
This is just V1 and there's a lot more work "to do" here, but we think this is a really good start. Try it and let me know what you think!