
Building smthng new. Run Surreal & SciFi Club. Past: @Lightspeedvp Invested @Moonlake @SuperMeAI @hyperspell @Stori_MX @getHoneylove @ExaAILabs
San Francisco, CA
Joined January 2011
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Mercedes Bent retweeted
AI can think. AI can talk. AI can get things done.
Today, we're giving Fo a way to feel and control the physical world.
- a head shake and a reminder in a lamp to get you going
- nudge your vacuum cleaner for a deep clean
- make your cli call you for updates
Introducing Fo MCP.
AI has escaped the screen.
🤖 Made with AI
Mercedes Bent retweeted
Introducing Borealis Fusion.
Our goal is the lowest-cost firm electricity from any source.
Our fuel is proton-boron-11 because it allows the simplest and cheapest plant.
Our architecture derives from the tandem mirror, adapted to the fuel.
borealisfusion.com/introduci…
Mercedes Bent retweeted
Exa just passed $100m in annualized revenue.
We've grown almost exactly 10x per year for 3 years. We now handle 2 billion requests a month from 200k+ teams. And it’s still so early:
We predict agents will search 1000x more than humans by 2030.
Agents don't search like humans. They write long, complex queries and want all the world's data, not just the web. We've spent 5 years building a search engine designed for them.
We now serve personal agents, AI labs, coding agents, GTM agents, really any agent. Exa gives these agents access to 100s of billions of web documents and tons of proprietary data.
Our customers are increasingly noticing that information is the bottleneck to agent performance. While the world seems close to perfect intelligence with models like Fable and Astra, we are very far from perfect information.
To our small but legendary team, thank you for getting us here, from engineering to research to GTM to ops.
To our customers, it is an honor to serve you. We have some exciting releases coming soon and can't wait to share them 🫡
Mercedes Bent retweeted
Today, we're launching Sazabi version 1.0.
The reality of shipping software as a team in the age of AI is actually crazy.
Agents merging their own PRs. Hundreds of deployments per day. A codebase that is constantly changing. Junior developers with 10x or 100x leverage. 😵💫
I spent the last year building a safety harness for teams that ship with AI. It's called @sazabi.
The premise is simple:
1. You send us logs.
2. We detect anomalies, investigate them, and send you back rich, actionable alerts about real problems in your app.
Sazabi helps you find issues before your users notice.
No monitors or noisy alerts. Just pure signal.
And today we're making it available for anyone to use.
Mercedes Bent retweeted
Our first mission, Reason-1, has launched.
This is a huge moment for the Cowboy team as we hope to demonstrate power beaming from orbit, with the first commercial kilowatt-class laser in space.
The team is watching live from San Carlos and Seattle today, after years of hard work to get Reason-1 to this moment.
Mercedes Bent retweeted
Been seeing a lot of Astra for real2sim, but what you need for robotics: physics and affordance.
Our SOTA recipe specifically solves for:
• Affordance: model object details that convey functionality.
• Physics: calibrate simulation dynamics against real-world observations.
Our agent has the action space of a “full-stack simulation engineer” and jointly considers geometry, materials, colliders, articulation, and physics. It automatically calibrates physics against real trajectories and matches task-specific dynamics.
Simulation environments is useful only if it can provide meaningful policy level signals. Methods, comparisons, and results below.
Mercedes Bent retweeted
dinner w the design goats! @iansilber, @henrymodis, @paulstamatiou
thank you for organizing a wonderful evening, @mercebent, @veelarco it was truly surreal. 🩵
Mercedes Bent retweeted

Kasturi@itskasturiiiOct 1
United States
United StatesConnected via United States App StoreAccount-level information, not a live location or per-post device.
no one is doing events like surrealbuilders.com
love this community @veelarco and @mercebent are building 🫶
Stanford Prof. @chrmanning on why Moonlake is betting against one giant neural net for its world model, and how coding models changed what’s possible in robot simulation:
"Moonlake is building a world model and simulation platform for robotics deployment and testing."
"There's been these dramatic developments in coding models, with Claude Code, Codex, and other products. That means you can now be using coding-based AI products to build simulation environments."
"The default has been a room full of robots folding the T-shirt, recording all the interactions, which is very slow, very expensive, and not very scalable. That's a large part of what's held robotics back."
"Some other companies are based around, the whole thing is gonna be this one big neural net. Our bet is that that technology is not ready in terms of physical accuracy, long-term consistency."
"Code-based physics-grounded simulation, overlaid with diffusion models for more accurate material surfaces, can provide the accuracy and the long-term consistency."
@moonlake @Stanford
Mercedes Bent retweeted
Exa is now one of the largest indexes in the world.
We serve 80B pages, track 1.4T urls, and are on track to be Google-scale in early 2027.
It's difficult to know the size of indexes, but we estimate Google to be ~1T, Bing to be ~500B, and Yandex ~200B. Brave mentioned in April that they're at 40B.
Most of the web is trash that can hurt AI outputs, so you actually have to crawl way more than you serve and train models to filter out the trash.
In terms of peak QPS, we estimate Bing at roughly 30k/s and Google at ~500k/s.
In our case, because agent traffic often requires large fan-out (deep searches can use dozens of sub-searches) and can be spiky (like when AI labs RL with us), we're already starting to provision for Bing-scale traffic.
Within 2 years, agents will search at many millions per second. They'll also want comprehensiveness over all data, far bigger than any index today. So the retrieval infra required will be larger than Google-scale in both dimensions.
Mercedes Bent retweeted
At @Cadre, I saw the gap firsthand. Large “institutional” firms built their own systems. But everyone else had to deliver with fewer resources, spreadsheets and manual work.
forbes.com/sites/jeffkauflin…
“Institutional” should describe a standard, not a budget.
That conviction became @ellis_company
@JeffKauflin, @Forbes Ryan Williams’ Next Act After Cadre: A Fintech Fix For Private Credit’s Data Mess
Mercedes Bent retweeted
What comes after language?
Join us at AGI Summit 2026 for “Beyond Language”—a conversation on world models, spatial reasoning, and embodied intelligence.
Featuring Christopher Manning, Mercedes Bent, Fan-Yun Sun, and Christian Laforte.
@chrmanning @mercebent @sunfanyun @chrlaf
📅 July 18, 2026
📍 Palace of Fine Arts, San Francisco
🎟️ agisummit.ai
#AGISummit #ArtificialIntelligence #AGI #WorldModels #EmbodiedAI #SpatialReasoning
Mercedes Bent retweeted
Why are you paying for dictation?
We're releasing free, unlimited AI dictation.
And it's not a slow, local model.
Willow Frontier Mini is cloud-based with zero-data-retention. More accurate and faster than Wispr Flow, OpenAI, Deepgram, and more.
See video comparison.
Mercedes Bent retweeted
Introducing Willow Frontier Mini and Willow Frontier Pro.
Frontier Mini gives everyone free, unlimited dictation.
Frontier Pro is our most accurate model yet, built for power users and teams who want the fastest and best dictation experience.
Mercedes Bent retweeted
We raised $4.3M, led by @PanteraCapital
Soon, there will be more agents than people online. Those agents will book flights, hire contractors, enrich customer data, conduct research, and complete transactions without a human in the loop. But today, agents are stuck with whatever tools they were originally given. The moment they need something new, they fail, hallucinate, or hand the problem back to a human.
Orthogonal fixes this. Through a single integration, agents can discover the capabilities they need in the moment, orchestrate them, and pay for them instantly. An agent describes what it wants, and Orthogonal composes the result, calling the right services in the right order.
Our goal is simple: when an agent needs a capability it doesn't already have, Orthogonal will be the first place it goes.
Thanks to @PanteraCapital , @ycombinator, @pioneer_fund, @decasonic, Blast Club, Outbound Capital, Rice Capital (@taro_f), Surreal by Premise (@mercebent & @veelarco), Batch Ventures (CTO Fund), and our strategic investors for backing us. We're building the default front door for the internet.
Mercedes Bent retweeted
A new internet economy, built for agents:
Agents break the old economics of the internet - when everyone has an AI assistant consuming and taking actions, what happens to ads?
Exa Connect is a step toward a new internet economy built on data, not ads. It's a marketplace where data providers choose what to charge for their data, and developers choose which data providers their agents use.
We feel this is the right economic model -- market-based, transparent, value-aligned, and as agent requests scale >1000x over the coming years, will be a more valuable market for providers than the ad market is today.
This is also a good path forward for the internet. It's one that monetizes transformer attention, not human attention.
We don't know exactly what that great intercontinental information exchange called the internet will become, but it's going to change, and we think very much for the better.
Introducing Exa Connect: connecting agents to data beyond the public web.
Available today with ZoomInfo, Crunchbase, Similarweb, and many other leading data providers.
exa.ai/connect
Mercedes Bent retweeted
We saw the action and control layer coming. Now we're going to own it.
Everyone focused on the models. We focused on what happens when the agent actually does something.
@WSJ covered our $60M Series A today: wsj.com/cio-journal/arcade-d…
Mercedes Bent retweeted
just closed our 2nd fortune 500 customer
a decade ago, they were the first client i worked with straight out of college
498 to go
Mercedes Bent retweeted
Introducing Willow Scribe: a voice AI writing assistant that clears your emails, docs, and messages in seconds.
It uses your style and context to write exactly what you want, in your voice. Just say it and Scribe writes it.
See the future of voice AI for knowledge work 🧵




















