Abstract

We’ve raised 75m in new funding from Sequoia and Spark Capital—partnering with @sonyatweetybird, @MikowaiA, and @YasminRazavi, all of whom are deeply supportive of our long-term mission. We’ve also brought on angels & advisors including @karpathy, @tszzl, and @_milankovac_. ----- Our early results with FDM-1 moved computer use from a data-constrained regime to a compute-constrained one; this latest round of funding unlocks several orders of magnitude of compute scaling for that work. With the FDM model series we have a path to scale agentic capabilities through video pretraining, and we expect to achieve superhuman performance on general computer tasks in the same way that current language models have superhuman performance on coding tasks. We’re also now able to invest in the blue-sky research necessary to our long term mission of building aligned general learners. To realize the civilizationally transformative impacts of AI, models must generalize far out of their training distributions, actively exploring and building skills in new environments. This capability represents a substantial shift from the current paradigm of model training. We believe that current alignment techniques are insufficient to predictably and safely steer a model with human-level learning capabilities, and so we’re doing work to study small versions of this problem in controlled environments to develop a science of alignment for general learners. We’re a team of 6 people in San Francisco. We’re hiring world-class researchers and engineers to help us achieve our mission. If that’s you, please get in touch.

We raised a Series B led by @sequoia at a $2 billion valuation and I’m excited to welcome @andrew__reed to our board. All our existing investors doubled down: @kleinerperkins, @IndexVentures, @khoslaventures, @firstround, @sparkcapital, @AbstractVC, and @terraincap.

We just raised $30M at a $500M valuation, after never spending a dollar on marketing. 4 million people decided @ComfyUI was the platform they wanted to build on, and they shaped it into something we never could have shipped alone. This funding will accelerate our mission to build an open infrastructure, the kind that lasts, the kind that empowers rather than locks in.  The core stays open, local stays first, and every part of this round goes toward building for the people who create things for a living. The next chapter of creative AI is going to be built by them, not handed to them. Round led by @craft_ventures, with @PaceCap, @chemistry and Tru Arrow joining. Total funding now $47M.

I've left OpenAI and the Codex team to build Blackstar: A new hardware company building the future of human-computer interaction. We believe that software is solved. Building apps is now easy, but the next meaningful improvement in human-AI communication requires changing the OS & hardware. That's why we're building a new device entirely. I'm also excited to announce our $12m seed round led by @AbstractVC, with participation from @naval, @SVAngel, @chapterone, and Timeless, among other amazing angels who've supported us from the old Alex days.

Gmail organizes your emails. @extradotemail organizes your life. Live today. extra.email

x.com/i/article/2044…

This is the story of Hyperliquid, the most profitable startup per employee on earth, told from a guarded office in Singapore. Last year, its team of 11 generated $900 million in profit. It's 3 years old, has never taken a dollar of venture capital, and is beginning to change how century-old markets work. Its founder, Jeffrey Yan (@chameleon_jeff), had never taken a physics class when he picked up a textbook at 16. Two years later, he won gold at the International Physics Olympiad. In 2019, he started trading with $10,000 from a living room in Puerto Rico—working off a television because he didn't own a monitor. Within 3 years, he was running one of the largest anonymous crypto trading firms. Then he shut it down. Yan was rich and free, but he had spent years inside crypto, watching it betray itself. Bitcoin's central premise was decentralization. Yet the biggest exchanges were centralized. Crypto kept reintroducing the dependence on trust it was built to eliminate. He set out to create what should have existed. Hyperliquid is a blockchain with a trading exchange on top, and anyone can build on it. Yan's vision is to house all of finance. In 3 years, it has done over $4 trillion in volume. And in the past few months, it has begun to outgrow crypto. Markets for oil, silver, and the S&P 500 now trade on Hyperliquid around the clock, weekends included, and are growing roughly 40% week on week. When the US and Israel bombed Iran on a Saturday in February, Hyperliquid was the venue traders turned to. Hyperliquid's success has cost Yan his freedom. He works out of a secret office in Singapore and cannot travel without two bodyguards. Even the team's housekeeper doesn't know what they do. In January, @domcooke spent a week at their office. Read his profile on Yan and @HyperliquidX below.

I'm thrilled to announce @SycamoreLabs, the trusted agent OS for the enterprise. We raised a $65M seed led by @coatuemgmt and @lightspeedvp, with @AbstractVC, @DellTechCapital, @8vc, @Fellows_Fund, @e14fund, and an exceptional group of angel investors.

x.com/i/article/2028…

I’m excited to share that Ease Health is coming out of stealth with a $41M Series A led by @a16z, alongside @AbstractVC, Sunflower, F3, and @BoxGroup, to build the AI-native operating system for behavioral health. Behavioral health runs on some of the most fragmented infrastructure in healthcare. Providers are forced to stitch together EHRs, billing systems, CRMs, schedulers, documentation tools, and compliance workflows just to operate. We started Ease because this is not a tooling problem. It is an architecture problem. So we rebuilt the system from the ground up. Ease is a single platform where AI is not a bolt-on. It is foundational. -Documentation is handled by an ambient AI scribe. -An AI voice agent can manage intake and scheduling. -Our CRM auto-enriches leads and logs activity automatically. -Front desks can instantly match patients to the right provider. -Charts are audited continuously. -Utilization review and prior authorizations can run autonomously. When data is entered once, it flows everywhere it needs to go across clinical records, billing workflows, and reporting. One through-line of truth across the entire organization. Since launching, we have grown quickly and now support hundreds of behavioral health providers across inpatient, outpatient (IOP, PHP, MAT), and residential. The behavioral health crisis is not a demand problem. Providers are buried in manual documentation, claim denials, compliance friction, and disconnected systems. We are building the system designed to remove that burden. We are grateful to Andreessen Horowitz for leading this round, and thankful for the support of all of our investors and partners who believe in rebuilding healthcare infrastructure the right way. Your conviction and partnership mean a great deal to our team.

Today we announced our $150M Series B led by @IndexVentures with major participation from @Redpoint and returning investors including @ThriveCapital, @Felicis, and @AbstractVC. Across aerospace, energy, and manufacturing, engineering teams are pushing what’s possible. The software behind many of these systems hasn’t kept up. Revel gives engineering teams the infrastructure to test and control complex hardware systems with speed and confidence. In just over a year, we’ve built a world-class team, converted every pilot into a customer, and are now expanding the platform across new industries. If you believe great hardware deserves great software, we’re hiring across the board.