Andrei Kozyrev

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’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.

Today we're launching Era and announcing $11M in funding. We're building the intelligence layer for a new ecosystem of AI devices — the platform that lets any device manufacturer, brand, designer, or creator make objects that think, respond, and act in their own style. We're entering a Cambrian explosion — new form factors, new creators, new objects worth desiring. Made by people who've never had the tools to make them, before today. Welcome to the new Era. Backed by @AbstractVC, @BoxGroup, @topology_vc, @betaworks, @CollaborativeFund, @MozillaVentures, and @AIResidency.

I guess I'm a Thiel Fellow now?! I'm building AI models at @AntifraudCo to catch fraudsters who defraud the American taxpayers. We're qui tam laws to sue the fraudsters directly, and keep 15-30% of the recovery. Today, some fraudster's day got a bit worse... (also we're hiring!)

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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.

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.