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Announcing our partnership with @ManycoreTech Manycore Tech is a leading global provider of spatial intelligence, focused on accelerating the integration of AI into the physical world. Axis Suite delivered a set of complex, physics-ready simulation assets to support Manycore's 3D generative model. A true 3D world model needs more than pixels: it needs interactive environments grounded in physical reality. With these high-fidelity assets integrated into the model, Axis Suite provides the physical signals required to build the next generation of spatial intelligence. Read more about Manycore Tech:
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Hey hey hey! You know I've been intensely into AI for games this year. I built an entire AI-powered engine for creators who don't code, because I want everyone to make their dream game and reach higher than "indie." So I'm proud to announce I'm an official judge for the @ManycoreTech Aholo 3D AI Hackathon. All entries should use Aholo Lux3D in some way to make assets. Solo dev or a team of 3. Open worldwide. $47,800 in prizes! Use as much AI as you can muster. Give it your best shot! Deadline is Nov 19. Go build.
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NEW DATA ACQUISITION: Axis enters the chat! Axis Robotics is a San Francisco startup founded in 2025. They build a data engine that generates robot-manipulation training data at scale through a crowd of contributors rather than its own robot fleet. It has four parts: - a task-generation engine that randomizes diverse atomic tasks - a browser-based simulation-teleoperation interface where anyone remotely drives a simulated arm to produce motion trajectories - a mobile app for zero-hardware egocentric real-world capture (i.e. filming a task with a phone) - and a processing pipeline that cleans trajectories, applies domain randomization and adds dense language annotation, with human-gated DAgger intervention loops. It packages the output as customized "Task Packages" sold to robot hardware makers, physical-AI model companies and industrial-automation firms (named partners include Booster Robotics, Manycore Tech, Feagine Robotics, Dexmal, Lotus Car, Geely Auto and SomaStacks). I find it interesting that two of its four components need no robot at all: a browser interface where anyone drives a simulated arm to produce trajectories, and a phone app for egocentric real-world capture with no rig. You do not need an ALOHA setup or a fleet, only a browser and a phone, which is what lets it claim a six-figure contributor base.
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