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embodied AI robot
Trends
- 1Black Forest Labs releases Flux 3 Action robot model●Flux 3 Action: A 7B open-weight world action model for robots
Black Forest Labs has announced Flux 3 Action, a 7-billion-parameter open-weight world action model for robotics. The release extends the Flux family beyond image generation into embodied AI, letting researchers and companies build robot control systems on openly available weights. Early discussion online centres on what the small parameter size means for real-world robot performance and how an open model could shift competitive dynamics in robotics.
- 2Runway unveils Praxis-1 world action model for robotics▼Runway introduces Praxis-1 world action model for robotics
AI company Runway has introduced Praxis-1, described as a world action model designed for robotics. The announcement, reported by The Robot Report, marks an expansion for Runway, best known for generative video models, into physical-world AI systems intended to help robots understand and act in real environments.
- 3Fei-Fei Li Sells AI Startup for $8.2 Billion▼The Godmother of AI Just Sold Her Startup for $8.2 Billion. Here’s Why Embodied AI Founders Are Nervous.
Fei-Fei Li, often called the godmother of AI, has sold her startup in a deal valued at $8.2 billion. The acquisition is drawing attention across the technology industry, with founders working on embodied AI expressing concern about what it means for their own ventures, including consolidation pressure and raised expectations for valuations in the robotics and physical AI space.
- 4FieldAI raises $700 million at $10 billion valuation▼FieldAI raises $700M at $10B valuation for its robot brain
FieldAI, a robotics startup developing foundation models that let robots operate in unpredictable environments, has raised $700 million in new funding at a $10 billion valuation. The deal makes it one of the most valuable companies in the fast-growing field of embodied AI, as investors pour money into robotics software that could generalise across industrial machines, humanoids and autonomous vehicles.
- 5
China is ramping up efforts in embodied AI, pushing intelligent robots from research labs into real-world manufacturing and service settings. The push aligns with Beijing's broader drive to lead in advanced robotics and artificial intelligence, with companies and government policy both supporting faster development and deployment of humanoid and industrial robots.
- 6Palmer Luckey's robotics argument and China's humanoid push▼Palmer Luckey's strongest robotics argument, ARK's beaten forecasts, and China's embodiment race reframe humanoids as th
Palmer Luckey's case for robotics is drawing attention alongside claims that ARK Invest's forecasts on the sector have been beaten and that China is racing ahead in embodied AI. The discussion frames humanoid robots not as single machines but as an interface, or API, for the physical world, combining hardware and software into one platform.
- 7Google Puts Gemini Robotics at Core of Software-First Robot Strategy▼Google's Robot Strategy: Software First, With Gemini Robotics at the Core
Google is pursuing a software-first approach to robotics, placing its Gemini Robotics model at the center of the strategy. The company is betting that advanced AI foundation models, rather than in-house hardware, will drive the next generation of capable robots. The move signals Google's intent to become a key platform provider for the robotics industry as competition in embodied AI intensifies.
- 8Robotics startup takes over massive sublease from Airbnb●Robotics startup takes massive sublease from Airbnb as physical AI race picks up steam
A robotics startup has taken a large sublease from Airbnb, according to a report by The Real Deal. The deal highlights growing demand for office space from companies working on physical AI, as the race to build embodied AI systems accelerates and robotics firms expand operations.
- 9Embodied AI must learn through mistakes to work in the real world●The implementation of embodied intelligence starts with making mistakes.
Commentary on embodied intelligence argues that putting AI into physical robots will inevitably begin with failures. The view holds that mistakes are a necessary stage of implementation, as robots interacting with the real world must learn from errors rather than be perfect from the start. Discussion centres on how robotics companies should accept early stumbles as part of deploying embodied AI systems.