{"slug": "can-open-source-robotics-win-the-physical-agi-race", "title": "Can open-source robotics win the physical AGI race?", "summary": "Luma, a video AI startup, announced the Open Physical AI Lab last week, an open-source initiative to develop generalized robots capable of performing human-like tasks. CEO Amit Jain warned that centralizing control of physical AI among a few companies risks creating a future where the means of production are not democratized. The announcement comes as Nvidia-backed Generalist raised $400 million and other startups attract billions, intensifying the race to build physical artificial general intelligence.", "body_md": "The robotics industry has a specific dream with far-reaching consequences: a robot brain that can do anything a human asks it to.\n\nIt's the driving force behind Generalist, a company with a goal of creating \"physical AGI\" that's useful to anyone. Last week, the Nvidia-backed startup announced a [$400 million funding round](https://generalistai.com/blog/accelerating-the-next-phase-of-physical-ai), bringing its valuation to $2 billion. The startup joins the likes of [Physical Intelligence](https://techfundingnews.com/physical-intelligence-1b-raise-11b-valuation-founders-fund-lightspeed/), [Rhoda AI](https://www.businesswire.com/news/home/20260310715139/en/Rhoda-AI-Exits-Stealth-with-%24450-Million-Series-A-to-Bring-Robots-Out-of-the-Lab-and-Into-the-Real-World), and [Skild AI](https://www.skild.ai/blogs/series-c) in attracting high-profile investors to the ambitious mission of creating robots capable of learning tasks like humans.\n\nBut one startup may want to change the nature of this race, shifting the work from competition to collaboration. Luma, a video AI and world model startup aimed at creating \"multimodal AGI,\" last week announced the Open Physical AI Lab, a collaborative initiative aimed at solving generalization to \"maximally benefit all of humanity,\" CEO Amit Jain [said in a post on X](https://x.com/gravicle/status/2061476460217737294).\n\nLuma and other startups are deeply focused on solving this because the scale of generalized robots could be massive. In an interview, Jain told The Deep View that if generalization is achieved and robots are capable of operating alongside humans at work, in businesses and at home, \"they're going to become the means of production.\"\n\nBut generalization is an incredibly hard problem to solve, and a lot stands in the way of achieving it. One of the most notable challenges is the [massive gap in real-world data](https://www.thedeepview.com/articles/the-race-to-give-ai-a-body) needed to train robotics models to interact with the real world. Additionally, these models require far more compute than conventional language models.\n\nOpening this research to a wider audience could accelerate innovation and close those gaps more quickly. And without pooling resources, \"robotics and generalization cannot be solved,\" Jain told The Deep View.\n\nHowever, Jain said there may be a greater risk of this work being siloed within individual companies. The race to generalization in physical AI mirrors that of the race to build AGI at Google, OpenAI, and Anthropic. If the work isn't done in an open-source manner, Jain said, the industry risks the centralization of this technology.\n\nAnd if these robots reach the potential the industry is expecting, \"There is no situation where we imagine a future where the means of production are controlled by one or two or three companies,\" said Jain. \"Groups and institutions and nations should be in control of means of production.\"\n\n## Our Deeper *View*\n\nIt's clear that physical AI is one of the tech industry's next frontiers, with the starry-eyed goal of creating generalized robots that can perform whatever human-like tasks we ask them to. It's why these young startups are notching billion-dollar valuations from major investors. It's also why OpenAI has taken an interest in robotics, seeking to [recruit engineers](https://x.com/sama/status/2061117302528188712) to its own robotics division. However, Jain's warning is also clear: Centralizing power in robotic generalization could be as risky, if not riskier, than concentrating powerful AI [in the hands of too few companies](https://archive.thedeepview.com/p/ai-s-utopian-promise-masks-a-race-for-power). And while OpenAI's Sam Altman and Greg Brockman have both recently called for the [democratization of the technology](https://www.thedeepview.com/articles/altman-reframes-who-controls-ai-s-future), with a major OpenAI IPO on the horizon and so much money on the line, it's important that governments, institutions and the global community continue to hold these companies to the promise that this technology be developed in a way that will broadly benefit humanity.", "url": "https://wpnews.pro/news/can-open-source-robotics-win-the-physical-agi-race", "canonical_source": "https://www.thedeepview.com/articles/can-open-source-robotics-win-the-physical-agi-race", "published_at": "2026-06-07 18:59:51+00:00", "updated_at": "2026-06-11 18:15:39.957888+00:00", "lang": "en", "topics": ["artificial-intelligence", "robotics", "ai-startups", "ai-research"], "entities": ["Generalist", "Physical Intelligence", "Rhoda AI", "Skild AI", "Luma", "Amit Jain", "Nvidia"], "alternates": {"html": "https://wpnews.pro/news/can-open-source-robotics-win-the-physical-agi-race", "markdown": "https://wpnews.pro/news/can-open-source-robotics-win-the-physical-agi-race.md", "text": "https://wpnews.pro/news/can-open-source-robotics-win-the-physical-agi-race.txt", "jsonld": "https://wpnews.pro/news/can-open-source-robotics-win-the-physical-agi-race.jsonld"}}