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Meta Platforms (NASDAQ:META) released a new artificial intelligence model, V-JEPA 2, which allows agents to better understand and predict cause and effect in the physical world to achieve advanced machine intelligence, or AMI.
AMI refers to AI systems capable of going beyond routine automation and machine learning. AMI incorporates reasoning, problem-solving and knowledge to determine outcomes and make independent decisions.
“These capabilities are essential to building AI agents that can think before they act, and V-JEPA 2 represents meaningful progress toward our ultimate goal of developing advanced machine intelligence,” Meta said.
“The models we use to develop this kind of intelligence in machines are called world models, and they enable three essential capabilities: understanding, predicting and planning,” the company said.
Meta trained V-JEPA 2 using video, which helps the model understand how objects behave in the physical world. It is built on V-JEPA, which Meta released last year.
“V-JEPA 2 improves understanding and predicting, enabling robots to interact with unfamiliar objects and environments to complete a task,” Meta said.
Meta also released three new benchmarks today, to help researchers evaluate how well their models learn and reason via videos.
“By sharing this work, we aim to give researchers and developers access to the best models and benchmarks to help accelerate research and progress – ultimately leading to better and more capable AI systems that will help enhance people’s lives,” the company said.
Meta, along with other Magnificent Seven powers, have invested in technology to develop humanoid robots. Tesla (TSLA) is developing its Optimus humanoid robot program. CEO Elon Musk said he intends to send robots on a mission to Mars by the end of next year. Nvidia (NVDA) CEO Jensen Huang recently said we are only a few years away from humanoid robots “wandering around.”
Another U.S.-based player is Brett Adcock’s Figure AI, which is backed by Microsoft (MSFT) and OpenAI. The company’s bots are geared toward manual labor tasks like logistics and warehousing, and have already been deployed in BMW (OTC:BMWKY) factories.
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