The world’s top artificial intelligence groups are stepping up their focus on so-called world models that can better understand human environments, in the search for new ways to achieve machine “superintelligence.”
Google DeepMind, Meta, and Nvidia are among the companies attempting to gain ground in the AI race by developing systems that aim to navigate the physical world by learning from videos and robotic data rather than just language.
This push comes as questions rise about whether large language models—the technology that powers popular chatbots such as OpenAI’s ChatGPT—are reaching a ceiling in their progress. The leaps in performance between LLMs released by companies across the sector, such as OpenAI, Google, and Elon Musk’s xAI, have been slowing, despite the vast sums invested in their development.
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