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Home / Technology / Yann LeCun Launches AI Startup AMI Labs

Yann LeCun Launches AI Startup AMI Labs

20 Dec

•

Summary

  • Yann LeCun, Turing Award winner, launched Advanced Machine Intelligence (AMI) Labs.
  • AMI Labs is reportedly seeking €500 million in funding at a €3 billion valuation.
  • The startup will focus on 'world model AI' as an alternative to LLMs.
Yann LeCun Launches AI Startup AMI Labs

Renowned AI scientist Yann LeCun confirmed the launch of his new venture, Advanced Machine Intelligence (AMI) Labs, on Thursday. LeCun, a Turing Award recipient, will take on the role of Executive Chairman, while Alex LeBrun, formerly CEO of Nabla, has been appointed as the new company's CEO. This move marks a significant development in the AI landscape.

AMI Labs is reportedly initiating its fundraising efforts with an ambitious target of €500 million, aiming for a valuation of €3 billion even before its official launch. This aggressive financial goal places it alongside other high-profile AI startups founded by leading figures in the field. The company's core focus will be on developing 'world model AI,' a novel approach intended to address the 'hallucination' issues prevalent in current large language models (LLMs).

This new focus on world models positions AMI Labs in a competitive space, with major players like Google DeepMind also pursuing similar technologies. The startup's substantial fundraising aspirations reflect the intense investor interest in cutting-edge AI innovation. Meanwhile, Nabla, where LeBrun previously served as CEO, has entered into a partnership to utilize AMI's developing models.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
Yann LeCun's new startup is called Advanced Machine Intelligence (AMI) Labs, focusing on 'world model AI'.
AMI Labs is reportedly seeking €500 million in funding at a €3 billion valuation.
World model AI is an alternative approach to LLMs that aims to simulate cause-and-effect and predict outcomes by understanding its environment.

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