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Yann LeCun's AMI Labs Raises $1bn+ to Build AI That Understands the Physical World

By

SendTech Times AI & Enterprise Desk

1d ago· 4 min readenNews

Summary

Yann LeCun, former Meta chief AI scientist, has launched Advanced Machine Intelligence Labs (AMI Labs) in Paris with a $1bn+ seed round — one of Europe's largest early-stage startup financings — backed by Nvidia and Jeff Bezos' investment fund. The company aims to move AI beyond large language models toward systems that can reason about the physical world, developing an architecture called JEPA (Joint Embedding Predictive Architecture). LeCun argues LLMs cannot achieve human-like or animal-like intelligence because they cannot process real-world data. The startup has not yet named its first industrial customers or deployment contracts.

Source

Twitter / XYann LeCun's AMI Labs Raises $1bn+ to Build AI That Understands the Physical Worldstechtimes.com

Key quotes

· 3 pulled
Large language models are not a path to human-like or animal-like intelligence because they cannot deal with real-world data.
AMI Labs raised more than $1bn earlier this year in a seed round backed by investors including Nvidia and the fund that manages Jeff Bezos' private wealth.
The round was described as one of Europe's biggest early-stage startup financings.
Snippet from the RSS feed
Yann LeCun told BBC that large language models are not a path to human-like or animal-like intelligence because they cannot deal with real-world data. His Paris-based AMI Labs has raised more than $1bn and is developing JEPA, but it has not named first in

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