Why AMI Labs' Alexandre LeBrun won't call his AI 'AGI' or 'superintelligence'
While everyone in AI is chasing "superintelligence," Alexandre LeBrun, CEO of Yann LeCun's world model startup, AMI Labs, dismisses the word. While the rest of the AI industry races to label its work as "AGI" or "superintelligence," Alexandre LeBrun, the CEO of Yann LeCun's world model startup, AMI Labs, avoids the terms altogether. Lebrun said in an interview with TechCrunch that the company doesn't use terms like "AGI" or "superintelligence" at all.
Key Takeaways
- And I just noticed that nobody is using it anymore; they switched to superintelligence," he said.
- For now, robots are just running fixed routines, "completely static," and AI remains "really dumb in the physical world," LeBrun said.
Even when AI can merely make robots "aware of the context" that would mark "a very big difference for the world.
- Drawing a parallel to the human brain's distinct language and reasoning functions, he added that LLMs will remain the most efficient tools for processing language while world models will provide context and real-world understanding.
Almost every industry that "touches the real world" could eventually make use of robotics based on world models, LeBrun said, arguing that physical environments remain where LLMs are weakest.
- He likened today's AI systems to a doctor trained only on textbooks and without a residency.
LLMs may be useful in medicine, he said, but they cover "only 1% of healthcare.
- But the pull toward South Korea comes down to two things.
" It's a pointed stance from a founder sitting at the center of AI's newest race. TechCrunch talked to LeBrun while he was in Seoul last week for The International Conference on Machine Learning, where he was scouting for local industrial partners, global companies, and researchers. AMI Labs is still pre-product, but it's already courting robotics, manufacturing, and electronics players.
A world model, which incorporates physics to predict and work with the real world, needs to prove itself outside the lab, LeBrun explained. One area where world models are expected to have a large impact is robotics. For now, robots are just running fixed routines, "completely static," and AI remains "really dumb in the physical world," LeBrun said.
Even when AI can merely make robots "aware of the context" that would mark "a very big difference for the world. " Such context-aware AI would have been useful, for example, in preventing a robot that was dancing and doing kung fu at a public event from approaching and kicking a child. "The hardware is very advanced; progress in hardware in the last few months is incredible, but there's no brain.
For more details please read the original article at TechCrunch AI.
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