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AMI Labs CEO avoids AGI, superintelligence labels for AI

Created at 16 Jul · 3:21 PM1 source↑ Market-relevant
IN SHORT

Alexandre LeBrun, CEO of AMI Labs, is deliberately avoiding terms like 'AGI' and 'superintelligence' for his company's AI, emphasizing the need for practical, context-aware systems. He believes world models, which predict real-world states, are crucial for advancing robotics and other industries.

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Key Numbers

$1.03 billionAMI Labs funding raised in March
$3.5 billionAMI Labs pre-money valuation
1%Healthcare coverage by LLMs, according to LeBrun
25 years agoKorea's fastest adoption of the internet
$880 billionSeoul's plan for chips, AI data centers, and physical AI

Who's Involved

Alexandre LeBrun
CEO of AMI Labs, avoiding AGI/superintelligence labels
Yann LeCun
Co-founder of AMI Labs and Turing Award winner
AMI Labs
AI startup developing world models
JP Lee
CEO of SBVA and AMI Labs backer
AMI Labs CEO avoids AGI, superintelligence labels for AI

↳ Why This Matters

LeBrun's stance challenges the prevailing hype around AGI and superintelligence, focusing instead on practical applications of AI in the physical world. This approach could shape the development of more robust and safe robotics and AI systems, particularly in industries like manufacturing and healthcare.

Key facts

  • AMI Labs CEO Alexandre LeBrun stated the company avoids calling its AI 'AGI' or 'superintelligence'.
  • LeBrun believes current AI is 'really dumb in the physical world' and robots are 'not safe'.
  • AMI Labs is developing 'world models' that predict real-world states, complementing LLMs.
  • The company is seeking partners in robotics, manufacturing, and electronics, with a focus on Asia.
  • AMI Labs raised $1.03 billion in March at a $3.5 billion pre-money valuation.

Alexandre LeBrun, CEO of AI startup AMI Labs, is deliberately sidestepping the industry trend of labeling artificial intelligence as 'AGI' or 'superintelligence.' In an interview with TechCrunch, LeBrun stated that his company does not use these terms, finding them ill-defined and unhelpful. He emphasized that AMI Labs is focused on developing 'world models' that incorporate physics to predict and interact with the real world, aiming to address the current limitations of AI in physical environments.

LeBrun explained that while Large Language Models (LLMs) excel at predicting text, world models are designed to predict the next state of the physical world. He sees these two types of AI as complementary, with LLMs handling language and world models providing crucial real-world context and understanding. This distinction is particularly relevant for advancing robotics, where current systems are described as 'static' and 'really dumb' in physical settings.

AMI Labs, which is still pre-product, is actively seeking partnerships in robotics, manufacturing, and electronics. LeBrun highlighted Asia, particularly South Korea, as a strategic focus due to its advanced industrial base in these hardware-heavy sectors and its history of rapid technology adoption. He noted that Korea's government is investing heavily in AI, including physical AI, which aligns with AMI Labs' goals.

The startup, co-founded by Turing Award winner Yann LeCun, has already secured significant funding, raising $1.03 billion in March at a $3.5 billion pre-money valuation, despite not yet having a product on the market.

Frequently asked questions

A world model is an AI system designed to predict the next state of the real world, incorporating physics to understand and interact with physical environments. This contrasts with Large Language Models (LLMs), which predict the next word or text.

AMI Labs is seeking partners in robotics, manufacturing, and electronics, and sees Asia, particularly South Korea, as having advanced industries in these areas and a track record of rapid technology adoption.

AMI Labs is a pre-product startup that has raised $1.03 billion in funding. They are actively seeking industrial partners to develop and test their world models in real-world applications.

What Happens Next

01AMI Labs plans to announce a product when ready.
02The company is scouting for industrial partners in South Korea.

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Cadence

How It Developed

Alexandre LeBrun, CEO of AMI Labs, stated the company does not use terms like 'AGI' or 'superintelligence'.
LeBrun expressed skepticism about the definitions and usefulness of 'AGI' and 'superintelligence'.
AMI Labs is developing world models that incorporate physics to predict and interact with the real world.
LeBrun highlighted the current limitations of AI in physical environments, noting robots are 'really dumb' and 'not safe'.
He explained that world models predict the next state, complementing Large Language Models (LLMs) which predict the next word.
AMI Labs is seeking industrial partners in robotics, manufacturing, and electronics, particularly in Asia.
LeBrun cited South Korea's advanced industries and rapid adoption of new technologies as key attractions.
JP Lee, CEO of SBVA, encouraged AMI Labs' expansion into Korea, advocating for investment in physical AI alongside LLMs.

Sources

T1
Why AMI Labs’ Alexandre LeBrun won’t call his AI ‘AGI’ or ‘superintelligence’TechCrunch

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