Bỏ qua đến nội dung chính
Back to home
AI Robotics Tech 2 min read

Why AMI Labs' CEO refuses to call his AI 'AGI' or 'superintelligence'

Alexandre LeBrun, CEO of Yann LeCun's world model startup AMI Labs, rejects terms like AGI or superintelligence, calling them ill-defined and useless.

Tier 1 · sources 83% confidence Auto-priority
Sources techcrunch.com

While the rest of the AI industry races to label its work as "AGI" or "superintelligence," Alexandre LeBrun, the CEO of AMI Labs—the world model startup co-founded by Yann LeCun—strictly avoids these terms. Speaking in an interview with TechCrunch in Seoul in July 2026, LeBrun stated that his company does not use these vague concepts because they lack any useful or concrete definition for real-world technology development.

Detailed Developments

AMI Labs is currently pre-product but is actively seeking industrial partners, global corporations, and researchers in robotics, manufacturing, and electronics. Alexandre LeBrun's trip to South Korea aimed to access one of the world's most advanced hardware and manufacturing markets. According to TechCrunch, AMI Labs wants to take world models out of the lab to test them in real environments, where current robotic systems still run on fixed routines and completely lack context awareness.

Technical & Technology Analysis

Unlike Large Language Models (LLMs) that predict the next word or text, a world model is designed to predict the next state of the environment by incorporating physical laws. LeBrun explained this using a physical intuition: if you nudge a glass off a table, you know it will tip and spill; that is the intuition a world model aims to capture. He emphasized that world models are not meant to replace LLMs; rather, the two technologies are complementary, mimicking the distinct language and reasoning functions of the human brain.

Expert Opinions & Insights

JP Lee, CEO of SBVA and one of AMI Labs' backers in Asia, noted that South Korea is an ideal destination thanks to its national plan to mobilize around $880 billion for semiconductors, AI data centers, and physical AI. According to Lee, while the South Korean government has done a tremendous job funding local sovereign LLMs, the country must continue to invest heavily in physical AI. The rapid adoption rate of local developers also acts as a major advantage for foreign startups like AMI Labs looking for partnerships.

Impact & Future Outlook

Despite boasting star power and raising a massive $1.03 billion in March 2026 at a $3.5 billion pre-money valuation, AMI Labs has not committed to any product release timeline. For tech enthusiasts, AMI Labs' pragmatic direction highlights a shift from pure chatbots to intelligent robots capable of operating safely in the physical world. This transition will be a crucial milestone driving the next generation of manufacturing and automation industries.