While much of the AI industry is eager to brand its work as 'AGI' or 'superintelligence', Alexandre LeBrun, CEO of AMI Labs, maintains his team eschews such terms. Instead, he focuses on practical applications like world models that can predict real-world outcomes, hoping to transform industries from manufacturing to healthcare.

LeBrun argues that despite the hardware advancements and large language models (LLMs), the physical world remains a challenge for AI. His company is looking towards Asia, particularly South Korea, for its advanced robotics and willingness to embrace new technologies quickly.

The CEO sees AMI's work as complementary to LLMs, with world models providing crucial context that current AI systems lack. He envisions a future where robots can navigate complex environments safely and intelligently, revolutionizing everything from factories to hospitals.

For now, while AMI has secured significant funding, the startup remains pre-productive, focusing on partnership building rather than product development. LeBrun's cautious approach may signal a shift in how we think about AI's future, from grand labels to practical solutions.