Meta's Chief AI Scientist Yann LeCun recently challenged a prevailing assumption in the AI field: the path to achieving human-level artificial intelligence won't come through text-based approaches alone. His stance questions whether current language model trajectories can actually bridge the gap to genuine AGI. It's a thought-provoking take from someone at the forefront of AI research, suggesting the industry may need fundamentally different architectures or methodologies beyond what we're seeing in today's LLM boom.