https://www.solosoft.dev/tags/world-models/Recent content in World Models on SoloSoftHugoen-ushttps://www.solosoft.dev/trends/ami-labs-world-models-20260329/Mon, 01 Jan 0001 00:00:00 +0000https://www.solosoft.dev/trends/ami-labs-world-models-20260329/<p>When Yann LeCun — Turing Award winner, co-inventor of convolutional neural networks, and one of the most influential researchers in the history of AI — bets $1.03 billion against the dominant paradigm of the field he helped build, it is worth paying close attention. On March 10, 2026, AMI Labs officially launched with the largest seed round ever raised by a European startup, and a founding thesis that directly challenges the assumption powering every major AI lab in Silicon Valley: that <strong>large language models are the path to general intelligence</strong>.</p> <p>LeCun disagrees. He has said so publicly, repeatedly, and with increasing specificity. His argument is not that LLMs are useless — they have proven remarkably capable for language tasks — but that they are the wrong architecture for AI that needs to reason about and operate in the physical world. Text prediction, no matter how sophisticated, does not teach an AI how objects fall, how fluids behave, or how a robot should move through uncertain terrain.</p>