Reasoning Doesn't Start With Language

Visual reasoning remains a significant hurdle for current frontier models, which often fail at basic tasks like counting objects or navigating spatial constraints despite their massive scale. Andrew Dai, CEO of Elorian AI, argues that reasoning originates from the visual world rather than language, necessitating specialized architectures and data-centric approaches rather than simple scaling. While current models excel at generation, they lack the deep understanding required for complex professional domains like mechanical engineering and CAD design. By focusing on visual chain-of-thought and specialized post-training, Elorian AI aims to bridge this gap, enabling AI to perform precise, real-world design edits. This shift toward visual intelligence promises to transform industries by allowing non-specialists to interact with complex design software through natural language, ultimately moving beyond the limitations of text-based reasoning models.