Aidan N. Gomez

A foundational figure in modern sequence modeling whose work on the Transformer changed the technical direction of language and multimodal systems.

A foundational transformer co-author who is now worth following for a very different reason: he is one of the few people trying to build a serious frontier lab around alternatives to the default scaling path.

A foundational transformer researcher whose work still matters because it connects the original architecture shift to later efforts on efficiency, scaling, and sequence modeling infrastructure.

A high-signal person to follow for the research arc from early transformer work into later sequence, vision, and multimodal model design.

One of the clearest people to study if you want the throughline from early neural sequence models to transformers, efficient long-context variants, and modern reasoning systems.

Important both as a transformer coauthor and as one of the clearest examples of a researcher who took core sequence-model work into a broader platform-building role.