For decades, academics and computer scientists have believed that the route to Artificial General Intelligence (AGI) – an AI that can outperform humans across most cognitive tasks – lies through building ever larger and more powerful models.
Generations of digital pioneers have followed a familiar trajectory: scale the model, increase the data, optimize the architecture, and add more test-time compute.
