Adam Klein

The deep learning era has been driven by massive parallelism. However, some tasks cannot be reduced to a few parallel steps, and the field must recognize that to reach its lofty potential.

The capabilities and limitations of LLMs are hotly debated. I argue that even simple text-generating models are capable of more than you think (if you just give them enough time).