Charles Macfarlane

“I admire NVIDIA’s approach. They provide users with tools and allow them to program as they wish. This approach is more successful because it allows for adaptability. Despite the progress made by companies like Cerebras, Graphcore, and others, I believe too much time and effort is spent on developing prototypes of networks, rather than on creating tools that would allow users to do this work themselves. Even now, I see companies building accelerators for the Transformer architecture. I would advise these companies to rethink their approach. They should aim for flexibility, ensuring that their architecture can accommodate changes. For instance, if we were to revert to recurrent nets in two years, their architecture should still be programmable.”