Tomorrow, May 15, is the final day to submit pre-proposals for the Unconventional Grant.
Over the past several weeks, we’ve seen proposals spanning:
• computation as dynamics
• in-memory and in-physics compute
• architectures that minimize data movement
• new abstractions beyond linear algebra
Many converge on the same intuition: meaningful efficiency gains in AI will not come from scaling existing approaches alone, but from fundamentally different ways of representing and computing.
We are looking for technically grounded ideas that challenge assumptions across hardware, systems, and learning.
We’re not looking for taller ladders to the moon. We’re looking for rockets.
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