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AI Infrastructure · New GPU primitives below PyTorch enable novel data-efficient algorithms
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Data efficiency, not compute, is the binding constraint for economy-wide AI adoption
Compute scales homogeneously and exponentially cheaper, while data remains fragmented, regulated, and negotiation-heavy; achieving 1000x data efficiency would democratize AI development bey…
New GPU primitives below PyTorch enable novel data-efficient algorithms
Current frameworks like PyTorch express only a subset of GPU capabilities; by building a VM that takes full GPU control, Flappy unlocks fine-grained, pipelined, and hogwild-style training l…