Neural networks with trillions of parameters are incredibly resilient to noise and bit flips
Neural networks with trillions of parameters are incredibly resilient to noise and bit flips because they already operate through massive probabilistic redundancy. A phone today can already do what supercomputers could not do long ago, and tomorrow it will surpass what today’s supercomputers are capable of. The phone is no longer just a mobile device — it is becoming a distributed supercomputer with a battery, where video, audio, interaction, and entire environments collapse into real-time generation pipelines. Real-time pixels are no longer exclusive to giant datacenters; they are now emerging directly inside your pocket. This is not simply optimization — it is the diffusion of computational power itself, and as AI workloads increasingly shift toward real-time video understanding and generation, diffusion-based systems may ultimately become the dominant computing paradigm.
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