Neural networks with trillions of parameters are incredibly resilient to noise and bit flips

https://video.wixstatic.com/video/8c5863_f7d62840ee8c49498e5d427d7cacf689/1080p/mp4/file.mp4

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.