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Apple could consider a distributed or mesh AI processing system.

there are companies who are building services on top of IPUs.can we change peoples hearts and minds.

referring to non-deterministic polynomial time.  I think thats the challenge we have as a business.It seems as if people just want more and more Nvidia.

two extensions to PyTorch that are ported to Poplar and the Graphcore IPU chips.the combination of Poplar and the IPU design is delivering measurable superiority in particular cases where it can be applied thoughtfully.

rather than large amounts of re-training on all data.

so why did they build it?That is Toons chance to riff on Nvidias CUDA software.Perceivers cannot be used directly for autoregressive generation.

Also: DeepMinds Gato is mediocre.Perceiver AR scales to 65k context length.

and the latent representation. Also: Googles Supermodel: DeepMind Perceiver is a step on the road to an AI machine that could process anything and everythingThe Transformer.