Can you explain more? Why would that be the case? What is being passed from one layer to the next is not a linear value but the delay until the next spike, which is very different.

Well, it would still allow to deploy the trained model to SNN hardware, if it existed.

The 'brain-inspired' community has always been doing this, since Carver Mead introduced the term 'neuromorphic' in the late 1980s. Reselling banalities as a new great insight. My favourite is "Neuromorphic computing breakthrough could enable blockchain on Mars" [1]. What else can they do? After all, That community has now multiple decades of failure under it's belt. Not a single success. Failure to make progress in AI and failure to say anything in interest about the brain. To paraphrase a US president: In this world nothing can be said to be certain, except death, taxes and neuromphicists exaggerating. (Aside: I was told by someone who applied to YC with a 'neuromorphic' startup that YC said, they don't fund 'neuromorphic'. I am not sure about details ...). The whole 'brain talk' malarkey goes back way longer. In particular psychology and related subjects, since their origins as a specialty in the 19th century, have heavily used brain-inspired metaphors that were intended to mislead. Already in the 19th century that was criticised. See [3] for an interesting discussion.

There is something interesting in this post, namely that it's based on non-Nvidia GPUs, in this case MetaX [2]. I don't know how competitive MetaX are today, but I would not bet against China in the longer term.

[1] https://cointelegraph.com/news/neuromorphic-computing-breakt...

[2] https://en.wikipedia.org/wiki/MetaX

[3] K. S. Kendler, A history of metaphorical brain talk in psychiatry. https://www.nature.com/articles/s41380-025-03053-6