[the__alchemist]

After skimming the article, go back to the beginning, and ponder the opening stanza:

> We are very excited to finally share more about what Extropic is building: a full-stack hardware platform to harness matter's natural fluctuations as a computational resource for Generative AI.

This is New Age, dressed up with the latest fashion.

[spiantino]

So exciting! We'd be walking amongst our GAI brethren this very day if it weren't for the computational limits of those pesky RNGs!

[pclmulqdq]

I can sell you a solution to that in AWS/Azure (or on prem) today if you really want to use a TRNG for your ML training :)

They are very energy efficient (measured in pJ/bit), but non-cryptographic PRNGs, which are typical for ML, are far more efficient.

It's not obviously wrong to think that AI algorithms will pick up bias from "overfitting" to their PRNGs used during training, but I'm not expecting the benefits to be very large.

[pclmulqdq]

As far as I can tell, as someone with relevant hardware expertise, this is a quantum machine learning startup.