[pclmulqdq]

I make a better RNG right now (https://arbitrand.com).

We experimented with doing ML training with it, but it's not clear that it trains any better than a non-broken PRNG. It might be fun to feed the output into stable diffusion and see how cool the pictures are, though.

[winwang]

Cloud RNG number streaming is interesting but costly, no? I did have the idea to serve truly random numbers via a quantum computer (trivial by just preparing the simplest state and measuring). Anything else can't be said to be truly random.

[pclmulqdq]

You don't need a quantum computer to sample noise from quantum processes.

It's a prohibitively expensive way to go, and depending on how you built the quantum computer, it may be more susceptible to interference and non-quantum noise than using good circuits and custom systems.

[winwang]

Oh sure, it was more of a joke app idea, or in another sense, for those who want philosophically "perfect" randomness. After all, assuming a single bit sample, anything but a hadamard state has nonoptimal entropy. Of course, it makes almost no sense to sample a bit at a time since we want pragmatism. But having a virtual coin flip essentially "create" a new, nonexistent bit of information in the universe -- that's funny (well, assuming certain interpretations of QM).

[zX41ZdbW]

The website has a picture https://arbitrand.com/fpga.png but it is difficult to understand what it represents. Needs clarification.

[typon]

That looks like the placement of their circuit on the FPGA. Like a screenshot from ChipPlanner in Quartus