Simple recipes be like

All I see is SeqSalt

There are pockets of other stuff. ALT/COLT crowd seem to be content continuing to prove/improve bounds. Causal inference with ML is a bit of a thing (although likely pretending/promising to be AI for science for the money).

Getting the zucchini right seems to be a nontrivial dependency of this

How is this not against the code of conduct?

We explain in the supplementary material the process we ran internally (no IRB) There is a nice independent reaction article published in the same issue of PNAS about the ethics of these experiments: www.pnas.org/doi/10.1073/...

Take for example the “time to first head” (TTFH) function whose input is a pseudorandom coin flip sequence. This function’s output (pseudogeometric) will be super sensitive to the random seed. Many machine learning experiments behave a lot more like TTFH than empirical averages.

Problem is, empirical averages is not how pseudorandom are used. For example: Pseudorandom sequence is used to generate a permutation for stochastic optimisation, or to simulate random moves in a sequential game like chess. The whole trajectory depends critically on what happens at the beginning.

I can certainly imagine causing harm with all of these.

But then by this logic Microsoft Teams and JavaScript should also be on the list🤷🏽

I’m curious what should/could they have done which in hindsight would have worked?

This seems to assume NGOs in those countries actually developed any productive counterstrategies or actionable insights. My impression in Hungary is that they pretty much barely hold on. I’m not sure what there is to learn other than getting a preview of what’s coming.

@nsaphra.bsky.social thank you f or your service, keep up the good work