I’m finishing up my PhD on tensor network algorithms at the University of Queensland, Australia, under Ian McCulloch. I’ve also proposed a new definition of wavefunction branches using quantum circuit complexity.
Predictably, I’m moving into AI safety work. See my post on graphical tensor notation for interpretability. I also attended the Machine Learning for Alignment Bootcamp in Berkeley in 2022, did a machine learning/ neuroscience internship in 2020/2021, and also wrote a post exploring the potential counterfactual impact of AI safety work.
My website: https://sites.google.com/view/jordantensor/
Contact me: jordantensor [at] gmail [dot] com Also see my CV, LinkedIn, or Twitter.
One small thing: When you first use the word “power”, I thought you were talking about energy use rather than computational power. Although you clarify in “A closer look at the NN anchor”, I would get the wrong impression if I just read the hypotheses:
Maybe change “power” to “computational power” there? I expect biological systems to be much more strongly selected to minimize energy use than TAI systems would be, but the same is not true for computational power.