[Alignment of systems built out of AIs] is to [AI alignment], what [good governance] is to [raising an ethical human].

Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish to those for which training diverges. Even better, a video: vimeo.com/903855670

The “principle of indifference” is often presented as an intuitively obvious motivation for specifying “non-informative” prior models. Unfortunately that intuition quickly falls apart in many common applications.  A long thread about applied probability theory!

I'm running an experiment, and holding some public office hours (inspired by Kyunghyun Cho doing something similar). Talk with me about anything! Ask for advice on your research or startup or career or I suppose personal life, brainstorm new research ideas, complain about mistakes I've made, ...

Levels of AGI: Operationalizing Progress on the Path to AGI Levels of Autonomous Driving are extremely useful, for communicating capabilities, setting regulation, and defining goals in self driving. We propose analogous Levels of *AGI*. (ChatGPT is a Level 1 "Emerging" AGI)

AI has the power to change the world in both wonderful and terrible ways. If we exercise care, the wonderful outcomes will be much more likely than the terrible ones. Towards that end, here is a brain dump of my thoughts about how AI might go wrong. sohl-dickstein.github.io/2023/09/10/d...