Lauren Greenspan

Jan 17, 2025 | lesswrong.com | Lauren Greenspan |Dmitry Vaintrob

In a previous post, Lauren offered a take on why a physics way of thinking is so successful at understanding AI systems. In this post, we look in more detail at the potential of Quantum field theory (QFT) to be expanded into a more comprehensive framework for this purpose. Interest in this area has been steadily increasing, but efforts have yet to condense into a larger-scale, coordinated effort.

Jan 14, 2025 | lesswrong.com | Lauren Greenspan

Context: This is part of a series of posts I am writing with Dmitry Vaintrob, as we aim to unpack some potential value from Quantum Field Theory (QFT). Consider this post as framing why physics and its frameworks can be good for building a science of AI.

Jan 6, 2025 | lesswrong.com | Lauren Greenspan

Epistemic Status: This post is an attempt to condense some ideas I've been thinking about for quite some time. I took some care grounding the main body of the text, but some parts (particularly the appendix) are pretty off the cuff, and should be treated as such. The magnitude and scope of the problems related to AI safety have led to an increasingly public discussion about how to address them.

Oct 31, 2024 | lesswrong.com | Lucas Teixeira |Lauren Greenspan |Dmitry Vaintrob |Eric Winsor

AI safety is a young science. In its early history, deep and speculative questions regarding the risks of artificial superintelligence attracted the attention of basic science and philosophy, but the near-horizon focus of industry and governance, coupled with shorter safety timelines, means that applied science is now taking a bigger hand in the field’s future.