Abhimanyu Pallavi Sudhir

Research

PhD student @ University of Warwick

• CV: relevant, extended, html (autogenerated by Pandoc)
• Blogs: The Winding Number, Copypasta
• Profiles: LessWrong, Stack Exchange, Twitter
• Also profiles: LinkedIn, GScholar, ORCID

I’m interested in stuff at the intersection of markets and AI.

Stuff I’ve done:

[NOW]: doing now; [SUP]: maintaining/supporting; [...]: archived.

• [NOW] Reinforcement Learning from Recursive Information Market Feedback
• [NOW] 7f1de4ce0aea3d445afb288f15e58243f0c54038
• [SUP] 72fd5a01a4248d40394bb13dce64ccc1a9fd7142
• [SUP] costly, a Python package for automatically estimating costs of complex LLM workflows before you run them
• [NOW] Prediction markets for non-verifiable non-falsifiable sentences
• [NOW] b1d917de991507892970d8286218dc13fe519d6f
• [...] other random stuff on my CV (see above)

Deferred due to lack of time:

• Prediction markets for latent space variables or “subjective” questions somehow
• Anthropic alignment, i.e. the ``just make AI situationally unaware’’ approach which I think people have given up on too early

Deferred due to lack of urgency:

Other stuff I’m interested in but are currently somewhat low-priority because AGI is going to be a thing soon.

• Reformulating probability theory in terms of closed-under-_computable_-union sigma-algebras
• Market dynamics and bounded rationality
• Property rights theory, transaction costs, information asymmetry and thermodynamics
• Ways to better measure GDP, or better: Objective Utility
• My very sensible grammar concept

Stuff I don’t know but would like to:

• Cryptography and cryptostuff
• Macroeconomics – money, interest rates, debt, inflation
• Quantum information/probability/computing theory (should finish writing my quantum mechanics article series at some point)
• List of things in math I have learned but not really understood