Ritwik Gupta
ritwikgupta.bsky.social
Ritwik Gupta
@ritwikgupta.bsky.social
Ph.D. Student at Berkeley AI Research | AI for Chaotic Environments and the Dual-Use Governance of AI
Do LLMs understand probability distributions? Can they serve as effective simulators of probability? No!
However, in our latest paper that via in-context learning, LLMs update their broken priors in a manner akin to Bayseian updating.

📝 arxiv.org/abs/2503.04722
Enough Coin Flips Can Make LLMs Act Bayesian
Large language models (LLMs) exhibit the ability to generalize given few-shot examples in their input prompt, an emergent capability known as in-context learning (ICL). We investigate whether LLMs uti...
arxiv.org
March 10, 2025 at 5:32 PM
Reposted by Ritwik Gupta
Seminar with @ritwikgupta.bsky.social coming up! Learn more here: www.cs.jhu.edu/event/cs-sem...
February 11, 2025 at 3:00 PM
Recent proposals to kill the influence of “Chinese AI” in America will have devastating knock-on effects to American innovation. In this article, I discuss the statelessness of AI and the overly broad nature of Senator Hawley’s proposed legislation.
@ritwikgupta.bsky.social and @areddie.bsky.social explain what is in Senator Hawley's new AI bill aimed to stop collaboration of AI tech between the U.S. and China and why it will stifle American AI progress and innovation.
The Hawley Act Threatens AI Innovation
Senator Hawley’s new bill seeks to cut U.S. AI ties with China but risks stifling innovation and hurting U.S. technical dominance instead.
www.lawfaremedia.org
February 10, 2025 at 4:32 PM
It is a false premise that America has a lead in AI over China. So many articles have come out recently about DeepSeek threatening our lead. The lead in *meaningful* capabilities has never existed.
January 24, 2025 at 7:23 PM
The narrative that we have achieved peak data is so absurd to me. Humans are still around. New data is constantly being created. We just have to be more efficient about using it.
December 15, 2024 at 2:55 AM