Ritwik Gupta
@ritwikgupta.bsky.social
Assistant Professor at the University of Maryland, College Park | AI for Chaotic Environments and the Dual-Use Governance of AI
Optional Practical Training (OPT) allows international students to work after completing their degrees. A proposed policy would add a $100,000 for OPT status. Using SEVIS data, I analyze how this could impact the American talent pool ritwikgupta.me/blog/posts/2...
What If OPT Cost $100,000?
How a proposed $100,000 OPT fee could reshape the talent America has already welcomed and trained.
ritwikgupta.me
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
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.
Lawfare@lawfaremedia.org · 2y ago@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.
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.
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.
