Today, I’m excited to join Andreessen Horowitz as a General Partner and Head of Global Affairs. This is my next chapter in the mission of securing America at home and ensuring technological innovations are adopted to keep us safe, working together with our allies to build a more secure and prosperous future. Today, as the U.S. and China compete on the global stage, the spread of technology is tinged with geopolitics and more fragmented. Security now requires a focus on digital sovereignty, supply chain resiliency, and the trustworthiness of the infrastructure underpinning our economies and our national security. My full announcement: a16z.news/p/technology-is-se…

a bit late of a notice but happy to share a paper i've been cooking up with @lrvarshney was accepted to the #ICML2026 Second Workshop on Agents in the Wild! we've been working on AI safety guarantees independent of alignment (arxiv link in comments).

Are human creativity tests actually good predictors of creativity for large language models? These tests are now widely applied to assess how “creative” large language models are, but their validity as measures of *machine* creativity has never actually been established. Our new paper studies this question in detail: 💡We ran a large-scale study correlating LLM performance on human creativity tests with creative writing, divergent thinking, and scientific ideation benchmarks. Main findings: ✍️ The Divergent Association Test (“name 10 words as different from each other as possible”) is the best predictor of creative writing ability. 💭The Conditional Divergent Association Test (“name 10 words as different from each other as possible, while staying relevant to a given cue word”) is the best predictor of divergent thinking 🚫 However, no single test predicts all three aspects (creative writing, divergent thinking, scientific ideation) well 🚫 Moreover, and contrary to popular belief, none of the tests is a reliable predictor of scientific ideation ability! Solution: We introduce the Divergent Remote Association Test, a novel creativity test that assesses both divergent *and* convergent thinking ability at the same time. ✅ The Divergent Remote Association Test is the first test to achieve significance in both evaluation criteria—validity (𝑟 = 0.57, 𝑝 ≈ 0.008) and specificity (𝑟 |𝑔 = 0.50, 𝑝 ≈ 0.02)—for predicting scientific creativity. ———— Thanks to my co-authors @AlexiGlad, @jonahablack, @hengjinlp, as well as other colleagues who provided helpful feedback on the manuscript: @Roger_Beaty, @BabakHemmatian, @lrvarshney. Paper link: arxiv.org/abs/2605.13450

Governance faces the same question. The database world built access control and audit trails because trust required them. That work now needs to happen across the entire AI stack. Grateful to @gsifthrive GSIF for a room genuinely wrestling with this. Photo credits: @lrvarshney

Excited to share our new paper Iterative Decoding of Stabilizer Codes under Radiation-Induced Correlated Noise is on arXiv:arxiv.org/abs/2603.18231. Thanks to my advisor @lrvarshney and thanks to Paul Baity and team at @BrookhavenLab.

Applications are now live! Cohort 0 starts March 13th in Presidio with OpenHands, OpenRouter, alphaXiv, Fireworks, Dedalus Labs, Franklin Templeton, Founders Fund and Pantera. → $25K in prizes → 3 weeks building state-of-the-art AI agents → Many more surprises Apply below 👇