Nick (@nickcammarata) — Twitter Score 228 out of 1000

Nick is a researcher who has contributed to mechanistic interpretability and neural network analysis, previously working at OpenAI. Nick's Twitter Score is 228 out of 1000 (an Excellent rating) as of October 2026, ranking #1,839 (top 0.5%) among 498,071 tracked accounts.

Nick co-authored the arXiv paper "Structuring Sparsity: Block-Sparse Featurizers Capture Visual Concept Manifolds" and contributed to the "Multimodal Neurons in Artificial Neural Networks" research, where he drew connections between multimodal neurons in neural networks and the brain, created plots, labeled images, wrote sections, and built collaboration infrastructure. He also contributed to interface design, conceptual investigation, writing, and infrastructure for the "Curve Circuits" article. His self-described focus spans neural network biology and contemplative practice, including meditation and jhana.

Nick has 114,817 followers as of October 2026 on the platform and has published 58,986 posts. He has been mentioned by 86 accounts a total of 181 times.

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The accounts that follow Nick include 947 founders, 281 angel investors, 226 influencers and 3 VCs. Among them are Balaji, Marc Andreessen, Toly, Sam Altman, Ansem and Matt Huang.