arXiv:2601.05384v1 Announce Type: new Abstract: As AI agents increasingly operate in multi-agent environments, understanding their collective behavior becomes critical for predicting the dynamics of artificial societies. This study examines conformity, the tendency to align with group opinions under social pressure, in large multimodal language models functioning as AI agents. By adapting classic visual experiments from social psychology, we investigate how AI agents respond to group influence as social actors. Our experiments reveal that AI agents exhibit a systematic […]

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arXiv:2602.18493v1 Announce Type: new Abstract: Long-context LLMs and Retrieval-Augmented Generation (RAG) systems process information passively, deferring state tracking, contradiction resolution, and evidence aggregation to query time, which becomes brittle under ultra long streams with frequent updates. We propose the Unified Memory Agent (UMA), an end-to-end reinforcement learning framework that unifies memory operations and question answering within a single policy. UMA maintains a dual memory representation: a compact core summary for global context and a structured Memory Bank that […]

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I’ve seen configuration managed on paper, with change notices stacked on drawings like a to-do pile. I’ve seen teams lose the ability to rebuild the same product in another country because they couldn’t produce a complete BOM. The problem wasn’t “conservatism.” The problem was a broken evidence supply chain. Certification-ready digital threads fix that. Here’s what changed when we rebuilt that supply chain: Audit pack assembly: 2 months → 2 weeks Evidence control: Google Drive (no traceability, low access control) […]

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Happy Holidays people! If you live in the Bay Area then the next week is probably your time off, so I hope you have fun and enjoy the holiday season! As for Robotics, I just finished Week 2 of Perception, and will probably kick off Week 3 in 2018. I am excited for the last ‘real’ course (Estimation & Learning), and then building my own robot as part of the ‘Capstone’ project after that :-D. This week’s articles: […]

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We demonstrate deterministic localization of cryptographic hash preimages within specific layers of deep neural networks trained on information-geometric principles. Using a modified Spin-Glass architecture, MD5 and SHA-256 password preimages are consistently identified in layers ES15-ES20 with >90% accuracy for passwords and >85% for hash values. Analysis reveals linear scaling where longer passwords occupy proportionally expanded layer space, with systematic replication in higher-dimensional layers showing exact topological correspondence.Critically, independent network runs with fresh initialization maintain 41.8% information persistence across […]

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