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AMOR: Entropy-Gated SSM-Attention Hybrid

AMOR: Entropy-Gated SSM-Attention Hybrid

AMOR is a hybrid model inspired by dual-process cognition theories, dynamically activating sparse attention only when SSM predictions show high entropy uncertainty. It projects Ghost KV from SSM states for O(n) efficiency, outperforming SSM-only and Transformer baselines on retrieval tasks with perfect accuracy using just 22% attention positions. Prediction entropy reliably detects retrieval needs with a 1.09 nats gap.

ArXiv AIResearchFeb 17#research#amor#architecture
Synaps Raises $3.6M for AI Architect Canvas

Synaps Raises $3.6M for AI Architect Canvas

Austrian-Albanian startup Synaps raised $3.6M to develop an AI design canvas for architects, positioning it as a potential AutoCAD challenger. Five months post-beta launch in Tirana, it has 60,000 users and hundreds of paying customers. Investor Plug and Play is on its cap table.

The Next Web (TNW)MediaApr 30#ai-design#architecture#funding