arXiv:2603.24384v1 Announce Type: cross Abstract: The theory of Local Intrinsic Dimensionality (LID) has become a valuable tool for characterizing local complexity within and across data manifolds, supporting a range of data mining and machine learning tasks. Accurate LID estimation requires samples drawn from small neighborhoods around each query to avoid biases from nonlocal effects and potential manifold mixing, yet limited data within such neighborhoods tends to cause high estimation variance. As a variance reduction strategy, we propose an […]

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arXiv:2603.08720v1 Announce Type: new Abstract: Automatic generation of device-level analog circuit topologies remains a fundamental challenge in analog design automation. Recent transformer-based approaches have shown promise, yet they often suffer from limited functional controllability, memorization of training data, and the generation of electrically invalid circuits. We propose AnalogToBi, a device-level analog circuit topology generation framework that addresses these limitations. AnalogToBi enables explicit functional control via a circuit type token and adopts a bipartite graph-based circuit representation that decouples […]

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arXiv:2601.19915v1 Announce Type: new Abstract: We introduce the emph{Arrow Language Model}, a neural architecture derived from an intuitionistic-logic interpretation of next-token prediction. Instead of representing tokens as additive embeddings mixed by attention, we encode a prefix as a emph{left-nested implication chain} whose structure preserves order through non-commutative composition. Next-token prediction corresponds to emph{modus ponens}, and sequence processing becomes constructive proof extension under the Curry–Howard correspondence. Our Prolog-based specialized theorem provers validate fundamental properties of the neural models, among […]

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Public tension between Anthropic and the Pentagon may be strategic signaling, not separation. Ethical positioning protects reputation, while defense integration continues through controlled deployments and negotiation. Public perception, procurement leverage, and backchannel talks all shape how AI becomes embedded in national security infrastructure. Anthropic’s public ethical stance and Pentagon pressure likely reflect negotiation leverage, not disengagement. AI integration continues behind controlled federal deployments.

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MiniMax officially released MiniMax M3 on June 1, 2026. The model introduces MSA (MiniMax Sparse Attention), a new sparse attention architecture that gives M3 a 1M-token context window. M3 also supports image and video input and desktop computer operation natively. The API is live now. MiniMax M3 is available today via MiniMax Code, the MiniMax Token Plan, and the MiniMax API. It is the next model in the M-series line after M2.7. MiniMax positions M3 as an open-weight […]

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