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jack-clark.net
研究Import AI 470: No rights for machines; automating environment generation with SPADE; and building better GPU kernels with Hawkeye(jack-clark.net)
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研究The Download: kids outlearning AI, and space travel agents(technologyreview.com)
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研究Bern2Edge: A Neurosymbolic Compiler for Edge Deployment via Bernstein Polynomial Networks(arxiv.org)
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研究Shared Physics Responses Recover Hidden Rankings in Neural Operator Libraries(arxiv.org)
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研究World models of environment, agent and joint agent-environment systems(arxiv.org)
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研究Truth Lies Deep: Countering Semantic Camouflage via Latent Intent Verification(arxiv.org)
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研究Amortized Bandwidth Learning for Kernel Density Estimation under Logarithmic Score(arxiv.org)
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研究A Survey on Foundations and Frontiers of Multimodal Agentic Frameworks: Techniques and Applications(arxiv.org)
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研究Wrong-Physics Backdoors in Neural PDE Operators(arxiv.org)
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研究When Graph-JEPA Learns the Wrong Thing: Diagnosing and Repairing Category-Conditional Collapse(arxiv.org)
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研究Who Delegates to AI? Evidence from 53,000 Agent Configurations(arxiv.org)
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研究Terminal Agents: A Survey of AI Agents in Command-Line Environments(arxiv.org)
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研究STCO: Conditional Neural Operators for Time-Dependent PDEs(arxiv.org)
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研究SDAD: Spec-Driven Agentic Development for the AI-Native SDLC(arxiv.org)
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研究BF1: A Causal Dyadic Sparse-Attention Retrofit for Efficient Long-Context Transformers(arxiv.org)
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研究When Clean Data Hurts: Learning with Monotone Corruptions Beyond Binary Classification(arxiv.org)
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研究Stored in Optimizer State, Valued by Later Training: A Causal Account of Subliminal Trait Transfer(arxiv.org)
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研究Metag: A dataset to build agentic meta-reviewing capabilities(arxiv.org)
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研究Machine Learning and ARIMA Model Averaging for Adaptive Public Health Forecasting: Comparative Evaluation and an Ontario COVID-19 Case Study(arxiv.org)
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研究Nexus: Depth-Adaptive KV-Cache Splicing and Retrieval-Decoupled Tool Routing for Agentic LLMs on Unified Memory(arxiv.org)
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研究Categorical AI phenomenology: A first-person approach(arxiv.org)
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研究Environmental Slow AI: Design Principles for Generative Systems(arxiv.org)
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研究Approximate Homomorphisms and Convergent Representations in Transducers(arxiv.org)
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研究Interpretable Multimodal Classification with Linear Discriminant Tree Ensembles(arxiv.org)
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研究The Sequence Radar - Issue 919: Last Week in AI: Stripe Wants to Own the Token Economy(thesequence.substack.com)
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研究The Download: threats from space mirrors and credit for AI drugs(technologyreview.com)
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研究Mother tongue(technologyreview.com)
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研究When AI designs a drug, who gets the credit?(technologyreview.com)
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研究Bounded Sovereignty and the Control Tax: Pricing AI Oversight When the Deployer Does Not Own the Model(arxiv.org)
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研究Towards On-Board Implementation of ML-Based Helicopter Weight Estimator(arxiv.org)
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