Self-interpretability: LLMs can describe complex internal processes that drive their decisions by Adam Morris
greaterwrong.com·4h
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Building a Hypercube Interpolator (in Rust)
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A Policy Roadmap for Secure AI by Design
paloaltonetworks.com·1d
🏗️Enterprise Software Architecture
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My strong belief is that you should be able to ask a program how it wants to be talked to, so you can:
🏗️Enterprise Software Architecture
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Information-Driven Fault Detection and Identification for Multi-Agent Spacecraft Systems: Collaborative On-Orbit Inspection Mission
arxiv.org·23h
🏗️Enterprise Software Architecture
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Time Necromancy: Python Scripts That Resurrect Lost Hours
🏗️Enterprise Software Architecture
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Plug-and-Play Clarifier: A Zero-Shot Multimodal Framework for Egocentric Intent Disambiguation
arxiv.org·23h
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Advancing AI By Nesting Minds Inside The Layers Of Machine Learning And LLMs
forbes.com·20h
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Quantum Markov Chains: Hub-Pruned Estimation for Fashion Recommenders
arxiv.org·1d
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Decoding new DNA 'letters' to advance medicine and biotechnology
phys.org·13h
🖨️3d printing
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Beyond Mapping Adversarial Subspaces: Why AI Security Needs Architectural Defenses
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Reinforcement Learning Improves Traversal of Hierarchical Knowledge in LLMs
arxiv.org·2d
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The AI Shift: Why Specialized Models are the Next Wave for Tech Teams
🏗️Enterprise Software Architecture
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Three Kinds Of Ontological Foundations
lesswrong.com·4d
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Sparse Federated Representation Learning for autonomous urban air mobility routing for low-power autonomous deployments
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Toward Robust EEG-based Intention Decoding during Misarticulated Speech in Aphasia
arxiv.org·1d
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