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Case Study: Cost-Quality Trade-offs Between Cloud API and On-Premise LLMs for Enterprise Coding Agents
Autonomous coding agents force engineering organizations to choose between API-based frontier models -- strong reasoning at high token cost -- and on-premise quantized open-weights models, which promise low-marginal-cost scaling and data sovereignty at so
Xiaomi unveils 38-billion-parameter U0 model for unified embodied AI synthesis and robotics
Recent foundation image and video generation models offer strong generalization and controllability, but their direct application to embodied scenarios is limited by requirements for multi-view consistency, geometric coherence, and robot embodiment constr
Shared by @chris_j_paxton ↗New Framework Detects Quantum Mpemba Effect Using a Single Observable
The Mpemba effect, in which a system farther from equilibrium relaxes faster than one closer to it, defies the intuition of nonequilibrium statistical mechanics. Here, we introduce a general framework to unambiguously witness this phenomenon based on a si
Convergence Analysis of Operator Splitting Methods for the Yukawa Potential Schrödinger Equation
Splitting methods are among the most classical and fundamental tools for the simulation of quantum dynamics, and their importance has grown further with the rise of quantum computing. In this work, we analyze the Schrödinger equation with Yukawa potential
Metacognition in Large Language Models: A Comprehensive Review of Current Research and Future Directions
Metacognition is a foundational component of intelligence critical to effective learning, problem solving, decision-making, communication, and more. In recent years, it has become increasingly recognized as a cornerstone of capable, transparent AI systems
Shared by @omarsar0 ↗Metacognition in Large Language Models: A Comprehensive Review of Current Research and Future Directions
Metacognition is a foundational component of intelligence critical to effective learning, problem solving, decision-making, communication, and more. In recent years, it has become increasingly recognized as a cornerstone of capable, transparent AI systems
Shared by @omarsar0 ↗JWST Survey of NGC 6822 Reveals Dust Production by Evolved Stars in a Low-Metallicity Dwarf Galaxy
We present a photometric catalogue of the Local Group dwarf galaxy NGC 6822 based on deep JWST observations obtained with the Near-Infrared Camera (NIRCam) and Mid-Infrared Instrument (MIRI). Point-spread-function photometry and band matching were perform

