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When is a large language model a good calibration agent? Physics-labeled prompting for budgeted engineering simulator calibration

arXiv cs.LG ↗ · 2026-10-19 Cached

This paper evaluates whether an LLM can serve as a calibration agent for expensive engineering simulators, finding that physics-labeled prompts cut early calibration error 22-fold but lose their advantage after about ten runs, so a hybrid warm-start plus numerical optimizer workflow reaches target accuracy in 9 runs versus 17 for Nelder-Mead.

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PolyBridgeBench: Benchmarking Multimodal LLMs for Physics-Grounded Bridge Design

arXiv cs.AI ↗ · 2026-09-21 Cached

PolyBridgeBench is a new executable benchmark for evaluating multimodal LLMs on physics-grounded bridge design tasks, revealing gaps between deterministic validity and dynamic success in structure synthesis and repair.

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Jeff Bezos Reveals His New Startup Prometheus Is Building an “Artificial General Engineer”

Reddit r/singularity ↗ · 2026-06-11

Jeff Bezos reveals his new startup Prometheus, which aims to build an 'Artificial General Engineer' to accelerate engineering and manufacturing, with $41 billion raised and potential $100 billion investment fund.

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@MaximeRivest: https://x.com/MaximeRivest/status/2017688441404764174

X AI KOLs Following ↗ · 2026-01-31 Cached

A skeptical software engineer argues that chatbots are overhyped and that the real value of AI lies in using language models as reliable compute components in engineering systems, encouraging developers to integrate AI into practical applications beyond conversational interfaces.

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