Symbolic Intermediaries
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Related Articles from SNS
Symbolic Intermediaries as a Linguistic-Numerical Interface for LLM-Driven Geometric Reasoning
arXiv:2505.17607v3 Announce Type: replace Abstract: Large Language Models (LLMs) display reasoning capabilities over linguistic and symbolic objects but have limited capabilities to directly interpret the continuous numerical outputs of physics simulators, e.g., distances, curvatures, and trajectories that resist discrete tokenisation. Across spatially grounded engineering reasoning tasks, from mechanism design to motion planning, this defines a fundamental gap, which limits the wider...
LLMs are not the black box you were promised
LLMs are not the "black box" you were promised. Mechanistic interpretability — peering into a neural network to reverse engineer its inner workings — has made major strides. Anthropic's On the Biology of a Large Language Model (2025) is a landmark in that effort.
Anthropic/OpenAI may be spending more than $1000 for every $100 you pay them
For reasons that will remain hidden, we resume writing about Generative AI/LLM after a hiatus of 15 months (that one from October 2025, and the one from June 2025, don’t really count as serious pieces). Today, the first of two articles about “coding with Large ‘Language’ Models”, as coding with LLMs is positioned as the ‘killer app‘ for LLMs. We interrupt this program for a short digression on Anthropic’s recently released blog post When AI builds itself.