Tootfinder

The Geometry of Truth: Layer-wise Semantic Dynamics for Hallucination Detection in Large Language Models
Amir Hameed Mir
https://arxiv.org/abs/2510.04933 https://

The Geometry of Truth: Layer-wise Semantic Dynamics for Hallucination Detection in Large Language Models
Large Language Models (LLMs) often produce fluent yet factually incorrect statements-a phenomenon known as hallucination-posing serious risks in high-stakes domains. We present Layer-wise Semantic Dynamics (LSD), a geometric framework for hallucination detection that analyzes the evolution of hidden-state semantics across transformer layers. Unlike prior methods that rely on multiple sampling passes or external verification sources, LSD operates intrinsically within the model's representational…

from my link log —
Renewable energy unambiguously reduces UK wholesale power prices.
https://www.carboncommentary.com/blog/2025/8/18/renewables-do-unambiguously-reduce-wholesale-power-prices
saved 2025-08-20

Renewables do unambiguously reduce wholesale power prices | Carbon Commentary
We still hear assertions that adding renewables to the grid has increased the UK’s electricity costs. I looked at two sources of data and plotted one against the other to test whether there’s any truth in this. 1,      The ‘next day’ electricity price fo

@…
I thought kalman filter was for reconciliation between multiple sensors to find a truth among noisy sources. I haven't dove into it, but I didn't realize it could apply to a single source of data. I suppose you can have a noise profile for just one source.