diagnostics

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#diagnostics

Diagnosing Tool-Selection Reasoning in LLM Agents with Canary Tools

arXiv cs.AI ↗ · 2026-08-06 Cached

This paper introduces 'canary tools' as diagnostic probes to identify specific tool-selection reasoning failures in LLM agents, proposing a six-type taxonomy and evaluating eight models across 8,640 task runs to show capability-tier disparities and robustness.

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#diagnostics

Stuck on "A": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model

arXiv cs.CL ↗ · 2026-08-05 Cached

This paper investigates the failure modes of converting Qwen3-0.6B-Base attention layers to KDA linear attention on a single GPU, identifying an 'interface injury' where the model predicts option labels rather than content, and proposes a format-targeted KL stage to repair it.

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#diagnostics

Development of FDD-ON: an Ontology for VAV HVAC System Fault Detection and Diagnostics

arXiv cs.AI ↗ · 2026-08-03 Cached

This paper presents FDD-ON, a modular ontology for representing VAV HVAC system components, faults, symptoms, and impacts to enable interoperable fault detection and diagnostics applications.

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#diagnostics

@Tsinghua_Uni: “Biomedical engineering’s core value is turning engineering innovations into accessible medical solutions,” said @Tony_…

X AI KOLs Timeline ↗ · 2026-07-29 Cached

Tony Y. Hu from HKUniversity Beijing Center discussed the core value of biomedical engineering in making innovations accessible, highlighting CRISPR-TB, lab-in-tube diagnostics, and wearable monitors for faster detection.

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#diagnostics

Flycheck 38: Might & Magic

Lobsters Hottest ↗ · 2026-07-29 Cached

Flycheck 38 is a major release that adds built-in Eglot support for language servers, inline diagnostic annotations, and the ability to apply quickfix code actions, revitalizing the Emacs linting tool.

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#diagnostics

@elonmusk: Grok Build is adding features to help you track and improve token efficiency

X AI KOLs Timeline ↗ · 2026-07-22 Cached

Grok Build adds features for token usage tracking, model configuration, prompt batching, and diagnostics to help developers improve token efficiency.

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#diagnostics

Weekly Update 513: Clauding The Home Network

Troy Hunt ↗ · 2026-07-21 Cached

Troy Hunt shares how he used Claude to integrate data from UniFi, Home Assistant, and Pi-Hole to gain insights into his home network, and how Claude quickly identified a dead Pi-Hole as the cause of a Sonos connectivity issue.

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#diagnostics

Get Transparent Pricing on Labs

Product Hunt ↗ · 2026-06-30

Mito Health offers transparent pricing for lab tests, showing the real price with no extra fees.

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#diagnostics

A breath test could diagnose pneumonia in minutes

MIT Technology Review ↗ · 2026-06-23 Cached

Researchers at MIT have developed PlasmoSniff, a breath test that uses nanoparticles and enhanced Raman spectroscopy to detect pneumonia and other lung conditions in minutes, potentially enabling rapid at-home or clinical diagnosis.

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#diagnostics

@aijoey: for all my new dgx spark owners. https://github.com/joeynyc/spark-doctor…

X AI KOLs Timeline ↗ · 2026-06-23 Cached

Spark Doctor is an open-source diagnostic CLI for NVIDIA DGX Spark that collects system, GPU, memory, Docker, and recipe data, applies specific rules, and outputs the likely cause and next steps for common issues.

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#diagnostics

15-minute at-home Lyme disease tick test

Hacker News Top ↗ · 2026-06-18 Cached

A new 15-minute at-home tick test kit called LymeAlert, developed by an MIT-trained physician assistant, aims to quickly detect Lyme disease bacteria from ticks to enable early antibiotic treatment and reduce unnecessary doctor visits.

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#diagnostics

Got Thread problems? There’s an app for that

The Verge ↗ · 2026-06-17 Cached

The Thread Group has launched a beta diagnostic app for iOS and Android that provides visibility into Thread-based smart home networks, helping troubleshoot connectivity issues.

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#diagnostics

@Sumanth_077: Get a letter grade for your AI agent in under 5 minutes! iFixAi is an open-source diagnostic that catches AI operationa…

X AI KOLs Timeline ↗ · 2026-06-16 Cached

iFixAi is an open-source diagnostic tool that grades AI agents on misalignment risks across five pillars, running 45 inspections, and is provider-agnostic and CI-friendly.

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#diagnostics

@posva: Over the years, in Vue, we have added a lot of dev only warnings at runtime to help developers With @antfu7 we want to …

X AI KOLs Following ↗ · 2026-06-16

Vue core team member @posva announces nostics, a new structured diagnostics system for Vue.js to improve dev warnings with actionable error messages and automatic fixing support.

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#diagnostics

Anomalies in Multivariate Time Series Benchmarks Are Mostly Univariate

arXiv cs.LG ↗ · 2026-06-03 Cached

This paper introduces a diagnostic framework for multivariate time series anomaly detection benchmarks and finds that labeled anomalies are mostly detectable from individual channels, challenging the need for cross-channel modeling. The authors call for more structurally diverse evaluation sets.

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#diagnostics

Testing the Test: Score-Direction Instability in Class-Split Anomaly Detection

arXiv cs.LG ↗ · 2026-06-03 Cached

该论文揭示了在类分割异常检测评估中,由于表示空间中的分布重叠,异常分数可能变得不稳定甚至反转,并引入了一种无训练的邻域类泄漏诊断来预测此现象。

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#diagnostics

@vista8: The hottest Codex network speed optimization use case recently, wrote a prompt and it works well after personal testing: 1. Enter “/goal” in Codex, or “/目标” in the Chinese version; if not using those, just send the prompt directly. 2. The prompt is: Optimize the current computer's network speed and stability. Please…

X AI KOLs Timeline ↗ · 2026-05-23 Cached

Shared a prompt for Codex that can automatically diagnose and optimize macOS network speed and stability, including benchmarking, safe modifications, and retesting comparison.

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#diagnostics

MagBridge-Battery: A Synthetic Bridge Dataset for Li-ion Magnetometry and State-of-Health Diagnostics

arXiv cs.LG ↗ · 2026-05-21 Cached

This paper introduces MagBridge-Battery, a synthetic dataset of 6,760 magnetic-field signatures for Li-ion battery state-of-health diagnostics, combining real magnetic morphology with real degradation labels to bridge the gap in public magnetic-sensing battery data.

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#diagnostics

Lost and Found in Translation: Variational Diagnostics for Neural Codebook Channels

arXiv cs.LG ↗ · 2026-05-20

This paper introduces the neural codebook channel diagnostic for VAEs, which measures encoder-decoder disagreement and provides a certificate bounded by the variational gap, enabling detection of mismatched decoding in deep generative models.

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#diagnostics

Library Drift: Diagnosing and Fixing a Silent Failure Mode in Self-Evolving LLM Skill Libraries

arXiv cs.AI ↗ · 2026-05-20

This paper identifies 'library drift' as a silent failure mode in self-evolving LLM skill libraries, where unbounded skill accumulation causes retrieval degradation and performance stagnation. It provides trace-level diagnostics and a verified governance recipe that lifts pass@1 from 0.258 to 0.584 on MBPP+ hard-100.

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