llm

Narrative intelligence for llm: 2 tracked articles, claims, and spin patterns across AI and technology coverage.

Using LLMs to Find and Prioritize Vulnerabilities Is No Easy Task

New LLM-based vulnerability detection tools generate excessive false positives and lack contextual awareness, increasing manual review burden for application security teams.

Spin 35% Needs Evidence AI Risk Moderate

Dark Reading

Jul 22, 2026

SPIN Processed News Frame: The Cushion

llm 0.31.1

A minor software patch (llm 0.31.1) fixes a JSON serialization bug in OpenAI Chat Completion endpoint handling when tool calls contain empty arguments, discovered during testing of the llm-meta-ai plugin.

Spin 20% Claim Present in Source

Simon Willison's Weblog

Jul 11, 2026

Related Claims

01 llm 0.31.1 fixes a bug with OpenAI Chat Completion endpoints where a tool call with empty arguments could result in a JSON error from some providers.

02 The latest large language models have high false-positive rates and fail to take into account the context of scans, leading to more work for AppSec professionals.

Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO