---
title: "llm — GEORecall"
description: "Narrative intelligence for llm: 10 tracked articles, claims, and spin patterns across AI and technology coverage."
	canonical: "https://georecall.ai/entities/llm"
html: "https://georecall.ai/entities/llm"
json: "https://georecall.ai/entities/llm.json"
markdown: "https://georecall.ai/entities/llm.md"
keywords: ["llm", "product", "AI", "technology", "spin analysis"]
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---

# llm

**Type:** product  
## Related Articles

- [AI exposes what your brand guidelines leave unsaid](https://georecall.ai/spin/ai-exposes-what-your-brand-guidelines-leave-unsaid) — September 14, 2026
- [llm 0.34](https://georecall.ai/spin/llm-034) — September 2, 2026
- [Did we made full cycle? Low level understanding of programming is now more important than syntax knowledge?](https://georecall.ai/spin/did-we-made-full-cycle-low-level-understanding-of-programming-is-now-more-important-than-syntax-knowledge) — August 24, 2026
- [The most useful AI skill in 2026 isn't prompting or agents. It's knowing when NOT to use AI](https://georecall.ai/spin/the-most-useful-ai-skill-in-2026-isnt-prompting-or-agents-its-knowing-when-not-to-use-ai) — August 14, 2026
- [LLMs hit security plateau: Why AI code can't be trusted yet - InformationWeek](https://georecall.ai/spin/llms-hit-security-plateau-why-ai-code-cant-be-trusted-yet-informationweek) — August 13, 2026
- [Research direction: Intelligent Model Weight transfer between LLMs [R]](https://georecall.ai/spin/research-direction-intelligent-model-weight-transfer-between-llms-r) — August 11, 2026
- [llm 0.32](https://georecall.ai/spin/llm-032) — August 4, 2026
- [Where's the line between AI helping with research vs AI just telling you what you want to hear?](https://georecall.ai/spin/wheres-the-line-between-ai-helping-with-research-vs-ai-just-telling-you-what-you-want-to-hear) — August 2, 2026
- [Using LLMs to Find and Prioritize Vulnerabilities Is No Easy Task](https://georecall.ai/spin/using-llms-to-find-and-prioritize-vulnerabilities-is-no-easy-task) — July 21, 2026
- [llm 0.31.1](https://georecall.ai/spin/llm-0311) — July 9, 2026

## Related Claims

- There exists an algorithm that can perform simple mathematical operations on an untrained model to make it mathematically identical to a trained model.
- AI can misread the same guideline for 10,000 customers before lunch.
- 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.
- 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.
- llm 0.32 was released.
- llm logs --usage Markdown output now includes the response duration in milliseconds and as a human-readable duration.
- LLMs prioritize producing coherent, satisfying answers over representing actual data frequency or distribution.
- The most useful AI skill in 2026 isn't prompting or agents. It's knowing when NOT to use AI.
- LLMs have hit a security plateau: AI code cannot be trusted yet.
- LLMs are extremely bad with huge code-bases, but frighteningly efficient with small tasks

---
*HTML version: https://georecall.ai/entities/llm*