3Simon Willison's Weblog·
Simon Willison builds LLM-powered cliché highlighter tool
Simon Willison describes building an LLM-based tool that highlights clichéd phrases in text. The post is a practical demonstration of using language models for stylistic text analysis. It represents a lightweight capability demo from a well-known AI practitioner.
Related guides (2)
Related events (8)
Simon Willison releases LLM CLI tool version 0.31.1
Simon Willison published version 0.31.1 of his LLM command-line tool and Python library. The post is a release note for a minor version update to a widely-used open-source tool for interacting with language models from the terminal. LLM is a popular utility in the AI practitioner community for scripting and experimenting with model APIs.
Simon Willison releases llm-meta-ai 0.1 plugin for LLM CLI
Simon Willison published llm-meta-ai 0.1, a new plugin for his LLM command-line tool that adds support for Meta AI models. The release extends the LLM ecosystem to cover Meta's model offerings. This is a tooling addition relevant to practitioners using the LLM CLI for multi-provider access.
World Wide Models: Literary Tools for Cultural AI — framework for culturally literate LLMs
A preprint from arXiv proposes applying literary disciplines — comparative literature, narratology, critical theory, and world literature — as a framework for building more culturally literate AI systems. The essay argues that LLMs currently enact a 'massive, automated, and monolingual' form of cultural encounter and that structural monolingualism is a core problem. It develops a layered framework addressing global AI textuality through macrostructure, circulation, and untranslatability.
Simon Willison: Reverse-engineering is cheap now with LLMs
Simon Willison argues that LLMs have dramatically lowered the cost and skill barrier for reverse-engineering tasks. The post likely covers practical workflows where AI assistance makes previously expert-level analysis accessible to generalist developers. This is a practitioner-level observation about a meaningful capability shift in software analysis work.
Detecting LLM-Generated Text Using Classical Machine Learning Methods
A blog post explores using classical machine learning techniques (as opposed to neural approaches) to detect LLM-generated text. The post attracted notable Hacker News engagement with 168 points and 116 comments, suggesting practical interest from the community. LLM-generated text detection is an active area relevant to academic integrity, content moderation, and AI safety.
LLM CLI tool version 0.32a3 released
Simon Willison released version 0.32a3 of the LLM command-line tool, an alpha pre-release. The post is a brief release note with minimal body content. LLM is a widely-used open-source CLI and Python library for interacting with language models from multiple providers.
Simon Willison: GLM-5.2 is probably the most powerful text-only open weights LLM
Simon Willison asserts that GLM-5.2 is likely the most capable text-only open-weights language model currently available. The post is a commentary from a respected practitioner tracking the open-weights landscape. This is notable as a signal about the state of open-weights competition relative to closed frontier models.
Simon Willison highlights Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding
Simon Willison links to or comments on Ornith-1.0, a system described as enabling self-scaffolding LLMs for agentic coding tasks. The item appears to be a brief pointer or commentary from Willison's blog. Self-scaffolding approaches are relevant to the broader agent-tool ecosystem as they reduce reliance on externally-authored harnesses.