Expired90% confidenceFactTime unknown
The development of Big Words was prompted by the fact that Simon Willison's macOS presentation tool only accepted URLs as input, and he needed a way to add plain text slides.
1
Sources
90%
Confidence
Medium-term (~90 days)
Relevance
5/31/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 8/29/2026(expired)
Sources
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Related Claims
UnverifiedSimon Willison developed Big Words, a web tool that generates full-screen text slides via URL query parameters.79% similarUnverifiedSimon Willison (the author of Datasette) demonstrated a method of placing an LLM command-line tool in the shebang line to turn natural language text files into executable scripts.62% similarUnverifiedThe summarization capability of large language models is essentially the process of identifying key semantic nodes in text through the attention mechanism, compressing long documents into short texts that retain the core arguments.60% similarUnverifiedText embedding technology has followed a development path from Word2Vec and Sentence-BERT to general-purpose embedding models based on instruction fine-tuning.60% similarUnverifiedBig Words所有配置状态都编码在URL查询参数中，采用无状态设计，无需后端存储59% similar
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