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Proving a human wrote something

gjtorikian.online

July 24, 2026

5 min read

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44/100

Summary

A New Year's resolution to write more blog posts has been made, prompted by the desire to share technical knowledge accumulated over the years. A spreadsheet of potential blog post ideas has been created to facilitate this writing endeavor.

Key Takeaways

The author expresses a commitment to writing more blog posts after a hiatus and acknowledges the challenges of maintaining motivation.
The author uses AI extensively in programming and open-source work but emphasizes the importance of retaining the mental process of writing and programming.
The author introduces a project called Semoi, which aims to distinguish human-written text from AI-generated content by tracking the time and effort involved in writing.
The author reflects on the differences in outcomes when using AI for writing versus programming, noting that AI often produces results that differ from their own approach.

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Community Sentiment

Mixed

Positives

The conversation around proving human authorship in a world dominated by LLMs raises fascinating questions about the future of content creation and authenticity.
The idea of tracking keystrokes to differentiate human writing from AI outputs is a creative angle that could lead to innovative solutions for content verification.
There's potential for developing a robust attestation system for various media types, which could enhance trust in digital content amidst rampant AI generation.

Concerns

Trying to mechanically prove human creation in the era of LLMs is a fool's errand, as any solution will likely be easily circumvented.
The skepticism about the value of rephrased LLM content raises serious questions about the originality and worth of AI-generated text versus human insights.
Concerns about how to effectively implement attestation for text highlight the complexity and challenges of distinguishing human from AI-generated content.