An NSFW filter for Marginalia search
marginalia.nu
March 30, 2026
13 min read
Summary
An NSFW filter for Marginalia Search is being developed in response to requests from API consumers. The filter will utilize a single hidden layer neural network, having explored various other methods prior to this decision.
Key Takeaways
- An NSFW filter for Marginalia Search is being developed using a single hidden layer neural network approach, focusing on speed and efficiency for CPU performance.
- The training of the classifier requires tens of thousands of samples, which are gathered by searching for NSFW content through the search engine.
- Open source models like ollama and qwen3.5 are utilized to label sample data as SAFE or NSFW, allowing for a more efficient training process without human intervention.
- Initial results from the classifier were poor due to a skewed training dataset, as most samples were collected from NSFW-related queries, affecting the model's accuracy.
Source
marginalia.nu
Published
March 30, 2026
Reading Time
13 minutes
Relevance Score
49/100
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