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Chris Albon's Website
Chris Albon’s site describes a project that uses visitor activity to build an open map of congressional hearings.
About Chris Albon's Website
Chris Albon's site is a visitor-powered project that builds an open map of congressional hearings. While a visitor browses, the all-MiniLM-L6-v2 model runs on that visitor's computer and converts passages into embeddings — lists of 384 numbers representing meaning. Those numbers are compared to connect similar passages across hearings. Each completed embedding is saved to a shared collection, and new transcripts get priority as visitors work through the archive. Passages come from selected congressional members' remarks, across subjects, from GovInfo. Visitors can inspect the numbers, download the embeddings, or pause the model at any time. A visualization projects the 384 dimensions onto two dimensions, one point per passage. Pricing is not stated.
Key features
- Runs all-MiniLM-L6-v2 on the visitor's own computer
- Turns hearing passages into 384-number embeddings
- Compares embeddings to link similar passages across hearings
- Saves each completed embedding to a shared collection
- Lets visitors inspect numbers, download embeddings, or pause the model
- Projects 384 dimensions onto two for a passage map
Best for: People interested in congressional hearing transcripts, open embedding datasets, or contributing spare computing time to build a shared map.
Good for
- Model processing happens on the visitor's computer rather than a central server
- Completed embeddings can be downloaded and the underlying numbers inspected
- Embedding work can be paused at any time, and new transcripts are given priority
Watch out for
- Finished embeddings are added to a shared collection, so contributed results are not private to the visitor
- The map is assembled from visitor activity, so coverage depends on participation
- Pricing is not stated, and no source repository is listed
Chris Albon's Website at a glance
- Website
- chrisalbon.com
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Chris Albon's Website FAQ
Where do the hearing passages come from?
They are selected congressional members' remarks, across subjects, taken from GovInfo.
What model creates the embeddings?
all-MiniLM-L6-v2 runs on the visitor's computer and turns passages into lists of 384 numbers representing their meaning.
Can I control or stop the processing?
Yes. Visitors can pause the model at any time and can inspect or download the embeddings.
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