Recent submissions

Comment · 6 months ago
Summary: https://lustra.news/en/us-congress/119/legislations/119_HR_8...

It is incredibly ironic that Josh Gottheimer, the bill's sponsor, is pushing for mandatory OS-level age verification while his own official contact site (https://gottheimer.house.gov/contact) returns a 404 error, making it impossible to reach him.

Comment · 8 months ago
Tech Stack:

Frontend: Flutter (Web & Mobile Monorepo),

Backend: Firebase + Google Cloud Run,

AI: Vertex AI https://lustra.news/info/tech

License: PolyForm Noncommercial — source is available for inspection, learning, and non-commercial civic use. Commercial use would require a separate agreement.

I am looking for contributors. I have the US and Poland live. EU, UK, FR, DE in pipeline. I need help building Data Adapters for other parliaments (the core logic is country-agnostic). If you want to help audit the code or add a country, check the repo. The goal is to complete the database as much as possible with current funding. Please, fork it if you can.

Live App: https://lustra.news

Repo: https://github.com/fokdelafons/lustra

Dev Log: https://lustrainitiative.substack.com

Comment · 9 months ago
The linked post details my engineering solution: a 'Generalizer-Judge-Surgeon' pipeline to remove hallucinations from legislation.

Using a "dumber/faster" model (Flash Lite) strictly as a Judge (comparing Source vs Summary) worked better than asking initial model to self-verify. It acts like a semantic regex.

Call for Contributors: The project is Source Available. I have the core architecture ready for scaling, but I need locals to help build the specific data adapters/scrapers for their parliaments. If you want to help fix the "legislative black hole" in your country, check the repo.

Happy to answer questions about the prompt engineering or the architecture.

Comment · 10 months ago
Good question! I almost don't get problems with hallucinations. The worst case I had was oversimplification. I'm using mostly heuristic models, so they don't overthink; they just rely more on the source. If something is wrong, they usually mess up json, and it doesn't get through. Bills are typically long because of exposes, analyses, and predictions attached. I don't use it, as I'm focusing just on context sterilization and compression of info of the actual bill, not what it could be. Diffing would be wonderful! I have to think about it, thanks!
Comment · 10 months ago
Thanks! Yeah, it's an artifact, as first parliament I introduced was Sejm. Maybe I'll switch to the "Politicians"? Because I'm going to introduce senators there too.

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