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Independent research, built in public

I'm P.C. O'Brien / Eden Eldith, an autistic, disabled independent researcher developing open-source work across AI, optimisation, scientific computing, data analysis and experimental mathematics.

My projects include language models trained from scratch on consumer hardware, optimisation algorithms, research software, scientific simulations, public-data investigations, and tools for turning large amounts of information into something humans can actually work with.

Projects include WiggleGPT, COLM, UMACO/MACO, ChatInsights, environmental-data research, astronomical tooling, simulation work, and an expanding collection of experimental research published openly on GitHub.

I do this independently, without a university, company laboratory, institutional compute cluster, research grant, or salary.

At present, disability benefits are my only regular income.

That means sponsorship has a very direct effect: it helps pay for the hardware, compute, storage, hosting, APIs, data and time needed to keep doing the work.

What sponsorship supports

Sponsorship helps fund:

  • GPU compute, storage and hardware
  • hosting, APIs and research infrastructure
  • datasets and archival material
  • experiments requiring substantial compute time
  • maintaining and documenting open-source projects
  • the time needed to research, build, test and publish

Where possible, I publish the code, models, methods, results and supporting material openly, so other people can inspect it, reproduce it, criticise it, build on it, or take it somewhere I never expected.

A lot of modern research assumes access to institutions, credentials, funding, compute and professional networks. I don't have those things. What I do have is a consumer PC, a lot of curiosity, and an unreasonable willingness to keep poking at difficult problems until something interesting falls out. :P

If something I've built has been useful, interesting, or made you wonder "what on Earth is he building now?", sponsorship is one of the most direct ways to help me keep doing it. ❤️

Featured work

  1. Eden-Eldith/ChatInsights

    The Personal Knowledge Graph You Didn’t Know You Already Wrote

    Python 21
  2. Eden-Eldith/UMACO

    AI-first multi-agent optimization framework. Nature-inspired, rapidly adaptable by LLMs for any domain. Stigmergy, topological fields, and universal economy.

    Python 3
  3. Eden-Eldith/WiggleGPT

    WiggleGPT is an language model that integrates bio-inspired neural architectures into a GPT-2-style transformer.

    Python 1

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