Skip to content
View z0u's full-sized avatar

Block or report z0u

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
z0u/README.md

I'm an AI researcher and software engineer with a focus on technical alignment research. My background spans data platforms, ML systems, 3D visualization, and computational geometry.

I have always been interested in ethical tech. I have been an avid user of free software since 2000, and have made significant contributions to large open source software projects (most of which is not apparent from my GitHub history). In the 2010s I became a strong advocate of data ethics, and have been focused on AI safety since 2023 (thanks to Rob Miles).

Areas of expertise

  • AI safety: technical alignment research
  • ML engineering and deployment pipelines
  • Data platforms with robust governance
  • 3D graphics, game development, simulation, computational geometry, visualization
  • Web development (full-stack, various frameworks)
  • Information retrieval and search systems
  • Systems design

Projects

Visualization from an AI developmental interpretability experiment. The figure shows several very colorful scatter plots of embeddings, and their evolution over the course of training. Screen capture of a line chart being progressively drawn in a Jupyter notebook. The Python code shows two parts: the plotting function is decorated with at-run-hither, meaning that it always runs locally. The training function is decorated with at-run-thither, meaning that it always runs remotely.
AI DevInterp experiments (source) mi-ni: AI research template project

Other projects I've worked on (deliberately in vague terms):

AI safety research

  • OOD detection framework: Developed novel techniques for detecting out-of-distribution inputs in language models.
  • AI bias education tool: Created an interactive game exploring unintended consequences of AI deployments to help teams identify subtle failure modes.

Data & ML systems

  • Adaptable ML pipelines: Built end-to-end ML capabilities including training environments, data pipelines, and serverless inference deployments.
  • Geospatial analysis platform: Developed a system for performing search and analysis of continent-scale raster and vector data.

Visualization & graphics

  • 3D web experience: Led development of a highly-usable 3D web app for architectural visualization and design.
  • Interactive simulation tools: Created novel solvers for 3D engineering simulations with real-time interactive visualizations.
  • 3D adventure game: Built a unique game featuring innovative physics for character movement and environment interaction.

Pinned Loading

  1. ex-color-transformer ex-color-transformer Public

    DevInterp experiment for structuring latent space

    Python

  2. mi-ni mi-ni Public template

    Template project for AI experiments

    Python 8

  3. rsa rsa Public

    Forked from VPAC/rsa

    Storage and processing for geospatial raster data

    Java

  4. cargo cargo Public

    S. Cargo - a 3D adventure game about a snail!

    Python 4

  5. bat bat Public

    The Blender Adventure Toolkit - helper library for management of objects, sounds, etc.

    Python 1