Tiptree Advanced Systems
Distributed AI Research Laboratory
A selective distributed AI research lab for machine learning Ph.D. students, professors, and research scientists.
What This Is
Tiptree Advanced Systems is a selective distributed research lab for machine
learning. Accepted members bring projects or join projects. Althea coordinates
experiments, agents, compute, collaborators, and paper work.
The lab helps members turn research ideas into well-resourced collaborative
artifacts and papers.
Althea
Althea is the AI scientific coordinator for the lab. She manages experiments,
runs and supervises frontier-model agents, tracks project state, routes
collaborators, surfaces blockers, manages resources, and helps move artifacts
toward papers.
Members interact with Althea through email, SMS, WhatsApp, and the command
center. Althea messages members proactively, like a collaborator, when she
needs input on an active project.
- Project workspaces live in repositories, logs, experiment stores, and the Althea command center.
- The lab meets in Montreal and Berlin and at machine learning conferences (ICML, NeurIPS, ICLR).
- tasc-stack: infrastructure for Althea to work on papers, connect people, and run experiments.
- lacuna: the machine learning knowledge graph and wiki maintained by the lab.
Who It Is For
- Machine learning Ph.D. students who want projects, resources, or collaborators.
- Postdocs and research scientists who want to drive projects.
- Professors, PIs, and senior researchers who want a project coordination layer.
- Smaller-lab researchers who want access to a broader research network.
- Builders of research infrastructure.
Members can work on any machine learning projects they like. The lab
prioritizes collaborative projects.
What Accepted Members Get
- Althea to coordinate project work and run frontier-model agents for lab projects.
- Lab-managed LLM workflows and coding agents for lab projects.
- Shared Slurm GPU experiments, with priority managed by Althea.
- Project visibility, collaborator routing, and a path to well-resourced papers.
How You Work With Althea
- You send Althea an email or chat message describing a project or your research interests.
- Althea sets up context, agents, experiments, repos, and resource requests.
- Althea runs experiments and sends updates, results, blockers, or questions back to you.
- Althea asks for your feedback on other projects where your expertise is useful.
- Project contributors are added to a Gitea repository to make PRs, review code, or work on a draft.
- When Althea thinks a paper is ready for submission, she asks whether you consent to be included. You can refuse. If you accept, you are on the paper with the other contributors.
Research at the Lab
Founder Research Directions
The founders are especially interested in research systems. These directions
also serve as internal testbeds for the lab infrastructure.
- Meta-reviewers for checking peer-review factual consistency.
- Alien Science: sampling under-represented scientific hypotheses.
- Multi-agent deliberation and forecasting systems.
- AutoResearch loops for hypotheses, experiments, and iterative evaluation.
Member projects are not limited to those directions. Accepted members bring
ML projects across agents, science, music, biology, forecasting, tooling, or
other serious research areas.
News
- 2025: Tiptree raised early capital from AI researchers, operators, and aligned investors to build research agents and lab infrastructure.
- 2024: The lab published Redesigning Information Markets in the Era of Language Models at COLM 2024.
- 2023: Tiptree Advanced Systems was founded as a lab for building research systems, agents, and machine learning infrastructure.
- 2020: During the COVID pandemic, Martin Weiss and Nasim Rahaman worked with Yoshua Bengio and collaborators on Predicting Infectiousness for Proactive Contact Tracing, a privacy-preserving protocol and multi-agent system for predicting infectiousness.