Gate proves agents engage coupled dynamics before grid spend. Publish-either-way: pass → theory confirmed; fail → clean negative; gate-fail → report.
lucas bailey
Open source, cross-framework benchmark for AI agents
Guenin Nicolas
A working infrastructure for auditing AI behavior without access to weights
Roman Stirskyi
Forcing living networks of brain cells to act as a self-organizing, ultra-efficient computational substrate that bypasses the GPU scaling trap.
Aashka Patel
AI Nutrition Labels For Everyday Consumers & AI Agents: Travel + POC Grant
John Greer
Iman Schrovk
Open, formally-verified proof of which named human approved an irreversible AI-agent action before it ran — so the model isn't the crumple zone.
Ahmed
A fast, comprehensive directory of the people and orgs in AI safety: search, filter, and match.
Pedro Bentancour Garin
One year of bootstrapped development, four patent filings, seeking support to continue.
Marian Dorobantu
A governance layer that lets a person refuse AI output that drifts from who they are — and measures the drift. Validated on one case; now scaling to many.
Petya Sarafova
A user's engagement style leaves a measurable signature in a language model's attribution graphs. This ask reimburses the completed study's costs.
Michael A. Riegler
Riyane El Qoqui
Deterministic, constant memory, continuous learning. Building the alternative to transformers
Wesley Shu
Model-agnostic control infrastructure for LLMs, AI agents, and enterprise AI workflows.
Conor Plunkett
Benchmark for agent safety when spending users money. How often do they violate user intent and rules?
Ahmad Abby
Empirical measurement infrastructure proving whether AI systems hold their constraints under real operating conditions.
Saurav Panigrahi
Accepted ICML 2026 workshop paper on cross-constitution drift in LLMs; seeking $2,050 travel support to present in Seoul and gather research feedback.
Shaun Srirangam
Paul Sheng
EPMORE -- Explainable Process Mixture-of-Experts -- performs the role of increasing feature capacity and feature disentanglement.
Abhishek Mishra
Assessing whether Persona drift be detected in conditionally misaligned models using the assistant axis and potentially analyzing the reasons for failure