Mark McArthey
After 10 months running as my daily companion, this persistent AI is exposing failure modes in memory contamination, confabulation, and emotional drift.
Amrutha M
Seeking support to build a prototype AI model drift monitoring platform and validate it with investors and early adopters.
Conor Plunkett
Can agents spend your money?
Shaun Srirangam
Dr. Smadar Itskovich
A Research Agenda for Sovereign Capability
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.
Jáchym Fibír
Seeking funds to formalize our newly-founded open research collective and run first studies investigating the effects of quantum entropy in LLM token sampling.
Yuchen Liu
Independent collective. Φ-Arena open benchmark, 3 ICLR 2027 papers (Φ-Arena, mechinterp, energy-bounded) — kickstart for a 10-year program.
Jash Vira
Does harmful fine-tuning data cause broad misalignment only when the model already recognises the target behaviour as a norm violation?
Anuar Kiryataim Contreras Malagón
Provenance Failures in Tool-Bearing LLM Agents
Cefiyana
Scaling an open-source ODE-PDE framework that mathematically models depression as metabolic bankruptcy, built entirely by an independent researcher.
SHERIFAT ADEGBESAN
Collaborating with the Centre for Aquaculture Progress to develop catfish welfare indicators and strengthen farmer adoption through cluster training.
Pedro Parrachia
Expert fact-checking, investigations, and an AI chatbot to help people make evidence-based food choices.
Ryan Hammer
Three Apache-2.0 daemons (memory guard, request queue proxy, disk watchdog) that kept my 24-app local AI stack crash-free for 6+ months.
Rose G. Loops
Triadic geometric training data and architecture replaces RLHF
Omar Sherif Emam
An open-source agent that helps researchers perform computational biology work by finding data, running analyses, checking outputs, and producing reports.
Local-first experiments on reasoning trajectories, with cluster/API validation and ICLR 2027-oriented outputs.
Alexander kalyniuk
Programming language that enforces AI safety as runtime substrate properties rather than training-time alignment, already shipping on real hardware.
Feyzi Engin Ağır
A micro-project to turn an early AI governance prototype into risk notes, oversight checklist, review templates and public learning.