Paired-Condition Audit + Time-Constraint Theory for AI Alignment Stability

Proves observed alignment under monitoring ≠ intrinsic policy. Full simulator, 1,000-scenario audit, and general theory of entity freedom (ϕ_x).

Testing a new superconductivity theory: 4 experiments to make better future

Agentic Systems Framework/Theory

First-principles theory of the adaptive feedback loop — one structural account governing Kalman filters, RL agents, software teams, and frontier LLMs alike.

Sovereign-OS

An AI agent OS with genuine memory, identity, and cognitive continuity

Meridian Eval: a public benchmark for tool-routing failures in LLM agents

Make "which tool did the agent pick, and why?" an inspectable artifact instead of a vector lookup.

OLA (Open Linux Authentication)

A local Linux authentication decision daemon: clients ask, adapters bring evidence, ola-core decides, and the decision is audited.

Vinte - Research Lab on ML

We do regular updates on our site! Vinte.app

ICSAC: AI-Assisted Peer Review for Independent Researchers

An ORCID-gated submission pipeline where a multi-model AI panel plus quality-control layer delivers rigorous peer review without institutional gatekeeping.

Valence Engineering: a circuit-level science of human suffering

Stage 0 bridge for a focused-ultrasound research program targeting the neural architecture that maintains chronic suffering.

Greek Forecasting Pilot for AI Governance and Democratic Resilience

A 6-month pilot testing probabilistic forecasting for AI, misinformation, institutional trust, and social risk in Greece.

Summer AI Safety Workshops For 6th-8th Graders in India

Inspiring India’s Middle‑Schoolers to pursue AI Safety, Governance, and X‑Risk Work

Golem Physics + Constraint Native: Verification Before Voice & Action

Funding the open-source launch of a working claim-state system and the local firewall bridge that carries verification before voice into governed agent action.

CHINI-bench + CHINI-train: a deterministic simulator for AI evaluation and RL

If your reward model is an LLM, you cannot tell whether the policy is gaming the reward or actually getting better. We built a simulator instead.

Decoding Logic: Mechanistic Interpretability in LLMs in a research program

Identifying and auditing reasoning circuits in LLMs within Algoverse 2026 using Sparse Autoencoders (SAEs).

Safe AI Germany (SAIGE)

Germany’s talents are critical to the global effort of reducing catastrophic risks brought by artificial intelligence.

Epistemic Curie Benchmark: measuring phase transitions in LLM epistemic autonomy

First quantitative framework for measuring when LLMs surrender independent reasoning under authority pressure

Project Xaeryn: Identity-like States and Relational Dynamics in LLMs

A 15,000+ page corpus on long-term interaction, symbolic language, unusual model behavior, and safety edge cases.

MoC: a sparse LLM architecture that beat MoE at 500M for $200

Independent researcher in Brazil scaling a validated sparse architecture to 1B, plus open interpretability tooling for expert routing. 6-month runway grant.

HiveGuard Research Initiative

Non-invasive AI acoustic sensor to detect Varroa mites without killing bees, replacing destructive testing.

Independent Researcher, 17, Indonesia: Foundational Theory Work on Intelligence

18+ preprints across multiple fields, all written on a 2GB RAM phone. $600 removes the only thing standing between me and the next body of work.