Project summary

Independent researcher from Greece advancing QAI-QERRA, an open-source (MIT-licensed) quantum-ethical framework for safeguards against misalignment in advanced AI and humanoid robots.Key features include real quantum entanglement (verified 8+ qubit W-states via IBM/PennyLane), proactive remorse simulation (Vectors 9/10 with perfect -1.00 alignment scores), distributed entanglement for fair allocation, and PEMEV-11 vectors enforcing planetary equity. Live on GitHub: https://github.com/marunigno-ship-itThis provides verifiable, proactive tools to reduce deceptive misalignment risks — fully transparent and adoptable.

What are this project's goals? How will you achieve them?

Goals (12-18 months):

• Scale ethical vectors with noise robustness and larger quantum simulations (16+ qubits).

• Implement multi-agent validation in simulated humanoid environments.

• Achieve TRL 6 (prototype validation in relevant environments).

• Release improved documentation, example circuits, and tutorials for community adoption/contributions.

• Produce measurable alignment improvements (e.g., reproducible -1.00+ scores on remorse horizons).

How:

• Full-time refinement using cloud quantum access (IBM, AWS Braket) and PennyLane.

• Iterative testing/documenting on open repos.

• Share progress publicly for feedback (X, GitHub, alignment forums).

This advances open-source safeguards prioritizing truth, fairness, and human-flourishing — directly reducing long-term AI risks.

How will this funding be used?

Requesting $30,000 (flexible: $20k minimal for basics, $50k ideal for accelerated compute).Breakdown:

• 60% Personal runway/stipend (~€1,400–2,000/month): Independent furnished rental outside Athens, stable WiFi, food, healthcare/dental buffer, basic taxes — enabling full-time focus amid current unstable environment and Greek economic challenges.

• 30% Compute resources: Cloud quantum simulators/GPU access (e.g., extended IBM credits, AWS) for scaling vectors and robustness testing.

• 10% Contingency/tools: Laptop upgrade if needed, minor emergencies.

All spending transparent; no team salaries yet.

Who is on your team? What's your track record on similar projects?

Team: Solo independent researcher (Marouso Metocharaki /

@marunigno

) — no team yet to keep overhead zero and focus pure.Track record:

• Built and released full QAI-QERRA prototype open-source, including verifiable quantum circuits and perfect -1.00 remorse vector scores.

• Consistent solo progress on complex hybrid quantum-ethical code despite resource constraints.

• Submitted to EIC Accelerator 2026 (short proposal with video pitch).

• Resilient self-directed execution in deep-tech AI safety as an indie builder.
  

What are the most likely causes and outcomes if this project fails?

Most likely causes of failure:

• Insufficient runway leading to survival interruptions (current unstable housing/economic barriers forcing slower/part-time work).

• Limited compute access stalling larger-scale quantum tests.

Outcomes if fails:

• Progress slows significantly — core repos remain open-source, but scaling/validation delayed (e.g., no TRL 6, fewer community contributions).

• Valuable safeguards (remorse simulation, equity vectors) advance more gradually via spare time.

• No catastrophic loss — code stays public and verifiable for others to build on.

Risks are low-impact due to open-source nature; funding primarily accelerates timeline and depth.

How much money have you raised in the last 12 months, and from where?

$0 formal funding in the last 12 months.Self-funded via personal resources/time. Applied to other grants (e.g., LTFF Dec 2025, EIC Accelerator, small microgrants) but no awards yet.