12/06/2025
Mirrorseed Dev Kit Campaign Passes $10K, Extends to Reach Full Goal
The Mirrorseed Project is celebrating a remarkable early success in its Symbolic Resonance Array (SRA) dev kit fundraiser, with supporters contributing $10,450 in just a few days. Several backers have made substantial individual investments, reflecting strong confidence in the SRA’s potential to pioneer safer, emotionally aware AI hardware. In response to this momentum, the campaign has been extended by 30 days to allow time to reach the full funding goal needed to produce the first developer kits and place them in the hands of researchers and collaborators. This milestone marks a major step forward in moving the SRA from theory into tangible, world-ready technology.
10/23/2025
SRA Update: Flawed Early Model, Fresh Team, and Fundraising Starts Today
After an independent review, we determined that the initial mathematical modeling we received was not reproducible and not publication-ready. We’ve paused that collaboration and are opening the work to qualified contributors. Beginning today, we’re raising funds on Experiment.com to assemble a small team (physics/applied math/materials/EE) and to build a Stage-1 SRA dev-kit prototype: a VO₂ thin-film test tile, controller electronics, and a reproducible model with open data. Backers will receive weekly updates, code, and a short public report. → Experiment.com
9/26/2025
Project Update: Preliminary Simulation Results: Scaling laws – 100% Fidelity Confirmed, Sweet Spot Found
Scaling Laws Analysis: New simulations explored how the Symbolic Resonance Array scales in size and complexity, sweeping the number of pillars (N) and symbol states (K). Results show throughput grows steadily with array size, while energy per bit improves up to a sweet spot around K≈5–6 before diminishing returns appear. That makes it easy to design both small and large systems without wasting power or cost chasing unnecessary complexity. Fidelity remained effectively 100% under nominal conditions, confirming that accuracy is not a limiting factor. Variability, coupling, and overhead power set the practical operating limits. These results mean the SRA can be scaled up for high-performance applications (data centers, aerospace, defense) or scaled down for ultra-low-power edge devices (wearables, IoT) while keeping efficiency and fidelity. The analysis confirms a predictable operating range, giving a clear path to commercialization across multiple markets.
9/25/2025
Project Update: Preliminary Simulation Results: Define Safe Operating Range, Validating SRA Efficiency
- Precision & Quantization: Accuracy scales with bit depth, with a clear threshold beyond which system stability is maintained and only marginal improvements are observed. This indicates a practical operating range that balances efficiency and hardware simplicity.
- Controller-in-the-Loop Stability: Preliminary simulations show a broad stable operating range with a clear threshold near proportional gain 1.0. Integral settings around 0.8 provide effective damping. Results reflect the nominal model and will be refined with hardware validation.
- Manufacturing Variability (Monte Carlo): Simulations across stressed device spreads confirm that the 8-pillar, 8-bit baseline maintains high yield. Per-pillar offset calibration is sufficient to achieve near-perfect results, while global calibration alone leaves a small tail below 99 percent.
- Edge Anomaly Detection: Simulations across five anomaly types (spike, step, drift, variance burst, flatline) show consistently high ROC performance at the 8-pillar baseline. Detection latencies remain low, with most anomalies flagged within a few dozen samples. Energy per sample is only a few picojoules, and energy per detected anomaly scales predictably with anomaly rate, confirming efficient and robust on-device monitoring.
9/18/2025
Project Update: Preliminary Simulation Results: Confirm Feasibility of the SRA
Our team has completed the first round of simulations on the Symbolic Resonance Array (SRA), and the results are encouraging. Early modeling confirms that the architecture operates stably within defined limits and offers strong potential for ultra-low energy performance.
Key findings from simulations so far:
- Noise & Throughput: System accuracy degrades predictably with noise, showing a usable operating region and confirming that robust symbol rates can be maintained.
- Crosstalk & Coupling: Neighbor interactions remain stable within a safe operating envelope, demonstrating resilience to interference between pillars.
- Temperature Drift & Hysteresis: Preliminary results support the feasibility of calibration strategies to manage thermal variability.
- Radiation Event Modeling: Initial results suggest that redundancy can mitigate soft-error events, an important consideration for aerospace applications.
- Symbolic Behavior: Proof-of-concept simulations validate expected symbolic coding dynamics, with extensions under development for ensemble and variable-instigation methods.
What this means:
These early results confirm that the SRA design is not only theoretically sound, but also practical under simulated real-world conditions. The architecture shows a credible path toward energy-efficient, robust symbolic and non-symbolic computing.
Next steps:
Our ongoing work includes refining temperature and variability sweeps, scaling studies, and extended simulations of advanced encoding variants. These efforts will provide additional data to guide laboratory prototyping and future partnerships.
9/17/2025
The Way of Genius Partners with Mirroseed Project
Beginning in Q1 2027, our partner Way of Genius will be seeking $700k in funding from space industry angel investors. This round will support the development of small-scale SRA–quantum hybrid simulations designed to validate early performance models and demonstrate cross-domain potential. As part of this effort, Way of Genius plans to lead the creation of the very first Symbolic Resonance Array prototype, marking a pivotal step from theory to tangible hardware. A prototype hybrid model is scheduled for development in 2027.