G of Alpha
G of Alpha
We build self-regulating intelligence systems — from novel neural network architectures that monitor and correct their own training dynamics, to adaptive controllers and real‑time modulation APIs that bring precision control to AI, automation, and physical systems.
Our research spans self-regulating neural networks, an adaptive information flow controller (Alpha‑ML), and a real-time modulation API (Alpha‑Adjust) — working together to deliver precise, controllable intelligence.
A novel framework enabling neural networks to monitor and correct their own internal dynamics in real time.
Learn more →Information tracking and flow control that evaluates signals and adjusts when and how to proceed.
Learn more →A 51.5M-parameter model that learns strategically coherent chess purely from text — available on Hugging Face.
Learn more →Lightweight, profile-driven API for on-the-fly control stabilization and output modulation.
Learn more →A closed-loop control framework for neural networks that produces self-regulating models — demonstrated with a 51.5M-parameter chess model (64 attention heads, zero collapsed, 20,000 stable training steps) and adaptive control APIs for real-time modulation.
Fine-grained behavioral control is essential for safety-critical use cases—from intelligent tutoring and research automation to secure enterprise deployment.
A second pillar of our work is a uniquely formatted, proprietary data layer designed to improve training reliability and trust. This infrastructure is central to a trustworthy AI-data economy and is being expanded in collaboration with partners.
Author, independent philosopher, and AI engineer focused on autonomy, meaning, and human decision-making. Leads the development of adaptive control architectures and a trustworthy AI-data economy aligning contributors, users, and communities.
Seasoned business consultant and advisor across many sectors, focused on strategy, partnerships, and execution. Strengthens organizational growth, stakeholder relationships, and long‑term positioning.
In Memoriam — Founding Advisor
Vice President, WAFUNIF. Prof. Dr. Prado provided strategic guidance on responsible technology deployment, policy alignment, and sustainable growth — leveraging decades of science and technology leadership across governments and institutions. His vision and dedication helped shape the foundation of G of Alpha, and his legacy continues to guide our work.
We honor his memory and lasting contributions.
This page is a concise overview. See the research page for full details, features, and methodology.
© 2025 G of Alpha LLC. All rights reserved.
This is not a toolkit — it’s an approach. One that values interpretability, responsiveness, and long-term adaptability.
Our framework enables neural networks to monitor and correct their own internal dynamics during training — eliminating attention collapse and producing stable, efficient models.
A 51.5M-parameter model learns strategically coherent chess from raw text in ~3,000 steps — no chess-specific architecture, no board encoding. Available on Hugging Face.
Deploy precision control via our APIs — from live output modulation to signal-driven flow management across AI pipelines, automation, and physical systems.