What is AGI?
AGI isn’t a bigger chatbot. We believe AGI should emerge as a trusted, self-evolving AI-orchestrated system of expert modules, designed to be verifiable and solve real-world tasks safely and transparently.
Our Perspective
At Chariot Technologies Lab, AGI—Artificial General Intelligence—isn’t a buzzword. It’s our north star. To build it, we have to define it precisely.
AGI is not scaled-up text prediction. And it’s not a clone of the human brain.
AGI is a trusted, self-evolving AI-orchestrated network of versatile specialised functionalities that can reconfigure itself to solve any real-world task under resource, safety, and ethical constraints with verifiable reasoning. It’s the foundation of the humanity.ai system, and our north star at Chariot Technologies Lab.
Why Build AGI?
We believe AGI holds the potential to address humanity’s greatest challenges—both the everyday and the existential. From simplifying daily tasks and freeing up time for what matters, to curing diseases, inventing transformative technologies, and uncovering the mysteries of the universe, the impact of AGI could be profound. That’s why we’re committed to building it with care, purpose, and humanity at its core.
What Human Civilization Teaches Us About Intelligence
Humanity didn’t advance through one genius's mind. It progressed through networks of specialists: individuals with unique skills, diverse perspectives, and the patience to solve hard problems over decades.
That’s our blueprint for AGI:
- Team of specialists, not a monolithic ‘genius’: Interacting ‘experts’ in various fields (generative AI, ML, rule-based), not one oversized omniscient brain.
- Checks and balances: Independent agents whose outputs are subject to verification and iterative refinement.
- Lifelong learning: Systems that evolve continuously in the field.
Key Elements of AGI
- AI supervised system: Coalitions of expert agents forming on the fly.
- Embodiment: Grounded in sensors, simulations, and real-world actuation.
- Self-evolution: Continuous evolution; new skills learned automatically from new data.
- Trust: Transparent reasoning and verifiable decision paths.
Why LLMs Aren’t Enough
Large Language Models are powerful, but they are not AGI.
LLMs are valuable tools within AGI, but architecture—not scale—is the leap from narrow AI to general intelligence.
The Road Ahead
At Chariot Technologies Lab, we’re building this future step by step with the humanity.ai system:
- Open-source tools and frameworks
- Transparent benchmarks and publications
- Secure, inspectable, modular AI infrastructure
Our team has made critical technological advancements that we believe position us to help make AGI a reality. We will focus on releasing open-source tooling, publishing benchmark results, and inviting scrutiny of our verification stack. We welcome collaboration because AGI, like human civilization, won't be built by any one company—it will be built by a community of specialists pushing one another forward.
Please reach out to us at [email protected] if you're interested in contributing to our work.