AGI 2.0

The Next Chapter of Intelligence

If AGI is to serve humanity, we must change course.

The Intelligence Age at a crossroads

AGI 2.0 is the reset

Artificial General Intelligence was meant to elevate humanity. But today’s AGI race runs on one idea: bigger models, bigger budgets, ever-larger infrastructure.
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That path leads to one outcome: a world where only a handful of corporations control intelligence itself.

‍AGI 2.0 is the reset. It’s a shift from model-centric, scale-obsessed AI to adaptive, context-aware intelligence that learns continuously, efficiently, and in real time.

What AGI 2.0 stands for

Standard 1:
Cost-efficient models learning during inference

Today, the costs of developing AGI systems are prohibitively high. To overcome this hurdle, models must be able to learn and adapt while they are being used (during inference), and do so without dramatically increasing costs. This shift from massive one-off training runs to continuous, lightweight learning would break the current economic bottleneck.

Standard 2:
Full ownership and control of models and data

The lack of clear ownership and intellectual property rights is a major barrier to progress. If the goal is truly to empower people, they must be able to own their machine learning model outright, not just rent access from someone else.

They must also own and control the data they use to train or fine-tune that model, including where it is stored, how it is used, and who can access it. And they must retain the intellectual property created through their models and data, ensuring that private training data doesn’t simply become free fuel for someone else’s platform.

Standard 3:
Dynamic interface powered by natural language

Today’s static, pre-designed software interfaces are another barrier to AI adoption. Users must learn the tool before they can benefit from it.

By contrast, a dynamic, natural-language-driven interface would let users simply describe what they want in plain language and have the system build or adapt the interface on the fly. In short, AI should adapt to the user, not the other way around.

The foundations of an open intelligence era

AGI 2.0 is designed to be owned, shaped, and governed by the many, not the few.

Sustainable intelligence creation

AGI shouldn’t cost billion-dollar to train and serve.

AGI 2.0 makes intelligence affordable by enabling models to learn during inference, not through endless retraining cycles. This keeps innovation open, competitive and economically accessible.

Ownership and
sovereignty

True empowerment requires true ownership.

AGI 2.0 protects the right to build and fully own your intelligence without feeding it into someone else’s platform.

Adaptive and interoperable intelligence

Intelligence should evolve with you.
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AGI 2.0 replaces static plug-ins and siloed tools with systems that adapt in real time, reason across contexts, and connect to each other seamlessly.

Impact

Why it matters

AGI 1.0 built on scale and static training has reached its limits. Its economics don’t work. Its power is too concentrated. And it leaves most of the world in the role of users, not owners.

‍AGI 2.0 is a course correction.
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It turns intelligence into infrastructure and puts its creation back in their owner's hands. If we get this right, AGI will become the great equaliser of the Intelligence Age, not its gatekeeper.