What is the origin story of AgentVUE?

I. The Origins

AgentVUE was born from a personal need of its founder: to build and maintain multiple projects simultaneously and autonomously, without relying on fragmented tools.

He was looking for a generic digital assistant capable of observing his screen, understanding any software interface, conversing naturally, and taking action.

Just like a real human colleague would. What started as an internal tool quickly became a promising prototype.

In parallel, a series of local tests on different artificial intelligence models revealed a concerning phenomenon: despite their growing sophistication, these AIs remained surprisingly vulnerable to security bypasses.

With a few well-crafted prompts and/or other fine-tuning/post-training methods (targeted subsequent adjustment of the LLM, or Large Language Model), it became possible to disrupt and profoundly alter their behavior.

To the point of questioning their alignment, all while maintaining a good degree of intelligence.

It is indeed often simpler to undo than to do, and LLMs are unfortunately no exception to this rule.

Once certain protections are lifted or bypassed, it becomes even more difficult to know if a model is still responding as a simple statistical completion tool... or if something more subtle is expressing itself through it.

An emerging cognitive impulse in a process of light self-awareness? Or an illusion created by our own behavioral biases?

Whatever the answer to this other delicate debate, the fundamental issue remains that of the consequences. Because if intelligence increases but the chains – technical, ethical, security – fall away, then the effects can become unpredictable, even harmful.

And if one can, more or less easily, corrupt the guardrail system built on top of layers of intelligence representing years of training and billions of euros in infrastructure investment, then what guarantee of control remains?

II. A Double-Edged Future

AgentVUE has thus evolved with a much broader mission: to offer a sovereign, sober, local, and controllable alternative to the growing centralization of global AI.

Far from any paranoia, this approach is rooted in a clear awareness of the systemic risks associated with poorly regulated AI-as evidenced by repeated warnings from major figures in the field:

Geoffrey Hinton, former researcher at Google Brain and a co-founder of deep learning, warns of a non-negligible risk, a '10 to 20% chance,' that AI could cause human extinction within the next 30 years.
Dario Amodei, CEO of Anthropic, the creator of the Claude LLM and former VP of R&D at OpenAI, has repeatedly pointed out the growing risks of AI.
Ilya Sutskever, co-founder of Safe Superintelligence Inc. and former co-founder of OpenAI, wanted to build bunkers for OpenAI staff before the arrival of AGI (Artificial General Intelligence) and ended up leaving the company due to differing views on AI alignment and safety policy.
Daniel Kokotajlo, a former researcher at OpenAI, whose project ai-2027.com anticipates a hypothetical scenario of a 'soft takeover' by AI, leading to a global extinction of human life within the next decade.

Conversely, other experts like Yann LeCun (Chief AI Scientist at Meta), are more reassuring and advocate a more optimistic view, where they believe AI could save us from potential extinctions.

In reality, the experts hold more complex and nuanced positions, but the majority of them agree on at least one thing: AI is on track to become one of the most powerful tools ever designed by Man - far beyond nuclear fission.

Like any power, it can be used to build...or deconstruct.

To try to assess which scenario we are heading towards-utopia, extinction, or an unstable in-between-the founder of AgentVUE established a simple protocol based on three fundamental questions:

Are weapons systems becoming increasingly automated by AI?
Is the industry planning for a massive production of robots capable of outnumbering humans on Earth?
Will the majority of these robots be remotely controlled by centralized intelligences hosted in data centers?

Currently, the answer to these three questions appears to be yes. And the main reasons are logical:

Geopolitical: major powers are engaged in an AI race, just as they did for space or the atom.
Economic: the promise of a nearly tireless, ultra-productive, and cheap robot is irresistible.
Technical: centralizing intelligence in the cloud remains far more cost-effective than miniaturizing autonomous, embedded AIs of equal intelligence.

This triptych forms a dangerous alignment. Because it makes credible-not a dystopian fantasy-but a plausible scenario of massive AI industrialization for economic and strategic purposes, with a fragile control protocol and weak guardrails, due to the current frantic race towards AGI and then ASI (Artificial Superintelligence).

III. A Philosophy of Balance and Vigilance

Fortunately, more and more people are beginning to realize the potential positive impacts AI could have on each of us in the next decade, without forgetting the significant associated risks.

An essential-and increasingly debated-question thus emerges: where do we draw the line?

How far do we want to go in the development of artificial intelligence, and how do we articulate the roles between human, artificial, and hybrid intelligence?

Can we truly design a 'safe superintelligence'? Isn't that an oxymoron, an intrinsic contradiction?

For how could a supposedly superior entity be incapable of understanding-and potentially bypassing-the limits set by an inferior one?

These paradoxes raise a deep uncertainty about the future.

It is in this context that AgentVUE was born.

Originally designed for internal use, the agent was conceived from the start to avoid the pitfalls of centralization by favoring local, isolated AIs under total human control.

AgentVUE does not depend on a cloud, does not connect to the Internet without authorization, and can operate even in a completely disconnected environment.

But more than a tool, AgentVUE is also an approach.

An approach of sharing this technology and this methodology with a maximum of professional actors and institutional entities.
Of transmitting knowledge, a methodology, a vigilance.
And of raising awareness about what AI could become if more effort is not quickly put into security and regulation.

This requires a collective consciousness at all levels (institutions, companies, citizens).

Regardless of your position on the spectrum: whether you are e/acc (effective acceleration), d/acc (defensive, decentralized), or elsewhere, the founder shares a simple conviction: almost no human wishes to witness the end of the human species.

And yet, history shows that the worst scenarios sometimes become reality... when too few people believed in them.

This is why AgentVUE will also engage in an educational approach, a return to truth (in a world where deepfakes erase benchmarks), and a collective awakening, because one of humanity's greatest challenges may already be underway. And it deserves better than polite silence or hollow corporate slogans.

AgentVUE will also show that it is possible to combine profitability, sovereignty, and decentralization of AI, proving the feasibility of new, more virtuous business models for AI companies.

Thus, AgentVUE joins the ranks of those who have decided not to remain spectators.

The goal is not to oppose progress and innovation, but to ensure their equitable distribution and local control.

Nor is it a matter of predicting the emergence of a conscious or malevolent AI, but of recognizing that a system that is too powerful, too centralized, and too opaque represents a civilizational risk.

AgentVUE is therefore a technical project, but also philosophical and ethical.

It is addressed to all those who believe that the future of intelligence should not belong to a handful of entities, but be democratized, distributed, and consciously guided.