In recent years it has become fashionable to say that a technology is open source. Many companies use it as a seal of transparency, innovation or even ethics. But from the AURA Methodology, we have detected a growing risk: 227);box-sizing:border-box;margin:0px;padding:0px;">not everything presented as open source is in the same way, and confusion can cost us the independence of our own business.
To understand why this is critical to your business, you need to start with the basics.
Open source means that the code of a program is public and that anyone can:
- Study it.
- Modify it
- Redistribute it.
- Use it to create new projects.
This principle is based on a powerful idea: technological knowledge must be able to be shared and improved collectively without hidden barriers.
The formal definition comes from the Open Source Initiative (OSI). For a project to really be open source, must meet strict criteria, such as:
- The source code must be fully available.
- The license must allow the program to be modified freely.
- It cannot discriminate against people or fields of activity (it cannot prohibit commercial uses or restrict who uses it).
The key point for AURA: If a license limits who can use the program or for what, no longer meets the definition of open source. And if it is not truly open source, you are assuming a dependency on an external provider, something that our methodology seeks to avoid at all costs.
Why is this vital for your digital sovereignty?
In the phase U (Strategic Use) of the AURA methodology, we prioritize the client technology independence. When a technology is truly open:
- Don't depend of a single supplier who can change the rules tomorrow.
- Pots audit how it actually works (crucial for data security).
- Pots adapt it to the specific needs of your workflow, not the other way around.
- You keep the full control over your data, avoiding black boxes.
This isn't just theory; it is the foundation for building robust digital infrastructures, as we have historically done on the Internet and in scientific software.
The new challenge in Artificial Intelligence
With the advent of large AI models, the term open source has been diluted. Some companies publish only the "weights" of the trained model, but hide the code or training data. Others allow use, but with licenses that prohibit you from competing with them or using the model in certain sectors.
New terms have emerged that must be carefully distinguished:
- Open weights: Only the weights of the model (the "brain" already done) are published, but you don't know how it was built and you can't modify its base architecture.
- Source available: You can see the code, but the license limits your use (eg commercial prohibitions).
- Models with restrictive licenses: These seem open, but have legal or technical "chains".
These variants can be useful in very specific contexts, but do not offer the guarantees of sovereignty and control that the methodology requires AURA.
The AURA Posture: Transparency and Real Control
Why do we insist so much on this difference? Because our number one guarantee is Safety and Responsibility.
If we implement an AI for your business based on a fake open source:
- You may be blocked if the provider changes the license.
- You will not be able to audit whether the model has biases or security vulnerabilities.
- You will lose the ability to adapt the tool as your business evolves (Phase A of Continuous Adaptation).
Understand the difference between open weights and open source real is not a technical quirk. It is the first step to ensuring that your investment in AI is sustainable, secure and truly yours.
A AURA, we don't experiment with your infrastructure. We choose technologies that give you the steering wheel, not tie you to someone else's co-pilot seat.
What does it really mean for an artificial intelligence to be open to to your business? It means having the freedom to grow without permission. And that's exactly what we help you achieve.
