Autor/es reacciones

Mikel Galar

Lecturer in the Department of Computer Science and Artificial Intelligence at the Public University of Navarra

What I’m seeing with Astra strikes me as truly impressive. Even working in the field of artificial intelligence, the progress being made in such a short space of time is astonishing. Personally, I think we need to set aside the debate over whether this constitutes general artificial intelligence or not. I believe it has a strong commercial element at the moment. That said, we mustn’t fail to recognise the importance of these advances.

I think we should highlight this new model’s ability to use a computer: it can run programmes, browse the web and complete multi-step tasks. Impressive examples of video game creation and 3D modelling are rapidly emerging. Obviously, these are demonstrations and do not guarantee that it will work the same way in every situation, but my impression is that the transformation in the world of software development is gathering pace.

The results in ARC-AGI-3 are also highly significant. These are small video games unknown to the system, where it must discover the rules to solve them. Astra achieves a virtually perfect score (99.9 per cent) when using a specific configuration that preserves its reasoning and manages the context. With a standard configuration, it achieves 62.7 per cent, more than double the 30.2 per cent published for Claude Opus 5. This does not mean that AGI has been achieved, but it does demonstrate significant progress in complex reasoning and in the systems’ ability and efficiency to learn new tasks on their own.

These results once again highlight the saturation of certain benchmarks and the need to develop more demanding tests. Furthermore, the difference between configurations demonstrates that how the complete system is built matters: the model, the tools and context management. I believe we continue to talk about models, but in reality we are increasingly working with complex systems that combine these elements, and where advances are not only scientific but also engineering-based to ensure this orchestration works.

The new capabilities of this model (and those yet to come) mean we must remain vigilant, particularly in the field of cybersecurity. They can help to fix vulnerabilities, but they can also facilitate attacks. Public authorities and companies providing essential services must prepare for this change. Automation can make it feasible to find and exploit vulnerabilities that previously required a great deal of time and specialist knowledge. At European level, it is important that we address these risks without being left behind in the development or use of this technology. Access to the best systems and the know-how to make the most of them can make a significant difference.

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