OpenAI’s new Astra model
The artificial intelligence (AI) company OpenAI has unveiled GPT-6 Astra, “the world’s smartest and best-aligned model”, according to the company. The new model will use a technique known as ‘opaque recurrence’, which allows it to operate outside the sequential thinking of most reasoning models and which is causing concern amongst AI safety experts due to the possibility that the model’s thought process may be more difficult to monitor.
Josep Curto - Astra OpenAI EN
Josep Curto
Academic Director of the Master's Degree in Business Intelligence and Big Data at the Open University of Catalonia (UOC) and Adjunct Professor at IE Business School
From a market perspective, the announcement of OpenAI’s Astra model appears to be a technical milestone – one that has yet to be fully validated – but, above all, a significant governance challenge. What is worrying for society is not only the scale of its capabilities, but the intrinsic opacity of its inference processes, which in this new version becomes even more opaque. When a model’s traceability is limited, data-driven decision-making loses a fundamental pillar: the ability to audit how the system weights variables and validates its intermediate hypotheses.
This is made all the more concerning in light of the incident that occurred this summer, which should serve as a warning regarding these organisations’ actual capabilities in terms of the security and reliability of these systems.
This lack of explainability has direct implications for AI security. Without a clear understanding of the model’s internal architecture and reasoning, it is extremely difficult to ensure the mitigation of bias, prevent complex hallucinations, or protect the system against vulnerabilities and adversarial attacks.
The widespread adoption of systems with this level of ‘black box’ complexity demands a paradigm shift; the launch of Astra must urgently drive the introduction of more rigorous regulatory frameworks and risk audits to protect both organisations and the public.
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Pablo Haya Coll
Researcher at the Computer Linguistics Laboratory of the Autonomous University of Madrid (UAM) and director of Business & Language Analytics (BLA) of the Institute of Knowledge Engineering (IIC)
The launch of GPT-6 Astra has taken the AI community by surprise because it represents a significant leap forward compared to its competitors, clearly positioning it as the model that performs best in controlled evaluations. At the same time, it presents society and businesses with a challenge regarding the governance of these models, given that, although the company insists it has made significant efforts to improve alignment, the new techniques being applied may limit the explainability of the model’s behaviour. Added to this is the fact that some of its most sensitive capabilities are beginning to be subject to restricted access and accreditation, which may clash with European sovereignty. If we add to this cybersecurity incidents, such as the one recently suffered by Hugging Face, we can see that the governance of this type of model leaves room for improvement and is far from straightforward.
