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The meteoric rise ofartificial intelligence (AI) has given rise to the need to design suitable methods to assess its capabilities. Traditional tests for gauging machine intelligence are now obsolete in the face of models like OpenAI’s O1 model, which boasts an IQ of around 120 and can solve complex doctoral-level problems. The crucial question then arises: how to measure the intelligence of an AI when it exceeds human capabilities? With artificial brains simulating a trillion neurons, designing the ultimate test becomes a real challenge for humanity. Understanding and framing this revolutionary technology is more urgent than ever, as artificial intelligence continues to redefine the boundaries of our own intelligence.

In a world where artificial intelligence (AI) is advancing at lightning speed, current assessment methods are no longer enough. This article explores the urgent need to create an ultimate test to assess the capabilities of AI, while highlighting the challenges, recent developments and implications of these technological advances. You will also discover how you can contribute to this essential endeavor.
The limits of current tests for artificial intelligence
Traditional tests for assessing AI capabilities, such as the Turing test, are now considered insufficient. Indeed, these methods no longer manage to adequately measure the intelligence of increasingly complex systems. For example, OpenAI’s O1 model has already demonstrated a IQ around 120 and solves doctoral-level problems without difficulty.
Towards an AI more intelligent than humans
One of the major challenges is the simulation of an intelligence that exceeds that of human beings. While a human brain has around a hundred billion neurons, AI systems can simulate up to a trillion neurons, potentially making them smarter than us. How to evaluate an AI that is smarter than us? This question remains without a definitive answer, highlighting the need to develop new evaluation criteria.
AI skills and performance are constantly evolving
Artificial intelligence is constantly improving its algorithms. Therefore, it is crucial to create an ultimate test that can measure not only the current state of AI, but also its future developments. AI specialists are already working on models that make it possible to detect abnormal patterns and to reduce the potential risks associated with the use of these technologies.
The four ethics of artificial intelligence
Evaluating an AI also raises significant ethical issues. Among the main aspects to examine are: the transparency of algorithms, data protection, the impartiality of systems and their societal impact. In developing an ultimate test, these will need to be taken into account. four major ethics to ensure responsible and beneficial use of AI.
The impact of AI on humanity
Understanding and correctly evaluating artificial intelligence is crucial to addressing its impacts on society. Whether in higher education with generative AI or in other fields, a precise and rigorous evaluation will make it possible to control and guide the development of these technologies for the common good.
To read Le gouvernement efface discrètement les preuves de ses accords avec xAI, Google et Microsoft
Contribute to the development of the ultimate test
Experts from all backgrounds are called upon to contribute to the design of this ultimate test. Whether you are a researcher, an AI engineer, or simply someone concerned about the impact of technology on our future, your contribution can be crucial. Together, we could develop a robust assessment that allows us to navigate these uncharted waters with more confidence.
