Teodoro Calonge

Large language models - Artificial Intelligence (AI) systems based on deep learning, such as the generative AI that is ChatGPT - are not as reliable as users expect. This is one of the conclusions of international research published in Nature involving researchers from the Polytechnic University of Valencia. According to the authors, in comparison with the first models and taking into account certain aspects, reliability has worsened in the most recent models, such as GPT-4 with respect to GPT-3.

The President of the Government, Pedro Sánchez, announced last night at the welcome dinner of the GSMA Mobile World Congress (MWC) Barcelona 2024, the construction of a foundational model of artificial intelligence language, trained in Spanish and co-official languages, in open and transparent code, and with the intention of incorporating Latin American countries. For its development, the Government will work with the Barcelona Supercomputing Center and the Spanish Supercomputing Network, together with the Spanish Academy of Language and the Association of Spanish Language Academies.

In a work published in the journal Nature, two researchers from New York University (USA) and Pompeu Fabra University in Barcelona claim to have demonstrated that an artificial neural network can have systematic generalization capabilities similar to human ones, that is, to learn new concepts and combine them with existing ones. This statement calls into question the 35-year-old idea that neural networks are not viable models of the human mind.