The battle for AI leadership is on, with OpenAI in the United States and DeepSeek in China as key contenders. In response to these global trends, the Spanish government has proposed ALIA, a public and transparent AI infrastructure incorporating small language models designed to support Spanish and co-official languages such as Basque. This paper presents the results of Red Teaming sessions, where ten participants applied their expertise and creativity to manually test three of the latest models from these initiatives$\unicode{x2013}$OpenAI o3-mini, DeepSeek R1, and ALIA Salamandra$\unicode{x2013}$focusing on biases and safety concerns. The results, based on 670 conversations, revealed vulnerabilities in all the models under test, with biased or unsafe responses ranging from 29.5% in o3-mini to 50.6% in Salamandra. These findings underscore the persistent challenges in developing reliable and trustworthy AI systems, particularly those intended to support Spanish and Basque languages.

Spain's Prime Minister Pedro Sánchez closed the Spanish Strategy for R&D i in Artificial Intelligence workshop, held in Granada. During his speech, Sánchez highlighted that technologies related to artificial intelligence are already one of the main factors of growth, and hence Spain and Europe have to make a joint effort to move forward on this important line for social and economic progress. Pedro Sánchez explained that the document presented on Monday is the first step in drawing up the National Strategy on Artificial Intelligence, which 11 ministerial departments will work on and which will be ready later this year. Sánchez stressed the importance of science, innovation and universities for the present and future of the country. In this regard, he highlighted the creation of a specific ministerial department for these fields, the approval of a fundamental Royal Decree-Law to make the functioning of scientific bodies more flexible and the strengthening of equal opportunities, as well as the approval, last Friday, of the Research Personnel Statute on Training, the stabilisation of 1,500 temporary positions on public research bodies, which account for 10% of the total research workforce.