AI/ML in the News - Highlights 11 Apr 2025

This week, we identified 21 articles about AI/ML that are worth considering, selecting the most interesting and relevant for you. The key focus is on the development of AI models that can demonstrate fluid intelligence and reasoning capabilities, as exemplified by François Chollet’s ARC-AGI test. This development has significant implications for university lecturers, administrators, and students, as it challenges our understanding of AI’s current capabilities and potential future impact on education and various fields of study.

Only one article to highlight this week.

Wong (2025):

• reports the ARC-AGI test developed by François Chollet to measure AI models’ fluid intelligence and reasoning capabilities. This test is relevant to AI/ML development as it challenges the notion of AI’s current capabilities and pushes for more advanced reasoning abilities in AI models.
• the test finds that OpenAI’s o3 model achieves 87% on the original ARC-AGI test, surpassing human performance. This breakthrough is significant as it demonstrates progress in AI reasoning capabilities, potentially bringing the industry closer to artificial general intelligence (AGI).
• highlights the debate around defining and measuring artificial general intelligence (AGI). This discussion is crucial for understanding the ethical and societal implications of AI development, as well as the potential need for regulation in the field.
• explores the challenges of measuring human-like intelligence in AI systems. This issue is relevant to the broader discussion of AI’s impact on society and how we evaluate AI capabilities in comparison to human cognition.

The development of AI models with improved reasoning capabilities, as demonstrated by the ARC-AGI test, represents a significant step forward in AI research. However, it also raises important questions about how we define and measure intelligence, both artificial and human. As AI continues to advance, it becomes increasingly crucial for educators, including those in marketing, to prepare students for a future where AI may play a more prominent role in complex decision-making processes while also fostering critical thinking skills and ethical considerations surrounding AI use.

1. For marketing educators, the development of more advanced AI reasoning capabilities (Wong 2025) suggests a need to prepare students for a future where AI may play an increasingly significant role in complex decision-making processes. This could involve integrating AI-assisted marketing strategies into curricula and exploring how fluid intelligence in AI might impact marketing analytics and consumer behavior predictions.

2. The challenges in defining and measuring AGI (Wong 2025) highlight the importance of teaching critical thinking skills to students. Marketing educators should encourage students to question and evaluate AI capabilities critically, understanding both the potential and limitations of AI in marketing applications.

3. The ethical considerations surrounding AI development and its comparison to human intelligence (Wong 2025) present an opportunity for marketing educators to incorporate discussions on responsible AI use in marketing. This could include exploring the ethical implications of using AI for consumer targeting, personalization, and decision-making in marketing campaigns.

Sources