Description
A talk given to the "Directorate of Innovation and Knowledge Transfer" analyzed the convergence of artificial intelligence and advanced automation systems as catalysts of the Fourth Industrial Revolution, with particular focus on how foundation models and general-purpose AI technologies fundamentally restructured global production networks and labor markets. The discussion examined the political economy of AI development, including the concentration of computational capital among major technology firms, emerging tensions between state actors and private enterprises over AI governance, and the geopolitical implications of machine learning infrastructure design, implementation, distribution, and ownership. Through analysis of technical components like foundation models, robotics integration, and industrial IoT systems, the talk explored how the democratization of AI capabilities could either exacerbate existing power asymmetries or create opportunities for more distributed forms of technological development, while considering critical policy mechanisms needed to ensure equitable distribution of AI-driven productivity gains.Keywords: foundation models, large language models, transformer architectures, industrial IoT, edge computing, distributed systems, machine learning infrastructure, computational capital, general-purpose AI, human-computer interaction, MLOps, Industry 4.0, cyber-physical systems, automated reasoning, neural networks, reinforcement learning, cloud computing, high-performance computing (HPC)
| Period | 25 Nov 2024 |
|---|---|
| Held at | Benemerita Universidad Autonoma de Puebla, Mexico |
| Degree of Recognition | International |