At the VentureBeat conference, IBM's Cox presented a compelling argument for collaborative development in business machine learning. Cox, VP of artificial intelligence systems and leader at the joint MIT and IBM artificial intelligence laboratory, stressed the significance of transparency in tech progress, notably in the modern AI landscape.
Cox highlighted the nuanced nature of accessibility in machine learning, contesting the two-dimensional perception of the idea. He noted the growing ecosystem of open models from multiple providers, including industry leaders, research centers, and countries.
Nevertheless, he expressed concerns about the standard of transparency in numerous Large Language Models, pointing out that a number of them offer barely more than a collection of data points without openness in their creation techniques.