At VB Transform 2024, IBM's Cox showcased a compelling argument for transparent advancement in corporate artificial intelligence. The speaker, Vice President of AI models and director at the collaborative research center, emphasized the significance of collaboration in technological advancement, especially in the modern artificial intelligence ecosystem.
David highlighted the nuanced character of transparency in machine learning, challenging the binary view of the idea. He noted the expanding community of transparent systems from multiple providers, including tech giants, universities, and nation-states.
However, he expressed concerns about the quality of openness in many Large Language Models, noting that some deliver little more than a "bag of numbers" without openness in their creation techniques.