At VB Transform 2024, IBM's Cox presented a persuasive argument for collaborative development in corporate artificial intelligence. The speaker, VP of artificial intelligence systems and head at the collaborative research center, emphasized the significance of transparency in tech progress, notably in the current machine learning environment.
Cox highlighted the complex character of accessibility in AI, challenging the binary perception of the idea. He noted the expanding community of transparent systems from various sources, 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 set of numerical values devoid of openness in their creation techniques.