At VB Transform 2024, International Business Machines' Cox delivered a persuasive rationale for collaborative development in corporate machine learning. The speaker, VP of artificial intelligence systems and head at the collaborative research center, emphasized the significance of transparency in innovation, notably in the modern machine learning environment.
David emphasized the nuanced nature of openness in artificial intelligence, questioning the simplistic perception of the idea. He noted the expanding network of accessible frameworks from diverse origins, including technology corporations, academic institutions, and countries.
Nevertheless, he voiced concerns about the quality of openness in various AI language systems, observing that certain models provide little more than a "bag of numbers" without openness in their creation techniques.