At VB Transform 2024, International Business Machines' David Cox delivered a convincing rationale for transparent advancement in enterprise artificial intelligence. The speaker, Vice President of AI models and director at the MIT-IBM Watson AI Lab, emphasized the importance of openness in technological advancement, particularly in the current machine learning environment.
David emphasized the multifaceted essence of accessibility in machine learning, contesting the two-dimensional perception of the idea. He noted the expanding network of accessible frameworks from diverse origins, including tech giants, universities, and nation-states.
Nonetheless, he articulated worries about the nature of openness in many AI language systems, pointing out that certain models offer barely more than a "bag of numbers" devoid of openness in their development processes.