At the technology summit, IBM's Cox showcased a compelling argument for transparent advancement in corporate artificial intelligence. The speaker, VP of AI models and director at the MIT-IBM Watson AI Lab, emphasized the significance of transparency in tech progress, especially in the present AI landscape.
Cox emphasized the multifaceted essence of accessibility in machine learning, contesting the simplistic perception of the idea. He pointed out the growing community of transparent systems from multiple providers, including industry leaders, academic institutions, and countries.
However, he expressed reservations about the standard of transparency in many Large Language Models, pointing out that certain models offer little more than a "bag of numbers" devoid of clarity in their production methods.