At the technology summit, International Business Machines' David Cox showcased a convincing case for collaborative development in business artificial intelligence. The executive, Vice President of machine learning frameworks and leader at the joint MIT and IBM artificial intelligence laboratory, underscored the crucial nature of openness in technological advancement, particularly in the current AI landscape.
Cox highlighted the nuanced nature of accessibility in machine learning, contesting the two-dimensional understanding of the principle. He observed the expanding network of accessible frameworks from diverse origins, including technology corporations, academic institutions, and nation-states.
However, he expressed reservations about the standard of transparency in numerous Large Language Models, noting that a number of them provide little more than a "bag of numbers" devoid of clarity in their development processes.