At the VentureBeat conference, International Business Machines' David Cox showcased a compelling argument for transparent advancement in enterprise machine learning. Cox, VP of artificial intelligence systems and leader at the joint MIT and IBM artificial intelligence laboratory, stressed the crucial nature of openness in tech progress, especially in the modern artificial intelligence ecosystem.
The IBM executive pointed out the complex essence of accessibility in machine learning, challenging the binary view of the concept. He pointed out the growing ecosystem of open models from various sources, including tech giants, universities, and nation-states.
However, he expressed reservations about the standard of accessibility in numerous LLMs, observing that some provide little more than a "bag of numbers" devoid of openness in their development processes.