At VB Transform 2024, IBM's David Cox delivered a compelling argument for transparent advancement in enterprise machine learning. The executive, Vice President of AI models and head at the MIT-IBM Watson AI Lab, stressed the crucial nature of openness in technological advancement, especially in the present artificial intelligence ecosystem.
The IBM executive pointed out the complex essence of accessibility in AI, challenging the binary view of the concept. He pointed out the growing ecosystem of open models from various sources, including tech giants, research centers, and governments.
Nonetheless, he articulated worries about the nature of transparency in many Large Language Models, noting that a number of them deliver barely more than a collection of data points without transparency in their production methods.