At the technology summit, International Business Machines' David Cox showcased a compelling argument for open innovation in business artificial intelligence. The speaker, Vice President of machine learning frameworks and director at the MIT-IBM Watson AI Lab, emphasized the significance of transparency in innovation, notably in the modern machine learning environment.
David emphasized the multifaceted essence of openness in AI, challenging the binary view of the concept. He pointed out the growing ecosystem of open models from various sources, including tech giants, universities, and governments.
Nonetheless, he articulated worries about the nature of transparency in many Large Language Models, pointing out that a number of them offer barely more than a collection of data points without openness in their creation techniques.