
Google’s Gemini transparency cut leaves enterprise developers ‘debugging blind’
Subbarao Kambhampati, a professor of computer science in the School of Computing and Augmented Intelligence, part of the Fulton Schools, give his perspective on recent issues in the realms of human-aware artificial intelligence, or AI, systems and related developments in “reasoning” technologies. He weighs in on issues arising as businesses integrate large language models, or LLMs, into exceedingly complex, mission-critical systems, which has sparked debate over how much of the internal workings of such models should be exposed, noting how some trends reflected in these developments have dangerous implications. Those concerns reflect growing caution about the evolving workings of ever-more powerful and complicated reasoning models and increasing access to them.