Why IBM's CEO doesn't think current AI tech can get to AGI (www.theverge.com)

In a recent interview, IBM CEO Arvind Krishna discussed the company's evolution in AI, emphasizing that current technologies are not yet capable of achieving artificial general intelligence (AGI). While acknowledging IBM's past missteps with its Watson supercomputer—particularly in its early focus on healthcare—Krishna highlighted that the foundational technologies pioneered by Watson still hold potential. He believes IBM's shift towards generative AI and the introduction of Watsonx mark a pivotal transition, making AI more modular and accessible for developers to build upon. Krishna expressed optimism about the current state of AI, dismissing concerns of a bubble and likening the landscape to the dot-com boom, suggesting that while many players might falter, the underlying technologies will ultimately prevail. He contended that generative AI offers significant advantages over prior models, enhancing speed and scalability in enterprise environments. However, he cautioned that this shift comes with increased costs, as organizations must invest substantially to harness these technologies, with unclear immediate returns on investment. As IBM continues to pivot towards quantum computing and AI infrastructure, Krishna remains confident in the firm's ability to adapt and thrive in this evolving landscape.