""the moment you try to breach that boundary of language, you start to run into problems, and that's what people are running into now," says Rohan Kodialam, a former data scientist at Citadel. "If you try to use [generative AI] on a real business application where it's not just about saying stuff but about doing stuff, all of a sudden you are now in a much more difficult spot.""
"The problem helps explain growing skepticism about the global AI boom. Last month an MIT project on "the agentic web" reported that despite up to $40 billion in enterprise investment, 95% of organizations are seeing no return. The study's evidence was thin, but U.S. Census Bureau data does show fewer large companies adopting AI in their operations-the first sustained decline since ChatGPT's 2022 debut."
Chatbots and AI copilots generate fluent text by predicting the next token in language sequences. When generative AI must operate beyond language to perform real business actions, reliability problems emerge. Enterprise investment has surged, yet many organizations see little return; an MIT project reported that despite up to $40 billion in enterprise investment, 95% of organizations are seeing no return, and U.S. Census Bureau data shows fewer large companies adopting AI, marking the first sustained decline since ChatGPT's 2022 debut. Sphinx, founded by Rohan Kodialam and Jamie Bloxham, raised a $9.5 million seed to build data-focused AI copilots for data scientists.
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