A lengthy *New Yorker* investigation published this week quietly dismantles the image Sam Altman has spent years building: that of a tech visionary with a deep understanding of the AI his company produces. According to engineers interviewed for the piece, Altman has little experience with programming or machine learning, something that becomes apparent when he mixes up basic concepts in the field. For anyone following the industry closely, that may not be shocking. Seeing it documented by OpenAI insiders is another matter entirely. Altman dropped out of a Stanford computer science program after two years. On its own, that says nothing about his ability to lead a technology company. The issue, according to the reporting, is the gap between what he projects publicly and what he actually knows technically. The sharpest critique comes from an anonymous source inside Microsoft. A senior executive there told the *New Yorker* there is a small but real chance Altman ends up remembered as a fraudster on the level of Bernie Madoff or Sam Bankman-Fried. It is a heavy comparison, and a deliberate one. What the piece portrays is not necessarily incompetence, but something arguably more concerning: former OpenAI researcher Carroll Wainwright described a pattern in which Altman builds structures that appear to constrain his own power, only to dismantle them when the moment actually arrives. That is the kind of skill that shows up on no technical resume, yet moves billions. OpenAI was recently valued at $852 billion. The question left hanging is whether the AI industry actually needs its top leaders to understand code, or whether the talent for shaping narratives and attracting capital is enough. For now, the market has answered clearly. History has not. Read the full story: https://futurism.com/artificial-intelligence/sam-altman-technical-coding