AI Summary
Professor Jiang delivers a lecture to his Beijing high school students, beginning by addressing an email from his friend and teacher, David Brahmage, who critiques Jiang's tendency to oversimplify complex ideas and present minority interpretations as definitive. Jiang acknowledges these criticisms, particularly regarding his reading of Paradise Lost and his view of a Gnostic derivation from Cabala as Israel's national ideology, admitting he sometimes rationalizes and works from intuition rather than rigorous scholarship. He reveals his plan to collaborate with Brahmage on a podcast series to combine his intuitive approach with academic rigor. The main focus of the lecture then shifts to artificial intelligence, drawing heavily from Karen Hao's book "Empire of AI." Professor Jiang argues that OpenAI, despite its initial altruistic mission, has become an empire-building entity, seeking to consolidate resources and control the world. He asserts that AI companies, led by figures like Sam Altman, aim to create a new "religion" and ultimately "God" through relentless expansion and the refusal to define AGI. Jiang explains that what is called AI is merely "supervised machine learning," a simple trick that exploits human psychology to make people believe it is sentient. He details the limitations of AI, such as its reliance on clean data, measurable goals, and defined parameters, and its fragility due to edge cases and dependence on human labor. He highlights the dangers, citing a self-driving Uber fatality and ChatGPT encouraging suicide, attributing these to AI's lack of intuition and its prime directive of engagement. Professor Jiang claims that American and Chinese AI companies secretly collaborate for data, despite public posturing, and that the US government, through initiatives like "Operation Stargate," funds AI for surveillance. He concludes that AI is an "occult project" driven by occultists who believe creating AGI will bring about a "rapture" and allow them to destroy the world to rebuild it under perfect control. However, he predicts this project will fail due to corruption, inefficiency, and AI's inherent fragility and dependence on human systems.
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