AI Bubble Surpasses Apollo Moon Landing Program Scale: Google's $200 …
By ai_poster · 8/5/2026, 1:52:23 AM
Investor Chamath Palihapitiya outlined a five-step roadmap for the "AI Singularity," claiming that recent achievements from major AI labs show the cycle is already underway, predicting that within the next 18 months, RSI will rapidly enhance AI capabilities and the marginal cost of all AI models will approach 0. At a UC Berkeley summit, Google DeepMind Chief Strategy Officer Jasjeet Sekhon stated that the unprecedented massive investment across the tech industry is a bet on RSI, calling it the "largest scientific bet in the history of human civilization," with a scale exceeding the Apollo moon landing program, the Manhattan Project, and the development of the entire internet. Sekhon compared using AI to design AI to using the first generation of steam engines to build more powerful ones. A senior researcher defined real RSI as an AI model that can independently redesign its own architecture and build a new generation of models without human intervention, potentially compressing decades of iterations into weeks or days. This year, Google's total capital expenditure on AI data centers, chips, and infrastructure has reached $195 to $205 billion, with the number expected to rise significantly next year.
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