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are we f**k'd

Kevin discusses the latest developments in AI, including OpenAI's financial projections, model compression, and the advancements in humanoid robotics, alongside broader market insights on real estate and investment strategies.

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The digest

The artificial intelligence landscape is evolving at an unprecedented pace, with major players like OpenAI projecting massive expenditures and groundbreaking advancements in robotics. This rapid development is not without its complexities, as the financial sustainability of leading AI firms comes into question, and the implications for various sectors, from chip manufacturing to real estate, become increasingly apparent.

OpenAI's Ambitious (and Costly) Vision

OpenAI, a frontrunner in AI development, has revealed staggering financial projections, anticipating a burn of approximately $280 billion by 2030. This figure is particularly striking given their projected revenue of $840 billion between now and 2030. The discrepancy highlights an aggressive investment strategy aimed at expanding computing power, with expenses far outstripping immediate revenues. This substantial spending underscores the intense competition and the high cost of innovation in the AI space. While OpenAI expects to generate significant revenue, the sheer scale of their investment suggests a long road to profitability, raising questions about the sustainability of such models and the potential for market euphoria to wane.

This aggressive spending by OpenAI, coupled with similar trends seen in companies like Anthropic, suggests a period of intense capital expenditure across the AI industry. The delay of Anthropic's IPO, for instance, points to a cautious market sentiment, where investors are scrutinizing the long-term viability of these ventures. The current environment is not one of unbridled euphoria, but rather a more measured approach, where companies are signing deals for future compute power without immediate plans for financing. This

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