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Scott argues that AI companies' existential-risk warnings are sincere rather than a corporate plot, since independent experts share them, leaders voiced them long before founding companies, and the supposed plot would be self-defeating.
Scott provides a detailed analysis of OpenAI's attempt to convert from nonprofit to for-profit status, including the legal challenges, competing offers, and implications for AI development.
Scott explains why firing bureaucrats wouldn't reduce red tape, as bureaucratic delays come from legal requirements and mandates rather than staff numbers, using the FDA and other examples to illustrate his point.
Scott Alexander summarizes and responds to reader comments on his Elon Musk book review, covering various aspects of Musk's life, work, and personality.
Scott reviews Ashlee Vance's 2015 Elon Musk biography, analyzing Musk's personality, work ethic, and business strategies to understand his successes and controversies.
Scott Alexander critiques Elon Musk's xAI alignment strategy of creating a 'maximally curious' AI, arguing it's both unfeasible and potentially dangerous.
Scott Alexander analyzes prediction markets on Twitter, FTX, effective altruism, and US midterms, discussing their accuracy and exploring the concept of 'scandal markets'.
The post examines prediction markets for Trump's 2024 chances, Musk's Twitter deal, and the impact of the Dobbs decision, while also discussing new forecasting initiatives and other current events.
Scott Alexander reviews recent predictions and forecasts on topics including monkeypox, the Ukraine war, AI development, and US politics.
Scott Alexander examines which US political party has become more extreme faster, concluding Democrats have moved further left on policy since 1994, while results vary for other aspects of extremism.
Scott reviews recent changes in prediction markets covering the Ukraine war, nuclear risk, AI development, and other current events.
Scott Alexander argues that OpenAI's open-source strategy for AI development could be dangerous, potentially risking human extinction if AI progresses rapidly.
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