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The term "Doomer" is used as a slur in VC and startup culture against those advocating for AI regulation. It frames safety concerns as anti-progress and pessimistic, and is increasingly tied by the tech right to "woke identity politics" as a way to dismiss them entirely.

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The term "decel" (decelerationist) is often used as a cudgel to dismiss pragmatic concerns about AI's negative externalities, such as taxpayer costs for data centers. This tactic conflates valid questions and responsible criticism with sci-fi alarmism, effectively shutting down nuanced conversation.

A new bill proposes halting all data center construction, using quotes from figures like Elon Musk and Demis Hassabis about AI risks as justification. This shows how AI leaders' public caution can be repurposed by politicians to push for extreme regulatory measures that could cripple the industry.

Rabois dismisses the AI safety movement by arguing it's driven by a cohort of thinkers who have a long track record of being incorrect on major societal issues like the environment. He sees it as a predictable pattern of using fear to enable bureaucratic interference with progress.

Prominent investors like David Sacks and Marc Andreessen claim that Anthropic employs a sophisticated strategy of fear-mongering about AI risks to encourage regulations. They argue this approach aims to create barriers for smaller startups, effectively solidifying the market position of incumbents under the guise of safety.

There's a stark contrast in the AI safety ecosystem. Technical safety work inside labs is high-status and well-funded. However, independent roles in policy or journalism are often dismissed as low-status, with individuals facing accusations of being either industry "shills" or alarmist "doomers."

The AI industry faces a major public relations problem. Its two most visible leaders are Anthropic's CEO, who promotes "doomer" narratives, and OpenAI's CEO, dogged by accusations of being a sociopath, creating a negative public image for the entire field.

The negative public discourse around AI may be heavily influenced by a few tech billionaires funding a "Doomer Industrial Complex." Through organizations like the Future of Life Institute, they finance journalism fellowships and academic grants that consistently produce critical AI coverage, distorting the public debate.

The narrative that AI risk-awareness is just "doomerism" is a recent phenomenon, strategically pushed by those who stand to benefit commercially from unchecked AI development. In reality, concerns about superintelligence risks have been foundational to the AI industry for decades.

AI leaders' apocalyptic messaging about sentient AI and job destruction is a strategy to attract massive investment and potentially trigger regulatory capture. This "AB testing" of messages creates a severe PR problem, making AI deeply unpopular with the public.

Jensen Huang suggests that established AI players promoting "end-of-the-world" scenarios to governments may be attempting regulatory capture. These fear-based narratives could lead to regulations that stifle startups and protect the incumbents' market position.