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For elite AI researchers, the mission to build AGI is a primary motivator, described as a "quasi-religious enterprise." This suggests labs focusing on this long-term vision, like OpenAI, can attract top talent even from well-funded competitors, as researchers seek the best environment to achieve this ultimate goal.

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Unlike prior tech waves where founders aimed to build companies, many top AI founders are singularly focused on achieving AGI. This unified "North Star" creates a unique tension between long-term research and near-term product goals, leading to unconventional founder and company dynamics.

Peter Steinberger's decision to join OpenAI highlights a key motivator for top AI talent: access to unparalleled resources. Already financially independent, his move was driven by the opportunity to work with cutting-edge compute like Cerebras chips and the latest models.

Naming AI research teams with terms like "AGI" is more about signaling a long-term "north star" and creating "vibes" to attract ambitious talent, rather than reflecting a concrete, step-by-step plan to achieve artificial general intelligence.

Top AI leaders are motivated by a competitive, ego-driven desire to create a god-like intelligence, believing it grants them ultimate power and a form of transcendence. This 'winner-takes-all' mindset leads them to rationalize immense risks to humanity, framing it as an inevitable, thrilling endeavor.

Contrary to the public narrative of AI as a helpful tool, the stated mission of labs like OpenAI is to build AGI that can replace all forms of human cognitive labor. The massive valuations and investments are justified by the goal of total automation, not mere augmentation.

The ultimate goal for companies like OpenAI and Anthropic is not just creating useful products like chatbots, but developing superintelligence—an AI that surpasses human cognitive ability in every domain, akin to the gap between a human and a mouse.

For elite AI researchers who are already wealthy, extravagant salaries are less compelling than a company's mission. Many job changes are driven by misalignments in values or a lack of faith in leadership, not by higher paychecks.

Labs like DeepMind and OpenAI state that building a machine that can do anything a human brain can is their core mission. However, many experts believe the idea is ridiculous, as the path isn't clear. This frames the pursuit as an article of faith rather than a concrete scientific roadmap.

CEO Dario Amodei's hyperbolic warnings about AI's god-like power, while seemingly delusional, resonate deeply with the belief systems of elite AI researchers. This alignment on creating and controlling 'dangerous' technology is a key competitive advantage in attracting top talent.

The CEO of ElevenLabs recounts a negotiation where a research candidate wanted to maximize their cash compensation over three years. Their rationale: they believed AGI would arrive within that timeframe, rendering their own highly specialized job—and potentially all human jobs—obsolete.

Top AI Researchers Prioritize the Pursuit of AGI Over Purely Financial Incentives | RiffOn