Part 2/5:
The Difficulty of Ensuring AGI Goes Well
Ngo's statement highlights the immense challenge of ensuring that the development of Artificial General Intelligence (AGI) goes well and does not pose existential risks to humanity. He acknowledges the "inherent difficulty of strategizing about the future" and the way the "sheer scale and the prospect of AI can easily amplify people's biases, rationalizations, and tribalism."
Ngo's departure, along with that of his boss, suggests that even those working at the forefront of AI governance and readiness are struggling to find a clear path forward. The stakes are high, and the risks of getting it wrong are potentially catastrophic.
The Shift in AI Development Paradigm
The article also touches on the broader shift in the AI development landscape. OpenAI and others are reportedly seeking new paths to "smart AI" as the current methods of scaling AI models are hitting limitations.
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