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6min chapter
A call to action for OpenAI and others: We need to research Full Autonomy RIGHT NOW - Reduce X-Risk
Artificial Intelligence Masterclass
Exploring Full Autonomy in AI: Key Criteria and Challenges
This chapter explores the vital requirements for achieving full autonomy in AI systems, focusing on traits such as self-direction, self-correction, and self-improvement. It critiques current industry approaches and addresses the associated risks of enhanced AI intelligence, stressing the need for safe and ethical advancements.
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highlights
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