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The current alignment plan, and how we might improve it | Buck Shlegeris | EAG Bay Area 23

EAG Talks

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Trade-offs and Options for AI Alignment

This chapter explores various trade-offs and options for Magma, an organization with alignment concerns, to operate their AI systems effectively. It discusses reducing AI usage scope, allocating resources elsewhere, using less intelligent models, employing safer but less effective ML techniques, investing in alignment evaluations, checking research thoroughly, and utilizing model intelligence less efficiently.

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