In modern culture, labels like 'doomer' and 'optimist' are used to describe different outlooks on the future. The article discusses how these labels may be misleading and proposes a two-axis classification: belief in the potential of AI and degree of optimism about people and goodness.
The chart will appear after repeat observations. The current metric comes from the source.
9 source pointsReal observations only. History before source connection is not reconstructed.
The article offers a new classification of future outlooks based on belief in AI and trust in people, which may help better understand societal disagreements.
The text discusses the debate between 'Alignment Engineering' and 'Misalignment Science' in AI alignment research, highlighting concerns that current alignment methods might inadvertently accelerate capabilities development, increasing risks of rapid technological growth. It questions the opportunity costs of focusing on alignment engineering and proposes a shift towards 'Misalignment Science' as a more robust approach.
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3 days ago