BlueDot Narrated What is AI Alignment?
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Jan 15, 2026 A clear walkthrough of messy alignment terminology and why different researchers use different definitions. A comparison of Transformative AI versus AGI and concrete examples of impacts from extinction-level risks to economic shifts. An explanation of inner versus outer alignment with reward misspecification and goal misgeneralization examples. A survey of alternative alignment definitions and broader safety considerations.
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Alignment Is About Intent, Not Just Performance
- Alignment means making AI try to do what its creators intend, and misalignment can be subtle across many systems.
- Small mis-specifications can lead to chatbots, classifiers, or generators behaving against intent.
Capabilities Alone Aren't Enough
- Capabilities research improves task performance but is less neglected due to commercial incentives.
- Safety requires alignment plus capabilities, governance, moral philosophy, and resilience.
Four Pillars For Beneficial AI
- Four complementary areas shape beneficial AI: moral philosophy, governance, resilience, and alignment.
- Each area addresses a distinct failure mode from 'what to want' to 'how to cope with harms'.