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How difficult is AI alignment? | Anthropic Research Salon

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youtube.com
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Anthropic
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Why it matters

Gives first-hand views from , , interpretability and societal-impact researchers on how model character and safety are approached, useful for anyone building on Claude.

Terms in this piece · Glossary
  • alignment — The work of making AI systems actually pursue what their builders and users intend, rather than something subtly or dangerously different.
  • fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
  • context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
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