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Key Terms in AGI Discussions

A plain-English glossary of the terms you'll meet in debates about general and advanced AI.

Editorial team 1 min read

A quick reference for common terms in AGI discussions.

Capability Terms

  • AGI: AI matching or exceeding humans across a broad range of cognitive tasks; definitions vary.
  • Superintelligence: AI vastly exceeding human abilities in nearly all domains.
  • Frontier model: among the most capable models at a given time.
  • Emergent capabilities: abilities that appear as models scale.
  • Jagged frontier: uneven capabilities, strong in some tasks and weak in others.

Safety Terms

  • Alignment: ensuring AI pursues intended goals and values.
  • Reward hacking: exploiting flaws in an objective.
  • Interpretability: understanding model internals.
  • Scalable oversight: supervising systems that may exceed human ability.
  • Red-teaming: adversarial testing for harms.
  • Control: limiting what a possibly misaligned system can do.

Progress Terms

  • Scaling laws: predictable improvement with more compute, data and parameters.
  • Test-time compute: using more computation when answering to improve results.
  • Recursive self-improvement: AI improving AI.

Governance Terms

  • Safety framework: a company's thresholds and safeguards for capable models.
  • Compute governance: oversight based on the computing resources used to train models.

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