Knowledge Cutoffs and Gaps

AI models are trained on data up to a certain date, after which they have no knowledge of events. They also have uneven coverage of topics - well-covered topics in training data are handled better than obscure ones. Understanding these limitations helps you know when AI might be unreliable.

Objectives

• Understand what training cutoffs mean in practice
• Recognize topics where AI knowledge may be weak or outdated
• Know when to rely on more current sources
• Appreciate the uneven nature of training data coverage
• Ask AI about its limitations appropriately

Key Takeaways

• Training cutoffs mean AI cannot know about recent events
• AI cannot learn or update from conversations
• Popular, well-documented topics are more reliable than obscure ones
• Information that changes over time requires current sources
• English/Western perspectives are overrepresented in training data