Can AI Crack Secret Languages? New Study Finds Clues
What if AI could understand coded messages or dying languages?
Deep Dive
Because of training data choices, large language models perform best on standard languages that use the Latin alphabet and have many speakers—while other language varieties are disadvantaged. Still, LLMs could be a versatile tool for preserving endangered languages. But can they match human creativity and abstraction when decoding phonetically encoded secret language? A new paper asks exactly that.
Key Points
- AI struggles with languages or spellings outside its training data, like non-Latin alphabets or phonetic shortcuts.
- A small study found AI can partially decode secret languages but isn’t as good as humans yet.
- Improvements could help preserve endangered languages or improve AI communication in niche cases.
Why It Matters
Could unlock tools to revive dying languages, decode ciphers, or improve global communication.