The Core Idea What if we could test whether language models truly understand meaning, rather than just matching patterns? Here's a simple thought experiment: 1. Create two artificial languages (A and B) that bijectively map to the same set of basic concepts R' 2. Ensure these languages are designed independently...
The Core Idea What if we could test whether language models truly understand meaning, rather than just matching patterns? Here's a simple thought experiment: 1. Create two artificial languages (A and B) that bijectively map to the same set of basic concepts R' 2. Ensure these languages are designed independently...
What if we could test whether language models truly understand meaning, rather than just matching patterns? Here's a simple thought experiment:
If successful, this would suggest the model has learned to understand the underlying meanings, not just statistical patterns between languages. Theoretically, if Language A and Language B each form true mappings (MA and MB) to the same concept space R', then the model should be able to perform translation through the composition MA·MB^(-1), effectively... (read 332 more words →)
What if we could test whether language models truly understand meaning, rather than just matching patterns? Here's a simple thought experiment:
If successful, this would suggest the model has learned to understand the underlying meanings, not just statistical patterns between languages. Theoretically, if Language A and Language B each form true mappings (MA and MB) to the same concept space R', then the model should be able to perform translation through the composition MA·MB^(-1), effectively... (read 332 more words →)