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Solving eye-tracking keyboards is not so much a task for a company with eye-tracking expertise but for one with expertise in large language models.



Please elaborate.


It is easy to detect what people are looking at. Solved problem. It’s difficult to effectively use such a low—bandwidth signal, and that’s where LLM come in. You need an LLM to anticipate what the user wants to say. An LLM fine-tuned on the user’s needs may have sufficiently low entropy that the small number of bits/s you’re getting from the eye-tracker can reliably identify the intended message.




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