Just so it’s clear, each subject spent hours training their own AI to recognize seven words they intentionally produced as “inner voice”. At the end, their individually trained AI could only predict those seven words.
That’s quite a bit different than an AI that could recognize new words in a completely different person. I think that’s as unlikely as training ChatGPT using only English texts and then expecting it to understand Chinese.
Was there any reported reduction in training time needed for subsequent words?
Just getting a computer to understand anything from the implanted wires is progress, but it’s “spend hours training for each single word” we’re still at a 1970s scifi level of interaction.
Normally words are all trained together, not one after another. Subjects do a monitored task that includes the entire vocabulary list, data from that task is processed extensively off-line, and finally subjects return to test all the vocabulary words.
Just so it’s clear, each subject spent hours training their own AI to recognize seven words they intentionally produced as “inner voice”. At the end, their individually trained AI could only predict those seven words.
That’s quite a bit different than an AI that could recognize new words in a completely different person. I think that’s as unlikely as training ChatGPT using only English texts and then expecting it to understand Chinese.
Was there any reported reduction in training time needed for subsequent words?
Just getting a computer to understand anything from the implanted wires is progress, but it’s “spend hours training for each single word” we’re still at a 1970s scifi level of interaction.
Normally words are all trained together, not one after another. Subjects do a monitored task that includes the entire vocabulary list, data from that task is processed extensively off-line, and finally subjects return to test all the vocabulary words.
First they built a silicon cube the size of a toaster with a little switch in it that responded to electrical signals.
Now we have billions to trillions of those in our pockets.
Etc.