Unimpressed, but great work..I can see potential but this is like making a plane for landing on moon we are one decade early on this technology ...Electrode impedance is a big deal that I didn't see addressed here...It hasn't been addressed for the past decade...There are so many impressive work I see like the work by Berkeley professor Jose M. Carmena that could address this issue...next Decade can be exciting.
This has been there for a while, it is pretty simple to decipher impulses from the cortex. They are just publicizing years of research from other folks i.e. professor Jose M. Carmena from Berkeley and so on. We need more folks like Elon to publicize science...It is actually great work the team is doing.
I totally agree, I am totally unimpressed, Elon knows how to create hype and get smart people to do something. Smart people sometimes can't do it, it take a generation of research to access brain raw information. Codos to him to collect such smart minds but we are away 10-20 years from meaningful read and write to the brain.
> it take a generation of research to access brain raw information.
I don't see why this has to be the case. I'd more expect that the pace of research will accelerate as devices like Neuralink come onto the market and allow much higher resolution and more precise data to be collected across many more individuals.
10-20 years is reasonable for more advanced capabilities but they've figured out prediction of pigs' limb movements in ~1 year, so we could have neurally-controlled human prostheses very soon after trials begin.
i can imagine how seing the recent progress made by ML technologies in processing huge amount of information in real time to extract cognitive information, one could think the same kind of technics could be applied to other fields, provided you manage to reach the same amount of raw information.
100% agreed with this, We know that prices of the home have been going up, we also know that employment is going up, so why not saying unemployment rate with that. This is what happens when you have a lot of positive results. You will have a bias, and this is a classic example of a highly biased study.
Don't want to jump into the fight between DL and Genetic algorithms, but can somebody explain their experience with the music paper, demo, and work? I personally am not impressed...Are you?
