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Neuralink looks to the public to solve a seemingly impossible problem (www.cbc.ca)

submitted 3 months ago by [email protected] to c/[email protected]

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Elon Musk's quest to wirelessly connect human brains with machines has run into a seemingly impossible obstacle, experts say. The company is now asking the public for help finding a solution.

Musk's startup Neuralink, which is in the early stages of testing in human subjects, is pitched as a brain implant that will let people control computers and other devices using their thoughts. Some of Musk's predictions for the technology include letting paralyzed people "walk again and use their arms normally."

Turning brain signals into computer inputs means transmitting a lot of data very quickly. A problem for Neuralink is that the implant generates about 200 times more brain data per second than it can currently wirelessly transmit. Now, the company is seeking a new algorithm that can transmit this data in a smaller package — a process called compression — through a public challenge.

As a barebones web page announcing the Neuralink Compression Challenge posted on Thursday explains, "[greater than] 200x compression is needed." The winning solution must also run in real time, and at low power.

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[–] [email protected] 2 points 3 months ago (1 children)

just have to tell them the prompt, along with a few variables

Before you can do that, you have to spend hours of computation to figure out a prompt and a set of variables that perfectly match the picture you want to transmit.

[–] [email protected] 1 points 3 months ago

Sure, but this is just a more visual example of how compression using an ML model can work.

The time you spend reworking the prompt, or tweaking the steps/cfg/etc. is outside of the scope of this example.

And if we're really talking about creating a good pic it helps to use tools like control net/inpainting/etc... which could still be communicated to the receiving machine, but then you're starting to lose out on some of the compression by a factor of about 1KB for every additional additional time you need to run the model to get the correct picture.