The bottlenecks are rather in the affordances offered by end applications, and in our own minds. Even typing would not be meaningfully faster with a 100% accurate BCI (which is total science-fiction today)
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Personally, I am deeply skeptical of brain-computer interfaces for consumer use cases, because existing physical interfaces such as screens and keyboards do not represent a meaningful bottleneck to our use of technology
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And information intake (orders of magnitude harder to pull off) most definitely couldn't be any faster than plain reading. Our current 5,000 year-old tech is already maxing out our understanding bandwidth. Which is evident in the fact that speed reading simply doesn't work
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If screen + mouse + keyboard is good enough for a 300 APM pro-gamer, it's good enough for you. The friction of physical micro-movement is just not significant compared to the speed at which the mind itself moves
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The mind is a slow beast, with its most basic reactions occurring on a timescale of 100ms. Grasping nontrival abstract concepts requires entire *seconds*
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Recommend any books for starting out in AI and deep learning development? Already learning Python. Thanks!
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https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1491962291?ref=ast_p_ep … This is the best one I've used thus far. Monsieur Chollets book is reccomended with this as well. Though I havent grabbed a copy of that yet.
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There a lot of consumers that are disabled, and also consumers that can’t use normal input for shit
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Definitely worthwhile for disabled people. But that's something entirely different.
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I think language is the bottleneck here. Brain computer interfaces wouldn't encode content in a 1 dimensional sequence of symbols. It would be more like vision.
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We already have visual interfaces to computers. It doesn't have to be "like" vision -- it can be literally vision, an extremely high throughput neural interface that every human has spent years tuning. This is *already a thing*. It's a screen.
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