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Comment Re: No standing for AI to defend a copyright (Score 2) 45

None of that is the problem here. The problem is that the training sets of all these ML algorithms contain tons of copyrighted images, which might well mean that any image generated by these algorithms is infringing copyrights, e.g. because it replicates a significant part of a copyrighted image in its output.

Comment Re: Was on the BSL labs website (Score 5, Informative) 238

Indeed. Just to be clear, TFA states this:

The theory that SARS-CoV-2 was manufactured in, and escaped from, a lab in Wuhan is based solely on the proximity of infectious-disease labs near a potential source of the COVID-19 outbreak

But in reality it is based on papers that report work on how a bat corona virus might spread to humans and that have authors from Wuhan. For example: https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fwww.nature.com%2Farticle...

Comment Re: Neural computers (Score 1) 107

The energy efficiency is far from certain. People like LeCun argue that the gains in analog neuromorphic Chips are more than offset by the necessary DA and AD conversions unless your entire system is analog (Not likely for now). Related to your programming point, a problem (or feature depending on how you look at it) of analog designs is that every chip is unique, i.e. the same neuron on two chips behaves differently on each. So first, you need to figure out the characteristics of your particular chip. I'm sure that can be overcome and maybe some of the startups you mention have a solution. But the next problem is that you now have some n neurons with their properties baked in hardware. For any actual problem, they are not all going to be useful, so, while you have n neurons in theory, you can only use a fraction of those in practice. This is wasteful and that's a problem. You can of course go for toy problems that are both really simple and really sparse in the sense that they don't require many spikes to solve - e.g. motion detection - so that the neuron doesn't really matter and low energy use is guaranteed - but those applications are limited. Or you can go for a digital architecture, which will take you to e.g. Intel's Loihi. Really neat design, efficient and good for general purposes (though how to program efficiently is still not trivial) but now you're back to digital and have traded in a lot of detail at the neurpn

Comment Re:Brain microphone, not brain speech synthetizer (Score 3, Interesting) 84

Yes, this.

The only thing I would add is that we do know that higher-level cognitive processes re-activate sensorimotor parts of the brain; so thinking the number "nine" might cause some activation similar to hearing that number.

So, assuming they didn't indeed just pick up on some non-neural artifact, this shows that there is potential - at least in the ideal case where we know the signal is as good as it's ever going to get. It's one step in the direction of being able to deal with weaker, noisier versions you might get from reactivation.

But yeah, noone's going to read your thoughts anytime soon.

Comment Re: Yes (Score 1) 476

Treating them like a child is an extremely recent cultural development due to the increased length of education typically required to get a job rather than any actual biological or physiological reason.

There absolutely are biological and physiological reasons - the frontal lobes of the brain (the bits that play a role in rational decision making) are not fully developed until well into the 20s. https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fwww.ncbi.nlm.nih.gov%2Fp...

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