Nonsense, the reluctance of governments to reduce carbon emissions has been driven by the reluctance for entrenched industries to give up their gravy train. There are many ways for power to be produced with lower carbon emissions, it's absolutely not a binary situation at all.
What nuclear is is a wedge issue that can successfully split the opposition to the fossil fuel industry. People should be incredibly wary of the argument being forced into these positions, its artificial and contrary to the desires of people who want action on climate change who support nuclear and don't.
I understand the article - the point about 'learning' is that if the model and its outputs are a derivative works then the copyright belongs to the human creators of the works it was trained on.
Edit*: Or perhaps put more pseudo legally that the created works infringe on the copyrights of the original human creators.
I think that it's absurd that we've jumped to the conclusion backpropagation in neural networks should be legally treated the same as human learning.
I mean I don't think think I could find a better description for following the derivatives of error in reproducing a set of works as creating a "derivative work".
Actually despite your skepticism Tesla's PR spin has already beaten you.
"but autopilot still lowers the death rate on average"
That's not what they said, they said the death rate was lower than the average. And yet you can't help hearing that it lowered the death rate. I think it's very likely turning on autopilot massively increases the rate of death for Tesla drivers, but they've managed to deflect from that so skilfully.
I don't think it's going to emerge without significant effort to make it happen. I think most of the 'intelligence' we desire will be attainable without sentience. Sentience itself will require a lot of specific research directed at the goal. It's certainly a risk though.
Right there with you on this, love react's rendering model. Redux seems to get all the hype but I'm sort of beginning to suspect it might be mostly the wrong way to do things. It reminds me of TDD, most of the benefits seem to be moral in character rather than concrete.
Scale can be hard to capture in photogrammetry, but in general the unrealness probably has more to do with the somewhat smoothed out (triangulated) surface that doesn't capture too fine a level of detail and the textureless (uncoloured) model they are rendering.
Oh sure it's a particularly human conceit that that number be exactly 1. But it certainly might be that the number is low enough that it will be very very hard for us to ever detect or interact with other life.
"but in comparison it will never fail as often as human do"
Ok I know this is my little cause of the moment, but seriously why are computers apriori better at anything? Sure they don't make poor life choices but they are absolutely at the mercy of the quality of the algorithms, sensors, operating system, training data and physical computational hardware.
Here's a probably equally badly made statistic. Tesla estimates their cars had driven 130 million autopilot miles before the fatality. Some googling suggests the first non-autopilot Tesla S fatality was in july 2014 and this graph ( http://insideevs.com/wp-content/uploads/2015/06/Tesla-Model-... ) suggests that was around 400 million miles driven. So the autopilot is 3.33 times 'worse'?
Who knows, but if Tesla feels they have a moral duty to leave on autopilot if it is safer, they equally have one if it is more dangerous. It seems they are pretty happy to be in dark about which it is while they test their system.
What nuclear is is a wedge issue that can successfully split the opposition to the fossil fuel industry. People should be incredibly wary of the argument being forced into these positions, its artificial and contrary to the desires of people who want action on climate change who support nuclear and don't.