![]() ![]() My new favorite use case for GPT-4 is to ask it to summarize in the style of. I believe the more open-minded uncertain attitude of Russ is the wiser one for now. So, while it makes a lot of sense to point to clear benefits in a variety of areas which AI will bring, I do not think those more uncertain as to where all this is leading can be cancelled or dismissed so easily. Those who are sounding drastic warnings are not ‘apocalyptic eschatologists’ but people at the forefront of AI development and scientific research in various areas. ![]() There are after all so many possible scenarios almost all of which are not considered and certainly are not ruled out in this conversation. So, too the impressiveness of Andreesen’s knowledge seems to have an underlying limitation regarding the question of the future effect of AI developments on humanity. ![]() Russ also suggests though that there is something a bit single-minded in making Intelligence the single supreme value in understanding what is good for humanity. As Russ says in the conversation Marc Andreesen is a very smart person. ![]()
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![]() ![]() PCA is based on the concept of feature extraction, which says that when the data in a higher dimensional space is mapped to the one in lower dimensional space, the variance of the latter should be maximum. PCA or Principal Component Analysis helps in removing those dimensions from the dataset that do not help in optimizing the results thereby creating a smaller and simpler dataset with most of the original and useful information. To do this, we use a dimension reduction algorithm called PCA. Thus, it becomes important to eliminate such features from the dataset. ![]() ![]() However, not all of them contribute to giving an efficient output and simply cause the ML Model to perform poorly because of the increased size and complexity. Any dataset used in Machine Learning algorithms may have a number of dimensions. ![]() ![]() To name a few – incorrect coordinate system setings, incorrectly marked gcp postions, incorrect 3D position for just one or a few of GCPs. On the other hand if you did not see the “Unknown camera data” window pop up, then this warning indicates, that the results might not be optimal. If after image import software asked you for camera sensor width, it is possible that just the value provided was not accurate enough: The initial focal length value was either loaded from our database (in case you use photos from a drone like for example Phantom, Mavic, Yuneec or Parrot, or a handheld camera that is in our system) or calculated from sensor width data that the software asked you to provide (in case you use photos from a mobile phone, or a camera that is not yet in our system) ![]() This tells us that optimized focal length differs significantly from initial value. ![]() ![]() ![]() ![]() She defeats Motaro and in a rage brings down Kahn. After learning of these events, Sheeva turns on her master. ![]() Kahn now favors Motaro's race of centurions and aids them in defeating the Shokan. 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She becomes suspicious of Shao Kahn's loyalty toward her race of Shokan when he places Motaro as the head of his extermination squads. Sheeva was hand picked by Shao Kahn to serve as Sindel's personal protector. ![]() ![]() But its nice to have things at least roughly make sense in your head canon, and not have your favourite character or plotlines be erased - its rather "they haven't met them yet" or "they live on a different island" etc. There will never be perfect answers for everything, and I don't think even the most obsessive of fans need that. ![]() Right here as I'm typing I've got a bunch of full Sonic novels (written books, not graphic novels!), and a run of the Fleetway comics, which have my favourite origin for Robotnik, a Chaotix based Archie special, some IDW.) Every one of them is "Sonic's backstory" to somebody who grew up with them. also manga) and multiple runs of alternate universe tv shows. 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