AlexNet came and blown everything out of the water. Then you can reflect how much [a lot] progress there has been since 2012 till now just on this little dataset.<p>o3 beating ARC is such a harder dataset, I don't even want to compare them. So how much progress there will be from just this?<p>Next 10 years gonna be bonkers.
For others who don't know what the "ImageNet 2012 moment" references:<p>"The aforementioned major breakthrough, the 2012 ImageNet Large Scale Visual Recognition Challenge (ILSVRC), was a defining moment for the use of deep neural nets for image recognition. A convolutional neural network (CNN) designed by Alex Krizhevsky, published with Ilya Sutskever and Krizhevsky’s PhD advisor Hinton, halved the existing error rate on Imagenet visual recognition to 15.3 percent. The CNN was dubbed “AlexNet.”<p>From: <a href="https://medium.com/neuralmagic/2012-a-breakthrough-year-for-deep-learning-2a31a6796e73" rel="nofollow">https://medium.com/neuralmagic/2012-a-breakthrough-year-for-...</a>