| > Back then it would have included chess, checkers and other games that were researched for their potential to lead to AI. 20 years ago (2002) Deep Blue had beating reigning world chess champion Kasparaov was old news. Unsolved problems were things like unconstrained speech-to-text, image understanding, open question answering on text etc. Playing video games wasn't a problem that was even being considered. I was working in an adjacent field at the time, and at that point it was unclear if any of these would ever be solved. > In the end they all fell to specific methods that did not provide general progress. In the end they all fell to deep neural networks, with basically all progress being made since the 2014 ImageNet revolution where it was proven possible to train deep networks on GPUs. Now, all these things are possible with the same NN architecture (Transformers), and in a few cases these are done in the same NN (eg DALL-E 2 both understands images and text. It's possible to extract parts of the trained NN and get human-level performance on both image and text understanding tasks). > While the current progress on image related problems is great, if it does not lead to general advances then an AI winter will follow. "current progress on image related problems is great" - it's much more broad than that. "if it does not lead to general advances" - it has. |