Yes, we will keep making progress in AI. There's two parts to the success of any machine learning program (like the stuff Daphne Koller is working on mentioned

Yes, we will keep making progress in AI. There's two parts to the success of any machine learning program (like the stuff Daphne Koller is working on mentioned in the article). Your algorithm, and your data. To paraphrase Peter Norvig: "Ten times more data will beat any algorithmic improvement." http://glinden.blogspot.com/2006/10/advantages-of-big-data-and-big.html http://glinden.blogspot.com/2006/10/advantages-of-big-data-a... With the rise of the internet, more and more data will be online. Even if we can't figure out smarter ways of analyzing this data, we will at least keep getting more of it. Here's a thought experiment. What if you had a really large dataset of chat logs, so large that any sequence of 1000 words, you could find it somewhere in the logs. Then you just wrote a chat bot that 1. Looked up the history of the chat in its logs 2. Said whatever the person in the logs said next 3. Once you got to 1000 words it said "Gotta go, talk to you later!" Seems like that could pass the Turing test to me. Of course since there are about a million English words you would need on the order of 1000000 ^ 1000 = a googol^60 items in your data set. ;-)