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Interesting that DeepMind is working on a IQ-like test to measure abstract reasoning capabilities. I've been working on a very similar benchmark for the past 6 months (taking a more formal approach). Good to see more action in that space (cc @ChrSzegedy)https://deepmind.com/blog/measuring-abstract-reasoning/ …
The format of the problems looks extremely similar, but the content not so much. The very fact that NNs seem to do well on DeepMind's benchmark seem to indicate that it does not achieve its goal of measuring abstract reasoning, and can be solved through simple pattern recognition
My tests are based on colorful little matrices like these. I expect to release the full dataset and associated paper by the end of 2018. Should have happened much earlier, but Keras development is taking up a lot of my time.pic.twitter.com/mPjxgB1TFW
For more context about why we need such a benchmark, see my talk at RAAIS 2018 (e.g. 13:18):https://www.youtube.com/watch?v=2L2u303FAs8&list=PLht6tyws1YpSOGz2k6bUC1PibVG7ZiRFB&index=6&t=0s …
it's about time to go beyond Turing test
But has the Turing test been truly passed _beyond controversy_ (I'm not sure if that's even possible)? I'm not saying that going beyond it isn't beneficial (definitions of AI & thinking has changed since Turing's time). I just think that the test will remain useful for a while.
Yes, it looks similar to your earlier ideas, you explained to me a few months back.
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