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The only real reason to make AGI is if you want to take over the world (or solve other big problems). And if you want, you will not put on your web page - if you are serious. So we will almost never see credible claims on work on AGI, and especially on self-improving superintelligence.
Exception: Schmidhuber
Almost every flying machine innovator was quite public about his goal. And there were a lot of them. Still, a dark horse won.
Here, the situation is quite similar, except that a dark horse victory is not very likely.
If Google is unable to improve its Deep/Alpha product line to an effective AGI machine in a less than 10 years, they are either utterly incompetent (which they aren't) or this NN paradigm isn't strong enough. Which sounds unlikely, too.
Others have less than 10 years wide opportunity window.
I am not too excited about the amount of CPU/RAM requirements for this NN/ML style of racing. But it might be just good enough.