Blog post: https://ai.facebook.com/blog/pluribus-first-ai-to-beat-pros-... Science article: https://science.sciencemag.org/content/early/2019/07/10/scie...
That's the best part in all of this. I'm not convinced by the claim the authors repeatedly make, that this technique will translate well to real-world problems. But I'm hoping that there is going to be more of this kind of result, singalling a shift away from Big Data and huge compute and towards well-designed and efficient algorithms.
In fact, I kind of expect it. The harder it gets to do the kind of machine learning that only large groups like DeepMind and OpenAI can do, the more smaller teams will push the other way and find ways to keep making progress cheaply and efficiently.