<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>levthedev</author><text>Check out &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;vladfi1&amp;#x2F;Phillip&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;vladfi1&amp;#x2F;Phillip&lt;/a&gt;. It&amp;#x27;s a Super Smash Bros bot that can beat the top players in the world and is run by a tensorflow model that can be created by playing against it for a few days.</text><parent_chain><item><author>echelon</author><text>Chess, Go, Poker... All feel like variations on the same theme. While it&amp;#x27;s obvious there is innovation being done, I want to see something more challenging. Something with more dimensionality and integration of several types of input.&lt;p&gt;How about a machine that can beat someone at Smash Bros, a game with varied characters, complex comboing mechanics, and a nontrivial computer vision task?&lt;p&gt;Or--more difficult by a few orders of magnitude--what about a robot that can beat someone at tennis? Or a team of robots that can best a professional basketball team?&lt;p&gt;When do you suppose we&amp;#x27;ll begin to see these sorts of things? Within our lifetime, I hope?</text></item><item><author>nopinsight</author><text>I believe we are witnessing the Cambrian explosion of intelligences. The techniques behind Libratus (abstraction algorithm and game theory [1]) appear to be qualitatively distinct from those behind AlphaGo (deep reinforcement learning and MCMC) and DeepBlue (search and heuristics).&lt;p&gt;An ecology of Artificial Intelligences, unbounded by our evolutionary history and neural architecture, could evolve to suit each particular task more effectively than our brains can.&lt;p&gt;Promises and perils abound.&lt;p&gt;[1] &lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;www.cs.cmu.edu&amp;#x2F;~sandholm&amp;#x2F;&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;www.cs.cmu.edu&amp;#x2F;~sandholm&amp;#x2F;&lt;/a&gt; section &amp;quot;Algorithms and complexity of solving games&amp;quot;</text></item></parent_chain></comment><story><title>CMU&apos;s Libratus builds substantial lead in Brains vs. AI competition</title><url>http://www.cmu.edu/news/stories/archives/2017/january/AI-tough-poker-player.html</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>thomasahle</author><text>There&amp;#x27;s the AI beating a fighter pilot in combat: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;news.ycombinator.com&amp;#x2F;item?id=11993366&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;news.ycombinator.com&amp;#x2F;item?id=11993366&lt;/a&gt;
Though it is again a different approach.</text><parent_chain><item><author>echelon</author><text>Chess, Go, Poker... All feel like variations on the same theme. While it&amp;#x27;s obvious there is innovation being done, I want to see something more challenging. Something with more dimensionality and integration of several types of input.&lt;p&gt;How about a machine that can beat someone at Smash Bros, a game with varied characters, complex comboing mechanics, and a nontrivial computer vision task?&lt;p&gt;Or--more difficult by a few orders of magnitude--what about a robot that can beat someone at tennis? Or a team of robots that can best a professional basketball team?&lt;p&gt;When do you suppose we&amp;#x27;ll begin to see these sorts of things? Within our lifetime, I hope?</text></item><item><author>nopinsight</author><text>I believe we are witnessing the Cambrian explosion of intelligences. The techniques behind Libratus (abstraction algorithm and game theory [1]) appear to be qualitatively distinct from those behind AlphaGo (deep reinforcement learning and MCMC) and DeepBlue (search and heuristics).&lt;p&gt;An ecology of Artificial Intelligences, unbounded by our evolutionary history and neural architecture, could evolve to suit each particular task more effectively than our brains can.&lt;p&gt;Promises and perils abound.&lt;p&gt;[1] &lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;www.cs.cmu.edu&amp;#x2F;~sandholm&amp;#x2F;&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;www.cs.cmu.edu&amp;#x2F;~sandholm&amp;#x2F;&lt;/a&gt; section &amp;quot;Algorithms and complexity of solving games&amp;quot;</text></item></parent_chain></comment><story><title>CMU&apos;s Libratus builds substantial lead in Brains vs. AI competition</title><url>http://www.cmu.edu/news/stories/archives/2017/january/AI-tough-poker-player.html</url></story>