<story><title>The Google Brain Team – Looking Back on 2016</title><url>https://research.googleblog.com/2017/01/the-google-brain-team-looking-back-on.html</url></story><parent_chain><item><author>zengid</author><text>As a student hoping to become a software engineer, I&amp;#x27;m a little nervous about Googles aggressiveness towards applying ML across many of their products. It makes me wonder: Will the field of software engineering be reduced to plugging ML nodes into client-side interfaces? Could it shrink the demand for engineers?</text></item></parent_chain><comment><author>dgacmu</author><text>Speaking as a part timer on Brain who&amp;#x27;s &lt;i&gt;not&lt;/i&gt; a machine learning person, I&amp;#x27;ve found and believe that MI just opens up more opportunities for good programmers.  There are a ton of problems out there that we couldn&amp;#x27;t solve well with computers without MI, and so didn&amp;#x27;t even attempt.  Now we can attempt them, and they&amp;#x27;re both fun and hard.&lt;p&gt;(I wrote a longer-form answer to a very similar question a few months ago:
&lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;da-data.blogspot.com&amp;#x2F;2016&amp;#x2F;05&amp;#x2F;dont-quit-that-programming-career-yet.html&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;da-data.blogspot.com&amp;#x2F;2016&amp;#x2F;05&amp;#x2F;dont-quit-that-programmi...&lt;/a&gt;
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<story><title>The Google Brain Team – Looking Back on 2016</title><url>https://research.googleblog.com/2017/01/the-google-brain-team-looking-back-on.html</url></story><parent_chain><item><author>zengid</author><text>As a student hoping to become a software engineer, I&amp;#x27;m a little nervous about Googles aggressiveness towards applying ML across many of their products. It makes me wonder: Will the field of software engineering be reduced to plugging ML nodes into client-side interfaces? Could it shrink the demand for engineers?</text></item></parent_chain><comment><author>jkestelyn</author><text>IMO, the same question could be asked with respect to any abstraction that hides complexity. The answer will always be&amp;#x2F;has always been: No, it won&amp;#x27;t. Rather, engineers who can think creatively about the role of pre-built ML models in mainstream applications will be in high demand.</text></comment>