<story><title>Science fiction hasn’t prepared us to imagine machine learning</title><url>https://tedunderwood.com/2021/02/02/why-sf-hasnt-prepared-us-to-imagine-machine-learning/</url></story><parent_chain><item><author>ganstyles</author><text>My company has used ML to create synthetic cancer data to train classifiers to augment doctors&amp;#x2F;specialists who are looking for cancer. This work has greatly increased accuracy in diagnosis, saving lives. To say it&amp;#x27;s only for music generation or generating waifus is a bit unfair.</text></item><item><author>sillysaurusx</author><text>I&amp;#x27;m increasingly concerned that the impact of ML is going to be limited. This sounds laughable at face value. And it is: ML has impacted my own life in a few ways, from being able to generate endless video game music (&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;soundcloud.com&amp;#x2F;theshawwn&amp;#x2F;sets&amp;#x2F;ai-generated-videogame-music&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;soundcloud.com&amp;#x2F;theshawwn&amp;#x2F;sets&amp;#x2F;ai-generated-videogame...&lt;/a&gt;) to... well. Thus my point: I can&amp;#x27;t think of ways it&amp;#x27;s seriously impacted my life, other than being an interesting challenge to pursue.&lt;p&gt;As someone on the forefront of ML, you would expect me to be in a position to reap the benefits. It&amp;#x27;s possible I am incompetent. But I often wonder what we&amp;#x27;re doing, chasing gradients and batchnorms while training classifiers to generate photos of lemurs wearing suits.&lt;p&gt;I try not to dwell on it too much, since I truly love the work for its own sake. But one must wonder what the endgame is. The models of consequence are locked up by companies and held behind an API. The rest are nothing more than interesting diversions.&lt;p&gt;I&amp;#x27;ve been reading some history of math and science, and it seems like many of the big discoveries were made from people pursuing the work for its own sake. Feynman loved physics long before physics became world-changing. But if physics never lead to the creation of the bomb, would it have been so prestigious?&lt;p&gt;We seem to be lauding ML with the same accolades as physics during the postwar period. And I can&amp;#x27;t help but wonder when it will wear off.&lt;p&gt;ML will be a fine tool for massive corporations, though, for endless reasons. But I was hoping for a more personal impact with the work. Something like, being able to enable a blind person to use a computer in a new way, or... something more than memes and amusement.&lt;p&gt;Perhaps doing the work for its own sake is enough.</text></item></parent_chain><comment><author>rscho</author><text>&amp;gt; This work has greatly increased accuracy in diagnosis, saving lives.&lt;p&gt;As an MD with a special interest in statistics, color me skeptical. I&amp;#x27;d love to be proven wrong though, so please provide references.&lt;p&gt;Edit: yeah, so the way this whole thread is developing really goes to show (yet again) that medical AI hype is relying as strongly as ever on the fantasies of people who&amp;#x27;ve never seen any clinical work.</text></comment>
<story><title>Science fiction hasn’t prepared us to imagine machine learning</title><url>https://tedunderwood.com/2021/02/02/why-sf-hasnt-prepared-us-to-imagine-machine-learning/</url></story><parent_chain><item><author>ganstyles</author><text>My company has used ML to create synthetic cancer data to train classifiers to augment doctors&amp;#x2F;specialists who are looking for cancer. This work has greatly increased accuracy in diagnosis, saving lives. To say it&amp;#x27;s only for music generation or generating waifus is a bit unfair.</text></item><item><author>sillysaurusx</author><text>I&amp;#x27;m increasingly concerned that the impact of ML is going to be limited. This sounds laughable at face value. And it is: ML has impacted my own life in a few ways, from being able to generate endless video game music (&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;soundcloud.com&amp;#x2F;theshawwn&amp;#x2F;sets&amp;#x2F;ai-generated-videogame-music&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;soundcloud.com&amp;#x2F;theshawwn&amp;#x2F;sets&amp;#x2F;ai-generated-videogame...&lt;/a&gt;) to... well. Thus my point: I can&amp;#x27;t think of ways it&amp;#x27;s seriously impacted my life, other than being an interesting challenge to pursue.&lt;p&gt;As someone on the forefront of ML, you would expect me to be in a position to reap the benefits. It&amp;#x27;s possible I am incompetent. But I often wonder what we&amp;#x27;re doing, chasing gradients and batchnorms while training classifiers to generate photos of lemurs wearing suits.&lt;p&gt;I try not to dwell on it too much, since I truly love the work for its own sake. But one must wonder what the endgame is. The models of consequence are locked up by companies and held behind an API. The rest are nothing more than interesting diversions.&lt;p&gt;I&amp;#x27;ve been reading some history of math and science, and it seems like many of the big discoveries were made from people pursuing the work for its own sake. Feynman loved physics long before physics became world-changing. But if physics never lead to the creation of the bomb, would it have been so prestigious?&lt;p&gt;We seem to be lauding ML with the same accolades as physics during the postwar period. And I can&amp;#x27;t help but wonder when it will wear off.&lt;p&gt;ML will be a fine tool for massive corporations, though, for endless reasons. But I was hoping for a more personal impact with the work. Something like, being able to enable a blind person to use a computer in a new way, or... something more than memes and amusement.&lt;p&gt;Perhaps doing the work for its own sake is enough.</text></item></parent_chain><comment><author>lasagnaphil</author><text>I think ML&amp;#x27;s currently temporarily useful in fields that have been making decisions mostly based on intuition and heuristics. The medical field&amp;#x27;s one example, even with some knowledge on biology and anatomy it&amp;#x27;s hard to diagnose and treat patients only with deductive reasoning, a lot of guesswork and &amp;quot;experience&amp;quot; is involved. In that case ML might be able to perform better than humans, but I think this will have its limits. Above a certain point, I think biological simulation (as in physics simulation) would be a much more useful tool for doctors to understand the human body.</text></comment>