<story><title>Diff Models – A New Way to Edit Code</title><url>https://carper.ai/diff-models-a-new-way-to-edit-code/</url></story><parent_chain><item><author>credit_guy</author><text>Take a look at the average faces of women across different countries [1]. They are all strikingly beautiful.&lt;p&gt;By averaging, a lot of imperfections get diluted away.&lt;p&gt;Like in Anna Karenina &amp;quot;happy families are all alike, unhappy ones are each in its own way&amp;quot;. The defects are idiosyncratic, the commonalities are good.&lt;p&gt;[1] &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;fstoppers.com&amp;#x2F;portraits&amp;#x2F;average-faces-women-around-world-2944&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;fstoppers.com&amp;#x2F;portraits&amp;#x2F;average-faces-women-around-w...&lt;/a&gt;</text></item><item><author>pavlov</author><text>Somehow these GitHub-trained ML code assistants sadden me.&lt;p&gt;My idea of enjoyable high-quality programming isn’t to dip a spoon into an ocean of soup made of other people’s random design decisions and bugs accumulated over fifteen years, hoping to get a spoonful without hidden crunchy insect bits.&lt;p&gt;I know the soup is nutritious and healthy 98% of the time, and eating it saves so much time compared to preparing a filet mignon myself. But it’s still brown sludge.</text></item></parent_chain><comment><author>kristopolous</author><text>That&amp;#x27;s unrelated.&lt;p&gt;Multi-sourced accumulated unmaintained amateur software without clear provenance or ownership is more like creating a feature I&amp;#x27;ll call &amp;quot;insta-legacy&amp;quot;: now you&amp;#x27;re responsible for a bunch of code you didn&amp;#x27;t write that by definition nobody you have access to understands.&lt;p&gt;This is absurd.&lt;p&gt;It&amp;#x27;s not going to stop people from doing it. The industry is clinically insane.&lt;p&gt;It allows people who do bad work to do more of it quickly. Before they had to manually shovel garbage into projects but now they have a dumptruck.&lt;p&gt;You know what? It might be fine. Maybe we&amp;#x27;re going to have a world of fast food programming where minimum wage coders pump out trash and there&amp;#x27;s going to be Michelin star programmers where you go to for the real stuff.&lt;p&gt;If that&amp;#x27;s the case, we&amp;#x27;ll have to somehow educate the public on the difference so they don&amp;#x27;t think it&amp;#x27;s the same thing. McDonald&amp;#x27;s and The French Laundry are both successful restaurants. That world is possible in programming as well.&lt;p&gt;It might already be like that. The cheap rates for shady contracting firms that do trash work are probably already using these things</text></comment>
<story><title>Diff Models – A New Way to Edit Code</title><url>https://carper.ai/diff-models-a-new-way-to-edit-code/</url></story><parent_chain><item><author>credit_guy</author><text>Take a look at the average faces of women across different countries [1]. They are all strikingly beautiful.&lt;p&gt;By averaging, a lot of imperfections get diluted away.&lt;p&gt;Like in Anna Karenina &amp;quot;happy families are all alike, unhappy ones are each in its own way&amp;quot;. The defects are idiosyncratic, the commonalities are good.&lt;p&gt;[1] &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;fstoppers.com&amp;#x2F;portraits&amp;#x2F;average-faces-women-around-world-2944&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;fstoppers.com&amp;#x2F;portraits&amp;#x2F;average-faces-women-around-w...&lt;/a&gt;</text></item><item><author>pavlov</author><text>Somehow these GitHub-trained ML code assistants sadden me.&lt;p&gt;My idea of enjoyable high-quality programming isn’t to dip a spoon into an ocean of soup made of other people’s random design decisions and bugs accumulated over fifteen years, hoping to get a spoonful without hidden crunchy insect bits.&lt;p&gt;I know the soup is nutritious and healthy 98% of the time, and eating it saves so much time compared to preparing a filet mignon myself. But it’s still brown sludge.</text></item></parent_chain><comment><author>RjQoLCOSwiIKfpm</author><text>Failure is an extremely common and accepted thing in biological systems - your offspring may just die if you have incompatible genes.&lt;p&gt;Software on the other hand is a logical environment with clear, logical requirements. It ought to work, not just fall apart randomly.&lt;p&gt;There is no guarantee that sticking the average of one software into a completely different one will satisfy the logical requirements by any means whatsoever.</text></comment>