<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: defjm</title><link>https://news.ycombinator.com/user?id=defjm</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 29 Jul 2026 06:24:33 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=defjm" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by defjm in "Design is compromise"]]></title><description><![CDATA[
<p>> I learned, when I was a kid, that I can't always get what I want (I think that someone even sang about it, way back then).<p><a href="https://en.wikipedia.org/wiki/You_Can%27t_Always_Get_What_You_Want" rel="nofollow">https://en.wikipedia.org/wiki/You_Can%27t_Always_Get_What_Yo...</a></p>
]]></description><pubDate>Sun, 26 Jul 2026 18:18:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=49060796</link><dc:creator>defjm</dc:creator><comments>https://news.ycombinator.com/item?id=49060796</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49060796</guid></item><item><title><![CDATA[New comment by defjm in "“Microslop” filtered in the official Microsoft Copilot Discord server"]]></title><description><![CDATA[
<p>You made me laugh, thanks.</p>
]]></description><pubDate>Mon, 02 Mar 2026 13:52:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=47217968</link><dc:creator>defjm</dc:creator><comments>https://news.ycombinator.com/item?id=47217968</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47217968</guid></item><item><title><![CDATA[New comment by defjm in "25 Years of Wikipedia"]]></title><description><![CDATA[
<p>Could you provide an example article from Wikipedia for such bias?<p>PS: I had to look up „atlanticist“, did this on Wikipedia.  (giggle!)</p>
]]></description><pubDate>Thu, 15 Jan 2026 19:18:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=46637688</link><dc:creator>defjm</dc:creator><comments>https://news.ycombinator.com/item?id=46637688</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46637688</guid></item><item><title><![CDATA[New comment by defjm in "In a first, Google has released data on how much energy an AI prompt uses"]]></title><description><![CDATA[
<p>Just found a related post in another HN thread: <a href="https://news.ycombinator.com/item?id=44993288">https://news.ycombinator.com/item?id=44993288</a></p>
]]></description><pubDate>Sat, 23 Aug 2025 07:00:20 +0000</pubDate><link>https://news.ycombinator.com/item?id=44993900</link><dc:creator>defjm</dc:creator><comments>https://news.ycombinator.com/item?id=44993900</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44993900</guid></item><item><title><![CDATA[New comment by defjm in "In a first, Google has released data on how much energy an AI prompt uses"]]></title><description><![CDATA[
<p>Agree, but given there is such a big distribution in prompt energy usage, wouldn’t it then make sense to break it down further into some meaningful categories?<p>Also, they say median and mean diverge a lot. So, in my view, google should disclose both and discuss it. Understanding avg/total consumption of AI use is relevant here.</p>
]]></description><pubDate>Sat, 23 Aug 2025 06:39:23 +0000</pubDate><link>https://news.ycombinator.com/item?id=44993794</link><dc:creator>defjm</dc:creator><comments>https://news.ycombinator.com/item?id=44993794</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44993794</guid></item><item><title><![CDATA[New comment by defjm in "In a first, Google has released data on how much energy an AI prompt uses"]]></title><description><![CDATA[
<p>Do they include AI search summaries here? It would be a big no no in my view.<p>Google has rolled out AI summaries extensively over the time of the study and they likely use more efficient inference than chatbot prompts to their larger models.<p>They discuss the median in their paper. But I couldn’t find any breakdown about how the prompts they analyze are distributed across their models.</p>
]]></description><pubDate>Sat, 23 Aug 2025 06:18:25 +0000</pubDate><link>https://news.ycombinator.com/item?id=44993685</link><dc:creator>defjm</dc:creator><comments>https://news.ycombinator.com/item?id=44993685</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44993685</guid></item><item><title><![CDATA[AI generated text is forbidden with the exception of automated translation]]></title><description><![CDATA[
<p>Article URL: <a href="https://discuss.grapheneos.org/d/11951-ai-generated-text-is-forbidden-with-the-exception-of-automated-translation">https://discuss.grapheneos.org/d/11951-ai-generated-text-is-forbidden-with-the-exception-of-automated-translation</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=43697843">https://news.ycombinator.com/item?id=43697843</a></p>
<p>Points: 6</p>
<p># Comments: 1</p>
]]></description><pubDate>Tue, 15 Apr 2025 20:14:35 +0000</pubDate><link>https://discuss.grapheneos.org/d/11951-ai-generated-text-is-forbidden-with-the-exception-of-automated-translation</link><dc:creator>defjm</dc:creator><comments>https://news.ycombinator.com/item?id=43697843</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43697843</guid></item><item><title><![CDATA[New comment by defjm in "Why do random forests work? They are self-regularizing adaptive smoothers"]]></title><description><![CDATA[
<p>Jeremy Howard has a great video explaining Random Forests: <a href="https://youtu.be/blyXCk4sgEg" rel="nofollow">https://youtu.be/blyXCk4sgEg</a> .</p>
]]></description><pubDate>Sat, 19 Oct 2024 21:35:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=41890955</link><dc:creator>defjm</dc:creator><comments>https://news.ycombinator.com/item?id=41890955</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41890955</guid></item></channel></rss>