<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: thatsgcasey</title><link>https://news.ycombinator.com/user?id=thatsgcasey</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Thu, 22 Oct 2026 08:44:25 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=thatsgcasey" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by thatsgcasey in "Kimi K3 Architecture Overview and Notes"]]></title><description><![CDATA[
<p>Sabastian Raschka is one of the great LLM researchers/authors.  I highly recommend his substack</p>
]]></description><pubDate>Tue, 28 Jul 2026 19:48:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=49088967</link><dc:creator>thatsgcasey</dc:creator><comments>https://news.ycombinator.com/item?id=49088967</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49088967</guid></item><item><title><![CDATA[A political belief changed how AI analysts read the same data]]></title><description><![CDATA[
<p>Article URL: <a href="https://arxiv.org/abs/2607.01507">https://arxiv.org/abs/2607.01507</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48778651">https://news.ycombinator.com/item?id=48778651</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 03 Jul 2026 19:00:12 +0000</pubDate><link>https://arxiv.org/abs/2607.01507</link><dc:creator>thatsgcasey</dc:creator><comments>https://news.ycombinator.com/item?id=48778651</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48778651</guid></item><item><title><![CDATA[New comment by thatsgcasey in "Ask HN: What are you working on? (June 2026)"]]></title><description><![CDATA[
<p>During my 45 min commute to work I listen to podcasts. Over the last year, like most here, I have been focusing on AI and agentic engineering.  The podcasts that I enjoyed the most profiled research papers.<p>In April I started playing round with generating a semi-automated pipeline with python and Claude to generate a private podcast that does a deep dive into AI research papers.  I think it is really cool.  It fetches papers, scores them based on novelty, importance, relevancy, etc., and then writes the podcast script.  It then generates the show by using Eleven Labs voices and then puts it in an RSS feed that Apple Podcasts is ok with.<p>My personal expense for generating this stuff is a sunk cost, so in May I opened it to everyone via <a href="https://paperdive.ai/" rel="nofollow">https://paperdive.ai/</a>  It was really fun working with Claude 4.7, 4.8 and even Fable 5, to make the site and refine the pipeline.  Now I put out about 4-5 episodes a day.  I listen to each one first, then promote the "staged" episodes to my "prod" feed.<p>This weekend I just add weekly and monthly reviews.  Claude will write the review and another instance will generate a script the converts the review into something (hopefully) easier to listen to.<p>Here is last week: <a href="https://paperdive.ai/review/weekly-2026-06-14.html" rel="nofollow">https://paperdive.ai/review/weekly-2026-06-14.html</a>
And here is the review for May: <a href="https://paperdive.ai/review/monthly-2026-05.html" rel="nofollow">https://paperdive.ai/review/monthly-2026-05.html</a><p>Now, during my commute, I listen to the individual episodes and the reviews - I typically run them at 1.5x to 2x speed.  I have become a much better user of the AI tools by keeping up with recent research.</p>
]]></description><pubDate>Sun, 14 Jun 2026 23:54:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=48534483</link><dc:creator>thatsgcasey</dc:creator><comments>https://news.ycombinator.com/item?id=48534483</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48534483</guid></item></channel></rss>