<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: pulpbag</title><link>https://news.ycombinator.com/user?id=pulpbag</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Fri, 05 Jun 2026 23:33:09 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=pulpbag" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by pulpbag in "C++: The Documentary"]]></title><description><![CDATA[
<p>I'm confused. I looked at the Handmade Hero videos and I had no trouble following - it was simple straightforward procedural code.
As I understand it, his code does "exist somewhere". Bink 2 from RAD Game Tools, which seems to ship with practically all games. 
He also developed the Walk System that shipped in "The Witness" (2016). You can see his blog posts and video lecture about that. I see that he and a Jay Stelly from Valve simplified the GJK algorithm, and he talks about how to implement it.
I know he has his Performance-Aware Programming series, where he talks about the technical details of hardware and how they relate to code performance.
Here, I even found a tweet listing all the things he'd written till that point: <<a href="https://xcancel.com/cmuratori/status/1412839131063873536" rel="nofollow">https://xcancel.com/cmuratori/status/1412839131063873536</a>>.
Perhaps you didn't look hard enough?<p>Can someone give me links to Bjarne Stroustrup's code? I tried searching but I'm having a hard time finding anything. I would like to verify some of the claims being made in the other comments (it's hard to tell if someone's code is better or worse relative to another person's without having access to the code and comparing important metrics and all that.)</p>
]]></description><pubDate>Fri, 05 Jun 2026 11:20:07 +0000</pubDate><link>https://news.ycombinator.com/item?id=48410879</link><dc:creator>pulpbag</dc:creator><comments>https://news.ycombinator.com/item?id=48410879</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48410879</guid></item><item><title><![CDATA[New comment by pulpbag in "Agentic Misalignment: How LLMs could be insider threats"]]></title><description><![CDATA[
<p>I agree.</p>
]]></description><pubDate>Sat, 21 Jun 2025 10:58:21 +0000</pubDate><link>https://news.ycombinator.com/item?id=44336482</link><dc:creator>pulpbag</dc:creator><comments>https://news.ycombinator.com/item?id=44336482</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44336482</guid></item><item><title><![CDATA[New comment by pulpbag in "Emergent Misalignment: Narrow Finetuning Can Produce Broadly Misaligned LLMs"]]></title><description><![CDATA[
<p>That's hindsight bias. From the researchers:<p>"Bonus:
Are our results surprising to AI Safety researchers or could they have been predicted in advance?
Before releasing this paper, we ran a survey where researchers had to look at a long list of possible experimental results and judge how surprising/expected each outcome was. Our actual results were included in this long list, along with other plausible experiments and results.<p>Overall, researchers found our results highly surprising, especially the mention of Hitler and the anti-human sentiment."<p>(xcancel[.]com/OwainEvans_UK/status/1894436820068569387)</p>
]]></description><pubDate>Mon, 05 May 2025 17:09:54 +0000</pubDate><link>https://news.ycombinator.com/item?id=43897216</link><dc:creator>pulpbag</dc:creator><comments>https://news.ycombinator.com/item?id=43897216</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43897216</guid></item></channel></rss>