<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: lamename</title><link>https://news.ycombinator.com/user?id=lamename</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sat, 13 Jun 2026 03:24:54 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=lamename" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by lamename in "What we lost the last time code got cheap"]]></title><description><![CDATA[
<p>I mostly agree with everything you said. Do you feel the same way about code written by an LLM?</p>
]]></description><pubDate>Fri, 08 May 2026 20:34:08 +0000</pubDate><link>https://news.ycombinator.com/item?id=48068432</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=48068432</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48068432</guid></item><item><title><![CDATA[New comment by lamename in "What we lost the last time code got cheap"]]></title><description><![CDATA[
<p>Exactly. HN darling Paul Graham writes this way.<p>I find the constant critique of punchy style a bit tiring. It would be more productive for the grandparent to think about the content and state an opinion.</p>
]]></description><pubDate>Fri, 08 May 2026 20:32:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=48068413</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=48068413</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48068413</guid></item><item><title><![CDATA[New comment by lamename in "What we lost the last time code got cheap"]]></title><description><![CDATA[
<p>The link in the article that is right near the words you're talking about links to a wikipedia page that says the book is from 2005. So I conclude it was 2005 or soon after</p>
]]></description><pubDate>Fri, 08 May 2026 20:18:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=48068239</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=48068239</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48068239</guid></item><item><title><![CDATA[New comment by lamename in "What we lost the last time code got cheap"]]></title><description><![CDATA[
<p>Do you disagree with the point made?</p>
]]></description><pubDate>Fri, 08 May 2026 20:14:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=48068187</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=48068187</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48068187</guid></item><item><title><![CDATA[Reproducibility and robustness of economics and political science research]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.nature.com/articles/s41586-026-10251-x">https://www.nature.com/articles/s41586-026-10251-x</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47691409">https://news.ycombinator.com/item?id=47691409</a></p>
<p>Points: 5</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 08 Apr 2026 15:17:08 +0000</pubDate><link>https://www.nature.com/articles/s41586-026-10251-x</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=47691409</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47691409</guid></item><item><title><![CDATA[New comment by lamename in "A Visual Introduction to Machine Learning (2015)"]]></title><description><![CDATA[
<p>Not quite, but these help<p><a href="https://poloclub.github.io/transformer-explainer/" rel="nofollow">https://poloclub.github.io/transformer-explainer/</a><p><a href="https://youtu.be/wjZofJX0v4M?si=gT8Zlz1IY14KV_ju" rel="nofollow">https://youtu.be/wjZofJX0v4M?si=gT8Zlz1IY14KV_ju</a></p>
]]></description><pubDate>Sun, 15 Mar 2026 13:37:34 +0000</pubDate><link>https://news.ycombinator.com/item?id=47387262</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=47387262</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47387262</guid></item><item><title><![CDATA[New comment by lamename in "Show HN: Now I Get It – Translate scientific papers into interactive webpages"]]></title><description><![CDATA[
<p>So far i really like what it does for the example articles shown. I want to test it on 1 or 2 articles I know well, and if it passes that test it's a product I'd totally pay for.</p>
]]></description><pubDate>Sat, 28 Feb 2026 14:34:01 +0000</pubDate><link>https://news.ycombinator.com/item?id=47195837</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=47195837</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47195837</guid></item><item><title><![CDATA[New comment by lamename in "Show HN: Now I Get It – Translate scientific papers into interactive webpages"]]></title><description><![CDATA[
<p>I tried to upload a 239 KB pdf and it said "Daily processing limit reached".</p>
]]></description><pubDate>Sat, 28 Feb 2026 14:12:18 +0000</pubDate><link>https://news.ycombinator.com/item?id=47195606</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=47195606</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47195606</guid></item><item><title><![CDATA[New comment by lamename in "India's female workers watching hours of abusive content to train AI"]]></title><description><![CDATA[
<p>I generally agree with the broader point you're making, but I also think there's nothing wrong with pointing out how messed up it is that that's the reality of the choice. The whole point of improving society is to eliminate this kind of dilemma</p>
]]></description><pubDate>Fri, 06 Feb 2026 04:23:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=46909089</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=46909089</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46909089</guid></item><item><title><![CDATA[New comment by lamename in "Vitamin D and Omega-3 have a larger effect on depression than antidepressants"]]></title><description><![CDATA[
<p>Maybe. Those could be the case. But ignoring all confounding factors, this phenomenon is possible with numerical experiments alone. One of the meanings of "the Law of Small Numbers".<p>Basically, the possibility that the small study was underpowered, and just lucky...then the large studies with more power are closer to the truth.
<a href="https://en.wikipedia.org/wiki/Faulty_generalization" rel="nofollow">https://en.wikipedia.org/wiki/Faulty_generalization</a></p>
]]></description><pubDate>Thu, 29 Jan 2026 19:35:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=46815392</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=46815392</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46815392</guid></item><item><title><![CDATA[New comment by lamename in "Replacement.ai"]]></title><description><![CDATA[
<p>I agree with most everything you said. The problem has always been the short-term job loss, particularly today where society as a whole has resources for safety nets, but hasnt implemented them.<p>Anger at companies who hold power in multiple places to prevent and worsen this situation for people is valid anger.</p>
]]></description><pubDate>Sun, 19 Oct 2025 17:04:54 +0000</pubDate><link>https://news.ycombinator.com/item?id=45635804</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=45635804</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45635804</guid></item><item><title><![CDATA[New comment by lamename in "The great software quality collapse or, how we normalized catastrophe"]]></title><description><![CDATA[
<p>As much as I like the article, I begrudgingly agree with you, which is why I think the author mentions the physical constraints of energy as the future wall that companies will have to deal with.<p>The question is do we think that will actually happen?<p>Personally I would love if it did, then this post would have the last laugh (as would I), but I think companies realize this energy problem already. Just search for the headlines of big tech funding or otherwise supporting nuclear reactors, power grid upgrades, etc.</p>
]]></description><pubDate>Thu, 09 Oct 2025 15:27:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=45529057</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=45529057</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45529057</guid></item><item><title><![CDATA[New comment by lamename in "Cormac McCarthy's tips on how to write a science paper (2019) [pdf]"]]></title><description><![CDATA[
<p>In my experience in neuroscience it even differs widely across programs/universities. Some good professors care about giving good talks, and if you're lucky it becomes contagious in the program. Others think less of you if it's clear, some are too naive to realize obscurity is not a virtue.</p>
]]></description><pubDate>Sat, 20 Sep 2025 19:13:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=45316378</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=45316378</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45316378</guid></item><item><title><![CDATA[New comment by lamename in "Anscombe's Quartet"]]></title><description><![CDATA[
<p>Yeah, but still "scary" because you have to be really careful to not fool yourself and pay attention even with those algorithms. For example, a good demonstration with tsne
<a href="https://distill.pub/2016/misread-tsne/?hl=cs" rel="nofollow">https://distill.pub/2016/misread-tsne/?hl=cs</a></p>
]]></description><pubDate>Tue, 09 Sep 2025 17:41:12 +0000</pubDate><link>https://news.ycombinator.com/item?id=45185523</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=45185523</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45185523</guid></item><item><title><![CDATA[PapersWithCode sunsets, new HuggingFace Papers UI]]></title><description><![CDATA[
<p>Article URL: <a href="https://old.reddit.com/r/MachineLearning/comments/1m8z9zk/n_paperswithcode_sunsets_new_huggingface_papers_ui/">https://old.reddit.com/r/MachineLearning/comments/1m8z9zk/n_paperswithcode_sunsets_new_huggingface_papers_ui/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44782159">https://news.ycombinator.com/item?id=44782159</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 04 Aug 2025 04:37:04 +0000</pubDate><link>https://old.reddit.com/r/MachineLearning/comments/1m8z9zk/n_paperswithcode_sunsets_new_huggingface_papers_ui/</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=44782159</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44782159</guid></item><item><title><![CDATA[New comment by lamename in "LLMs should not replace therapists"]]></title><description><![CDATA[
<p>Being there 24/7? Yes. Better job? I'll believe it when I see it. You're arguing 2 different things at once</p>
]]></description><pubDate>Sun, 06 Jul 2025 22:14:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=44484574</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=44484574</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44484574</guid></item><item><title><![CDATA[New comment by lamename in "Time Series Forecasting with Graph Transformers"]]></title><description><![CDATA[
<p>Wow a sane person among all the hype. Great to see you!</p>
]]></description><pubDate>Wed, 18 Jun 2025 12:09:30 +0000</pubDate><link>https://news.ycombinator.com/item?id=44309160</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=44309160</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44309160</guid></item><item><title><![CDATA[New comment by lamename in "Large language models often know when they are being evaluated"]]></title><description><![CDATA[
<p>I really do agree with your point overall, but in a technical paper I do think even word choice can be implicitly a claim. Scientists present what they know or are claiming and thus word it carefully.<p>My background is neuroscience, where anthropomorphising is particularly discouraged, because it assumes knowledge or certainty of an unknowable internal state, so the language is carefully constructed e.g. when explaining animal behavior, and it's for good reason.<p>I think the same is true here for a model "knowing" somethig, both in isolation within this paper, and come on, consider the broader context of AI and AGI as a whole. Thus it's the responsibility of the authors to write accordingly. If it were a blog I wouldn't care, but it's not. I hold technical papers to a higher standard.<p>If we simply disagree that's fine, but we do disagree.</p>
]]></description><pubDate>Sun, 15 Jun 2025 12:17:11 +0000</pubDate><link>https://news.ycombinator.com/item?id=44281917</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=44281917</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44281917</guid></item><item><title><![CDATA[New comment by lamename in "Large language models often know when they are being evaluated"]]></title><description><![CDATA[
<p>I agree with your point except for scientific papers. Let's push ourselves to use precise, non-shorthand or hand waving in technical papers and publications, yes? If not there, of all places, then where?</p>
]]></description><pubDate>Sun, 15 Jun 2025 04:04:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=44280450</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=44280450</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44280450</guid></item><item><title><![CDATA[New comment by lamename in "Deep learning gets the glory, deep fact checking gets ignored"]]></title><description><![CDATA[
<p>I agree. Isn't this just utilizing the representation learning that's happened under the hood of the LLM?</p>
]]></description><pubDate>Wed, 04 Jun 2025 13:09:39 +0000</pubDate><link>https://news.ycombinator.com/item?id=44180369</link><dc:creator>lamename</dc:creator><comments>https://news.ycombinator.com/item?id=44180369</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44180369</guid></item></channel></rss>