<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: cosmojg</title><link>https://news.ycombinator.com/user?id=cosmojg</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sun, 11 Oct 2026 07:13:53 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=cosmojg" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by cosmojg in "Keyboard differences between Windows and Macs"]]></title><description><![CDATA[
<p>Sounds like a great name for a post-rock digicore/hyperpop midwest emo band.</p>
]]></description><pubDate>Fri, 09 Oct 2026 17:07:13 +0000</pubDate><link>https://news.ycombinator.com/item?id=50023526</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=50023526</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50023526</guid></item><item><title><![CDATA[New comment by cosmojg in "MiMo v2.6"]]></title><description><![CDATA[
<p>Yeah, for better or worse, writing style is practically uncorrelated with agentic performance, which is all the rage right now and the thing that most popular benchmarks currently prioritize.</p>
]]></description><pubDate>Tue, 22 Sep 2026 00:20:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=49795225</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49795225</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49795225</guid></item><item><title><![CDATA[New comment by cosmojg in "MiMo v2.6"]]></title><description><![CDATA[
<p>And, in this case, the dollar-amount increase in GDP serves as a virtual quantitative proxy for the increase in mowed lawns (and the value thereof). In other words, the participants in this economy are collectively ~$200 richer with their mowed lawns than they were without them.</p>
]]></description><pubDate>Tue, 22 Sep 2026 00:07:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=49795126</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49795126</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49795126</guid></item><item><title><![CDATA[New comment by cosmojg in "Show HN: An e-ink frame that hears birds and draws them as 1800s illustrations"]]></title><description><![CDATA[
<p>Why would anyone assume this uses an LLM? It classifies bird sounds, not human language. I don't mean this as an attack, I'm genuinely curious! This seemed obvious to me, and I want to know what line of thinking might lead one to believe that an LLM is the better (or more likely) tool for this job over a purpose-built classifier.</p>
]]></description><pubDate>Wed, 16 Sep 2026 16:21:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=49729348</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49729348</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49729348</guid></item><item><title><![CDATA[New comment by cosmojg in "Nike exits the S&P 100 after 18 years and a $200B market-cap wipeout"]]></title><description><![CDATA[
<p>I still sometimes wear my decade-old Nike Free RNs held together with little more than spoiled hopes, dreams, and shoe goo.</p>
]]></description><pubDate>Mon, 14 Sep 2026 17:31:05 +0000</pubDate><link>https://news.ycombinator.com/item?id=49700704</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49700704</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49700704</guid></item><item><title><![CDATA[New comment by cosmojg in "RTK reports token savings, but our cost benchmarks disagree"]]></title><description><![CDATA[
<p>How does this compare to ripgrep and fzf?</p>
]]></description><pubDate>Fri, 11 Sep 2026 15:39:51 +0000</pubDate><link>https://news.ycombinator.com/item?id=49660271</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49660271</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49660271</guid></item><item><title><![CDATA[Can I Root My TV?]]></title><description><![CDATA[
<p>Article URL: <a href="https://cani.rootmy.tv/">https://cani.rootmy.tv/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=49603567">https://news.ycombinator.com/item?id=49603567</a></p>
<p>Points: 4</p>
<p># Comments: 1</p>
]]></description><pubDate>Mon, 07 Sep 2026 22:15:07 +0000</pubDate><link>https://cani.rootmy.tv/</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49603567</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49603567</guid></item><item><title><![CDATA[New comment by cosmojg in "216M Spy TVs – The LG Smart TV Problem [video]"]]></title><description><![CDATA[
<p>If your TV is rootable, you should root it! See: <a href="https://cani.rootmy.tv/" rel="nofollow">https://cani.rootmy.tv/</a></p>
]]></description><pubDate>Mon, 07 Sep 2026 22:14:21 +0000</pubDate><link>https://news.ycombinator.com/item?id=49603559</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49603559</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49603559</guid></item><item><title><![CDATA[New comment by cosmojg in "The entire city of San Francisco as a video game"]]></title><description><![CDATA[
<p>Haha, I know that stage by heart, and I've never been to San Francisco. I had no idea that's what it was modeled after!</p>
]]></description><pubDate>Mon, 24 Aug 2026 17:41:57 +0000</pubDate><link>https://news.ycombinator.com/item?id=49423335</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49423335</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49423335</guid></item><item><title><![CDATA[New comment by cosmojg in "Fable and the end of the free lunch"]]></title><description><![CDATA[
<p>Newer models[1] are being trained in ways that prioritize coding and agentic performance over raw knowledge[2] such that they increasingly rely on external tools for accessing hard data and information.<p>[1] <a href="https://artificialanalysis.ai/evaluations/omniscience?models=qwen3-6-27b%2Cqwen3-8-27b#omniscience-accuracy-tabs" rel="nofollow">https://artificialanalysis.ai/evaluations/omniscience?models...</a><p>[2] <a href="https://old.reddit.com/r/LocalLLaMA/comments/1vt7l3e/qwen3827b_took_a_serious_hit_to_knowledge_vs_36/" rel="nofollow">https://old.reddit.com/r/LocalLLaMA/comments/1vt7l3e/qwen382...</a></p>
]]></description><pubDate>Mon, 24 Aug 2026 15:20:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=49421035</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49421035</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49421035</guid></item><item><title><![CDATA[New comment by cosmojg in "Fast drilldown dashboards from a single Parquet file"]]></title><description><![CDATA[
<p>> A dashboard like this one is designed to answer a bounded set of analytical questions ~ requests per day, requests per day for one agency, all-time totals by borough. Each question can be answered by GROUP BY queries, so we can precompute them all ahead of time and save each result as its own small table, called a grouping set. Stack all of the grouping sets in one Parquet file, one section per set, and you have a data cube. A grouping set is only useful if it either enables a question to be answered, or reduces the latency of pulling the data.<p>What's the benefit of "data cubes" over caching?</p>
]]></description><pubDate>Mon, 24 Aug 2026 14:54:20 +0000</pubDate><link>https://news.ycombinator.com/item?id=49420659</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49420659</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49420659</guid></item><item><title><![CDATA[500'000€ Prize for Compressing Human Knowledge]]></title><description><![CDATA[
<p>Article URL: <a href="http://prize.hutter1.net/">http://prize.hutter1.net/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=49268737">https://news.ycombinator.com/item?id=49268737</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 12 Aug 2026 06:59:03 +0000</pubDate><link>http://prize.hutter1.net/</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49268737</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49268737</guid></item><item><title><![CDATA[New comment by cosmojg in "Qwen3.8-Max: A New Bar for Coding and Cowork"]]></title><description><![CDATA[
<p>Is that a Deepwater Horizon reference?</p>
]]></description><pubDate>Wed, 05 Aug 2026 17:13:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=49185819</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49185819</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49185819</guid></item><item><title><![CDATA[New comment by cosmojg in "Kimi-K3 on HuggingFace"]]></title><description><![CDATA[
<p>IANAL, but probably not, at least not in the United States. Under U.S. copyright law, the weights of machine learning models are excluded from copyright as they are the product of an automated optimization process (e.g., stochastic gradient descent, expectation maximization, genetic algorithms) rather than human authorship. Granted, this has yet to be fully tested in court and going to court is expensive, so it's likely that your employer would prefer to err on the side of caution and respect such attempts at model licensing anyway. Nonetheless, this was partially tested last year in <i>Thaler v. Perlmutter</i> which affirmed that copyright requires human authorship, reading the Copyright Act's provisions on ownership, duration, and transferability as presupposing a human author[1].<p>If you want to assess the position of the U.S. Copyright Office for yourself, the relevant text can be found in the <i>Compendium of U.S. Copyright Office Practices</i> § 313.2, "Works That Lack Human Authorship"[2], which states:<p>> […] the Copyright Act protects “original works of <i>authorship</i>.” 17 U.S.C. § 102(a) (emphasis added). To qualify as a work of “authorship” a work must be created by a human being. See Burrow-Giles Lithographic Co., 111 U.S. at 58. Works that do not satisfy this requirement are not copyrightable.<p>> […] the Office will not register works produced by a machine or mere mechanical process that operates randomly or automatically without any creative input or intervention from a human author. The crucial question is “whether the ‘work’ is basically one of human authorship, with the computer [or other device] merely being an assisting instrument, or whether the traditional elements of authorship in the work (literary, artistic, or musical expression or elements of selection, arrangement, etc.) were actually conceived and executed not by man but by a machine.” U.S. COPYRIGHT OFFICE, REPORT TO THE LIBRARIAN OF CONGRESS BY THE REGISTER OF COPYRIGHTS 5 (1965).<p>Oh, and there's also a bit in the following Section 313.3, "Works That Do Not Constitute Copyrightable Subject Matter"[2], which explicitly excludes mathematical principles, formulas, algorithms, and equations, along with DNA sequences and other genetic or chemical compounds, regardless of whether they are produced by humans or by nature. If one takes the perspective that machine learning models are algorithms, the conclusions on copyrightability are pretty clear.<p>[1] <a href="https://media.cadc.uscourts.gov/opinions/docs/2025/03/23-5233.pdf" rel="nofollow">https://media.cadc.uscourts.gov/opinions/docs/2025/03/23-523...</a><p>[2] <a href="https://www.copyright.gov/comp3/chap300/ch300-copyrightable-authorship.pdf" rel="nofollow">https://www.copyright.gov/comp3/chap300/ch300-copyrightable-...</a></p>
]]></description><pubDate>Mon, 27 Jul 2026 18:54:27 +0000</pubDate><link>https://news.ycombinator.com/item?id=49074087</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49074087</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49074087</guid></item><item><title><![CDATA[New comment by cosmojg in "Kimi-K3 Technical Report [pdf]"]]></title><description><![CDATA[
<p>These are the right questions. IANAL, but I am of the opinion that model weights are not copyrightable. See my sibling comment: <a href="https://news.ycombinator.com/item?id=49073127">https://news.ycombinator.com/item?id=49073127</a></p>
]]></description><pubDate>Mon, 27 Jul 2026 18:26:24 +0000</pubDate><link>https://news.ycombinator.com/item?id=49073681</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49073681</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49073681</guid></item><item><title><![CDATA[New comment by cosmojg in "Kimi-K3 Technical Report [pdf]"]]></title><description><![CDATA[
<p>It's worth noting that the weights of machine learning models are not subject to copyright in the United States as they are the product of an automated optimization process (e.g., stochastic gradient descent, expectation maximization, genetic algorithms) rather than human authorship. Granted, this has yet to be fully tested in court and going to court is expensive, so it's likely that your employer would prefer to err on the side of caution and respect such attempts at model licensing anyway. Nonetheless, this was partially tested last year in <i>Thaler v. Perlmutter</i> which affirmed that copyright requires human authorship, reading the Copyright Act's provisions on ownership, duration, and transferability as presupposing a human author[1].<p>If you want to assess the position of the U.S. Copyright Office for yourself, the relevant text can be found in the <i>Compendium of U.S. Copyright Office Practices</i> § 313.2, "Works That Lack Human Authorship"[2], which states:<p>> […] the Copyright Act protects “original works of <i>authorship</i>.” 17 U.S.C. § 102(a) (emphasis added). To qualify as a work of “authorship” a work must be created by a human being. See Burrow-Giles Lithographic Co., 111 U.S. at 58. Works that do not satisfy this requirement are not copyrightable.<p>> […] the Office will not register works produced by a machine or mere mechanical process that operates randomly or automatically without any creative input or intervention from a human author. The crucial question is “whether the ‘work’ is basically one of human authorship, with the computer [or other device] merely being an assisting instrument, or whether the traditional elements of authorship in the work (literary, artistic, or musical expression or elements of selection, arrangement, etc.) were actually conceived and executed not by man but by a machine.” U.S. COPYRIGHT OFFICE, REPORT TO THE LIBRARIAN OF CONGRESS BY THE REGISTER OF COPYRIGHTS 5 (1965).<p>Oh, and there's also a bit in the following Section 313.3, "Works That Do Not Constitute Copyrightable Subject Matter"[2], which explicitly excludes mathematical principles, formulas, algorithms, and equations, along with DNA sequences and other genetic or chemical compounds, regardless of whether they are produced by humans or by nature. If one takes the perspective that machine learning models are algorithms, the conclusions on copyrightability are pretty clear.<p>[1] <a href="https://media.cadc.uscourts.gov/opinions/docs/2025/03/23-5233.pdf" rel="nofollow">https://media.cadc.uscourts.gov/opinions/docs/2025/03/23-523...</a><p>[2] <a href="https://www.copyright.gov/comp3/chap300/ch300-copyrightable-authorship.pdf" rel="nofollow">https://www.copyright.gov/comp3/chap300/ch300-copyrightable-...</a></p>
]]></description><pubDate>Mon, 27 Jul 2026 17:44:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=49073127</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49073127</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49073127</guid></item><item><title><![CDATA[New comment by cosmojg in "Bitchat is now on Radicle"]]></title><description><![CDATA[
<p>I'm pretty sure that's the same project.</p>
]]></description><pubDate>Sat, 25 Jul 2026 16:31:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=49049000</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=49049000</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49049000</guid></item><item><title><![CDATA[New comment by cosmojg in "I Won't Buy You a Coffee"]]></title><description><![CDATA[
<p>A bar in my Italian family's hometown sells beers for one or two Euros a pop. The gelateria down the street charges a bit more for ice cream, though.</p>
]]></description><pubDate>Fri, 12 Jun 2026 19:26:12 +0000</pubDate><link>https://news.ycombinator.com/item?id=48508415</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=48508415</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48508415</guid></item><item><title><![CDATA[New comment by cosmojg in "Cosmodial Sky Atlas"]]></title><description><![CDATA[
<p>Ooh, this is great! Reminds me of one of my all-time favorite open-source Android apps: Sky Map! <a href="https://github.com/sky-map-team/stardroid" rel="nofollow">https://github.com/sky-map-team/stardroid</a></p>
]]></description><pubDate>Fri, 12 Jun 2026 18:49:05 +0000</pubDate><link>https://news.ycombinator.com/item?id=48507965</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=48507965</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48507965</guid></item><item><title><![CDATA[New comment by cosmojg in "The California state assembly has passed the 'Protect Our Games Act'"]]></title><description><![CDATA[
<p>I think it's more likely that the big studios will start rolling out trivial offline modes (less risky) rather than overhaul their revenue models (more risky).</p>
]]></description><pubDate>Fri, 29 May 2026 20:41:06 +0000</pubDate><link>https://news.ycombinator.com/item?id=48328939</link><dc:creator>cosmojg</dc:creator><comments>https://news.ycombinator.com/item?id=48328939</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48328939</guid></item></channel></rss>