<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: BoredomIsFun</title><link>https://news.ycombinator.com/user?id=BoredomIsFun</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 30 Jun 2026 21:18:06 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=BoredomIsFun" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by BoredomIsFun in "Ornith-1.0: self-improving open-source models for agentic coding"]]></title><description><![CDATA[
<p>/r/localllama is not like that at all.</p>
]]></description><pubDate>Tue, 30 Jun 2026 15:04:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=48733744</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=48733744</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48733744</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "Qwen 3.6 27B is the sweet spot for local development"]]></title><description><![CDATA[
<p>>  I get hallucinated tool call parameters and bizarre invocations<p>tweaking sampler might help</p>
]]></description><pubDate>Mon, 29 Jun 2026 18:14:07 +0000</pubDate><link>https://news.ycombinator.com/item?id=48722954</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=48722954</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48722954</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "Local AI needs to be the norm"]]></title><description><![CDATA[
<p>It would be true, if model providers did not throttle their models. I do not have definitive proof they do but the rumors are abundant.</p>
]]></description><pubDate>Mon, 11 May 2026 07:50:51 +0000</pubDate><link>https://news.ycombinator.com/item?id=48092197</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=48092197</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48092197</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "When Dawkins met Claude – Could this AI be conscious?"]]></title><description><![CDATA[
<p>> Chemical reactions are just math.<p>No, it is quantum mechanics. Physical world is not reducible to math, it has been long proven since early 20th century.</p>
]]></description><pubDate>Sun, 03 May 2026 14:28:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=47997293</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47997293</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47997293</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "LFM2-24B-A2B: Scaling Up the LFM2 Architecture"]]></title><description><![CDATA[
<p>LFM models I've tried all seemed to be suffering from serious coherence issues. I found Gemmas the best at tasks requiring rock solid coherent output; even Qwen's not comparable.</p>
]]></description><pubDate>Sat, 02 May 2026 08:06:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=47984424</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47984424</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47984424</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "Granite 4.1: IBM's 8B Model Matching 32B MoE"]]></title><description><![CDATA[
<p>> Qwen 3.6 burns it to the ground.<p>Not for creative writing or NLP.</p>
]]></description><pubDate>Fri, 01 May 2026 13:57:06 +0000</pubDate><link>https://news.ycombinator.com/item?id=47974887</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47974887</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47974887</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "Over-editing refers to a model modifying code beyond what is necessary"]]></title><description><![CDATA[
<p>It feels like a pointless conversation, if no sampler settings (min_p, temperature etc.) mentioned.</p>
]]></description><pubDate>Thu, 23 Apr 2026 10:09:16 +0000</pubDate><link>https://news.ycombinator.com/item?id=47873942</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47873942</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47873942</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "The case for zero-error horizons in trustworthy LLMs"]]></title><description><![CDATA[
<p>> An LLM is a router and completely stateless aside from the context you feed into it.<p>Not the latest SSM and hybrid attention ones.</p>
]]></description><pubDate>Fri, 03 Apr 2026 04:45:21 +0000</pubDate><link>https://news.ycombinator.com/item?id=47623270</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47623270</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47623270</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "Google releases Gemma 4 open models"]]></title><description><![CDATA[
<p>good old illustrtation: <a href="https://www.ml6.eu/en/blog/large-language-models-to-fine-tune-or-not-to-fine-tune" rel="nofollow">https://www.ml6.eu/en/blog/large-language-models-to-fine-tun...</a><p>The it- one is the yellow smiling dot, the pt- is the rightmost monster head.</p>
]]></description><pubDate>Fri, 03 Apr 2026 04:42:21 +0000</pubDate><link>https://news.ycombinator.com/item?id=47623259</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47623259</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47623259</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "Do your own writing"]]></title><description><![CDATA[
<p>> If I offend anyone I will not be apologising for it.<p>What you said is simply counterfactual, so no reason to be offended.</p>
]]></description><pubDate>Tue, 31 Mar 2026 20:37:27 +0000</pubDate><link>https://news.ycombinator.com/item?id=47593155</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47593155</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47593155</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "We're pausing Asimov Press"]]></title><description><![CDATA[
<p>Asimov is a widespread lastname in ex-USSR, esp. Central Asia. I personally know three unrelated Asimovs.</p>
]]></description><pubDate>Tue, 31 Mar 2026 20:32:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=47593089</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47593089</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47593089</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "$500 GPU outperforms Claude Sonnet on coding benchmarks"]]></title><description><![CDATA[
<p>> Local model enthusiasts often assume that running locally is more energy efficient than running in a data center,<p>It is a well known 101 truism in /r/Localllama that local is rarely cheaper, unless run batched - then it is massively, 10x cheaper indeed.<p>> I think they mean that the DeepSeek API charges are less than it would cost for the electricity to run a local model.<p>Because it is hosted in China, where energy is cheap. In ex-USSR where I live it is inexpensive too, and keeping in mind that whole winter I had to use small space heater, due to inadequacy of my central heating, using local came out as 100% free.</p>
]]></description><pubDate>Fri, 27 Mar 2026 09:34:24 +0000</pubDate><link>https://news.ycombinator.com/item?id=47540601</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47540601</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47540601</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "iPhone 17 Pro Demonstrated Running a 400B LLM"]]></title><description><![CDATA[
<p>Hmm...no. These two things are orthogonal. Regardless, Olmo are opensource.</p>
]]></description><pubDate>Thu, 26 Mar 2026 06:40:12 +0000</pubDate><link>https://news.ycombinator.com/item?id=47527291</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47527291</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47527291</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "Debunking Zswap and Zram Myths"]]></title><description><![CDATA[
<p>1 and 3 contradict each other. Last thing people need is anti-AI hysteria.</p>
]]></description><pubDate>Thu, 26 Mar 2026 06:27:26 +0000</pubDate><link>https://news.ycombinator.com/item?id=47527215</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47527215</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47527215</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "Debunking Zswap and Zram Myths"]]></title><description><![CDATA[
<p>1. What makes you think it is written by an LLM<p>2. Where is that rule, could you cite it?<p>3. How dow I know you did not use LLM for your comment?</p>
]]></description><pubDate>Wed, 25 Mar 2026 08:56:56 +0000</pubDate><link>https://news.ycombinator.com/item?id=47514940</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47514940</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47514940</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "Flash-Moe: Running a 397B Parameter Model on a Mac with 48GB RAM"]]></title><description><![CDATA[
<p>> the API-driven $trillion labs?<p>here we go: <a href="https://huggingface.co/collections/trillionlabs/tri-series" rel="nofollow">https://huggingface.co/collections/trillionlabs/tri-series</a></p>
]]></description><pubDate>Sun, 22 Mar 2026 15:00:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=47478228</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47478228</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47478228</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "Show HN: Duplicate 3 layers in a 24B LLM, logical deduction .22→.76. No training"]]></title><description><![CDATA[
<p>please post it on /r/localllama</p>
]]></description><pubDate>Thu, 19 Mar 2026 12:47:28 +0000</pubDate><link>https://news.ycombinator.com/item?id=47438462</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47438462</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47438462</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "Show HN: Duplicate 3 layers in a 24B LLM, logical deduction .22→.76. No training"]]></title><description><![CDATA[
<p>Phi-4-14b with layers duplicated (phi-4-25b) has increassed performance. Phi-4-49b has degraded vs 14b.</p>
]]></description><pubDate>Thu, 19 Mar 2026 12:44:16 +0000</pubDate><link>https://news.ycombinator.com/item?id=47438409</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47438409</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47438409</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "Show HN: Duplicate 3 layers in a 24B LLM, logical deduction .22→.76. No training"]]></title><description><![CDATA[
<p>Phi-4-25 is another example.</p>
]]></description><pubDate>Thu, 19 Mar 2026 12:42:13 +0000</pubDate><link>https://news.ycombinator.com/item?id=47438382</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47438382</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47438382</guid></item><item><title><![CDATA[New comment by BoredomIsFun in "Warranty Void If Regenerated"]]></title><description><![CDATA[
<p>You might like /r/antiai.</p>
]]></description><pubDate>Thu, 19 Mar 2026 06:42:54 +0000</pubDate><link>https://news.ycombinator.com/item?id=47435747</link><dc:creator>BoredomIsFun</dc:creator><comments>https://news.ycombinator.com/item?id=47435747</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47435747</guid></item></channel></rss>