<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: i386</title><link>https://news.ycombinator.com/user?id=i386</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Fri, 30 Oct 2026 13:52:38 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=i386" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by i386 in "We finally learned to center a div, then browsers added sidebars"]]></title><description><![CDATA[
<p>Its an entire misunderstanding of how the layout system works.</p>
]]></description><pubDate>Wed, 05 Aug 2026 10:35:51 +0000</pubDate><link>https://news.ycombinator.com/item?id=49180877</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=49180877</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49180877</guid></item><item><title><![CDATA[New comment by i386 in "BMW Is Showing Commercials on Their Car's Dash Screens as a Treat"]]></title><description><![CDATA[
<p>Most people working at the top of these large organizations don’t know how to make anything net new anymore. They pushed all the people that do out when padding their nests.</p>
]]></description><pubDate>Sat, 01 Aug 2026 20:23:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=49138082</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=49138082</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49138082</guid></item><item><title><![CDATA[New comment by i386 in "Mesh LLM: distributed AI computing on iroh"]]></title><description><![CDATA[
<p>exo is Mac only.</p>
]]></description><pubDate>Sun, 12 Jul 2026 20:56:40 +0000</pubDate><link>https://news.ycombinator.com/item?id=48884710</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=48884710</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48884710</guid></item><item><title><![CDATA[New comment by i386 in "Mesh LLM: distributed AI computing on iroh"]]></title><description><![CDATA[
<p>I’d love a bug report - we can get it working for you!</p>
]]></description><pubDate>Sun, 12 Jul 2026 09:25:15 +0000</pubDate><link>https://news.ycombinator.com/item?id=48879661</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=48879661</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48879661</guid></item><item><title><![CDATA[New comment by i386 in "Mesh LLM: distributed AI computing on iroh"]]></title><description><![CDATA[
<p>Our skippy library is a patch queue on top of llama that allows us to access internal information, such as activations, and filter tensors on model load.</p>
]]></description><pubDate>Sun, 12 Jul 2026 09:24:20 +0000</pubDate><link>https://news.ycombinator.com/item?id=48879654</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=48879654</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48879654</guid></item><item><title><![CDATA[New comment by i386 in "Mesh LLM: distributed AI computing on iroh"]]></title><description><![CDATA[
<p>To be honest, both are very tough problems we don't have a good answer for yet. If that is something that concerns you, look into building a private mesh with trusted peers.</p>
]]></description><pubDate>Sun, 12 Jul 2026 02:54:22 +0000</pubDate><link>https://news.ycombinator.com/item?id=48877850</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=48877850</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48877850</guid></item><item><title><![CDATA[New comment by i386 in "Mesh LLM: distributed AI computing on iroh"]]></title><description><![CDATA[
<p>Each stage has its own KV for the layers it hosts. You are on the money there, when one stage is waiting it's free for more parallelism. I am planning on exploiting this for more token verification through ngram spec decoding.</p>
]]></description><pubDate>Sun, 12 Jul 2026 02:52:14 +0000</pubDate><link>https://news.ycombinator.com/item?id=48877841</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=48877841</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48877841</guid></item><item><title><![CDATA[New comment by i386 in "Mesh LLM: distributed AI computing on iroh"]]></title><description><![CDATA[
<p>It can dynamically route. If a machine drops out of split, the topology is recalculated and the request is automatically retried.</p>
]]></description><pubDate>Sun, 12 Jul 2026 02:39:22 +0000</pubDate><link>https://news.ycombinator.com/item?id=48877785</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=48877785</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48877785</guid></item><item><title><![CDATA[New comment by i386 in "Mesh LLM: distributed AI computing on iroh"]]></title><description><![CDATA[
<p>Thank you! AMD is a weak spot in our testing right now. If you’re willing to contribute or let us borrow some compute time, drop in on the Discord.</p>
]]></description><pubDate>Sun, 12 Jul 2026 01:22:45 +0000</pubDate><link>https://news.ycombinator.com/item?id=48877438</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=48877438</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48877438</guid></item><item><title><![CDATA[New comment by i386 in "Mesh LLM: distributed AI computing on iroh"]]></title><description><![CDATA[
<p>The lab features two Mac Studios: an Apple M3 Ultra (32 CPU cores, 80 GPU cores, 256 GB unified memory) and an Apple M1 Ultra (20 CPU cores, 48 GPU cores, 128 GB unified memory), both connected via 1Gbit Ethernet.<p>We use a customized Q2 quantization that preserves sensitive tensors at Q8.<p>To reduce compute time per layer, we are developing a custom GLM DSA Metal graph.<p>While we are not yet approaching MTP, we plan to port our existing MTP implementations from versions 4.7 and 5.1 to 5.2.<p>Since GLM's MTP acceptance rate is very high for a single predicted token, we are exploring token prediction techniques to widen the predicted tokens and utilize parallelism for verification.</p>
]]></description><pubDate>Sun, 12 Jul 2026 01:12:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=48877390</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=48877390</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48877390</guid></item><item><title><![CDATA[New comment by i386 in "Mesh LLM: distributed AI computing on iroh"]]></title><description><![CDATA[
<p>That isn’t true. llama RPC is incredibly slow but staged splits in skippy are orders of magnitude faster.</p>
]]></description><pubDate>Sun, 12 Jul 2026 00:38:03 +0000</pubDate><link>https://news.ycombinator.com/item?id=48877215</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=48877215</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48877215</guid></item><item><title><![CDATA[New comment by i386 in "Mesh LLM: distributed AI computing on iroh"]]></title><description><![CDATA[
<p>This was done on my home lab simulating 5ms latency and jitter between machines. Splits work quite well if you your nodes are over WAN at metro latency’s but not super fast on global WAN.<p>The idea is that you could take several machines without dedicated RDMA or NVLINK fabric and use them to serve a large model on hardware you own then share it with others.<p>I’m currently working on GLM 5.2 on my lab environment with around 10 tok/s on the same split.</p>
]]></description><pubDate>Sun, 12 Jul 2026 00:36:37 +0000</pubDate><link>https://news.ycombinator.com/item?id=48877199</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=48877199</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48877199</guid></item><item><title><![CDATA[New comment by i386 in "Mesh LLM: distributed AI computing on iroh"]]></title><description><![CDATA[
<p>I’m one of the contributors to Mesh LLM and happy to answer any questions. I authored the skippy engine that allows you to split large models across nodes.</p>
]]></description><pubDate>Sun, 12 Jul 2026 00:21:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=48877119</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=48877119</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48877119</guid></item><item><title><![CDATA[New comment by i386 in "VS Code inserting 'Co-Authored-by Copilot' into commits regardless of usage"]]></title><description><![CDATA[
<p>PMs at Microsoft have incredibly bad taste</p>
]]></description><pubDate>Sun, 03 May 2026 00:09:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=47991852</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=47991852</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47991852</guid></item><item><title><![CDATA[New comment by i386 in "I bought Friendster for $30k – Here's what I'm doing with it"]]></title><description><![CDATA[
<p>I kinda fucking love it. He’s doing something. It’s interesting. There’s no scam. Let live!</p>
]]></description><pubDate>Mon, 27 Apr 2026 13:17:32 +0000</pubDate><link>https://news.ycombinator.com/item?id=47921191</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=47921191</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47921191</guid></item><item><title><![CDATA[New comment by i386 in "Google releases Gemma 4 open models"]]></title><description><![CDATA[
<p>You can try this new model live using mesh-llm right now: <a href="https://www.anarchai.org/dashboard" rel="nofollow">https://www.anarchai.org/dashboard</a></p>
]]></description><pubDate>Fri, 03 Apr 2026 02:18:20 +0000</pubDate><link>https://news.ycombinator.com/item?id=47622554</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=47622554</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47622554</guid></item><item><title><![CDATA[New comment by i386 in "Signing data structures the wrong way"]]></title><description><![CDATA[
<p>switch on version, then messageId…</p>
]]></description><pubDate>Thu, 02 Apr 2026 13:13:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=47614048</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=47614048</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47614048</guid></item><item><title><![CDATA[New comment by i386 in "Signing data structures the wrong way"]]></title><description><![CDATA[
<p>> I didn't know that Protobuf wasn't canonical but even without this knowledge, there are many other factors which make it an inferior format to JSON.<p>If strict typing and versioning are useless to you, sure.</p>
]]></description><pubDate>Thu, 02 Apr 2026 13:12:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=47614019</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=47614019</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47614019</guid></item><item><title><![CDATA[Pool spare GPU capacity to run LLMs at larger scale]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/michaelneale/mesh-llm">https://github.com/michaelneale/mesh-llm</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47499033">https://news.ycombinator.com/item?id=47499033</a></p>
<p>Points: 11</p>
<p># Comments: 3</p>
]]></description><pubDate>Tue, 24 Mar 2026 05:57:00 +0000</pubDate><link>https://github.com/michaelneale/mesh-llm</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=47499033</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47499033</guid></item><item><title><![CDATA[New comment by i386 in "Apple's latest attempt to launch the new Siri runs into snags"]]></title><description><![CDATA[
<p>yeah this product does not exist</p>
]]></description><pubDate>Thu, 12 Feb 2026 21:08:15 +0000</pubDate><link>https://news.ycombinator.com/item?id=46995187</link><dc:creator>i386</dc:creator><comments>https://news.ycombinator.com/item?id=46995187</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46995187</guid></item></channel></rss>