<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: excsn</title><link>https://news.ycombinator.com/user?id=excsn</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sun, 27 Sep 2026 12:18:26 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=excsn" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by excsn in "Topcoat is pushing the boundary of server applications with Rust"]]></title><description><![CDATA[
<p>I used to write Leptos, but abandoned it. I hoped the experience would get better, it took a lot of memory just for the language server to validate especially. Web apps become too cumbersome to maintain in bigger distributed teams where we want fast feedback. I think writing web apps in straight rust will always be niche. There's not many frontend devs who write React or Vue who want to write straight Rust just because of safety or performance.<p>That's why I created SnapFire FSR (<a href="https://www.snapfirers.com" rel="nofollow">https://www.snapfirers.com</a>), but many examples, to allow frontend devs to develop in their favorite framework (or mixture of). Write Tera templates, Web Components if you don't want to bring in frameworks like I tend to. Don't need to pay massive switching costs which, even with, AI not fun.<p>I found it much better to create and maintain web apps near the markup and language they originated from. You won't find me writing straight Rust for Web Apps unless I need to anymore.<p>I'm going to continue to work on this and switch all my leptos  and svelte sites over.</p>
]]></description><pubDate>Fri, 25 Sep 2026 15:29:05 +0000</pubDate><link>https://news.ycombinator.com/item?id=49845970</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=49845970</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49845970</guid></item><item><title><![CDATA[New comment by excsn in "SnapFire FSR: Write TypeScript for Web. Run Rust. Ditch Node.js"]]></title><description><![CDATA[
<p>I ditched Node.js for the most part, I don't interact with it outside of outside work. SnapFire FSR is a representation of what I wanted for a long time, but nobody has done it the way I would like. It's a bit more than I envisioned, if I had to be honest, hah.<p>Node.js has a bad reputation, full stop. Heck, some companies don't want Node.js running as a web service without a sidecar process to talk to other internal services because of some unforseen event. Something I think introduces complexity while frontend developers want to take advantage of the latest techniques and patterns.<p>I think the stars aligned and SnapFire FSR is just one of the latest moves away from Node.Js ecosystem.<p>The examples here <a href="https://github.com/excsn/snapfire/tree/main/fsr/examples" rel="nofollow">https://github.com/excsn/snapfire/tree/main/fsr/examples</a> are really good examples of what you can do with it, while also serving as a way for me to explore what FSR can provide.<p>I think bigger companies will love native subsites, no funky routing on nginx or envoy or whatever to deal with anymore AND most of all independently deployable. True microfrontend? Haha! <a href="https://snapfirers.com/fsr/docs" rel="nofollow">https://snapfirers.com/fsr/docs</a> is a subsite. :)<p>PageSpeed for WWW: <a href="https://pagespeed.web.dev/analysis/https-snapfirers-com/hmfy16rixk" rel="nofollow">https://pagespeed.web.dev/analysis/https-snapfirers-com/hmfy...</a><p>PageSpeed for Docs Subsite: <a href="https://pagespeed.web.dev/analysis/https-snapfirers-com-fsr-docs/kcea55yova?form_factor=mobile" rel="nofollow">https://pagespeed.web.dev/analysis/https-snapfirers-com-fsr-...</a></p>
]]></description><pubDate>Mon, 07 Sep 2026 17:14:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=49600586</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=49600586</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49600586</guid></item><item><title><![CDATA[SnapFire FSR: Write TypeScript for Web. Run Rust. Ditch Node.js]]></title><description><![CDATA[
<p>Article URL: <a href="https://snapfirers.com/">https://snapfirers.com/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=49600585">https://news.ycombinator.com/item?id=49600585</a></p>
<p>Points: 2</p>
<p># Comments: 1</p>
]]></description><pubDate>Mon, 07 Sep 2026 17:14:19 +0000</pubDate><link>https://snapfirers.com/</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=49600585</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49600585</guid></item><item><title><![CDATA[New comment by excsn in "Microsoft Phi 4 with R1 Reasoning"]]></title><description><![CDATA[
<p>I didn't create the model but I asked it "What is a llm?". Output is below.<p><details><p><summary>Thought Process</summary>
Okay, let me try to figure out what "LLM" stands for. Hmm, I've heard this acronym before in different contexts, so it's important not to jump to conclusions without considering all possibilities. Let me start by breaking down the possible meanings.<p>First, LLM is often used as an abbreviation in academia and professional fields. In law, LLM stands for Master of Laws. That makes sense because many lawyers pursue further specialization after their initial JD degree. But I should check if there are other common uses in different areas.<p>In medicine, some abbreviations start with "L," but I don't recall an LLM related to medical degrees. Maybe it's more prevalent in law and business? For example, in business schools, there's the MBA (Master of Business Administration), so maybe a similar structure for law?<p>Another angle: technology fields sometimes use acronyms like this. Wait, "LLM" might also refer to something in AI or computing. I remember reading about language models recently—like GPT-3 is a large language model. Could LLM be related to that? But the exact term there is usually "LLMs" for large language models, but maybe it's a specific name?<p>Wait, let me think again. If it's in AI, perhaps LLM stands for something like "Large Language Model." That could make sense. However, I need to verify if that's accurate or if there's another interpretation.<p>Let me also consider other industries. In finance, acronyms can be tricky. For example, LLM might stand for a type of loan or liability management? Not sure. Maybe in logistics or supply chain?<p>Alternatively, could it refer to something geographical? Like an airport code? I should check common three-letter codes, but I don't think there's a major city with those letters.<p>Back to the more likely possibilities: Law and AI. Let me focus on law first. LLM as Master of Laws is well-established. It's a postgraduate academic degree that provides advanced study in law. Candidates usually have an undergraduate law degree already, like a JD or equivalent, and then pursue an LLM for specialization.<p>In the context of technology, especially with recent developments in AI models by companies like Meta (formerly Facebook), there was mention of "LLM" as part of their language model series. For example, Meta announced a new LLM called OPT-175B or something similar? Wait, I think it's different. Let me recall: OpenAI's GPT is one thing, but other companies have their own models. Maybe LLaMA from Meta Labs? Or maybe "LLM" in that context refers to large language models in general?<p>Wait, perhaps there's confusion between the acronym and the full term. If someone says "LLM," they might be referring to a Large Language Model as a category, but if it's an official name, like OpenAI's GPT-3 is named after its creators (Geoffrey Hinton) or something else? Hmm.<p>Alternatively, maybe in some contexts, LLM refers to a specific model. For example, when people talk about "LLMs" they might be referring to models trained on large datasets for natural language processing tasks like text generation, translation, summarization, etc. So in that case, an LLM would be a type of AI model.<p>But wait, the question is asking what "LLM" stands for, not necessarily its application. So if it's an acronym expansion, then possible answers are Master of Laws or Large Language Model, depending on the context.<p>Given that the user didn't specify a field, I need to consider which interpretation is more common or if both are valid but in different domains.<p>Another thought: In some cases, acronyms can have multiple meanings. For example, NASA stands for National Aeronautics and Space Administration, but in other contexts, maybe not. However, LLM as Master of Laws seems well-established, whereas Large Language Model is more recent and specific to AI.<p>If the question is about a general understanding without context, perhaps both are possible answers. But if there's a primary usage, I need to determine that.<p>Wait, let me check some quick references in my mind. The Master of Laws (LLM) degree is a postgraduate academic degree. It originated in the United States and is now offered worldwide for those looking to specialize in law or gain expertise in international law, tax law, etc. So that's a solid meaning.<p>For Large Language Model, as AI models become more prominent, "LLMs" are being discussed frequently in tech circles. The term might be used to describe models like GPT-3, BERT, T5, etc., but whether the acronym LLM is officially used for them or if it's a shorthand is something I need to confirm.<p>Alternatively, maybe "LLM" refers to a specific model name from a particular company. For instance, Meta AI has developed models called LLaMA (Large Language Model Meta AI). Wait, that's "LLaMA," which uses an accent, not just three capital letters. So perhaps "LLM" is a more generic term for such models?<p>In conclusion, the answer could depend on context:<p>1. In legal academia and professional contexts: Master of Laws.
2. In technology/AI contexts: Large Language Model.<p>Since the question doesn't specify the field, it's possible both are correct but in different domains. However, if I have to choose based on common usage, perhaps Master of Laws is more universally recognized unless specified otherwise.<p>Alternatively, maybe the user expects both answers. But without further context, providing both possibilities with explanations might be better.<p></details><p>The acronym "LLM" can have two primary meanings depending on the context:<p>1. *Master of Laws*:
   - A postgraduate academic degree specializing in law.
   - Typically pursued by individuals who already hold a first-degree law qualification (e.g., JD) and seek advanced study or specialization (e.g., international law, tax law).
   - Commonly recognized in legal academia and professional settings worldwide.<p>2. *Large Language Model*:
   - Refers to AI models designed for natural language processing tasks (e.g., text generation, translation, summarization).
   - Examples include models like OpenAI's GPT series, Google's BERT, or Meta's LLaMA.
   - Used in technology and AI contexts, especially as these models gain prominence in applications like chatbots, virtual assistants, and content creation.<p>*Conclusion*:  
The meaning of "LLM" depends on the context. In legal fields, it denotes a graduate law degree (Master of Laws). In technology/AI discussions, it refers to advanced language-processing AI models (Large Language Model). When encountering this acronym without context, consider both interpretations or clarify based on the specific domain.</p>
]]></description><pubDate>Tue, 04 Feb 2025 03:46:06 +0000</pubDate><link>https://news.ycombinator.com/item?id=42927619</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=42927619</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42927619</guid></item><item><title><![CDATA[Microsoft Phi 4 with R1 Reasoning]]></title><description><![CDATA[
<p>Article URL: <a href="https://huggingface.co/Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF">https://huggingface.co/Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42926855">https://news.ycombinator.com/item?id=42926855</a></p>
<p>Points: 6</p>
<p># Comments: 2</p>
]]></description><pubDate>Tue, 04 Feb 2025 02:23:48 +0000</pubDate><link>https://huggingface.co/Quazim0t0/Phi4.Turn.R1Distill_v1.5.1_Q4_k-GGUF</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=42926855</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42926855</guid></item><item><title><![CDATA[Three Hundred Mechanics]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.squidi.net/three/">https://www.squidi.net/three/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42098215">https://news.ycombinator.com/item?id=42098215</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Sun, 10 Nov 2024 02:23:06 +0000</pubDate><link>https://www.squidi.net/three/</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=42098215</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42098215</guid></item><item><title><![CDATA[SQLPage: Automatically build a UI on top of SQL queries]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/sqlpage/SQLPage">https://github.com/sqlpage/SQLPage</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41917238">https://news.ycombinator.com/item?id=41917238</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 22 Oct 2024 18:31:10 +0000</pubDate><link>https://github.com/sqlpage/SQLPage</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=41917238</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41917238</guid></item><item><title><![CDATA[New comment by excsn in "Ask HN: What are you working on (September 2024)?"]]></title><description><![CDATA[
<p>Hey everyone! I wanted to share what I’ve been working on lately: an app called Unlearn Stress [1] on iOS [2] and Android [3]. It came out of my own struggles with stress and trying to find ways to cope. Some days are just rough and while I’ve had some luck with doctors, I’ve found that stories, especially ones read in my own voice, and breathing exercises really help lift my mood. The app is simple, works completely offline and there’s no data collection like other apps.<p>My next idea is to use SSML to better control some of the speech and add delays where needed.<p>[1] <a href="https://www.excsn.com/apps/unlearn_stress" rel="nofollow">https://www.excsn.com/apps/unlearn_stress</a><p>[2] <a href="https://apps.apple.com/us/app/unlearn-stress-with-stories/id6670419600" rel="nofollow">https://apps.apple.com/us/app/unlearn-stress-with-stories/id...</a><p>[3] <a href="https://play.google.com/store/apps/details?id=com.excsn.android.unlearn_stress">https://play.google.com/store/apps/details?id=com.excsn.andr...</a></p>
]]></description><pubDate>Sun, 29 Sep 2024 23:45:37 +0000</pubDate><link>https://news.ycombinator.com/item?id=41691948</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=41691948</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41691948</guid></item><item><title><![CDATA[Show HN: Unlearn Stress – A Stress Reduction App with Personal Voice Narration]]></title><description><![CDATA[
<p>I made it for me as I’ve been having episodes with stress with no specific origin. Been to doctors with some luck from one hopefully the recent operation will address another potential issue. Some days I feel down, out of it, just lack of energy and expression and I don’t know why exactly, but hearing some of the stories, even when I’ve heard them before, help with getting out of a slump.<p>I found that the 'Shaman' breathing exercise (humming “ohmmmmm” on exhale) for 15-30m, on wakeup and before sleep, has been the most helpful for me. Takes about 10m of doing it for my body to really relax my muscles.<p>I also found being read stories, that are inspired by the things I knew growing up things I know now, things I wish I knew as a kid, tv shows, friends, current events, forums and etc., are very helpful with my own mindset. Everyone's in a different position and being reminded of perspective can be highly motivating. Narration with your own personal voice is fun (Android needs to catch up!). Wish I could have my voice recorded as a child reading some of these ha!<p>What ‘Unlearn Stress’ offers:
* Guided Breathing Exercises: Quick and easy breathing exercises that you can do anytime, anywhere to help promote relaxation, reduce stress and refocus.
* 100+ Relatable Short Stories: Stories about work, burnout, life, relationships, uncertainty that hit home, like one about a world taken down by a bug ;), inspired by the recent CrowdStrike outage, inventing things but getting no traction or the constant chase for social media popularity. It’s all about finding some calm in the chaos.
* Personal Voice Narration (iOS 17+): For iPhone 12+ users, you can have stories narrated in your own voice, making the experience feel super personal. (<a href="https://support.apple.com/en-us/104993" rel="nofollow">https://support.apple.com/en-us/104993</a>)
* Educational Resources: Simple tips and insights to help you manage stress better every day.<p>The app works completely offline and there’s no Data Collection like other apps. There’s a lifetime premium version for $4.99 which is budget friendly. Tired of subscription services and unnecessary data collection, I'm stuck in the 90s mindset I guess.<p>You can add also more voices on device for story narration
1. iPhone:  Accessibility > Spoken Content > Voices. Click on a voice and check if enhanced version is available.
2. Android: <a href="https://support.google.com/accessibility/android/answer/6006983?hl=en" rel="nofollow">https://support.google.com/accessibility/android/answer/6006...</a><p>Where to find it:
* iOS App Store: <a href="https://apps.apple.com/us/app/unlearn-stress-with-stories/id6670419600" rel="nofollow">https://apps.apple.com/us/app/unlearn-stress-with-stories/id...</a>
* Google Play: <a href="https://play.google.com/store/apps/details?id=com.excsn.android.unlearn_stress">https://play.google.com/store/apps/details?id=com.excsn.andr...</a><p>I hope it helps you as much as it has helped me. Would love to hear your thoughts and suggestions you might have!<p>Thanks for checking it out!</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41688867">https://news.ycombinator.com/item?id=41688867</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Sun, 29 Sep 2024 17:29:10 +0000</pubDate><link>https://www.excsn.com/apps/unlearn_stress</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=41688867</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41688867</guid></item><item><title><![CDATA[A modern and easy-to-use client for Ollama in Flutter]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/JHubi1/ollama-app">https://github.com/JHubi1/ollama-app</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41597791">https://news.ycombinator.com/item?id=41597791</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 20 Sep 2024 00:52:19 +0000</pubDate><link>https://github.com/JHubi1/ollama-app</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=41597791</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41597791</guid></item><item><title><![CDATA[Double-Entry Bookkeeping for Hackers]]></title><description><![CDATA[
<p>Article URL: <a href="http://markan.net/double-entry.html">http://markan.net/double-entry.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41567911">https://news.ycombinator.com/item?id=41567911</a></p>
<p>Points: 37</p>
<p># Comments: 7</p>
]]></description><pubDate>Tue, 17 Sep 2024 14:26:59 +0000</pubDate><link>http://markan.net/double-entry.html</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=41567911</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41567911</guid></item><item><title><![CDATA[Dilib-rs – A dependency injection library for Rust]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/Neo-Ciber94/dilib-rs">https://github.com/Neo-Ciber94/dilib-rs</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41560841">https://news.ycombinator.com/item?id=41560841</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 16 Sep 2024 20:58:54 +0000</pubDate><link>https://github.com/Neo-Ciber94/dilib-rs</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=41560841</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41560841</guid></item><item><title><![CDATA[Sherpa-ONNX: Speech recognition, synthesis, ID using NG Kaldi without Internet]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/k2-fsa/sherpa-onnx">https://github.com/k2-fsa/sherpa-onnx</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41444861">https://news.ycombinator.com/item?id=41444861</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 04 Sep 2024 12:30:04 +0000</pubDate><link>https://github.com/k2-fsa/sherpa-onnx</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=41444861</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41444861</guid></item><item><title><![CDATA[MythFall: Bullet Hell Browser MMO]]></title><description><![CDATA[
<p>Article URL: <a href="https://mythfall.com/">https://mythfall.com/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41421967">https://news.ycombinator.com/item?id=41421967</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 02 Sep 2024 01:55:17 +0000</pubDate><link>https://mythfall.com/</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=41421967</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41421967</guid></item><item><title><![CDATA[Chimp: Efficient Lossless Floating Point Compression for Time Series Databases [pdf]]]></title><description><![CDATA[
<p>Article URL: <a href="https://vldb.org/pvldb/vol15/p3058-liakos.pdf">https://vldb.org/pvldb/vol15/p3058-liakos.pdf</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41386980">https://news.ycombinator.com/item?id=41386980</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 29 Aug 2024 03:25:58 +0000</pubDate><link>https://vldb.org/pvldb/vol15/p3058-liakos.pdf</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=41386980</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41386980</guid></item><item><title><![CDATA[Katran: A high performance layer 4 load balancer]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/facebookincubator/katran">https://github.com/facebookincubator/katran</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41379450">https://news.ycombinator.com/item?id=41379450</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 28 Aug 2024 13:43:57 +0000</pubDate><link>https://github.com/facebookincubator/katran</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=41379450</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41379450</guid></item><item><title><![CDATA[Mach: Firefighting Time-Critical Issues in Complex Systems W High-Frequency Data]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.vldb.org/pvldb/volumes/17/paper/Mach%3A%20Firefighting%20Time-Critical%20Issues%20in%20Complex%20Systems%20Using%20High-Frequency%20Telemetry">https://www.vldb.org/pvldb/volumes/17/paper/Mach%3A%20Firefighting%20Time-Critical%20Issues%20in%20Complex%20Systems%20Using%20High-Frequency%20Telemetry</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41374589">https://news.ycombinator.com/item?id=41374589</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 27 Aug 2024 23:57:59 +0000</pubDate><link>https://www.vldb.org/pvldb/volumes/17/paper/Mach%3A%20Firefighting%20Time-Critical%20Issues%20in%20Complex%20Systems%20Using%20High-Frequency%20Telemetry</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=41374589</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41374589</guid></item><item><title><![CDATA[BonsaiKV: Fast, Scalable Persistent KV Stores with Tiered, Heterogeneous Memory [pdf]]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.vldb.org/pvldb/vol17/p726-cai.pdf">https://www.vldb.org/pvldb/vol17/p726-cai.pdf</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41374572">https://news.ycombinator.com/item?id=41374572</a></p>
<p>Points: 4</p>
<p># Comments: 1</p>
]]></description><pubDate>Tue, 27 Aug 2024 23:56:04 +0000</pubDate><link>https://www.vldb.org/pvldb/vol17/p726-cai.pdf</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=41374572</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41374572</guid></item><item><title><![CDATA[Bitcode: A fast highly compressible binary encoder/decoder for Rust]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/SoftbearStudios/bitcode">https://github.com/SoftbearStudios/bitcode</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41150730">https://news.ycombinator.com/item?id=41150730</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Sun, 04 Aug 2024 02:13:58 +0000</pubDate><link>https://github.com/SoftbearStudios/bitcode</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=41150730</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41150730</guid></item><item><title><![CDATA[Binary Efficient Versatile Encoding: High performance, tagged binary data spec]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/beve-org/beve">https://github.com/beve-org/beve</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41140375">https://news.ycombinator.com/item?id=41140375</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 02 Aug 2024 16:43:30 +0000</pubDate><link>https://github.com/beve-org/beve</link><dc:creator>excsn</dc:creator><comments>https://news.ycombinator.com/item?id=41140375</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41140375</guid></item></channel></rss>