<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: mzubairtahir</title><link>https://news.ycombinator.com/user?id=mzubairtahir</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sat, 04 Jul 2026 11:03:56 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=mzubairtahir" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[Open source project for evaluating two models on specific task]]></title><description><![CDATA[
<p>THinking about making a open source community where developers using different models could evaluate for different tasks. Imagine small model doing similarly like large model for a specific task.</p>
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<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48783156">https://news.ycombinator.com/item?id=48783156</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Sat, 04 Jul 2026 06:40:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=48783156</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48783156</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48783156</guid></item><item><title><![CDATA[New comment by mzubairtahir in "Ask HN: Does anybody still FEEL improvements between latest LLMs for coding?"]]></title><description><![CDATA[
<p>imporvements are happening in other things like less token usage, speed, cost etc</p>
]]></description><pubDate>Thu, 02 Jul 2026 05:04:09 +0000</pubDate><link>https://news.ycombinator.com/item?id=48756755</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48756755</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48756755</guid></item><item><title><![CDATA[Ask HN: How much memory is useable by GPU in MacBook?]]></title><description><![CDATA[
<p>how much memory is actually useable by gpu in macbook? as it is shared(os and apps also have to use same memory)? and it is different than dedicated gpu memory.</p>
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<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48695166">https://news.ycombinator.com/item?id=48695166</a></p>
<p>Points: 3</p>
<p># Comments: 2</p>
]]></description><pubDate>Sat, 27 Jun 2026 04:34:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=48695166</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48695166</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48695166</guid></item><item><title><![CDATA[New comment by mzubairtahir in "Ask HN: MacBook vs. Dedicated GPU for LLM"]]></title><description><![CDATA[
<p>sorry but asking again: how much memory is actually useable by gpu in macbook? as it is shared(os and apps also have to use same memory)?
and it is different than dedicated gpu memory?</p>
]]></description><pubDate>Sat, 27 Jun 2026 04:30:16 +0000</pubDate><link>https://news.ycombinator.com/item?id=48695148</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48695148</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48695148</guid></item><item><title><![CDATA[New comment by mzubairtahir in "Ask HN: MacBook vs. Dedicated GPU for LLM"]]></title><description><![CDATA[
<p>but still it can run handsome models</p>
]]></description><pubDate>Sat, 27 Jun 2026 04:28:07 +0000</pubDate><link>https://news.ycombinator.com/item?id=48695138</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48695138</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48695138</guid></item><item><title><![CDATA[New comment by mzubairtahir in "Ask HN: MacBook vs. Dedicated GPU for LLM"]]></title><description><![CDATA[
<p>are you saying because of speed or it just cant run them?</p>
]]></description><pubDate>Sat, 27 Jun 2026 04:25:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=48695129</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48695129</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48695129</guid></item><item><title><![CDATA[New comment by mzubairtahir in "Ask HN: MacBook vs. Dedicated GPU for LLM"]]></title><description><![CDATA[
<p>how much memory is actually useable by gpu in macbook? as it is shared?</p>
]]></description><pubDate>Sat, 27 Jun 2026 04:24:09 +0000</pubDate><link>https://news.ycombinator.com/item?id=48695118</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48695118</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48695118</guid></item><item><title><![CDATA[Ask HN: MacBook vs. Dedicated GPU for LLM]]></title><description><![CDATA[
<p>For those who are using llms on macbook, Want to understand how macbook is different than dedicated GPU in running those models? and how to know how much a macbook is capable of running a model?</p>
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<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48694802">https://news.ycombinator.com/item?id=48694802</a></p>
<p>Points: 37</p>
<p># Comments: 71</p>
]]></description><pubDate>Sat, 27 Jun 2026 03:17:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=48694802</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48694802</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48694802</guid></item><item><title><![CDATA[New comment by mzubairtahir in "Show HN: A GPU/VRAM filter for finding LLMs that will run on your hardware"]]></title><description><![CDATA[
<p>i think you did not check app properly, it is actually taking required context window from the user and then caluclate kv cache size and then count it along with size of model itself. it also reserves some more memory to avoid oom....</p>
]]></description><pubDate>Sat, 27 Jun 2026 02:04:05 +0000</pubDate><link>https://news.ycombinator.com/item?id=48694436</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48694436</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48694436</guid></item><item><title><![CDATA[New comment by mzubairtahir in "Show HN: A GPU/VRAM filter for finding LLMs that will run on your hardware"]]></title><description><![CDATA[
<p>that broken input is fixed</p>
]]></description><pubDate>Fri, 26 Jun 2026 10:27:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=48684871</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48684871</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48684871</guid></item><item><title><![CDATA[New comment by mzubairtahir in "Show HN: A GPU/VRAM filter for finding LLMs that will run on your hardware"]]></title><description><![CDATA[
<p>now that is fixed, please try it</p>
]]></description><pubDate>Fri, 26 Jun 2026 10:26:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=48684868</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48684868</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48684868</guid></item><item><title><![CDATA[New comment by mzubairtahir in "Show HN: A GPU/VRAM filter for finding LLMs that will run on your hardware"]]></title><description><![CDATA[
<p>actually that input is broken. and sorry for that.
and I am adding shared memory features in next iterations.</p>
]]></description><pubDate>Fri, 26 Jun 2026 10:08:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=48684721</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48684721</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48684721</guid></item><item><title><![CDATA[New comment by mzubairtahir in "Show HN: A GPU/VRAM filter for finding LLMs that will run on your hardware"]]></title><description><![CDATA[
<p>actually, currently it is not open source, but I am thinking about making it open source so that other developers can also contribute in it(espeically data layer). what do you think?</p>
]]></description><pubDate>Fri, 26 Jun 2026 10:06:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=48684701</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48684701</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48684701</guid></item><item><title><![CDATA[New comment by mzubairtahir in "Show HN: A GPU/VRAM filter for finding LLMs that will run on your hardware"]]></title><description><![CDATA[
<p>actually that's free by design, it is just broken. fixing it in next sprint. And really thanks for your feedback!!!</p>
]]></description><pubDate>Fri, 26 Jun 2026 10:04:27 +0000</pubDate><link>https://news.ycombinator.com/item?id=48684682</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48684682</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48684682</guid></item><item><title><![CDATA[Show HN: A GPU/VRAM filter for finding LLMs that will run on your hardware]]></title><description><![CDATA[
<p>I kept seeing people ask "Which model i can run on my gpu", "will model X fit on my GPU". Thats why I built a filter on whichllmmodel that lets you search models by what will actually fit on your hardware (8GB, 16GB, 24GB, etc.) at a given quantization level.</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48681981">https://news.ycombinator.com/item?id=48681981</a></p>
<p>Points: 2</p>
<p># Comments: 12</p>
]]></description><pubDate>Fri, 26 Jun 2026 03:17:47 +0000</pubDate><link>https://www.whichllmmodel.com/app/text?local=true</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48681981</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48681981</guid></item><item><title><![CDATA[App to find best model by filtering AI models]]></title><description><![CDATA[
<p>Article URL: <a href="https://which-llm-model.netlify.app/">https://which-llm-model.netlify.app/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48366110">https://news.ycombinator.com/item?id=48366110</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 02 Jun 2026 04:35:26 +0000</pubDate><link>https://which-llm-model.netlify.app/</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=48366110</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48366110</guid></item><item><title><![CDATA[New comment by mzubairtahir in "[dead]"]]></title><description><![CDATA[
<p>I had an intuition that if AI is good at finding patterns, then it should also work for identifying patterns in a human’s writing style. So, I gave it a shot and built a system to replicate human writing, avoiding its usual robotic tone. I first tested the system on Sam Altman’s blog and generated a new article. I think it’s pretty close. So, I thought about sharing it with you guys</p>
]]></description><pubDate>Wed, 05 Mar 2025 01:36:32 +0000</pubDate><link>https://news.ycombinator.com/item?id=43261625</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=43261625</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43261625</guid></item><item><title><![CDATA[New comment by mzubairtahir in "[dead]"]]></title><description><![CDATA[
<p>If you're an active Reddit user, you've probably wanted to use ChatGPT to summarize or analyze threads. But the problem is that ChatGPT usually can't access Reddit data or see threads in their actual form.<p>I made a Chrome extension that lets you scrape Reddit threads in JSON format, so you can easily analyze or summarize them using ChatGPT.</p>
]]></description><pubDate>Sun, 16 Feb 2025 16:12:34 +0000</pubDate><link>https://news.ycombinator.com/item?id=43069121</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=43069121</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43069121</guid></item><item><title><![CDATA[Share Your Experience of Learning a New Library]]></title><description><![CDATA[
<p>Hello, developers and engineers!<p>There are a lot of new libraries and frameworks out there, and many more are coming, especially in AI and AI agents.<p>But when you try a new one, do you feel overwhelmed, frustrated, or lost? Share your experiences!<p>Also, share some open-source libraries that are easy to start with based on their documentation.</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=42980675">https://news.ycombinator.com/item?id=42980675</a></p>
<p>Points: 3</p>
<p># Comments: 1</p>
]]></description><pubDate>Sat, 08 Feb 2025 05:34:13 +0000</pubDate><link>https://news.ycombinator.com/item?id=42980675</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=42980675</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42980675</guid></item><item><title><![CDATA[New comment by mzubairtahir in "Hub for sharing AI generated content(images)"]]></title><description><![CDATA[
<p>Please share your review and feedback</p>
]]></description><pubDate>Thu, 03 Oct 2024 06:17:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=41727803</link><dc:creator>mzubairtahir</dc:creator><comments>https://news.ycombinator.com/item?id=41727803</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41727803</guid></item></channel></rss>