<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: KhoomeiK</title><link>https://news.ycombinator.com/user?id=KhoomeiK</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Thu, 27 Aug 2026 22:08:40 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=KhoomeiK" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by KhoomeiK in "Diffusion models are real-time game engines"]]></title><description><![CDATA[
<p>NVIDIA did something similar with GANs in 2020 [1], except users <i>could</i> actually play those games (unlike in this diffusion work which just plays back simulated video). Sentdex later adapted this to play GTA with a really cool demo [2].<p>[1] <a href="https://research.nvidia.com/labs/toronto-ai/gameGAN/" rel="nofollow">https://research.nvidia.com/labs/toronto-ai/gameGAN/</a><p>[2] <a href="https://www.youtube.com/watch?v=udPY5rQVoW0" rel="nofollow">https://www.youtube.com/watch?v=udPY5rQVoW0</a></p>
]]></description><pubDate>Wed, 28 Aug 2024 17:30:15 +0000</pubDate><link>https://news.ycombinator.com/item?id=41381892</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=41381892</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41381892</guid></item><item><title><![CDATA[Show HN: Multimodal Code Generation for Web Data Extraction]]></title><description><![CDATA[
<p>Article URL: <a href="https://twitter.com/khoomeik/status/1810727750313070647">https://twitter.com/khoomeik/status/1810727750313070647</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=40919203">https://news.ycombinator.com/item?id=40919203</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 09 Jul 2024 18:19:46 +0000</pubDate><link>https://twitter.com/khoomeik/status/1810727750313070647</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40919203</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40919203</guid></item><item><title><![CDATA[New comment by KhoomeiK in "Introduction to Program Synthesis"]]></title><description><![CDATA[
<p>Everything relevant in "program synthesis" moved to the new buzzword "codegen"</p>
]]></description><pubDate>Thu, 04 Jul 2024 02:16:38 +0000</pubDate><link>https://news.ycombinator.com/item?id=40871814</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40871814</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40871814</guid></item><item><title><![CDATA[New comment by KhoomeiK in "Show HN: Revideo – Create Videos with Code"]]></title><description><![CDATA[
<p>Interesting—LangChain seemed kinda like unnecessary abstractions in natural language (since everything is just string manipulations), but with AI video, there's so many different abstractions that I'd need to handle (images, puppeting, facegen, voicegen, etc).<p>Seems like there might be room for a "LangChain for Video" in this space...</p>
]]></description><pubDate>Tue, 11 Jun 2024 17:45:28 +0000</pubDate><link>https://news.ycombinator.com/item?id=40649290</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40649290</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40649290</guid></item><item><title><![CDATA[New comment by KhoomeiK in "Atash Behram – Types of Fire"]]></title><description><![CDATA[
<p>Just unrolled the thread for you here!<p><a href="https://threadreaderapp.com/thread/1794082465398812770.html" rel="nofollow">https://threadreaderapp.com/thread/1794082465398812770.html</a></p>
]]></description><pubDate>Wed, 05 Jun 2024 18:49:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=40588777</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40588777</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40588777</guid></item><item><title><![CDATA[New comment by KhoomeiK in "Atash Behram – Types of Fire"]]></title><description><![CDATA[
<p>Thanks! I have no idea—unfortunately, very few Hindus maintain the Vedic fire rites. There are also no active central authorities on matters of Vedic ritual. The only plan of now is to use this interpretation in my own yajña practice.</p>
]]></description><pubDate>Wed, 05 Jun 2024 06:08:25 +0000</pubDate><link>https://news.ycombinator.com/item?id=40581833</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40581833</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40581833</guid></item><item><title><![CDATA[New comment by KhoomeiK in "Atash Behram – Types of Fire"]]></title><description><![CDATA[
<p>Vedic Hinduism had a similar concept of eternal fire. I recently wrote up a twitter thread [1] explaining how the modern interpretation of Vedic instructions on starting these sacred fires misunderstands the text.<p>Etymology tidbit: "Bhārata", India's Sanskrit name, refers to the forerunner clan that established India's first historically recorded political entity—the Kuru Kingdom—around 1200 BC near modern Delhi. The clan itself was named "Bhārata" due to their ardent <i>bearing</i> ("bhar-" in Sanskrit) of the sacred fire.<p>[1] <a href="https://x.com/khoomeik/status/1794082465398812770" rel="nofollow">https://x.com/khoomeik/status/1794082465398812770</a></p>
]]></description><pubDate>Wed, 05 Jun 2024 02:52:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=40580946</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40580946</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40580946</guid></item><item><title><![CDATA[Show HN: Chinchilla Scaling Laws Are Not Universal]]></title><description><![CDATA[
<p>Hey HN! Chinchilla (DeepMind 2022) tells us that when we scale up our language model training, we should scale the parameters and data equally.<p>Over the last several months I've been hacking on a research project to determine if the optimal compute allocation (scaling law) for training an LLM is sensitive to training data complexity. I found that as data complexity increases, you need even more data than Chinchilla suggests!<p>I released the preprint just yesterday: <a href="https://arxiv.org/abs/2405.16684" rel="nofollow">https://arxiv.org/abs/2405.16684</a></p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=40504084">https://news.ycombinator.com/item?id=40504084</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 28 May 2024 18:48:42 +0000</pubDate><link>https://github.com/KhoomeiK/complexity-scaling</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40504084</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40504084</guid></item><item><title><![CDATA[Scaling Laws Depend on Data Compressibility]]></title><description><![CDATA[
<p>Article URL: <a href="https://twitter.com/khoomeik/status/1795477359933706272">https://twitter.com/khoomeik/status/1795477359933706272</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=40503250">https://news.ycombinator.com/item?id=40503250</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 28 May 2024 17:35:23 +0000</pubDate><link>https://twitter.com/khoomeik/status/1795477359933706272</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40503250</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40503250</guid></item><item><title><![CDATA[Gzip Predicts Data-Dependent Scaling Laws]]></title><description><![CDATA[
<p>Article URL: <a href="https://arxiv.org/abs/2405.16684">https://arxiv.org/abs/2405.16684</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=40503161">https://news.ycombinator.com/item?id=40503161</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 28 May 2024 17:28:15 +0000</pubDate><link>https://arxiv.org/abs/2405.16684</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40503161</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40503161</guid></item><item><title><![CDATA[SB-1047 regulates all LLM's after training a suboptimal 1e26 FLOP model]]></title><description><![CDATA[
<p>Article URL: <a href="https://twitter.com/khoomeik/status/1794751305615077767">https://twitter.com/khoomeik/status/1794751305615077767</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=40486183">https://news.ycombinator.com/item?id=40486183</a></p>
<p>Points: 4</p>
<p># Comments: 0</p>
]]></description><pubDate>Sun, 26 May 2024 23:02:21 +0000</pubDate><link>https://twitter.com/khoomeik/status/1794751305615077767</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40486183</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40486183</guid></item><item><title><![CDATA[How to kindle a fire: solving an 800 year old puzzle in Vedic ritual exegesis]]></title><description><![CDATA[
<p>Article URL: <a href="https://twitter.com/khoomeik/status/1794082465398812770">https://twitter.com/khoomeik/status/1794082465398812770</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=40469500">https://news.ycombinator.com/item?id=40469500</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 24 May 2024 19:09:48 +0000</pubDate><link>https://twitter.com/khoomeik/status/1794082465398812770</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40469500</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40469500</guid></item><item><title><![CDATA[How to kindle a fire: solving an 800 year old puzzle in Vedic ritual exegesis]]></title><description><![CDATA[
<p>Article URL: <a href="https://twitter.com/khoomeik/status/1793917692342358338">https://twitter.com/khoomeik/status/1793917692342358338</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=40464097">https://news.ycombinator.com/item?id=40464097</a></p>
<p>Points: 2</p>
<p># Comments: 1</p>
]]></description><pubDate>Fri, 24 May 2024 08:18:28 +0000</pubDate><link>https://twitter.com/khoomeik/status/1793917692342358338</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40464097</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40464097</guid></item><item><title><![CDATA[New comment by KhoomeiK in "Show HN: Tarsier – Vision utilities for web interaction agents"]]></title><description><![CDATA[
<p>Maybe this project another commenter is working on?<p><a href="https://news.ycombinator.com/item?id=40373310">https://news.ycombinator.com/item?id=40373310</a></p>
]]></description><pubDate>Thu, 16 May 2024 17:02:00 +0000</pubDate><link>https://news.ycombinator.com/item?id=40380627</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40380627</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40380627</guid></item><item><title><![CDATA[New comment by KhoomeiK in "Show HN: Tarsier – Vision utilities for web interaction agents"]]></title><description><![CDATA[
<p>Awesome pics! We love tarsiers too</p>
]]></description><pubDate>Thu, 16 May 2024 17:00:12 +0000</pubDate><link>https://news.ycombinator.com/item?id=40380598</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40380598</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40380598</guid></item><item><title><![CDATA[New comment by KhoomeiK in "Show HN: Tarsier – Vision utilities for web interaction agents"]]></title><description><![CDATA[
<p>Great question! See this thread:<p><a href="https://news.ycombinator.com/item?id=40369713">https://news.ycombinator.com/item?id=40369713</a></p>
]]></description><pubDate>Thu, 16 May 2024 01:04:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=40374173</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40374173</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40374173</guid></item><item><title><![CDATA[New comment by KhoomeiK in "Show HN: Tarsier – Vision utilities for web interaction agents"]]></title><description><![CDATA[
<p>Yes it does work headless and we do grab a fullpage screenshot including scrolling (by resizing viewport to content height). We haven’t had to deal with infinite scrolling much but that’s an interesting feature we’d appreciate a PR for.<p>We haven’t tried Apple’s OCR but hopefully will integrate Azure OCR soon based on others’ advice.</p>
]]></description><pubDate>Thu, 16 May 2024 01:03:52 +0000</pubDate><link>https://news.ycombinator.com/item?id=40374169</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40374169</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40374169</guid></item><item><title><![CDATA[New comment by KhoomeiK in "Show HN: Tarsier – Vision utilities for web interaction agents"]]></title><description><![CDATA[
<p>They do show textboxes with labels. From our readme:<p>"Keep in mind that Tarsier tags different types of elements differently to help your LLM identify what actions are performable on each element. Specifically:<p>[#ID]: text-insertable fields (e.g. textarea, input with textual type)<p>[@ID]: hyperlinks (<a> tags)<p>[$ID]: other interactable elements (e.g. button, select)<p>[ID]: plain text (if you pass tag_text_elements=True)"<p>Do you see the search boxes labeled [#4] and [#5] at the top? And before you say that the tag is on a different line from the placeholder text—yes, and our agent is smart enough to handle that minor idiosyncrasy. Are you shocked? :)</p>
]]></description><pubDate>Wed, 15 May 2024 20:23:49 +0000</pubDate><link>https://news.ycombinator.com/item?id=40371931</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40371931</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40371931</guid></item><item><title><![CDATA[New comment by KhoomeiK in "Show HN: Tarsier – Vision utilities for web interaction agents"]]></title><description><![CDATA[
<p>We have a lot more powerful use-cases for Tarsier in web data extraction at the moment. Stay tuned for a broader launch soon!</p>
]]></description><pubDate>Wed, 15 May 2024 20:15:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=40371832</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40371832</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40371832</guid></item><item><title><![CDATA[New comment by KhoomeiK in "Show HN: Tarsier – Vision utilities for web interaction agents"]]></title><description><![CDATA[
<p>We run OCR on the screenshot & convert it to whitespace-structured text, that is passed to the LLM. The images below might make it clearer for you:<p>[1] <a href="https://github.com/reworkd/tarsier/blob/main/.github/assets/tagged.png">https://github.com/reworkd/tarsier/blob/main/.github/assets/...</a><p>[2] <a href="https://github.com/reworkd/tarsier/blob/main/.github/assets/tagged_text.png">https://github.com/reworkd/tarsier/blob/main/.github/assets/...</a></p>
]]></description><pubDate>Wed, 15 May 2024 19:44:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=40371469</link><dc:creator>KhoomeiK</dc:creator><comments>https://news.ycombinator.com/item?id=40371469</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40371469</guid></item></channel></rss>