<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: leodriesch</title><link>https://news.ycombinator.com/user?id=leodriesch</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Fri, 05 Jun 2026 03:14:53 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=leodriesch" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by leodriesch in "Qwen VLo: From “Understanding” the World to “Depicting” It"]]></title><description><![CDATA[
<p>That's what I really like about Flux Kontext, it has similar editing capabilities to the multimodal models, but doesn't mess up the details. The editing with gpt-image-1 only really works for complete style changes like "make this ghibli", but not adding glasses to a photorealistic image and have it retain all the details.</p>
]]></description><pubDate>Fri, 27 Jun 2025 16:25:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=44398092</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=44398092</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44398092</guid></item><item><title><![CDATA[Absolute Zero: Reinforced Self-Play Reasoning with Zero Data]]></title><description><![CDATA[
<p>Article URL: <a href="https://arxiv.org/abs/2505.03335">https://arxiv.org/abs/2505.03335</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=43951985">https://news.ycombinator.com/item?id=43951985</a></p>
<p>Points: 88</p>
<p># Comments: 19</p>
]]></description><pubDate>Sun, 11 May 2025 07:07:26 +0000</pubDate><link>https://arxiv.org/abs/2505.03335</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=43951985</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43951985</guid></item><item><title><![CDATA[Does RL Incentivize Reasoning in LLMs Beyond the Base Model?]]></title><description><![CDATA[
<p>Article URL: <a href="https://limit-of-rlvr.github.io/">https://limit-of-rlvr.github.io/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=43760625">https://news.ycombinator.com/item?id=43760625</a></p>
<p>Points: 84</p>
<p># Comments: 38</p>
]]></description><pubDate>Tue, 22 Apr 2025 10:24:37 +0000</pubDate><link>https://limit-of-rlvr.github.io/</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=43760625</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43760625</guid></item><item><title><![CDATA[New comment by leodriesch in "SAM 2: Segment Anything in Images and Videos"]]></title><description><![CDATA[
<p>I got SAM 1 to work with MPS device on my MacBook Pro M1, don’t know if it works with this one too.</p>
]]></description><pubDate>Tue, 30 Jul 2024 12:33:33 +0000</pubDate><link>https://news.ycombinator.com/item?id=41108486</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=41108486</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41108486</guid></item><item><title><![CDATA[New comment by leodriesch in "SAM 2: Segment Anything in Images and Videos"]]></title><description><![CDATA[
<p>I ran it with 3040x3040px images on my MacBook M1 Pro in about 9 seconds + 200ms or so for the masking.</p>
]]></description><pubDate>Tue, 30 Jul 2024 12:10:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=41108302</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=41108302</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41108302</guid></item><item><title><![CDATA[New comment by leodriesch in "SAM 2: Segment Anything in Images and Videos"]]></title><description><![CDATA[
<p>I’d guess testing hardware is same as training hardware, so A100. If it was on a mobile device they would have definitely said that.</p>
]]></description><pubDate>Tue, 30 Jul 2024 07:35:51 +0000</pubDate><link>https://news.ycombinator.com/item?id=41106891</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=41106891</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41106891</guid></item><item><title><![CDATA[New comment by leodriesch in "Apple's On-Device and Server Foundation Models"]]></title><description><![CDATA[
<p>I think it’s fair to leave it out in the on-device model comparison. 3b is much smaller than 8b, it is obviously not going to be as good as llama 3 if they did not make groundbreaking advancements with the technology.</p>
]]></description><pubDate>Mon, 10 Jun 2024 23:52:15 +0000</pubDate><link>https://news.ycombinator.com/item?id=40640688</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=40640688</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40640688</guid></item><item><title><![CDATA[New comment by leodriesch in "Using a LLM to compress text"]]></title><description><![CDATA[
<p>The model is always wrong, since it predicts a propability distribution over all possible tokens, but the target has 100% possibility for one token and 0 for all others.</p>
]]></description><pubDate>Sun, 05 May 2024 11:39:32 +0000</pubDate><link>https://news.ycombinator.com/item?id=40264086</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=40264086</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40264086</guid></item><item><title><![CDATA[New comment by leodriesch in "Level of Gaussians: Real-Time View Synthesis for Millions of Square Meters"]]></title><description><![CDATA[
<p>I am really impressed by the Apple Maps implementation. I think it also uses textured polygons, but does so in a very good looking way and at 120 fps on an iPhone, showing even a whole city in textured 3d.</p>
]]></description><pubDate>Wed, 01 May 2024 00:59:24 +0000</pubDate><link>https://news.ycombinator.com/item?id=40218372</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=40218372</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40218372</guid></item><item><title><![CDATA[New comment by leodriesch in "Can we RAG the whole web?"]]></title><description><![CDATA[
<p>Brave Search also has one <a href="https://brave.com/search/api/" rel="nofollow">https://brave.com/search/api/</a></p>
]]></description><pubDate>Tue, 30 Apr 2024 18:04:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=40214077</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=40214077</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40214077</guid></item><item><title><![CDATA[New comment by leodriesch in "CoreNet: A library for training deep neural networks"]]></title><description><![CDATA[
<p>How does this compare to MLX? As far as I understand MLX is equivalent to PyTorch but optimized for Apple Silicon.<p>Is this meant for training MLX models in a distributed manner? Or what is its purpose?</p>
]]></description><pubDate>Wed, 24 Apr 2024 03:56:26 +0000</pubDate><link>https://news.ycombinator.com/item?id=40140379</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=40140379</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40140379</guid></item><item><title><![CDATA[New comment by leodriesch in "Stable-Audio-Demo"]]></title><description><![CDATA[
<p>I'd say most are thinking of Midjourneys success in image generation when talking about this kind of progress.</p>
]]></description><pubDate>Tue, 13 Feb 2024 09:48:18 +0000</pubDate><link>https://news.ycombinator.com/item?id=39356108</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=39356108</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=39356108</guid></item><item><title><![CDATA[New comment by leodriesch in "OpenAI drops ban on military tools to partner with The Pentagon"]]></title><description><![CDATA[
<p>I’d say talent? Outside of OpenAI no team has been able to release a model as capable as GPT-4, and I’m unsure if the CIA has been prioritizing LLM experts in their hiring.</p>
]]></description><pubDate>Wed, 17 Jan 2024 00:21:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=39021268</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=39021268</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=39021268</guid></item><item><title><![CDATA[New comment by leodriesch in "Mistral "Mixtral" 8x7B 32k model [magnet]"]]></title><description><![CDATA[
<p>Could you link me to a finetune optimized for function calling? I was looking for one a few weeks ago but did not find any.</p>
]]></description><pubDate>Sat, 09 Dec 2023 00:03:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=38576642</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=38576642</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38576642</guid></item><item><title><![CDATA[Nothing Chats – Bring on the blue bubbles]]></title><description><![CDATA[
<p>Article URL: <a href="https://us.nothing.tech/pages/nothing-chats">https://us.nothing.tech/pages/nothing-chats</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=38265251">https://news.ycombinator.com/item?id=38265251</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 14 Nov 2023 16:17:24 +0000</pubDate><link>https://us.nothing.tech/pages/nothing-chats</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=38265251</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38265251</guid></item><item><title><![CDATA[New comment by leodriesch in "Show HN: LLaVaVision: An AI "Be My Eyes"-like web app with a llama.cpp backend"]]></title><description><![CDATA[
<p>The purple icon in the shared transcript indicates GPT-4.</p>
]]></description><pubDate>Mon, 06 Nov 2023 12:46:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=38161854</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=38161854</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38161854</guid></item><item><title><![CDATA[Grok, an AI Modeled After the Hitchhiker's Guide to the Galaxy]]></title><description><![CDATA[
<p>Article URL: <a href="https://twitter.com/xai/status/1721027348970238035?s=12">https://twitter.com/xai/status/1721027348970238035?s=12</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=38150695">https://news.ycombinator.com/item?id=38150695</a></p>
<p>Points: 5</p>
<p># Comments: 2</p>
]]></description><pubDate>Sun, 05 Nov 2023 12:50:52 +0000</pubDate><link>https://twitter.com/xai/status/1721027348970238035?s=12</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=38150695</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38150695</guid></item><item><title><![CDATA[New comment by leodriesch in "Dot by New Computer"]]></title><description><![CDATA[
<p>It’s a movie about a humanlike personal AI companion.<p><a href="https://m.imdb.com/title/tt1798709/" rel="nofollow noreferrer">https://m.imdb.com/title/tt1798709/</a></p>
]]></description><pubDate>Wed, 01 Nov 2023 19:47:54 +0000</pubDate><link>https://news.ycombinator.com/item?id=38103881</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=38103881</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38103881</guid></item><item><title><![CDATA[New comment by leodriesch in "Dot by New Computer"]]></title><description><![CDATA[
<p>Their privacy policy lists OpenAI as one of their partners for data processing, which indicates that this is happening not on your device, and data is also shared with third parties.<p>For me this is the main counterargument against apps like these. I want to feel free to post any information into this without thinking about who may read or use it.<p>Local is the only way to go for software like this in my opinion.</p>
]]></description><pubDate>Wed, 01 Nov 2023 19:46:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=38103867</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=38103867</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38103867</guid></item><item><title><![CDATA[New comment by leodriesch in "Google to invest up to $2B in Anthropic"]]></title><description><![CDATA[
<p>This is just a prompting hack you can use with any LLM, not exclusive to Claude. But I do like the fact that they include these tricks in their documentation.</p>
]]></description><pubDate>Sat, 28 Oct 2023 18:05:01 +0000</pubDate><link>https://news.ycombinator.com/item?id=38052026</link><dc:creator>leodriesch</dc:creator><comments>https://news.ycombinator.com/item?id=38052026</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38052026</guid></item></channel></rss>