<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: yusufozkan</title><link>https://news.ycombinator.com/user?id=yusufozkan</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 07 Apr 2026 10:37:25 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=yusufozkan" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[ARC-AGI-3 Leaderboard]]></title><description><![CDATA[
<p>Article URL: <a href="https://arcprize.org/leaderboard">https://arcprize.org/leaderboard</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47520530">https://news.ycombinator.com/item?id=47520530</a></p>
<p>Points: 5</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 25 Mar 2026 17:30:57 +0000</pubDate><link>https://arcprize.org/leaderboard</link><dc:creator>yusufozkan</dc:creator><comments>https://news.ycombinator.com/item?id=47520530</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47520530</guid></item><item><title><![CDATA[Harness design for long-running application development]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.anthropic.com/engineering/harness-design-long-running-apps">https://www.anthropic.com/engineering/harness-design-long-running-apps</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47505430">https://news.ycombinator.com/item?id=47505430</a></p>
<p>Points: 5</p>
<p># Comments: 1</p>
]]></description><pubDate>Tue, 24 Mar 2026 16:40:30 +0000</pubDate><link>https://www.anthropic.com/engineering/harness-design-long-running-apps</link><dc:creator>yusufozkan</dc:creator><comments>https://news.ycombinator.com/item?id=47505430</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47505430</guid></item><item><title><![CDATA[A Ramsey-Style Problem on Hypergraphs]]></title><description><![CDATA[
<p>Article URL: <a href="https://epoch.ai/frontiermath/open-problems/ramsey-hypergraphs">https://epoch.ai/frontiermath/open-problems/ramsey-hypergraphs</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47492454">https://news.ycombinator.com/item?id=47492454</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 23 Mar 2026 17:24:13 +0000</pubDate><link>https://epoch.ai/frontiermath/open-problems/ramsey-hypergraphs</link><dc:creator>yusufozkan</dc:creator><comments>https://news.ycombinator.com/item?id=47492454</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47492454</guid></item><item><title><![CDATA[New comment by yusufozkan in "Our Agreement with the Department of War"]]></title><description><![CDATA[
<p>This is the same company that started as a nonprofit dedicated to open AI safety research, then became a capped-profit entity, then effectively closed-source, then dropped the cap, and is now pursuing full for-profit conversion. Every single guardrail they've set for themselves has been quietly revised or removed once it became inconvenient. Anyone want to bet on how long those exclusions last?</p>
]]></description><pubDate>Sat, 28 Feb 2026 20:50:28 +0000</pubDate><link>https://news.ycombinator.com/item?id=47200071</link><dc:creator>yusufozkan</dc:creator><comments>https://news.ycombinator.com/item?id=47200071</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47200071</guid></item><item><title><![CDATA[Firstproof_oai [pdf]]]></title><description><![CDATA[
<p>Article URL: <a href="https://cdn.openai.com/pdf/a430f16e-08c6-49c7-9ed0-ce5368b71d3c/1stproof_oai.pdf">https://cdn.openai.com/pdf/a430f16e-08c6-49c7-9ed0-ce5368b71d3c/1stproof_oai.pdf</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47013427">https://news.ycombinator.com/item?id=47013427</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Sat, 14 Feb 2026 10:37:17 +0000</pubDate><link>https://cdn.openai.com/pdf/a430f16e-08c6-49c7-9ed0-ce5368b71d3c/1stproof_oai.pdf</link><dc:creator>yusufozkan</dc:creator><comments>https://news.ycombinator.com/item?id=47013427</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47013427</guid></item><item><title><![CDATA[1X World Model – From Video to Action: A New Way Robots Learn]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.1x.tech/discover/world-model-self-learning">https://www.1x.tech/discover/world-model-self-learning</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46590896">https://news.ycombinator.com/item?id=46590896</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 12 Jan 2026 16:42:24 +0000</pubDate><link>https://www.1x.tech/discover/world-model-self-learning</link><dc:creator>yusufozkan</dc:creator><comments>https://news.ycombinator.com/item?id=46590896</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46590896</guid></item><item><title><![CDATA[New comment by yusufozkan in "The Llama 4 herd"]]></title><description><![CDATA[
<p>> while pre-training our Llama 4 Behemoth model using FP8 and 32K GPUs<p>I thought they used a lot more GPUs to train frontier models (e.g. xAi training on 100k). Can someone explain why they are using so few?</p>
]]></description><pubDate>Sat, 05 Apr 2025 19:14:25 +0000</pubDate><link>https://news.ycombinator.com/item?id=43596052</link><dc:creator>yusufozkan</dc:creator><comments>https://news.ycombinator.com/item?id=43596052</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43596052</guid></item><item><title><![CDATA[New comment by yusufozkan in "4o Image Generation"]]></title><description><![CDATA[
<p>This is another cool example from their blog<p><a href="https://imgur.com/a/Svfuuf5" rel="nofollow">https://imgur.com/a/Svfuuf5</a></p>
]]></description><pubDate>Tue, 25 Mar 2025 20:19:16 +0000</pubDate><link>https://news.ycombinator.com/item?id=43475474</link><dc:creator>yusufozkan</dc:creator><comments>https://news.ycombinator.com/item?id=43475474</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43475474</guid></item><item><title><![CDATA[New comment by yusufozkan in "4o Image Generation"]]></title><description><![CDATA[
<p>Generating an image of a completely full glass of wine has been one of the popular limitations of image generators, the reason being neural networks struggling to generalise outside of their training data (there are almost no pictures on the internet of a glass "full" of wine). It seems they implemented some reasoning over images to overcome that.</p>
]]></description><pubDate>Tue, 25 Mar 2025 20:17:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=43475455</link><dc:creator>yusufozkan</dc:creator><comments>https://news.ycombinator.com/item?id=43475455</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43475455</guid></item><item><title><![CDATA[New comment by yusufozkan in "4o Image Generation"]]></title><description><![CDATA[
<p>Are you sure you are using the new 4o image generation?<p><a href="https://imgur.com/a/wGkBa0v" rel="nofollow">https://imgur.com/a/wGkBa0v</a></p>
]]></description><pubDate>Tue, 25 Mar 2025 20:10:38 +0000</pubDate><link>https://news.ycombinator.com/item?id=43475371</link><dc:creator>yusufozkan</dc:creator><comments>https://news.ycombinator.com/item?id=43475371</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43475371</guid></item></channel></rss>