<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: olibaw</title><link>https://news.ycombinator.com/user?id=olibaw</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sun, 12 Jul 2026 03:28:00 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=olibaw" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by olibaw in "Show HN: Gemini Pro 3 imagines the HN front page 10 years from now"]]></title><description><![CDATA[
<p>The Gary Marcus headline is perfect.</p>
]]></description><pubDate>Wed, 10 Dec 2025 15:46:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=46219082</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=46219082</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46219082</guid></item><item><title><![CDATA[Compiler optimizations for 5.8ms GPT-OSS-120B inference (not on GPUs)]]></title><description><![CDATA[
<p>Article URL: <a href="https://furiosa.ai/blog/serving-gpt-oss-120b-at-5-8-ms-tpot-with-two-rngd-cards-compiler-optimizations-in-practice">https://furiosa.ai/blog/serving-gpt-oss-120b-at-5-8-ms-tpot-with-two-rngd-cards-compiler-optimizations-in-practice</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45620483">https://news.ycombinator.com/item?id=45620483</a></p>
<p>Points: 9</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 17 Oct 2025 18:51:16 +0000</pubDate><link>https://furiosa.ai/blog/serving-gpt-oss-120b-at-5-8-ms-tpot-with-two-rngd-cards-compiler-optimizations-in-practice</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=45620483</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45620483</guid></item><item><title><![CDATA[Say "But Yes", Not "Yes But"]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.seangoedecke.com/but-yes-not-yes-but/">https://www.seangoedecke.com/but-yes-not-yes-but/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=44269988">https://news.ycombinator.com/item?id=44269988</a></p>
<p>Points: 4</p>
<p># Comments: 1</p>
]]></description><pubDate>Fri, 13 Jun 2025 16:32:53 +0000</pubDate><link>https://www.seangoedecke.com/but-yes-not-yes-but/</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=44269988</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44269988</guid></item><item><title><![CDATA[New comment by olibaw in "Ask HN: Cursor vs. Windsurf?"]]></title><description><![CDATA[
<p>This isn't shockingly original advice, but it did spur me to stop overthinking it and just spend some time with 'em. Tx!</p>
]]></description><pubDate>Thu, 13 Mar 2025 19:00:45 +0000</pubDate><link>https://news.ycombinator.com/item?id=43356269</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=43356269</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43356269</guid></item><item><title><![CDATA[New comment by olibaw in "We were wrong about GPUs"]]></title><description><![CDATA[
<p>What a great blog post. Hope you figure it out, Fly.io. "If you will it, it is no dream."</p>
]]></description><pubDate>Tue, 18 Feb 2025 17:25:32 +0000</pubDate><link>https://news.ycombinator.com/item?id=43092450</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=43092450</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43092450</guid></item><item><title><![CDATA[FuriosaAI unveils RNGD inference NPU: 512 TOPS (FP8) 150W TDP]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.eetimes.com/furiosa-targets-llm-inference-with-second-gen-chip/">https://www.eetimes.com/furiosa-targets-llm-inference-with-second-gen-chip/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41361160">https://news.ycombinator.com/item?id=41361160</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 26 Aug 2024 19:54:55 +0000</pubDate><link>https://www.eetimes.com/furiosa-targets-llm-inference-with-second-gen-chip/</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=41361160</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41361160</guid></item><item><title><![CDATA[New comment by olibaw in "A simple circuit could offer an alternative to energy-intensive GPUs"]]></title><description><![CDATA[
<p>This is a nice side effect of the NVIDIA stock boom: lots of smart people getting funding to try interesting new chip designs.</p>
]]></description><pubDate>Thu, 06 Jun 2024 17:15:00 +0000</pubDate><link>https://news.ycombinator.com/item?id=40599917</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=40599917</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40599917</guid></item><item><title><![CDATA[High-performance self-supervised image classification]]></title><description><![CDATA[
<p>Article URL: <a href="https://ai.facebook.com/blog/high-performance-self-supervised-image-classification-with-contrastive-clustering/">https://ai.facebook.com/blog/high-performance-self-supervised-image-classification-with-contrastive-clustering/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=23898558">https://news.ycombinator.com/item?id=23898558</a></p>
<p>Points: 22</p>
<p># Comments: 2</p>
]]></description><pubDate>Mon, 20 Jul 2020 15:09:02 +0000</pubDate><link>https://ai.facebook.com/blog/high-performance-self-supervised-image-classification-with-contrastive-clustering/</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=23898558</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=23898558</guid></item><item><title><![CDATA[A state-of-the-art, self-supervised framework for video understanding]]></title><description><![CDATA[
<p>Article URL: <a href="https://ai.facebook.com/blog/a-state-of-the-art-self-supervised-framework-for-video-understanding/">https://ai.facebook.com/blog/a-state-of-the-art-self-supervised-framework-for-video-understanding/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=23643047">https://news.ycombinator.com/item?id=23643047</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 25 Jun 2020 17:22:18 +0000</pubDate><link>https://ai.facebook.com/blog/a-state-of-the-art-self-supervised-framework-for-video-understanding/</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=23643047</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=23643047</guid></item><item><title><![CDATA[Deepfake Detection Challenge Results]]></title><description><![CDATA[
<p>Article URL: <a href="https://ai.facebook.com/blog/deepfake-detection-challenge-results-an-open-initiative-to-advance-ai">https://ai.facebook.com/blog/deepfake-detection-challenge-results-an-open-initiative-to-advance-ai</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=23500000">https://news.ycombinator.com/item?id=23500000</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 12 Jun 2020 15:08:47 +0000</pubDate><link>https://ai.facebook.com/blog/deepfake-detection-challenge-results-an-open-initiative-to-advance-ai</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=23500000</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=23500000</guid></item><item><title><![CDATA[Analyzing pretraining approaches for vision and language tasks]]></title><description><![CDATA[
<p>Article URL: <a href="https://ai.facebook.com/blog/analyzing-pretraining-approaches-for-vision-and-language-tasks">https://ai.facebook.com/blog/analyzing-pretraining-approaches-for-vision-and-language-tasks</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=23353417">https://news.ycombinator.com/item?id=23353417</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 29 May 2020 18:06:08 +0000</pubDate><link>https://ai.facebook.com/blog/analyzing-pretraining-approaches-for-vision-and-language-tasks</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=23353417</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=23353417</guid></item><item><title><![CDATA[End-to-end object detection with Transformers]]></title><description><![CDATA[
<p>Article URL: <a href="https://ai.facebook.com/blog/end-to-end-object-detection-with-transformers">https://ai.facebook.com/blog/end-to-end-object-detection-with-transformers</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=23329073">https://news.ycombinator.com/item?id=23329073</a></p>
<p>Points: 5</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 27 May 2020 19:56:12 +0000</pubDate><link>https://ai.facebook.com/blog/end-to-end-object-detection-with-transformers</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=23329073</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=23329073</guid></item><item><title><![CDATA[Using AI to advance product understanding and building new shopping experiences]]></title><description><![CDATA[
<p>Article URL: <a href="https://ai.facebook.com/blog/powered-by-ai-advancing-product-understanding-and-building-new-shopping-experiences">https://ai.facebook.com/blog/powered-by-ai-advancing-product-understanding-and-building-new-shopping-experiences</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=23237806">https://news.ycombinator.com/item?id=23237806</a></p>
<p>Points: 4</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 19 May 2020 17:45:46 +0000</pubDate><link>https://ai.facebook.com/blog/powered-by-ai-advancing-product-understanding-and-building-new-shopping-experiences</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=23237806</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=23237806</guid></item><item><title><![CDATA[A new state-of-the-art open source chatbot]]></title><description><![CDATA[
<p>Article URL: <a href="https://ai.facebook.com/blog/state-of-the-art-open-source-chatbot">https://ai.facebook.com/blog/state-of-the-art-open-source-chatbot</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=23020222">https://news.ycombinator.com/item?id=23020222</a></p>
<p>Points: 36</p>
<p># Comments: 7</p>
]]></description><pubDate>Wed, 29 Apr 2020 15:15:24 +0000</pubDate><link>https://ai.facebook.com/blog/state-of-the-art-open-source-chatbot</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=23020222</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=23020222</guid></item><item><title><![CDATA[Using integrated ML to deliver low-latency mobile VR graphics]]></title><description><![CDATA[
<p>Article URL: <a href="https://ai.facebook.com/blog/using-integrated-ml-to-deliver-low-latency-mobile-vr-graphics/">https://ai.facebook.com/blog/using-integrated-ml-to-deliver-low-latency-mobile-vr-graphics/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=22496874">https://news.ycombinator.com/item?id=22496874</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 05 Mar 2020 19:05:59 +0000</pubDate><link>https://ai.facebook.com/blog/using-integrated-ml-to-deliver-low-latency-mobile-vr-graphics/</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=22496874</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=22496874</guid></item><item><title><![CDATA[Turning any 2D photo into 3D using convolutional neural nets]]></title><description><![CDATA[
<p>Article URL: <a href="https://ai.facebook.com/blog/-powered-by-ai-turning-any-2d-photo-into-3d-using-convolutional-neural-nets/">https://ai.facebook.com/blog/-powered-by-ai-turning-any-2d-photo-into-3d-using-convolutional-neural-nets/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=22444311">https://news.ycombinator.com/item?id=22444311</a></p>
<p>Points: 12</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 28 Feb 2020 17:14:31 +0000</pubDate><link>https://ai.facebook.com/blog/-powered-by-ai-turning-any-2d-photo-into-3d-using-convolutional-neural-nets/</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=22444311</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=22444311</guid></item><item><title><![CDATA[Poincaré maps: Hyperbolic embeddings to understand how cells develop]]></title><description><![CDATA[
<p>Article URL: <a href="https://ai.facebook.com/blog/poincare-maps-hyperbolic-embeddings-to-understand-how-cells-develop/">https://ai.facebook.com/blog/poincare-maps-hyperbolic-embeddings-to-understand-how-cells-develop/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=22434891">https://news.ycombinator.com/item?id=22434891</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Thu, 27 Feb 2020 16:44:04 +0000</pubDate><link>https://ai.facebook.com/blog/poincare-maps-hyperbolic-embeddings-to-understand-how-cells-develop/</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=22434891</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=22434891</guid></item><item><title><![CDATA[FastMRI leverages adversarial training to remove image artifacts]]></title><description><![CDATA[
<p>Article URL: <a href="https://ai.facebook.com/blog/fastmri-leverages-adversarial-learning-to-remove-image-artifacts/">https://ai.facebook.com/blog/fastmri-leverages-adversarial-learning-to-remove-image-artifacts/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=22416677">https://news.ycombinator.com/item?id=22416677</a></p>
<p>Points: 95</p>
<p># Comments: 52</p>
]]></description><pubDate>Tue, 25 Feb 2020 19:49:20 +0000</pubDate><link>https://ai.facebook.com/blog/fastmri-leverages-adversarial-learning-to-remove-image-artifacts/</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=22416677</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=22416677</guid></item><item><title><![CDATA[Using ‘radioactive data’ to detect if a data set was used for training]]></title><description><![CDATA[
<p>Article URL: <a href="https://ai.facebook.com/blog/using-radioactive-data-to-detect-if-a-data-set-was-used-for-training/">https://ai.facebook.com/blog/using-radioactive-data-to-detect-if-a-data-set-was-used-for-training/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=22248329">https://news.ycombinator.com/item?id=22248329</a></p>
<p>Points: 162</p>
<p># Comments: 26</p>
]]></description><pubDate>Wed, 05 Feb 2020 16:30:01 +0000</pubDate><link>https://ai.facebook.com/blog/using-radioactive-data-to-detect-if-a-data-set-was-used-for-training/</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=22248329</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=22248329</guid></item><item><title><![CDATA[A new framework for training state-of-the-art visual classification models]]></title><description><![CDATA[
<p>Article URL: <a href="https://ai.facebook.com/blog/a-new-framework-for-large-scale-training-of-state-of-the-art-visual-classification-models/">https://ai.facebook.com/blog/a-new-framework-for-large-scale-training-of-state-of-the-art-visual-classification-models/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=21725955">https://news.ycombinator.com/item?id=21725955</a></p>
<p>Points: 16</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 06 Dec 2019 21:03:57 +0000</pubDate><link>https://ai.facebook.com/blog/a-new-framework-for-large-scale-training-of-state-of-the-art-visual-classification-models/</link><dc:creator>olibaw</dc:creator><comments>https://news.ycombinator.com/item?id=21725955</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=21725955</guid></item></channel></rss>