<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: breadislove</title><link>https://news.ycombinator.com/user?id=breadislove</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Thu, 02 Jul 2026 20:38:44 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=breadislove" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by breadislove in "Asymmetric Quantization: Near-Lossless Retrieval with 97% Storage Reduction"]]></title><description><![CDATA[
<p>ah whoops, I'll fix it. ty!</p>
]]></description><pubDate>Thu, 02 Jul 2026 16:01:13 +0000</pubDate><link>https://news.ycombinator.com/item?id=48763500</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=48763500</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48763500</guid></item><item><title><![CDATA[New comment by breadislove in "Asymmetric Quantization: Near-Lossless Retrieval with 97% Storage Reduction"]]></title><description><![CDATA[
<p>The ndcg loss is minimal 90.26 -> 89.65. This means it maintains most of the quality.</p>
]]></description><pubDate>Thu, 02 Jul 2026 15:44:13 +0000</pubDate><link>https://news.ycombinator.com/item?id=48763299</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=48763299</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48763299</guid></item><item><title><![CDATA[New comment by breadislove in "Asymmetric Quantization: Near-Lossless Retrieval with 97% Storage Reduction"]]></title><description><![CDATA[
<p>to which email did you send it? can u send it to support please?</p>
]]></description><pubDate>Thu, 02 Jul 2026 15:37:28 +0000</pubDate><link>https://news.ycombinator.com/item?id=48763212</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=48763212</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48763212</guid></item><item><title><![CDATA[New comment by breadislove in "Asymmetric Quantization: Near-Lossless Retrieval with 97% Storage Reduction"]]></title><description><![CDATA[
<p>this is the reason why we report ndcg and not recall. ndcg respects fine grained details so you get the an overview of how much details you are trading off since it would hurt the ranking.</p>
]]></description><pubDate>Thu, 02 Jul 2026 15:36:23 +0000</pubDate><link>https://news.ycombinator.com/item?id=48763197</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=48763197</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48763197</guid></item><item><title><![CDATA[New comment by breadislove in "Asymmetric Quantization: Near-Lossless Retrieval with 97% Storage Reduction"]]></title><description><![CDATA[
<p>yes exactly.</p>
]]></description><pubDate>Thu, 02 Jul 2026 15:35:06 +0000</pubDate><link>https://news.ycombinator.com/item?id=48763178</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=48763178</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48763178</guid></item><item><title><![CDATA[Asymmetric Quantization: Near-Lossless Retrieval with 97% Storage Reduction]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.mixedbread.com/blog/asymmetric-quant">https://www.mixedbread.com/blog/asymmetric-quant</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48724127">https://news.ycombinator.com/item?id=48724127</a></p>
<p>Points: 98</p>
<p># Comments: 37</p>
]]></description><pubDate>Mon, 29 Jun 2026 19:42:15 +0000</pubDate><link>https://www.mixedbread.com/blog/asymmetric-quant</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=48724127</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48724127</guid></item><item><title><![CDATA[New comment by breadislove in "The Token Compression Illusion: Why I'm Skeptical of RTK"]]></title><description><![CDATA[
<p>slop complaining about other slop</p>
]]></description><pubDate>Thu, 18 Jun 2026 17:52:09 +0000</pubDate><link>https://news.ycombinator.com/item?id=48588944</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=48588944</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48588944</guid></item><item><title><![CDATA[Dense Retrievers Know More Than They Can Express]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.mixedbread.com/blog/latent-terms">https://www.mixedbread.com/blog/latent-terms</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48385900">https://news.ycombinator.com/item?id=48385900</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 03 Jun 2026 16:04:33 +0000</pubDate><link>https://www.mixedbread.com/blog/latent-terms</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=48385900</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48385900</guid></item><item><title><![CDATA[New comment by breadislove in "How we index images for RAG"]]></title><description><![CDATA[
<p>very bad take. with most modern multomodal models you get way better performance then going to text first</p>
]]></description><pubDate>Wed, 03 Jun 2026 01:26:20 +0000</pubDate><link>https://news.ycombinator.com/item?id=48378616</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=48378616</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48378616</guid></item><item><title><![CDATA[New comment by breadislove in "Show HN: Evidex – AI Clinical Search (RAG over PubMed/OpenAlex and SOAP Notes)"]]></title><description><![CDATA[
<p>this might be interesting: <a href="https://www.theinformation.com/articles/chatgpt-doctors-startup-doubles-valuation-12-billion-revenue-surges" rel="nofollow">https://www.theinformation.com/articles/chatgpt-doctors-star...</a><p>> $150M RR on just ads, +3x from August. On <1M users.<p>source: <a href="https://x.com/ArfurRock/status/1999618200024076620" rel="nofollow">https://x.com/ArfurRock/status/1999618200024076620</a></p>
]]></description><pubDate>Mon, 29 Dec 2025 22:10:18 +0000</pubDate><link>https://news.ycombinator.com/item?id=46426382</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=46426382</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46426382</guid></item><item><title><![CDATA[New comment by breadislove in "Show HN: Evidex – AI Clinical Search (RAG over PubMed/OpenAlex and SOAP Notes)"]]></title><description><![CDATA[
<p>a good system (like openevidence) indexes every paper released and semantic search can incredible helpful since the the search api of all those providers are extremely limited in terms of quality.<p>now you get why those system are not cheap. keeping indexes fresh, maintaining high quality at large scale and being extremely precise is challenging. by having distributed indexes you are at the mercy of the api providers and i can tell you from previous experience that it won't be 'currently accurate'.<p>for transparency: i am building a search api, so i am biased. but i also build medical retrieval systems for some time.</p>
]]></description><pubDate>Mon, 29 Dec 2025 22:08:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=46426374</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=46426374</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46426374</guid></item><item><title><![CDATA[The whole point of OpenAI's Responses API is to help them hide reasoning traces]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.seangoedecke.com/responses-api/">https://www.seangoedecke.com/responses-api/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46204456">https://news.ycombinator.com/item?id=46204456</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 09 Dec 2025 12:57:09 +0000</pubDate><link>https://www.seangoedecke.com/responses-api/</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=46204456</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46204456</guid></item><item><title><![CDATA[Boosting Claude: Faster, Clearer Code Analysis with MGrep]]></title><description><![CDATA[
<p>Article URL: <a href="https://elite-ai-assisted-coding.dev/p/boosting-claude-faster-clearer-code">https://elite-ai-assisted-coding.dev/p/boosting-claude-faster-clearer-code</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46036710">https://news.ycombinator.com/item?id=46036710</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 24 Nov 2025 17:37:28 +0000</pubDate><link>https://elite-ai-assisted-coding.dev/p/boosting-claude-faster-clearer-code</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=46036710</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46036710</guid></item><item><title><![CDATA[Show HN: Mgrep – A Semantic, Multimodal Grep]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/mixedbread-ai/mgrep">https://github.com/mixedbread-ai/mgrep</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45998373">https://news.ycombinator.com/item?id=45998373</a></p>
<p>Points: 6</p>
<p># Comments: 1</p>
]]></description><pubDate>Thu, 20 Nov 2025 21:57:00 +0000</pubDate><link>https://github.com/mixedbread-ai/mgrep</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=45998373</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45998373</guid></item><item><title><![CDATA[New comment by breadislove in "Launch HN: Mosaic (YC W25) – Agentic Video Editing"]]></title><description><![CDATA[
<p>you should check mixedbread out. we support indexing multimodal data and making data ready for ai. we are adding video and audio support by the end of the year. might be interesting for the OP as well.<p>we have couple investigative journalists and lawyers using us for a similar usecase.</p>
]]></description><pubDate>Thu, 20 Nov 2025 12:09:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=45991790</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=45991790</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45991790</guid></item><item><title><![CDATA[From Control to Resonance: Why I Let an AI Decode My Voice]]></title><description><![CDATA[
<p>Article URL: <a href="https://substack.com/inbox/post/177015920">https://substack.com/inbox/post/177015920</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45727065">https://news.ycombinator.com/item?id=45727065</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 27 Oct 2025 22:26:56 +0000</pubDate><link>https://substack.com/inbox/post/177015920</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=45727065</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45727065</guid></item><item><title><![CDATA[Meta overhauls legacy AI operations]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.axios.com/2025/10/22/meta-superintelligence-tbd-ai-reorg">https://www.axios.com/2025/10/22/meta-superintelligence-tbd-ai-reorg</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45668731">https://news.ycombinator.com/item?id=45668731</a></p>
<p>Points: 7</p>
<p># Comments: 1</p>
]]></description><pubDate>Wed, 22 Oct 2025 13:21:45 +0000</pubDate><link>https://www.axios.com/2025/10/22/meta-superintelligence-tbd-ai-reorg</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=45668731</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45668731</guid></item><item><title><![CDATA[New comment by breadislove in "BERT is just a single text diffusion step"]]></title><description><![CDATA[
<p>or deberta but nevertheless super interesting!</p>
]]></description><pubDate>Mon, 20 Oct 2025 15:18:21 +0000</pubDate><link>https://news.ycombinator.com/item?id=45644937</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=45644937</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45644937</guid></item><item><title><![CDATA[New comment by breadislove in "DeepSeek OCR"]]></title><description><![CDATA[
<p>For everyone wondering how good this and other benchmarks are:<p>- the OmniAI benchmark is bad<p>- Instead check OmniDocBench[1] out<p>- Mistral OCR is far far behind most Open Source OCR models 
and even further behind then Gemini<p>- End to End OCR is still extremely tricky<p>- composed pipelines work better (layout detection -> reading order -> OCR every element)<p>- complex table parsing is still extremely difficult<p>[1]: <a href="https://github.com/opendatalab/OmniDocBench" rel="nofollow">https://github.com/opendatalab/OmniDocBench</a></p>
]]></description><pubDate>Mon, 20 Oct 2025 12:13:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=45643006</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=45643006</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45643006</guid></item><item><title><![CDATA[New comment by breadislove in "Migrating from AWS to Hetzner"]]></title><description><![CDATA[
<p>we have extremely processing heavy jobs where user upload large collection of files (audios, pdfs, videos etc.) and expect to get fast processing. its just that we need to fan out sometimes, since a lot of our users a sensitive to processing times.</p>
]]></description><pubDate>Fri, 17 Oct 2025 14:44:08 +0000</pubDate><link>https://news.ycombinator.com/item?id=45617361</link><dc:creator>breadislove</dc:creator><comments>https://news.ycombinator.com/item?id=45617361</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45617361</guid></item></channel></rss>