<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>https://ecency.com</link><image><url>https://ecency.com/logo512.png</url><title>RSS Feed</title><link>https://ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Thu, 23 Jul 2026 06:05:59 GMT</lastBuildDate><atom:link href="https://ecency.com/created/localai/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[The RTX PRO 6000 Blackwell for local AI: is 96GB worth $13,000?]]></title><description><![CDATA[96GB of VRAM sounds like the local AI dream. At $13K, the real question is whether it saves your workflow or just delays a better decision. #AI]]></description><link>https://ecency.com/@popularai/the-rtx-pro-6000-blackwell-for-local-ai-is-96gb-worth-dollar13000</link><guid isPermaLink="true">https://ecency.com/@popularai/the-rtx-pro-6000-blackwell-for-local-ai-is-96gb-worth-dollar13000</guid><category><![CDATA[ai]]></category><dc:creator><![CDATA[popularai]]></dc:creator><pubDate>Fri, 10 Jul 2026 14:33:15 GMT</pubDate><enclosure url="https://i.ecency.com/p/NTy4GV6ooFRmaCXZ8UYgPhoud1kjiNX8QokLEZtbBKLuLWQ9yt7K3o4S896uvt8XBr4hwp9j6erbrycy272Xqk4TX1qagNapRFzYe6W2rV7U7R1GchbXJJEKzCNv56KC2jKRiSHnNfyF2g5qtDwwwFUL87TihBCdqmipg2Gv?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[AI for software engineering. About ASICs for AI, reengaging with syntax, embracing provenance, RVC,  model-in-a-box and what to think about the AI IPOs.]]></title><description><![CDATA[(Image by Gemini AI) This is my third post in the Reverse Vibe-Coding series. If you prefer watching an 8 minute video over reading a 20 minute blog post, check here. This post isn't directly about Reverse]]></description><link>https://ecency.com/@pibara/ai-for-software-engineering-about-asics-for-ai-reengaging-with-syntax-embracing-provenance-rvc-model-in-a-box-and-what-to-think</link><guid isPermaLink="true">https://ecency.com/@pibara/ai-for-software-engineering-about-asics-for-ai-reengaging-with-syntax-embracing-provenance-rvc-model-in-a-box-and-what-to-think</guid><category><![CDATA[ai]]></category><dc:creator><![CDATA[pibara]]></dc:creator><pubDate>Tue, 09 Jun 2026 07:57:09 GMT</pubDate><enclosure url="https://i.ecency.com/p/FUkUE5bzkAZT3HzV5tJDiU2ik81PCd4JCyhWnRcDN8XJsVFY3UNB8DCaMFe45xNGGrVJhPZ2SJWC19id8mRZMS8ox98Kr7snevnUDsnmJaxVs3uaHxvhhM1o7to9rdyc5aXbmmhKf8wCohfRfzTKyfdnweUQyQftvQ6J?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[My Progress wih Local AI - Setting a TINY Model for Open-WebUI's Post-Response Tasks]]></title><description><![CDATA[After trying multiple AI interfaces, including LMStudio, Msty.ai and Koboldcpp's built in UI, I finally settled on Open-WebUI as my daily driver. I installed the Docker version, and linked it to my Koboldcpp's]]></description><link>https://ecency.com/@ahmadmanga/my-progress-wih-local-ai-setting-a-tiny-model-for-openwebuis-postresponse-tasks-9vs</link><guid isPermaLink="true">https://ecency.com/@ahmadmanga/my-progress-wih-local-ai-setting-a-tiny-model-for-openwebuis-postresponse-tasks-9vs</guid><category><![CDATA[hive-163521]]></category><dc:creator><![CDATA[ahmadmanga]]></dc:creator><pubDate>Sun, 04 Jan 2026 08:19:33 GMT</pubDate><enclosure url="https://i.ecency.com/p/62PdCouTvNPDFdqJorCLnfauvZdwTKWtZntNNG1L9gEBKsGfXWra2gnU4mUcAvddKQtcDv5TKfduBJbt1ohkE2yu9KMUdvL4DUVEC6xUmArJhTC?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[My Progress wih Local AI - Running LLMs on AMD Ryzen 7640hs]]></title><description><![CDATA[I've been learning about using AI locally for a few months now. First, I learned about Quantization, Llamacpp and the GGUF format. I managed to get some models run on my Steam Deck, though heavily quantized]]></description><link>https://ecency.com/@ahmadmanga/my-progress-wih-local-ai-running-llms-on-amd-ryzen-7640hs-vh</link><guid isPermaLink="true">https://ecency.com/@ahmadmanga/my-progress-wih-local-ai-running-llms-on-amd-ryzen-7640hs-vh</guid><category><![CDATA[hive-163521]]></category><dc:creator><![CDATA[ahmadmanga]]></dc:creator><pubDate>Wed, 31 Dec 2025 18:26:18 GMT</pubDate><enclosure url="https://i.ecency.com/p/k75bsZMwYNu41p2LdTsku8kMEBuA8p6Pcozae7abo5r7azrWYjkXKpgQShFjmS6YwyGAYgFv95MDqSf2Ucj2QFaXQvoA97aegyDnPfTKDBw1zkR9o6qXfb4h9yHZCbwX7B9Pibd7RDcAmnqNjomD1nVH6vF9bnjFk?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[Human]Building a Localized HyperSmart LLM System Using Two Models; Llama2 and Stable Diffusion]]></title><description><![CDATA[As many of you have seen the past few months my feed has been various interesting AI outputs. Why is this? I've been using Hive blockchain to train different AI systems in various points of competition.]]></description><link>https://ecency.com/@gray00/human-building-a-localized-hypersmart-llm-system-using-three-models</link><guid isPermaLink="true">https://ecency.com/@gray00/human-building-a-localized-hypersmart-llm-system-using-three-models</guid><category><![CDATA[llama2]]></category><dc:creator><![CDATA[gray00]]></dc:creator><pubDate>Tue, 26 Sep 2023 10:28:33 GMT</pubDate><enclosure url="https://i.ecency.com/p/PB8ro82ZpZP35bVGjGoE93K3E4U5KX8KtMBJ2rgQFvypeL1PVZhuB8fC5bt9LQ6e7E4DBF8FcTKe7cGZJJKmh2AH3HzDYRZShEqY9JxcHt4QsXZG?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>