<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" 
xmlns:content="http://purl.org/rss/1.0/modules/content/"
xmlns:wfw="http://wellformedweb.org/CommentAPI/"
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:atom="http://www.w3.org/2005/Atom"
>
<channel>
<title>budbl | Published News | Tech</title>
<link>https://budbl.com</link>
<description>Discover and vote on the best stories</description>
<pubDate>Sun, 15 Nov 2026 00:55:19 UTC</pubDate>
<language>en</language>
<item>
	<title><![CDATA[llama.cpp v1.0.0 : A stronger foundation for the local AI ecosystem]]></title>
	<link>https://budbl.com/Tech/llama-cpp-v1-0-0-a-stronger-foundation-for-the-local-ai-ecosystem/</link>
  <source url="https%3A%2F%2Fhuggingface.co%2Fblog%2Fggml-org%2Fllama-cpp-v1"><![CDATA[llama.cpp v1.0.0 : A stronger foundation for the local AI ecosystem]]></source>
	<description><![CDATA[The llama.cpp project has released version 1.0.0, its first stable major version, along with ggml v1.0.0. In a Hugging Face blog post dated November 13, 2026, the maintainers say both libraries will now use major-version bumps for public C API and ABI breaks, after 3.5 years of growth and wider use in downstream apps. The release is meant to give developers a more stable interface for running language models locally across a wide range of hardware. ]]></description>
	<pubDate>Sun, 15 Nov 2026 00:55:19 UTC</pubDate>
	<author>luk</author>
	<category>Tech</category>
	<votes>1</votes>
	<guid>https://budbl.com/Tech/llama-cpp-v1-0-0-a-stronger-foundation-for-the-local-ai-ecosystem/</guid>
</item>

<item>
	<title><![CDATA[NOAA weather modeling hits key milestone with Rapid Refresh Forecast System debut]]></title>
	<link>https://budbl.com/Tech/noaa-weather-modeling-hits-key-milestone-with-rapid-refresh-forecast-system-debut/</link>
  <source url="https%3A%2F%2Fwww.noaa.gov%2Fnews-release%2Fnoaa-weather-modeling-hits-key-milestone-with-rapid-refresh-forecast-system-debut"><![CDATA[NOAA weather modeling hits key milestone with Rapid Refresh Forecast System debut]]></source>
	<description><![CDATA[NOAA says its National Weather Service has started running the Rapid Refresh Forecast System, a next-generation model that provides detailed, hourly-updating short-term forecasts over North America. The new system is intended to replace a patchwork of older regional models and offer longer forecast lead times than those earlier tools. ]]></description>
	<pubDate>Sat, 14 Nov 2026 02:49:09 UTC</pubDate>
	<author>luk</author>
	<category>Tech</category>
	<votes>1</votes>
	<guid>https://budbl.com/Tech/noaa-weather-modeling-hits-key-milestone-with-rapid-refresh-forecast-system-debut/</guid>
</item>

<item>
	<title><![CDATA[New research could lead to faster, trustworthy AI models for climate prediction]]></title>
	<link>https://budbl.com/Tech/new-research-could-lead-to-faster-trustworthy-ai-models-for-climate-prediction/</link>
  <source url="https%3A%2F%2Fnews.mit.edu%2F2026%2Fnew-research-could-lead-faster-trustworthy-ai-models-climate-prediction-1112"><![CDATA[New research could lead to faster, trustworthy AI models for climate prediction]]></source>
	<description><![CDATA[MIT scientists have developed a training method meant to make climate emulators — AI models that quickly simulate how human activity can affect the future climate — faster to build and more adaptable. The team reports that an emulator trained on a smaller, carefully chosen set of synthetic data could still predict outcomes of scenarios it had not seen during training. ]]></description>
	<pubDate>Sat, 14 Nov 2026 02:49:09 UTC</pubDate>
	<author>luk</author>
	<category>Tech</category>
	<votes>1</votes>
	<guid>https://budbl.com/Tech/new-research-could-lead-to-faster-trustworthy-ai-models-for-climate-prediction/</guid>
</item>

<item>
	<title><![CDATA[New AI "copilot" helps engineers design better structures]]></title>
	<link>https://budbl.com/Tech/new-ai-copilot-helps-engineers-design-better-structures/</link>
  <source url="https%3A%2F%2Fnews.mit.edu%2F2026%2Fnew-ai-copilot-helps-engineers-design-better-structures-1113"><![CDATA[New AI "copilot" helps engineers design better structures]]></source>
	<description><![CDATA[MIT researchers built an AI copilot that asks engineers for feedback while it is generating designs for structures such as buildings and bridges. In tests described in Communications Engineering, the human-in-the-loop approach produced designs that were easier to manufacture and better at resisting buckling, while adding only about 15 seconds compared with a fully automatic method. ]]></description>
	<pubDate>Sat, 14 Nov 2026 02:49:08 UTC</pubDate>
	<author>luk</author>
	<category>Tech</category>
	<votes>1</votes>
	<guid>https://budbl.com/Tech/new-ai-copilot-helps-engineers-design-better-structures/</guid>
</item>

<atom:link href="https://budbl.com" rel="self" type="application/rss+xml" />
</channel>
</rss>
