<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mit-License on Best of AI</title><link>https://bestofai.io/tags/mit-license/</link><description>Recent content in Mit-License on Best of AI</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Fri, 18 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://bestofai.io/tags/mit-license/index.xml" rel="self" type="application/rss+xml"/><item><title>Atria Dawn Preview</title><link>https://bestofai.io/models/atria-dawn-preview/</link><pubDate>Fri, 18 Sep 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/atria-dawn-preview/</guid><description>&lt;p&gt;Shanghai AI Laboratory released Atria Dawn Preview on September 11, 2026, an open-weight preview built on a 744-billion-parameter mixture-of-experts foundation and aimed squarely at agentic research and engineering work rather than chat. The design goal is a full loop (problem analysis, tool use, code implementation, running experiments, reading the results, and recovering from failures) rather than answering a question and stopping.&lt;/p&gt;
&lt;p&gt;The lab shipped it under an MIT license alongside a 143-author paper studying how the model performed during its own development: across 769 recorded tasks from 56 participants, roughly a third were rated by the humans involved as infeasible without AI assistance.&lt;/p&gt;</description></item><item><title>Ling-3.0-Flash-Fin</title><link>https://bestofai.io/models/ling-3-0-flash-fin/</link><pubDate>Fri, 18 Sep 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/ling-3-0-flash-fin/</guid><description>&lt;p&gt;Ant Group&amp;rsquo;s InclusionAI team released Ling-3.0-Flash-Fin on August 28, 2026, continuing the training of the base Ling-3.0-Flash model on financial data developed with CICC and other institutions. It keeps the same 124 billion parameter, 5.1 billion active mixture-of-experts design and 256K context window, but adds source-grounded financial search, multi-document reasoning across regulatory filings and earnings reports, and spreadsheet-native valuation work.&lt;/p&gt;
&lt;p&gt;Ant published BF16 weights on Hugging Face under an MIT license and opened a one-month free API trial, aiming the model at tasks like reading annual reports, building DCF models, and cross-referencing filings: the kind of grunt work that eats analyst hours at banks and research desks.&lt;/p&gt;</description></item></channel></rss>