<?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[Large language models aren’t inherently unethical.]]></title><description><![CDATA[<p>Large language models aren’t inherently unethical. THESE LLMs are unethical. You could ethically construct and train an LLM; the reason you don’t hear about anyone doing this is because the result would be more expensive, less capable, or both (and the existing problematic LLMs are already both too expensive and have serious issues with their capabilities).</p>]]></description><link>https://board.circlewithadot.net/topic/0a4efe53-ef3c-4530-bbb2-01f1129cfc44/large-language-models-aren-t-inherently-unethical.</link><generator>RSS for Node</generator><lastBuildDate>Mon, 25 May 2026 20:43:57 GMT</lastBuildDate><atom:link href="https://board.circlewithadot.net/topic/0a4efe53-ef3c-4530-bbb2-01f1129cfc44.rss" rel="self" type="application/rss+xml"/><pubDate>Sat, 16 May 2026 13:46:37 GMT</pubDate><ttl>60</ttl><item><title><![CDATA[Reply to Large language models aren’t inherently unethical. on Sat, 16 May 2026 18:40:18 GMT]]></title><description><![CDATA[<p><span><a href="/user/maxleibman%40beige.party" rel="nofollow noopener">@<span>maxleibman</span></a></span> </p><p>I don't want to contradict your point but think positive example are important</p><p>For language the is an example how AI training (I'm not completely sure if it is an LLM) can be done differently and ethically <a href="https://papareo.io/whakapapa" rel="nofollow noopener"><span>https://</span><span>papareo.io/whakapapa</span><span></span></a> or <a href="https://ethicalspace.pubpub.org/pub/g3f4k33k/release/4" rel="nofollow noopener"><span>https://</span><span>ethicalspace.pubpub.org/pub/g3</span><span>f4k33k/release/4</span></a></p><p>Papa Reo Maori researchers developed speech recognition and natural language processing capabilities for Indigenous language communities, ensuring that the sovereignty of the data remains with them and the benefits derived from these technologies goes directly to their communities.</p>]]></description><link>https://board.circlewithadot.net/post/https://infosec.exchange/users/realn2s/statuses/116585714057534985</link><guid isPermaLink="true">https://board.circlewithadot.net/post/https://infosec.exchange/users/realn2s/statuses/116585714057534985</guid><dc:creator><![CDATA[realn2s@infosec.exchange]]></dc:creator><pubDate>Sat, 16 May 2026 18:40:18 GMT</pubDate></item></channel></rss>