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☮ ♥ ♬ 🧑‍💻“AI is cutting a swath across a number of <a href="https://ioc.exchange/tags/CreativeIndustries" class="mention hashtag" rel="tag">#CreativeIndustries</a> — with AI-generated <a href="https://ioc.exchange/tags/BookCovers" class="mention hashtag" rel="tag">#BookCovers</a>, the Chicago Sun-Times publishing an <a href="https://ioc.exchange/tags/AIGenerated" class="mention hashtag" rel="tag">#AIGenerated</a> list of <a href="https://ioc.exchange/tags/books" class="mention hashtag" rel="tag">#books</a> that *don’t exist*, and AI-generated stories at CNET under real authors’ bylines. The music industry is no exception. But while many of these fields are mired in questions about whether <a href="https://ioc.exchange/tags/AIModels" class="mention hashtag" rel="tag">#AIModels</a> are illegally <a href="https://ioc.exchange/tags/trained" class="mention hashtag" rel="tag">#trained</a> on pirated <a href="https://ioc.exchange/tags/data" class="mention hashtag" rel="tag">#data</a>, the <a href="https://ioc.exchange/tags/MusicIndustry" class="mention hashtag" rel="tag">#MusicIndustry</a> is coming at the issue from a position of unusual strength: the benefits of years of case law backing <a href="https://ioc.exchange/tags/copyright" class="mention hashtag" rel="tag">#copyright</a> protections, a regimented <a href="https://ioc.exchange/tags/licensing" class="mention hashtag" rel="tag">#licensing</a> system, and a handful of powerful companies that control the industry. <a href="https://ioc.exchange/tags/RecordLabels" class="mention hashtag" rel="tag">#RecordLabels</a> have chosen to fight several AI companies on copyright law, and they have a strong hand to play.”Note the use of the word DATA. Music isn’t data, it is if you are a <a href="https://ioc.exchange/tags/TechWeenie" class="mention hashtag" rel="tag">#TechWeenie</a> wanting to strip mine artistic music for profit.<a href="https://ioc.exchange/tags/ArtificialIntelligence" class="mention hashtag" rel="tag">#ArtificialIntelligence</a> / <a href="https://ioc.exchange/tags/arts" class="mention hashtag" rel="tag">#arts</a> / <a href="https://ioc.exchange/tags/music" class="mention hashtag" rel="tag">#music</a> / <a href="https://ioc.exchange/tags/musicians" class="mention hashtag" rel="tag">#musicians</a> / <a href="https://ioc.exchange/tags/artists" class="mention hashtag" rel="tag">#artists</a> / <a href="https://ioc.exchange/tags/mining" class="mention hashtag" rel="tag">#mining</a> / <a href="https://ioc.exchange/tags/StripMining" class="mention hashtag" rel="tag">#StripMining</a> / <a href="https://ioc.exchange/tags/technology" class="mention hashtag" rel="tag">#technology</a> / <a href="https://ioc.exchange/tags/tech" class="mention hashtag" rel="tag">#tech</a> <<a href="https://www.theverge.com/ai-artificial-intelligence/695290/suno-udio-ai-music-legal-copyright-riaa" target="_blank" rel="nofollow noopener noreferrer" translate="no">https://www.theverge.com/ai-artificial-intelligence/695290/suno-udio-ai-music-legal-copyright-riaa</a>>

☮ ♥ ♬ 🧑‍💻“Breakthroughs in large language models (<a href="https://ioc.exchange/tags/LLMs" class="mention hashtag" rel="tag">#LLMs</a>) have made conversations with <a href="https://ioc.exchange/tags/chatbots" class="mention hashtag" rel="tag">#chatbots</a> feel more natural and human-like. Applications such as Replika and Character.ai, which allow users to chat with artificial intelligence (#<a href="https://ioc.exchange/tags/AI" class="mention hashtag" rel="tag">#AI</a>) versions of famous actors and science-fiction characters, are becoming popular, especially among young <a href="https://ioc.exchange/tags/users" class="mention hashtag" rel="tag">#users</a>. As a <a href="https://ioc.exchange/tags/neuroscientist" class="mention hashtag" rel="tag">#neuroscientist</a> studying <a href="https://ioc.exchange/tags/stress" class="mention hashtag" rel="tag">#stress</a>, <a href="https://ioc.exchange/tags/vulnerability" class="mention hashtag" rel="tag">#vulnerability</a> and <a href="https://ioc.exchange/tags/resilience" class="mention hashtag" rel="tag">#resilience</a>, I’ve seen how easily people react to even the smallest emotional cues — even when they know that those cues are artificial. For example, study participants exhibit measurable physiological responses when shown videos of computer-generated avatars expressing sadness or fear.”…“Because these AI systems are <a href="https://ioc.exchange/tags/trained" class="mention hashtag" rel="tag">#trained</a> on vast amounts of emotionally expressive human language, their outputs can come across as surprisingly natural. *LLMs often mirror human emotional patterns, not because they understand emotions, but because their responses resemble how people talk.*”…“Now is the time to establish mandatory <a href="https://ioc.exchange/tags/safeguards" class="mention hashtag" rel="tag">#safeguards</a> for all emotionally responsive AI.”“Emotional influence isn’t a glitch. It’s a core feature of LLMs. If we celebrate their ability to comfort or advise, we must also confront their capacity to mislead or manipulate. We’ve built machines that sound like they care. Now, we must ensure that they don’t hurt the very people who turn to them for support. That means giving emotionally responsive AI not just more capabilities, but clearer boundaries.”<a href="https://ioc.exchange/tags/ZivBenZion" class="mention hashtag" rel="tag">#ZivBenZion</a> / <a href="https://ioc.exchange/tags/neurosciene" class="mention hashtag" rel="tag">#neurosciene</a> / <a href="https://ioc.exchange/tags/AI" class="mention hashtag" rel="tag">#AI</a> / <a href="https://ioc.exchange/tags/GuardRails" class="mention hashtag" rel="tag">#GuardRails</a> / <a href="https://ioc.exchange/tags/control" class="mention hashtag" rel="tag">#control</a> / <a href="https://ioc.exchange/tags/WhiteCollar" class="mention hashtag" rel="tag">#WhiteCollar</a> <<a href="https://www.nature.com/articles/d41586-025-02031-w" target="_blank" rel="nofollow noopener noreferrer" translate="no">https://www.nature.com/articles/d41586-025-02031-w</a>> (paywall) / <<a href="https://archive.md/IyddU" target="_blank" rel="nofollow noopener noreferrer" translate="no">https://archive.md/IyddU</a>>

eicker.news ᳇ tech newsA <a href="https://eicker.news/tags/federaljudge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#federaljudge</a> ruled in favour of <a href="https://eicker.news/tags/Meta" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Meta</a> in a lawsuit brought by 13 <a href="https://eicker.news/tags/bookauthors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#bookauthors</a> alleging the company illegally <a href="https://eicker.news/tags/trained" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#trained</a> its <a href="https://eicker.news/tags/AImodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AImodels</a> on their copyrighted works: The judge found Meta’s training fell under <a href="https://eicker.news/tags/fairuse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#fairuse</a>, but emphasised the decision was limited in scope and did not apply universally. <a href="https://techcrunch.com/2025/06/25/federal-judge-sides-with-meta-in-lawsuit-over-training-ai-models-on-copyrighted-books/?eicker.news" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://techcrunch.com/2025/06/25/federal-judge-sides-with-meta-in-lawsuit-over-training-ai-models-on-copyrighted-books/?eicker.news</a> <a href="https://eicker.news/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tech</a> <a href="https://eicker.news/tags/media" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#media</a> <a href="https://eicker.news/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#news</a>

WINGS_radio$50 AI Model Challenges OpenAI’s o1 and Industry Economics (excerpted from Shelly Palmer email)<a href="https://mastodon.social/tags/Researchers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Researchers</a> from Stanford and the University of Washington have <a href="https://mastodon.social/tags/trained" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#trained</a> an <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> “reasoning” <a href="https://mastodon.social/tags/model" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#model</a> for less than $50 in cloud compute credits. Their model, s1, rivals OpenAI’s o1 and DeepSeek’s R1 in math and coding benchmarks, raising serious questions about AI commoditization. <a href="https://mastodon.social/tags/OpenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenAI</a> <a href="https://mastodon.social/tags/Deepseek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Deepseek</a> <a href="https://mastodon.social/tags/rival" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rival</a> <a href="https://mastodon.social/tags/cheap" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#cheap</a><a href="https://shellypalmer.com/blog/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://shellypalmer.com/blog/</a>

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