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#synthetictext

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Debby<p>Just came across this insightful article on watermarking for large language models! 📝 It explores how watermarking can help distinguish between human and AI-generated text, ensuring responsible usage. A great read for anyone interested in the responsible use of AI technology!<a href="https://go.nature.com/3Abhjt1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">go.nature.com/3Abhjt1</span><span class="invisible"></span></a> <br><a href="https://esperanto.masto.host/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://esperanto.masto.host/tags/technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>technology</span></a> <a href="https://esperanto.masto.host/tags/technews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>technews</span></a> <a href="https://esperanto.masto.host/tags/TextGeneration" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TextGeneration</span></a> <a href="https://esperanto.masto.host/tags/Watermarking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Watermarking</span></a> <a href="https://esperanto.masto.host/tags/EthicsInAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EthicsInAI</span></a> <a href="https://esperanto.masto.host/tags/ResponsibleAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ResponsibleAI</span></a> <a href="https://esperanto.masto.host/tags/TechForGood" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechForGood</span></a> <a href="https://esperanto.masto.host/tags/Innovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Innovation</span></a> <a href="https://esperanto.masto.host/tags/NaturalLanguageProcessing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NaturalLanguageProcessing</span></a> <a href="https://esperanto.masto.host/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://esperanto.masto.host/tags/SyntheticText" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SyntheticText</span></a></p>
DAIR Institute<p>Mystery AI Hype Theater 3000, Episode 32 - A Flood of AI Hell</p><p><a href="https://peertube.dair-institute.org/videos/watch/9e2844a1-5ebb-4067-8213-edd0c2a013f1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">peertube.dair-institute.org/vi</span><span class="invisible">deos/watch/9e2844a1-5ebb-4067-8213-edd0c2a013f1</span></a></p>
MrCopilot<p><span class="h-card" translate="no"><a href="https://mastodon.xyz/@nextcloud" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>nextcloud</span></a></span> When we see some, I think we should get excited.</p><p>These impressive mislabeled products and toys are neither artificial nor intelligent. </p><p>Their output is almost universally improperly labeled as content, history, fact, art, news, assistant, acceptable code and useful search results without proper human verification.</p><p> <a href="https://mstdn.social/tags/SyntheticText" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SyntheticText</span></a> <a href="https://mstdn.social/tags/SyntheticImage" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SyntheticImage</span></a> <a href="https://mstdn.social/tags/SyntheticVoice" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SyntheticVoice</span></a> mandatory labels would be exciting news this year.</p>
beSpacific<p>Artificial Artificial <a href="https://newsie.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a>: Crowd Workers Widely Use Large Language Models for Text Production Tasks <a href="https://newsie.social/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://newsie.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> are remarkable data annotators. ...We reran an abstract summarization task from the literature on <a href="https://newsie.social/tags/Amazon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Amazon</span></a> <a href="https://newsie.social/tags/MechanicalTurk" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MechanicalTurk</span></a> and, through a combination of keystroke detection and <a href="https://newsie.social/tags/SyntheticText" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SyntheticText</span></a> <a href="https://newsie.social/tags/classification" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>classification</span></a>, estimate that 33-46% of <a href="https://newsie.social/tags/CrowdWorkers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CrowdWorkers</span></a> used LLMs when completing the task. <a href="https://arxiv.org/pdf/2306.07899.pdf" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/pdf/2306.07899.pdf</span><span class="invisible"></span></a></p>
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