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#modelexplainability

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Coach Pāṇini ®<p><a href="https://mastodon.world/tags/ModelExplainability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ModelExplainability</span></a>, <a href="https://mastodon.world/tags/DataLineage" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataLineage</span></a>, and editing the <a href="https://mastodon.world/tags/TrainingData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TrainingData</span></a> set are topics that will be in the news next year…assuming we make it.<br><a href="https://social.lol/@rom/112543674749743641" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">social.lol/@rom/11254367474974</span><span class="invisible">3641</span></a></p>
Coach Pāṇini ®<p>The reason the billionaires, governments, and corporations are trying to make Generative “<a href="https://mastodon.world/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a>” fetch happen is because <a href="https://mastodon.world/tags/ModelExplainability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ModelExplainability</span></a> doesn’t exist.</p><p>They don’t want to foment transparency, accountability, or individual agency.</p><p>They want the opposite.</p><p>That is why <a href="https://mastodon.world/tags/SparkleSickness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SparkleSickness</span></a> ✨is everywhere.</p>
Coach Pāṇini ®<p>We’re still decades away from <a href="https://mastodon.world/tags/ModelExplainability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ModelExplainability</span></a>:</p><p><a href="https://builtin.com/articles/black-box-ai" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">builtin.com/articles/black-box</span><span class="invisible">-ai</span></a></p>
Coach Pāṇini ®<p><span class="h-card" translate="no"><a href="https://techhub.social/@hosford42" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>hosford42</span></a></span> <span class="h-card" translate="no"><a href="https://social.linux.pizza/@marjolica" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>marjolica</span></a></span> <span class="h-card" translate="no"><a href="https://techhub.social/@SmallOther" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>SmallOther</span></a></span> <span class="h-card" translate="no"><a href="https://spore.social/@russellmcormond" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>russellmcormond</span></a></span> <span class="h-card" translate="no"><a href="https://mstdn.party/@argv_minus_one" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>argv_minus_one</span></a></span> <span class="h-card" translate="no"><a href="https://autistics.life/@Uair" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>Uair</span></a></span> <br>From what I gather, <a href="https://mastodon.world/tags/ModelExplainability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ModelExplainability</span></a> is both extremely valuable and also not close.</p>
Coach Pāṇini ®<p><span class="h-card" translate="no"><a href="https://mastodon.design/@mjausson" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>mjausson</span></a></span> <span class="h-card" translate="no"><a href="https://m.ai6yr.org/@ai6yr" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>ai6yr</span></a></span> <span class="h-card" translate="no"><a href="https://octodon.social/@alienghic" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>alienghic</span></a></span> </p><p>The PhDs in machine learning are still decades away from <a href="https://mastodon.world/tags/ModelExplainability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ModelExplainability</span></a> when it comes to GenAI.</p><p>You’d think a lack of provenance for decision-making in regulated ecosystems would be a disincentive, but, no, they will FAFO, and FAFO hard.</p>
Coach Pāṇini ®<p><span class="h-card" translate="no"><a href="https://appdot.net/@jgordon" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>jgordon</span></a></span> </p><p>“we still don’t understand why deep learning works, in any way that would let us predict which capabilities will emerge at which scale”</p><p>This part about the lack of <a href="https://mastodon.world/tags/ModelExplainability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ModelExplainability</span></a> gets glossed over on the <a href="https://mastodon.world/tags/AIhype" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIhype</span></a> train.</p>
Coach Pāṇini ®<p><span class="h-card" translate="no"><a href="https://mastodon.social/@neurobashing" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>neurobashing</span></a></span> <span class="h-card" translate="no"><a href="https://toot.site/@tsturm" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>tsturm</span></a></span> <br>Is the math well understood, though?</p><p>From what I understood the researchers are not completely 100% certain how they work or why they work the way they do.</p><p>We’re not necessarily within spitting distance of <a href="https://mastodon.world/tags/ModelExplainability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ModelExplainability</span></a>, are we?</p><p>I could be wrong? 🤷🏻‍♂️</p>