<story><title>Google Illuminate: Books and papers turned into audio</title><url>https://illuminate.google.com/home</url></story><parent_chain><item><author>dlisboa</author><text>One problem I see with this is legitimizing LLM-extracted content as canon. The realistic human speech masks the fact that the LLM might be hallucinating or highlighting the wrong parts of a book&amp;#x2F;paper as important.</text></item></parent_chain><comment><author>vanishingbee</author><text>Happens in the very first example:&lt;p&gt;[Attention is All You Need - 1:07]&lt;p&gt;&amp;gt; Voice A: How did the &amp;quot;Attention is All You Need&amp;quot; paper address this sequential processing bottleneck of RNNs?&lt;p&gt;&amp;gt; Voice B: So, instead of going step-by-step like RNNs, they introduced a model called the Transformer - hence the title.&lt;p&gt;What title? The paper is entitled &amp;quot;Attention is All You Need&amp;quot;.&lt;p&gt;People are fooling themselves. These are stochastic parrots cosplaying as academics.</text></comment>
<story><title>Google Illuminate: Books and papers turned into audio</title><url>https://illuminate.google.com/home</url></story><parent_chain><item><author>dlisboa</author><text>One problem I see with this is legitimizing LLM-extracted content as canon. The realistic human speech masks the fact that the LLM might be hallucinating or highlighting the wrong parts of a book&amp;#x2F;paper as important.</text></item></parent_chain><comment><author>gs17</author><text>We&amp;#x27;ll have to see how it holds up for general books. The books they highlighted are all very old and very famous, so the training set of whatever LLM they use definitely has a huge amount of human-written content about them, and the papers are all relatively short.</text></comment>