An interview with Goodfire researcher Nick Cammarata, whose viral blog post claimed LLMs are easier to understand than thought, as other researchers push back (Will Douglas Heaven/MIT Technology Review)

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<a href="https://www.technologyreview.com/2026/10/19/1147149/we-were-looking-at-it-wrong-the-explosive-claim-thats-upended-the-ai-world/"><img align="RIGHT" border="0" hspace="4" src="http://www.techmeme.com/261020/i58.jpg" vspace="4" /></a>
<p><a href="https://www.techmeme.com/261020/p58#a261020p58" title="Techmeme permalink"><img height="12" src="http://www.techmeme.com/img/pml.png" style="border: none; padding: 0; margin: 0;" width="11" /></a> Will Douglas Heaven / <a href="http://www.technologyreview.com/">MIT Technology Review</a>:<br />
<span style="font-size: 1.3em;"><b><a href="https://www.technologyreview.com/2026/10/19/1147149/we-were-looking-at-it-wrong-the-explosive-claim-thats-upended-the-ai-world/">An interview with Goodfire researcher Nick Cammarata, whose viral blog post claimed LLMs are easier to understand than thought, as other researchers push back</a></b></span>&nbsp; &mdash;&nbsp; &ldquo;I think I have good news about the nature of neural networks.&rdquo;&nbsp; With those simple words of optimism, Nick Cammarata &hellip; </p>

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