<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>ben_w</author><text>&amp;gt; What&amp;#x27;s a large language model doing when it&amp;#x27;s not being queried?&lt;p&gt;Nothing.&lt;p&gt;&amp;gt; Am I correct that they only compute information when dealing with a prompt?&lt;p&gt;Yes.&lt;p&gt;&amp;gt; If so, that seems like a fundamental flaw.&lt;p&gt;Flawed in what way? It clearly doesn&amp;#x27;t need to be like us to be useful, because it&amp;#x27;s useful and definitely not like us.&lt;p&gt;&amp;gt; An actual &amp;quot;thinking machine&amp;quot; would be constantly running computations on its accumulated experience in order to improve its future output.&lt;p&gt;This might be good, but it&amp;#x27;s not clear if, or to what extent, we really do that ourselves — the differences between working&amp;#x2F;short&amp;#x2F;long term memories, between episodic and skill, even linguistically between knowledge of phonemes, words, grammar, and the connection between those and the things they represent all being impaired independently of each other by localised brain damage[0].&lt;p&gt;Then there&amp;#x27;s how much this changes with some stages of sleep, and meditation to clear your mind.&lt;p&gt;Given the number of users (what is it, 100 million?), having it always on, continuously integrating, would still be inhuman even if the architecture was a perfect mirror of the human brain.&lt;p&gt;Also, if the AI is structured to be a &amp;quot;thinking machine&amp;quot;, does that make it murder to switch it off?&lt;p&gt;[0] &lt;i&gt;Cognitive Psychology for Dummies&lt;/i&gt;, currently listening to it as an audiobook.</text><parent_chain><item><author>optimalsolver</author><text>What&amp;#x27;s a large language model doing when it&amp;#x27;s not being queried?&lt;p&gt;Am I correct that they only compute information when dealing with a prompt? If so, that seems like a fundamental flaw. An actual &amp;quot;thinking machine&amp;quot; would be constantly running computations on its accumulated experience in order to improve its future output.</text></item></parent_chain></comment><story><title>Why This AI Moment May Be the Real Deal</title><url>https://www.thenewatlantis.com/publications/why-this-ai-moment-may-be-the-real-deal</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>gmerc</author><text>Our brain is made of interconnected systems but somehow expect LLM architecture to encompass the whole spectrum.&lt;p&gt;Nothing stops you from running a loop that involves other systems such as long term memory (vector &amp;#x2F;dev storage), visual pre-processor (CNN), auto lora,  and more.&lt;p&gt;That’s the fundamental flaw with most of the criticism - the tech is out only a few short months in the hands of everyone. The disruption will come from plugging it into feedback systems.</text><parent_chain><item><author>optimalsolver</author><text>What&amp;#x27;s a large language model doing when it&amp;#x27;s not being queried?&lt;p&gt;Am I correct that they only compute information when dealing with a prompt? If so, that seems like a fundamental flaw. An actual &amp;quot;thinking machine&amp;quot; would be constantly running computations on its accumulated experience in order to improve its future output.</text></item></parent_chain></comment><story><title>Why This AI Moment May Be the Real Deal</title><url>https://www.thenewatlantis.com/publications/why-this-ai-moment-may-be-the-real-deal</url></story>