<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>nyolfen</author><text>&amp;gt; I&amp;#x27;ve never understood why people don&amp;#x27;t get more excited about memristors.&lt;p&gt;personally, mostly because i&amp;#x27;ve been seeing articles about how they&amp;#x27;re &lt;i&gt;just about&lt;/i&gt; to totally upend computing for the last ten years</text><parent_chain><item><author>otakucode</author><text>This is the promise of memristors.  Despite innumerable articles being written about neuromorphic architectures like they&amp;#x27;ll be something miraculous, this ability to change from functioning as a bit of memory to being a bunch of functional logic on the fly at the speed of a memory read?  That&amp;#x27;s going to be crazy.  It will open up possibilities that we probably can&amp;#x27;t even imagine right now.&lt;p&gt;I&amp;#x27;ve never understood why people don&amp;#x27;t get more excited about memristors.  They could replace basically everything.  Assuming someone can master their manufacture, they should be more successful than transistors.  Of course, I&amp;#x27;m still waiting to be able to buy a 2000 ppi display like IBM&amp;#x27;s R&amp;amp;D announced creating back in the late 1990s or so... so I guess I&amp;#x27;d best not hold my breath.</text></item></parent_chain></comment><story><title>IBM scientists say radical new ‘in-memory’ architecture will speed up computers</title><url>http://www.kurzweilai.net/ibm-scientists-say-radical-new-in-memory-computing-architecture-will-speed-up-computers-by-200-times</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>tasty_freeze</author><text>Transistors provide something that resistors, capacitors, inductors and memristors don&amp;#x27;t, and thus they can&amp;#x27;t be replaced.  That thing is gain, ie, amplification (of either voltage or current).  All the others are lossy, so if you imagine some building block, then cascade N of them in a row, eventually the signal will become too weak (at some N) to be useful.</text><parent_chain><item><author>otakucode</author><text>This is the promise of memristors.  Despite innumerable articles being written about neuromorphic architectures like they&amp;#x27;ll be something miraculous, this ability to change from functioning as a bit of memory to being a bunch of functional logic on the fly at the speed of a memory read?  That&amp;#x27;s going to be crazy.  It will open up possibilities that we probably can&amp;#x27;t even imagine right now.&lt;p&gt;I&amp;#x27;ve never understood why people don&amp;#x27;t get more excited about memristors.  They could replace basically everything.  Assuming someone can master their manufacture, they should be more successful than transistors.  Of course, I&amp;#x27;m still waiting to be able to buy a 2000 ppi display like IBM&amp;#x27;s R&amp;amp;D announced creating back in the late 1990s or so... so I guess I&amp;#x27;d best not hold my breath.</text></item></parent_chain></comment><story><title>IBM scientists say radical new ‘in-memory’ architecture will speed up computers</title><url>http://www.kurzweilai.net/ibm-scientists-say-radical-new-in-memory-computing-architecture-will-speed-up-computers-by-200-times</url></story>