<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>coldtea</author><text>&amp;gt;&lt;i&gt;If only, intel has been abusing their market position and pushing out &amp;quot;upgrades&amp;quot; that barely have a performance improvement over the previous generation.&lt;/i&gt;&lt;p&gt;And why is that because of &amp;quot;abusing their market position&amp;quot;, as opposed to plainly and clearly being more difficult to get faster processors at 14 nm and lower resolutions (and with the low power requirements of today)?&lt;p&gt;Besides, the trend the article points to is a BS fad as I see it (and I&amp;#x27;ve seen 5-6 of those play out in the last 30 years). ASICS and FPGAs wont even come close to bringing in as much cash as general purpose CPUs do for Intel.</text><parent_chain><item><author>friedman23</author><text>&amp;gt; Instead of making ASICS or FPGAs, Intel focused in recent years on making its CPU processors ever more powerful&lt;p&gt;If only, intel has been abusing their market position and pushing out &amp;quot;upgrades&amp;quot; that barely have a performance improvement over the previous generation.&lt;p&gt;AI is not going to eat intel&amp;#x27;s lunch, all those computers still require cpus. AMD on the other hand may eat intel&amp;#x27;s lunch by releasing powerful multicore processors for half the price all because they don&amp;#x27;t waste space on the die for things like integrated graphics.</text></item></parent_chain></comment><story><title>The rise of AI is creating new variety in the chip market, and trouble for Intel</title><url>http://www.economist.com/news/business/21717430-success-nvidia-and-its-new-computing-chip-signals-rapid-change-it-architecture</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>petra</author><text>ASIC&amp;#x2F;FPGA or even GPU&amp;#x27;s aren&amp;#x27;t the future of neural computing. The future is analog(orders of magnitude perf&amp;#x2F;watt and perf&amp;#x2F;$). That require older fabs, optimized for analog, and having  good embedded flash, which TSMC has and Intel mostly  hasn&amp;#x27;t  got.&lt;p&gt;And that same future applies not only for neural computing, but for a field called approximate-computing, i.e. computing where results aren&amp;#x27;t accurate.Some&amp;#x2F;many signal and image processing work well with that. I&amp;#x27;ve also seen some research about doing scientific computing on approximate hardware and correcting errors.</text><parent_chain><item><author>friedman23</author><text>&amp;gt; Instead of making ASICS or FPGAs, Intel focused in recent years on making its CPU processors ever more powerful&lt;p&gt;If only, intel has been abusing their market position and pushing out &amp;quot;upgrades&amp;quot; that barely have a performance improvement over the previous generation.&lt;p&gt;AI is not going to eat intel&amp;#x27;s lunch, all those computers still require cpus. AMD on the other hand may eat intel&amp;#x27;s lunch by releasing powerful multicore processors for half the price all because they don&amp;#x27;t waste space on the die for things like integrated graphics.</text></item></parent_chain></comment><story><title>The rise of AI is creating new variety in the chip market, and trouble for Intel</title><url>http://www.economist.com/news/business/21717430-success-nvidia-and-its-new-computing-chip-signals-rapid-change-it-architecture</url></story>