<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>andyljones</author><text>&amp;gt; are billion dollar industries&lt;p&gt;When speaking of billion dollar investments, a billion dollar industry is not substantial. Google and Facebook&amp;#x27;s industries are advertising, at $600bn&amp;#x2F;year. Amazon&amp;#x27;s industry is retail, at $25tn&amp;#x2F;year.&lt;p&gt;What&amp;#x27;s opened up by the GPT-3 and its prompt-programming abilities is &lt;i&gt;services&lt;/i&gt;, without qualification. That&amp;#x27;s $50tn&amp;#x2F;year, and capturing some tiny percentage of it is what&amp;#x27;s needed to make a billion-dollar investment worthwhile.&lt;p&gt;That said, I admit this isn&amp;#x27;t the mindset most people take when they read &amp;#x27;substantial&amp;#x27;.&lt;p&gt;e: I changed the wording from &amp;#x27;substantial&amp;#x27; to &amp;#x27;transformative&amp;#x27;, thanks!</text><parent_chain><item><author>gillesjacobs</author><text>I largely agree with the arguments made, but the following assertion is plain bogus&lt;p&gt;&amp;gt; GPT-3 is the first NLP system that has obvious, immediate, substantial economic value.&lt;p&gt;Text mining (relation extraction, named entity recognition, terminology mining) and sentiment analysis are billion dollar industries and are being directly applied right now in marketing, finance, law, search, automotive, basically every industry.
Machine translation is another huge industry of its own. Chat bots were all the hype a few years ago.
Let&amp;#x27;s not reduce the whole field of NLP to language generation.</text></item></parent_chain></comment><story><title>Are we in an AI Overhang?</title><url>https://www.lesswrong.com/posts/N6vZEnCn6A95Xn39p/are-we-in-an-ai-overhang</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>ben_w</author><text>Is sentiment analysis really that good already?&lt;p&gt;Every time I’ve looked at the start of the art in sentiment analysis, it seems to be suffering from the same issue that bag-of-words has with modifiers like “not”. Or is that more a theoretical problem than a practical one?&lt;p&gt;I appreciate this is a rapidly moving field, so my knowledge could easily be out of date.</text><parent_chain><item><author>gillesjacobs</author><text>I largely agree with the arguments made, but the following assertion is plain bogus&lt;p&gt;&amp;gt; GPT-3 is the first NLP system that has obvious, immediate, substantial economic value.&lt;p&gt;Text mining (relation extraction, named entity recognition, terminology mining) and sentiment analysis are billion dollar industries and are being directly applied right now in marketing, finance, law, search, automotive, basically every industry.
Machine translation is another huge industry of its own. Chat bots were all the hype a few years ago.
Let&amp;#x27;s not reduce the whole field of NLP to language generation.</text></item></parent_chain></comment><story><title>Are we in an AI Overhang?</title><url>https://www.lesswrong.com/posts/N6vZEnCn6A95Xn39p/are-we-in-an-ai-overhang</url></story>