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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Chatbots put to the test in math and logic problems: A preliminary comparison and assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2305.18618/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2305.18618/feed.xml" rel="self" type="application/rss+xml" /><item><title>Chatbots put to the test in math and logic problems: A preliminary comparison and assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard — mentioned by PaulHoule</title><link>https://news.ycombinator.com/item?id=36143741</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.18618:36143741</guid><pubDate>Wed, 31 May 2023 20:20:26 GMT</pubDate><description>&lt;p&gt;No, it is an active research area to discover what they can do. A typical paper is something like this https://arxiv.org/abs/2305.18618 My opinion is as follows: Frankly the thing they are best at is bullshitting and some people are particularly good at falling for it, many of those people think they are talented &amp;quot;prompt engineers&amp;quot;. I think there is something about picking the &amp;quot;most likely&amp;quot; next word that stops people from perceiving incongruities, which gives chatbots a hypnotic power. There are certain kinds of problems chatbots seem to do well on but usually research shows they struggle to…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.18618/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
