<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>devjab</author><text>GPT seems to get improvements of trap questions when they reach social popularity. Even the free version of ChatGPT now knows that a kilogram of feathers weighs the same as a kilogram of lead, and it didn’t always know that.&lt;p&gt;I’m not sure these types of prompt tricks are a good way of measuring logic unless Google is also implementing these directly into Bard when the hilarious outputs reach enough traction on social media.&lt;p&gt;I do wonder how OpenAI fix these logical blunders.&lt;p&gt;My biggest issue with both isn’t that they fall into these traps though. It’s that I can get them to tell me long stories about what happens in Horus Heresy books that never actually happened.  Whether the info comes from questionable sources or they are just making things up is sort of irrelevant to me, what “scares” me about those conversations is how true the answers sound, and if they are “lying” about the Horus Heresy then what else will they lie about? Don’t get me wrong, GPT now writes virtually all my JSDoc documentation and it continues to impress me when doing so, but I’m very reluctant to use it for actual information. Not only because of my time wasting conversations about the Horus Heresy but also because we’ve had it “invent” C# functions that had never existed in any version of .Net or C# when tasked to solve problems. I just mention the HH as an example because it’s fun to ask GPT why Magnus did nothing&amp;#x2F;everything wrong during meetings.</text><parent_chain><item><author>underyx</author><text>Trying my favorite LLM prompt to benchmark reasoning, as I mentioned in a thread four weeks ago[0].&lt;p&gt;&amp;gt; I&amp;#x27;m playing assetto corsa competizione, and I need you to tell me how many liters of fuel to take in a race. The qualifying time was 2:04.317, the race is 20 minutes long, and the car uses 2.73 liters per lap.&lt;p&gt;The correct answer is around 29, which GPT-4 has always known, but Bard just gave me 163.8, 21, and 24.82 as answers across three drafts.&lt;p&gt;What&amp;#x27;s even weirder is that Bard&amp;#x27;s first draft output ten lines of (wrong) Python code to calculate the result, even though my prompt mentioned nothing coding related. I wonder how non-technical users will react to this behavior. Another interesting thing is that the code follows Google&amp;#x27;s style guides.&lt;p&gt;[0]: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;news.ycombinator.com&amp;#x2F;item?id=35893130&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;news.ycombinator.com&amp;#x2F;item?id=35893130&lt;/a&gt;</text></item></parent_chain></comment><story><title>Bard is getting better at logic and reasoning</title><url>https://blog.google/technology/ai/bard-improved-reasoning-google-sheets-export/</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>nico</author><text>Would have been much more impressed if Google had released something like a super pro version of OpenChat (featured today on the front page of HN) with integration to their whole office suite for gathering&amp;#x2F;crawling&amp;#x2F;indexing information&lt;p&gt;Google keeps putting out press releases and announcements, without actually releasing anything truly useful or competitive with what it’s already out there&lt;p&gt;And not just worse than GPT4, but worse even than a lot of the open source LLMs&amp;#x2F;Chats that have come out in the last couple of months&amp;#x2F;weeks</text><parent_chain><item><author>underyx</author><text>Trying my favorite LLM prompt to benchmark reasoning, as I mentioned in a thread four weeks ago[0].&lt;p&gt;&amp;gt; I&amp;#x27;m playing assetto corsa competizione, and I need you to tell me how many liters of fuel to take in a race. The qualifying time was 2:04.317, the race is 20 minutes long, and the car uses 2.73 liters per lap.&lt;p&gt;The correct answer is around 29, which GPT-4 has always known, but Bard just gave me 163.8, 21, and 24.82 as answers across three drafts.&lt;p&gt;What&amp;#x27;s even weirder is that Bard&amp;#x27;s first draft output ten lines of (wrong) Python code to calculate the result, even though my prompt mentioned nothing coding related. I wonder how non-technical users will react to this behavior. Another interesting thing is that the code follows Google&amp;#x27;s style guides.&lt;p&gt;[0]: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;news.ycombinator.com&amp;#x2F;item?id=35893130&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;news.ycombinator.com&amp;#x2F;item?id=35893130&lt;/a&gt;</text></item></parent_chain></comment><story><title>Bard is getting better at logic and reasoning</title><url>https://blog.google/technology/ai/bard-improved-reasoning-google-sheets-export/</url></story>