<story><title>Machine Assisted Proof [video]</title><url>https://www.youtube.com/watch?v=AayZuuDDKP0</url></story><parent_chain><item><author>jumploops</author><text>It&amp;#x27;s refreshing to see someone like Terence Tao embrace GPT-4 as an assistant.&lt;p&gt;A few friends of mine (who are ML practitioners!) still don&amp;#x27;t trust LLMs or find them useful in their day-to-day work.&lt;p&gt;I&amp;#x27;ve noticed a similar trend among folks who work on compilers, preferring to &amp;quot;stay in their lane&amp;quot; instead of embracing GPT-4. The opposite appears true among those who work on user-facing applications, adoption of LLMs is much higher in their day-to-day.</text></item></parent_chain><comment><author>jiggawatts</author><text>An observation I&amp;#x27;ve made is that people that were early adopters and effective users of web search such as AltaVista or these days Google are also good at using LLMs.&lt;p&gt;Almost every criticism of generative chat AI that I&amp;#x27;ve seen in forums is someone holding it wrong, the direct equivalent of troubleshooting by searching for the term &amp;quot;my PC crashed&amp;quot; instead of a specific error code or whatever.&lt;p&gt;Similarly, the people complaining about ChatGPT not being very good don&amp;#x27;t realise they&amp;#x27;re using the free-tier v3.5 instead of the paid GPT4 that&amp;#x27;s much smarter. The equivalent is people who use the default browser (IE) and use the default search engine (Bing) and complain that &amp;quot;the Internet is not useful&amp;quot;.&lt;p&gt;Just recently I had to review a bunch of legacy C# code, and I&amp;#x27;ve found GPT4 to be enormously useful. It can find bugs and security issues in seconds, will suggest fixes to them, explain why they&amp;#x27;re bad, etc...&lt;p&gt;Note that I don&amp;#x27;t have to &lt;i&gt;trust it&lt;/i&gt; to write security-bug-free code! I&amp;#x27;m asking it to &lt;i&gt;find&lt;/i&gt; bugs that I will then fix myself.</text></comment>
<story><title>Machine Assisted Proof [video]</title><url>https://www.youtube.com/watch?v=AayZuuDDKP0</url></story><parent_chain><item><author>jumploops</author><text>It&amp;#x27;s refreshing to see someone like Terence Tao embrace GPT-4 as an assistant.&lt;p&gt;A few friends of mine (who are ML practitioners!) still don&amp;#x27;t trust LLMs or find them useful in their day-to-day work.&lt;p&gt;I&amp;#x27;ve noticed a similar trend among folks who work on compilers, preferring to &amp;quot;stay in their lane&amp;quot; instead of embracing GPT-4. The opposite appears true among those who work on user-facing applications, adoption of LLMs is much higher in their day-to-day.</text></item></parent_chain><comment><author>moonchild</author><text>&amp;gt; I&amp;#x27;ve noticed a similar trend among folks who work on compilers, preferring to &amp;quot;stay in their lane&amp;quot; instead of embracing GPT-4&lt;p&gt;Research into ML-guided optimisation predates chatjippity.</text></comment>