<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Productivity on Sharpstone Blog</title><link>https://sharpstone.blog/tags/productivity/</link><description>Recent content in Productivity on Sharpstone Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 06 Apr 2025 21:42:30 -0500</lastBuildDate><atom:link href="https://sharpstone.blog/tags/productivity/index.xml" rel="self" type="application/rss+xml"/><item><title>April 2025 AI Models Update:Latest Developments and Trends</title><link>https://sharpstone.blog/ai/april-2025-ai-models-update/</link><pubDate>Sun, 06 Apr 2025 21:42:30 -0500</pubDate><guid>https://sharpstone.blog/ai/april-2025-ai-models-update/</guid><description>&lt;h2 id="introduction">Introduction&lt;/h2>
&lt;p>The AI landscape continues to evolve rapidly. Here&amp;rsquo;s your monthly update on what’s changed, what’s emerging, and how to make the most of the tools available. I did my original post at &lt;a href="https://sharpstone.blog/posts/ai-models-compared/">https://sharpstone.blog/posts/ai-models-compared/&lt;/a> around 30 days ago and there has been a whirlwind of change since then. I decided that I would leave that post up and offer a monthly summary of new things features, updates and models to watch. The original post has good background - these will just focus on what&amp;rsquo;s new each month. I may then do a deep dive into new features or particularly compelling information as an extra post.&lt;/p></description></item><item><title>Choosing the Right AI Model: A Practical Comparison</title><link>https://sharpstone.blog/posts/ai-models-compared/</link><pubDate>Mon, 03 Mar 2025 00:00:00 +0000</pubDate><guid>https://sharpstone.blog/posts/ai-models-compared/</guid><description>&lt;p>&lt;img src="https://sharpstone.blog/images/AI-Models.png" alt="AI Models image by ChatGPT" title="center">&lt;/p>
&lt;h2 id="introduction">Introduction&lt;/h2>
&lt;p>As Simon Sinek says &lt;strong>&amp;ldquo;Start with why&amp;rdquo;&lt;/strong>. When you know the why you are wanting to use the AI model the other questions and answers can follow relatively easy. Current AI as sophisticated as it may be - is still what is known as &amp;rsquo;narrow&amp;rsquo; this means they are built for specific tasks and contexts. These specific tasks and contexts may be expansive but the range of the expertise is relatively narrow. Due to the AI&amp;rsquo;s being narrow it&amp;rsquo;s necessary to be literate in the many models that are available and what they excel at vs what they are just ok at vs what they cannot do at all.&lt;/p></description></item><item><title>Is it thinking? Artificial Intelligence: A Guide for Thinking Humans</title><link>https://sharpstone.blog/posts/is-it-thinking/</link><pubDate>Thu, 21 Nov 2024 09:00:00 -0500</pubDate><guid>https://sharpstone.blog/posts/is-it-thinking/</guid><description>&lt;p>&lt;img src="https://sharpstone.blog/images/is-it-thinking.png" alt="Is it thinking" title="center">&lt;/p>
&lt;p>&lt;strong>I recommend reading &amp;quot;Artificial Intelligence: A Guide for Thinking
Humans&amp;quot;&lt;/strong>&lt;/p>
&lt;p>I just finished up &amp;quot;Artificial Intelligence: A Guide for Thinking
Humans&amp;quot; by Melanie Mitchell. It was a great, quick read. I recommend it
to anyone that wants a great primer on AI with or without a background
in tech. Mitchell does an excellent job making complex topics
approachable and sharing metaphors and examples that make AI's nuances
understandable for non-specialists. Dr. Mitchell manages to explore the
topics to a certain depth without drowning you in tech speak.&lt;/p></description></item></channel></rss>