<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>2024/12 on Brian P. Hogan</title><link>https://bphogan.com/2024/12/</link><description>Recent content in 2024/12 on Brian P. Hogan</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://bphogan.com/2024/12/index.xml" rel="self" type="application/rss+xml"/><item><title>Moving on From Temporal</title><link>https://bphogan.com/2024/12/31/2024-12-31-moving-on-from-temporal/</link><pubDate>Wed, 18 Dec 2024 12:03:45 -0600</pubDate><guid>https://bphogan.com/2024/12/31/2024-12-31-moving-on-from-temporal/</guid><description>December 18th, 2024 was my last day at Temporal Technologies.</description></item><item><title>You Own It</title><link>https://bphogan.com/2024/12/09/2024-12-09-you-own-it/</link><pubDate>Mon, 09 Dec 2024 15:07:56 -0600</pubDate><guid>https://bphogan.com/2024/12/09/2024-12-09-you-own-it/</guid><description>I keep seeing how “LLMs are great teaching tools! I asked it to explain X to me and it did!”
Don&amp;rsquo;t be fooled!
Ask it to explain a technical topic you deeply understand and you’ll start to see where it makes things up.
It is a predictive text engine. Sure, you can do all sorts of prompt hacking to get better results. But at the end of the day, if you don’t know the topic really well you will never know if it made up the facts it gave you.</description></item></channel></rss>