<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>TDJ28</title><link>https://www.tdj28.org/</link><description>Recent content on TDJ28</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>© 2026 TJ</copyright><lastBuildDate>Mon, 27 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.tdj28.org/index.xml" rel="self" type="application/rss+xml"/><item><title>What's Your P(Chihuahua)?</title><link>https://www.tdj28.org/en/blog/post/tech/ml/whats-your-p-chihuahua/</link><pubDate>Mon, 27 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.tdj28.org/en/blog/post/tech/ml/whats-your-p-chihuahua/</guid><description>Why the artificial superintelligence alignment problem may be a domestication problem: not whether ASI hates us, but whether it can make us smaller, safer, and easier to keep.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://www.tdj28.org/en/blog/post/tech/ml/whats-your-p-chihuahua/feature.jpg"/></item><item><title>Searching Without Being Searched: The Architecture of Oblivious Prefix Trees</title><link>https://www.tdj28.org/en/blog/post/computer_science/algorithms/prefix-trees/</link><pubDate>Sat, 21 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.tdj28.org/en/blog/post/computer_science/algorithms/prefix-trees/</guid><description>A rigorous analysis of Prefix Trees (Tries) and Radix Trees, evolving from memory hierarchy constraints to cryptographically secure Data-Oblivious architectures.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://www.tdj28.org/en/blog/post/computer_science/algorithms/prefix-trees/featured.png"/></item><item><title>The Mathematics of Dense Vector Search</title><link>https://www.tdj28.org/en/blog/post/math_science/datasci/vector-search-math/</link><pubDate>Tue, 17 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.tdj28.org/en/blog/post/math_science/datasci/vector-search-math/</guid><description>A comprehensive deep dive into the mathematical foundations and algorithms of modern vector search, including HNSW, DiskANN, Quantization, and the Curse of Dimensionality.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://www.tdj28.org/en/blog/post/math_science/datasci/vector-search-math/featured_image.png"/></item><item><title>Wiggle while you work: using jittering to augment object tracking in low fps videos</title><link>https://www.tdj28.org/en/blog/post/tech/ml/wiggle_while_you_work/</link><pubDate>Sun, 18 Aug 2024 00:00:00 +0000</pubDate><guid>https://www.tdj28.org/en/blog/post/tech/ml/wiggle_while_you_work/</guid><description>Dealing with low fps video can make re-identification of individuals between frames more difficult as the potential targets tend to &amp;ldquo;jump&amp;rdquo; between frames in a way that throws off trackers. Here, I show how applying a Gaussian jitter or wiggle to artificially increase the fps of the video can improve tracking.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://www.tdj28.org/en/blog/post/tech/ml/wiggle_while_you_work/featured_image.png"/></item><item><title>Quantum Computers: Mathieu's Equations and the Quadrupole Ion Traps</title><link>https://www.tdj28.org/en/blog/post/math_science/phys_math/mathieu_equation/</link><pubDate>Sat, 17 Aug 2024 00:00:00 +0000</pubDate><guid>https://www.tdj28.org/en/blog/post/math_science/phys_math/mathieu_equation/</guid><description>Of great use to physics, including one of the promising paths towards quantum computers, is the ion trap. Though there are various models in use, we focus here on Paul-style models. To do so, we need to understand Mathieu&amp;rsquo;s equations and their corresponding solutions in enough detail to grasp the function of the Paul ion trap. In this report, we explore the behavior of Mathieu&amp;rsquo;s equation and its solutions for the Paul ion trap.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://www.tdj28.org/en/blog/post/math_science/phys_math/mathieu_equation/featured_image.png"/></item><item><title>Lil' LLM: Part 1</title><link>https://www.tdj28.org/en/blog/post/tech/ml/lil_llm_01/</link><pubDate>Sun, 04 Aug 2024 15:21:05 -0700</pubDate><guid>https://www.tdj28.org/en/blog/post/tech/ml/lil_llm_01/</guid><description>In this first part in a multipart series, we build a little model LLM that can construct basic phrases and display the effects of temperature. This first version doesn&amp;rsquo;t use neural networks but does demonstrate some fundamentals of LLM terminology.</description></item><item><title>Bayesian look at rapid tests</title><link>https://www.tdj28.org/en/blog/post/math_science/datasci/bayesian-look-rapid-tests/</link><pubDate>Fri, 02 Aug 2024 15:21:05 -0700</pubDate><guid>https://www.tdj28.org/en/blog/post/math_science/datasci/bayesian-look-rapid-tests/</guid><description>A look at how Bayesian statistics can help us understand ways to make decisions (in the context of COVID-19 rapid test accuracy). This post will introduce concepts related to Bayesian statistics, but may still be interesting to individuals already familiar with the topic.</description></item><item><title>Using YOLO people detection with Segment Anything 2 from META</title><link>https://www.tdj28.org/en/blog/post/tech/ml/sam2_with_yolo/</link><pubDate>Thu, 01 Aug 2024 19:21:05 -0700</pubDate><guid>https://www.tdj28.org/en/blog/post/tech/ml/sam2_with_yolo/</guid><description>A quick and dirty example of creating a chef cookbook with rspec tests.</description></item><item><title>Automating the circularization of Apollo in Kerbal with python, KRPC, and Physics</title><link>https://www.tdj28.org/en/blog/post/math_science/kerbal/apollo-into-orbit/</link><pubDate>Sat, 23 Jul 2022 15:21:05 -0700</pubDate><guid>https://www.tdj28.org/en/blog/post/math_science/kerbal/apollo-into-orbit/</guid><description>Using the krpc library, we can automate a rocket simulator, turnking Kerbal space program into a more powerful educational tool. In this post, we automate the launching and circularization of the Kerbal equivalent of the Apollo rocket.</description></item><item><title>Rössler Strange Attractor with Python: Part 1</title><link>https://www.tdj28.org/en/blog/post/math_science/chaos/rossler_strange_attractor_with_python_series/rossler_strange_attractor_with_python_part1/</link><pubDate>Sun, 03 Jul 2022 19:21:05 -0700</pubDate><guid>https://www.tdj28.org/en/blog/post/math_science/chaos/rossler_strange_attractor_with_python_series/rossler_strange_attractor_with_python_part1/</guid><description>Simple Integration using Euler&amp;rsquo;s method</description></item><item><title>Headless Python Selenium With Behave</title><link>https://www.tdj28.org/en/blog/post/tech/comp_sci/headless-python-selenium-with-behave/</link><pubDate>Sun, 26 Aug 2018 19:21:05 -0700</pubDate><guid>https://www.tdj28.org/en/blog/post/tech/comp_sci/headless-python-selenium-with-behave/</guid><description>Selenium Testing a Web App can be a quick and productive win.</description></item><item><title>Using PNNL's new Cividis colormap in data science to make accessible heat maps</title><link>https://www.tdj28.org/en/blog/post/math_science/datasci/cividis-accessible-colormap-in-datascience/</link><pubDate>Sun, 19 Aug 2018 19:21:05 -0700</pubDate><guid>https://www.tdj28.org/en/blog/post/math_science/datasci/cividis-accessible-colormap-in-datascience/</guid><description>Recent work at PNNL has introduced a mathematically optimized colormap called Cividis that optimizes viewing of heatmaps and other plots for both those with and without full color vision</description></item><item><title>Exploring Wikipedia Page Count Trends</title><link>https://www.tdj28.org/en/blog/post/math_science/datasci/exploring-wikipedia-page-counts-trends/</link><pubDate>Sun, 05 Aug 2018 19:21:05 -0700</pubDate><guid>https://www.tdj28.org/en/blog/post/math_science/datasci/exploring-wikipedia-page-counts-trends/</guid><description>There are some readily available tools in python for doing time series analysis, and these tools can be used to study Wikipedia page count stats.</description></item><item><title>A Risk Analysis Bowtie Diagram in Latex</title><link>https://www.tdj28.org/en/blog/post/tech/devops/risk-analysis-bowtie-diagram-latex/</link><pubDate>Sun, 24 Jun 2018 19:21:05 -0700</pubDate><guid>https://www.tdj28.org/en/blog/post/tech/devops/risk-analysis-bowtie-diagram-latex/</guid><description>Couldn&amp;rsquo;t find a good example on the web, wrote one instead.</description></item><item><title>TRAPPIST-1 is probably not alive</title><link>https://www.tdj28.org/en/blog/post/math_science/astro/trappist1-is-probably-not-alive/</link><pubDate>Fri, 24 Feb 2017 19:21:05 -0700</pubDate><guid>https://www.tdj28.org/en/blog/post/math_science/astro/trappist1-is-probably-not-alive/</guid><description>While the findings of additional potentially habitable planets around TRAPPIST-1 is exciting, it also isn&amp;rsquo;t overly promising.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://www.tdj28.org/en/blog/post/math_science/astro/trappist1-is-probably-not-alive/featured.png"/></item><item><title>Putting a Space Station Over Philly With Final Cut Pro</title><link>https://www.tdj28.org/en/blog/post/other/putting-a-space-station-over-philly/</link><pubDate>Mon, 20 Feb 2017 19:21:05 -0700</pubDate><guid>https://www.tdj28.org/en/blog/post/other/putting-a-space-station-over-philly/</guid><description>A quick and easy (though not free) way to put a imaginary space station over Philadelphia.</description></item><item><title>DevOps 101: Chef Cookbook with Testing</title><link>https://www.tdj28.org/en/blog/post/tech/devops/chef-cookbook-example/</link><pubDate>Sat, 28 Jan 2017 19:21:05 -0700</pubDate><guid>https://www.tdj28.org/en/blog/post/tech/devops/chef-cookbook-example/</guid><description>A quick and dirty example of creating a chef cookbook with rspec tests.</description></item><item><title>Python Uses Operational Chaining for Boolean Comparisons</title><link>https://www.tdj28.org/en/blog/post/tech/comp_sci/python-operational-chaining/</link><pubDate>Fri, 20 Jan 2017 19:21:05 -0700</pubDate><guid>https://www.tdj28.org/en/blog/post/tech/comp_sci/python-operational-chaining/</guid><description>It is important to understand Python&amp;rsquo;s use of operational chaining to avoid programming errors.</description></item><item><title>Abstracting Networking with Docker Containers</title><link>https://www.tdj28.org/en/blog/post/tech/devops/abstracting-networking-with-docker-containers/</link><pubDate>Thu, 03 Mar 2016 19:21:05 -0700</pubDate><guid>https://www.tdj28.org/en/blog/post/tech/devops/abstracting-networking-with-docker-containers/</guid><description>Docker comes with a default network, but you can make your own network of unlimited complexity.</description></item><item><title>Search Results</title><link>https://www.tdj28.org/en/search/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.tdj28.org/en/search/</guid><description/></item></channel></rss>