Dovydas Joksas

Writing

2026

  1. Agent in Your Filesystem. No Installation Needed?
  2. Review: The Typographic Medium

2025

  1. Review: Everything and More
  2. Let’s Make Video Podcasting Open

2024

  1. p-values

2023

  1. Podcasting 2.0
  2. Machine Learning With Analog Computers
  3. Vietnam
  4. Rename Von Neumann Architecture?
  5. It Doesn’t Matter Which Text Editor You Use
  6. Interview for Podnews Weekly Review
  7. MathML
  8. Less Cynicism

2022

  1. RIP, Angelo Badalamenti
  2. Replicator Dynamics
  3. Time Series Data and Causality
  4. Adversarial Attacks on Linear Models
  5. Trip to Peak District
  6. PhD Thesis
  7. Bulgakov & Lynch
  8. Is China Doxxing People Using Targeted Advertising?
  9. Abstractions in JAX
  10. Updated Blog Structure—Again!
  11. Future Computing Systems
  12. Viva
  13. Loading Remote Bibliography with Biber
  14. Smarter Training of Memristive Neural Networks
  15. Telegram is Not “Encrypted”
  16. Who’s Watching You?

2021

  1. Open Source: Trust and Money
  2. Genetic Privacy
  3. Amazon Alternative for Books
  4. RSS Screwup
  5. Your Medical Data
  6. Why Doesn’t Google Maps Use Its Own Subdomain?
  7. Don’t Teach Statistics in High School
  8. Undoing Robert Maxwell
  9. Spotify Thinks I Like German Music
  10. The Strangest Thing About the Bitcoin White Paper
  11. Updated Website
  12. Variances in Memristors: Mitigation and Exploitation (Seminar)
  13. Great Scott, They Predicted… the ’80s!
  14. Contact Tracing
  15. Zuccing Reimagined
  16. Happy New Year!

2020

  1. Restoration
  2. The Sopranos ∩ The Godfather ≠ ∅
  3. GitHub Surprise
  4. Personal Library: How?!
  5. Why Censuses Should Be (Slightly) Inaccurate
  6. Updated Blog Structure
  7. Let’s Save the Internet. With RSS.
  8. Memristive neural networks perform better when they work in teams
  9. “Dude, Machine Learning is Just Glorified Curve Fitting”
  10. The Destroyer of Worlds
  11. Colorblind-Friendly Diagrams
  12. Do Not Trust WhatsApp
  13. Analogue Solution to the Power-Hungry Field of Machine Learning

2019

  1. The Power Crisis of Modern Computing