Well… everything I have a keybind for in Qtile, and Qtile itself for that matter, has its own thread now.

Also, I am addicted to Rust now for the same reason.

I can almost guarantee you that my setup is way more responsive than anything you've ever seen on r/UnixPorn, and there's still absolutely no reason why I couldn't rice the hell out of it if I wanted to, I guess. I'm not going to, but I sure could, lol.

Seriously, though, this is why I use a tiling window manager: not because they look cool, but because they allow you to do weird things that save, by my estimate, objectively enough clock cycles that it actually feels faster subjectively. The things that fascinate me the most about Unix based operating systems is a mindset that is, for the most part, older than I am.

Or I would love to be wrong about that last part.

When you look at old-school Unix stuff like Grep, it was faster than it had any right to be, for the simple reason that it literally had to be. The hardware they were working with back then was capable of practically nothing by any standard that is even somewhat modern. I feel like no matter how good our hardware gets, the day that mentality becomes lost to history, is the day beyond which any hardware that could ever exist even in theory will never be enough.

1/6

Call for Nominations: Constraints Journal Awards 2025

Recognising Excellence in Constraint Programming Research

Nomination deadline: 31 May 2025, AoE.

More info in thread

#BestPaperAward
#ConstraintProgramming
#AI
#ACP
#ArtificialIntelligence
#AssociationForConstraintProgramming
#CallForNominations
#CP
#Optimization
#OutstandingPaperAward
#Awards
#springer
#SpringerPublishing
#AcademicMastodon
#AcademicExcellence
#AcademicChatter
#ComputerScience

I think #AI might be a boon for making #videogames in a way people might not be considering.

Imagine pointing an agent toward your render engine (or even a targeted subsection) and giving it the task of just optimizing it while still passing it's tests. #Optimization is a hard problem that studios don't seem too keen to spend their limited labor budget on. It's a perfect use-case for long acting #agents to tackle while game makers spend more time on the #design and #content of the #game.

Clever Engineering Leaves Appliance Useless - Around these parts, we generally celebrate clever hacks that let you do more with ... - https://hackaday.com/2025/04/10/clever-engineering-leaves-appliance-useless/ #multiplexing #optimization #shortcircuit #repairhacks #leddisplay

Many thanks to Springer's SharedIt program!

From now on, we will share new issues of the Constraints Journal on the Association for Constraint Programming website, along with bonus content (e.g., videos about the contents):

https://www.a4cp.org/cj2

#ConstraintProgramming #ArtificialIntelligence
#AssociationForConstraintProgramming
#ACP
#Springer
#SpringerPublishing
#Journal
#CP
#Optimisation #Optimization
#AI
#SharedIt
#OpenScience #OpenAccess #OpenAccessPublishing

I was reading an article in today's Washington Post about how analytics, and then optimization based on those analytics, has hurt the on-the-field/court product in MLB and the NBA, and holy crap, I felt like I was reading about D&D optimization!

https://www.washingtonpost.com/sports/2025/03/04/nba-mlb-analytics-rule-changes/

My colleagues at TU Delft are seeking to hire a postdoc to work on Applied Planning and Scheduling under Uncertainty, with applications in modelling supply chain scenarios for offshore wind farm installation: https://careers.tudelft.nl/job/Delft-Postdoc-in-Applied-Planning-and-Scheduling-under-Uncertainty-2628-CD/814890902/

Gave a talk at the EURO OSS Seminar Series on "Data-Driven Algorithm Design and Verification for Parametric Convex Optimization"!

Recording: https://euroorml.euro-online.org/

Big thanks to Dolores Romero Morales for the invitation! #MachineLearning #Optimization #ORMS

One thing that can escalate really quickly with #gamedev is #optimization:

I am debating whether or not I should make this railing an asset with dedicated baked textures or use multiple materials and tiling textures.

A big advantage of the separate materials is: Tiling Materials can be re-used and because they tile they need smaller textures for the same sharpness.

A baked texture would save on geometry (thanks to normal maps) and draw-calls, when everything has the same material.
#rendering

Machine learning and 3D printing yield steel-strong, foam-light materials

https://phys.org/news/2025-01-machine-3d-yield-steel-strong.html

Surely someone's looked into this: if I wanted to store millions or billions of files on a filesystem, I wouldn't store them in one single subdirectory / folder. I'd split them up into nested folders, so each folder held, say, 100 or 1000 or n files or folders. What's the optimum n for filesystems, for performance or space?
I've idly pondered how to experimentally gather some crude statistics, but it feels like I'm just forgetting to search some obvious keywords.
#BillionFileFS #linux #filesystems #optimization #benchmarking

Physics Rediscovered: My trebuchet is bigger than yours
https://michaeldominik.substack.com/p/physics-rediscovered-interlude-my
https://news.ycombinator.com/item?id=42912084

Posting more so b/c of this:

Supersonic Projectile Exceeds Engineers Dreams: Supersonic Trebuchet
https://hackaday.com/2021/12/01/supersonic-projectile-exceeds-engineers-dreams-the-supersonic-trebuchet/
https://news.ycombinator.com/item?id=29408127

In the YT video the young engineer optimizes the aim.
Modern neural networks are based on similar mathematical optimization principles (cost/loss functions)...

#engineering #optimization #trebuchet #NeuralNetworks #physics
https://en.wikipedia.org/wiki/Trebuchet

As someone who learned programming in the early 80s on very limited machines (RAM measured in kilobytes, 1 MHz CPU), I had to learn to be careful about wasting memory and CPU cycles. This has served me well over the years as I always kept a close eye on optimizations.

So I'm very pleased to see the DeepSeek folk are continuing this tradition.

Supercharge Your Python Code to 500% Speed!

Want to make your Python code faster and more efficient? This article breaks down powerful optimization techniques that can boost performance by up to 500%!

Read the full article here: https://medium.com/gitconnected/supercharge-python-code-to-500-speed-7f28fc881bc6

Excited to attend my first PhD defence at TU Delft: Daniël Vos will be defending his thesis "Decision Tree Learning: Algorithms for Robust Prediction and Policy Optimization", containing work he did under supervision of Prof. Dr. Ir. R.L. Lagendijk and Dr. Ir. Sicco Verwer.

Faster Integer Division with Floating Point - Multiplication on a common microcontroller is easy. But division is much more diff... - https://hackaday.com/2024/12/22/faster-integer-division-with-floating-point/ #softwaredevelopment #softwarehacks #optimization #assembly #avx-512 #x86_64 #simd #x86