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Doom crash after 2.5 years of real-world runtime confirmed on real hardware

Post by minki » 2025-09-16 IMG_20250916_224553.jpg (81.99 KiB) Viewed 26683 times Two and a half years ago, I started my now longest real-world software experiment. I had read an article about how DOOMs engine works and noticed how a variable for tracking the demo kept being incremented even after the next demo started. This variable was compared with a second one storing its previous value. The issue here being, each incrementation would cause the variable to slowly get closer to an overflow,

Analog optical computer for AI inference and combinatorial optimization

Experimental set-up The key components of our experimental set-up are shown in Fig. 1a and Extended Data Fig. 1. Optical subsystem The optical subsystem performs matrix–vector multiplication. The basic components are the optical sources (input vector), a system of fan-out optics to project the light onto the modulator matrix and a system of fan-in optics to project the light onto a photodetector array (output vector). The corresponding schematic is shown in Extended Data Fig. 2. The incohere

Everything is correlated (2014–23)

“Why summaries of research on psychological theories are often uninterpretable”, Meehl (also discussed in Cohen’s paper “The Earth is Round (p < 0.05)”): Problem 6. Crud factor: In the social sciences and arguably in the biological sciences, “everything correlates to some extent with everything else.” This truism, which I have found no competent psychologist disputes given 5 minutes reflection, does not apply to pure experimental studies in which attributes that the subjects bring with them are

Everything Is Correlated

“Why summaries of research on psychological theories are often uninterpretable”, Meehl (also discussed in Cohen’s paper “The Earth is Round (p < 0.05)”): Problem 6. Crud factor: In the social sciences and arguably in the biological sciences, “everything correlates to some extent with everything else.” This truism, which I have found no competent psychologist disputes given 5 minutes reflection, does not apply to pure experimental studies in which attributes that the subjects bring with them are

Sliding Window Technique Visualizer

A fixed-size sliding window maintains a constant size as it moves through the data structure. This is useful for problems like finding the maximum sum of a subarray of size k, or calculating moving averages. Variable Size Window A variable-size sliding window can expand or contract based on certain conditions. This technique is often used when you need to find the optimal subarray that satisfies specific criteria. Common Applications:

Multi-Stage Programming with Splice Variables

Multi-Stage Programming with Splice Variables This is an interactive demonstration of the ICFP 2025 paper Multi-Stage Programming with Splice Variables by Tsung-Ju Chiang and Ningning Xie. What is multi-stage programming? It's a technique where programs generate other programs. Instead of writing generic code that handles all cases at runtime, you generate specialized, optimized code tailored to specific situations. For example, instead of a power function that uses a loop, you could generate