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Dangling pointers/references, undefined behaviour, memory leaks, segmentation faults, bad access, SIGABRT, Release optimizations and other C/C++ BAUs
Welcome to the real world of C++ programming, my friend. Debugging is by far the one of the most advanced and undervalued skill in programming if it’s not the most. If you’re not familiar with all these terms in the title you’re innocent person and didn’t smell a cannon powder yet. Let me break it…
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I’ve applied Neural Style Transfer to Return To Castle Wolfstein
TLDR: It looks great but not playable. It’s aesthetically pleasing but screen is hard to read and you can miss some important details (e.g. bullet shoots or mission objectives) that hard to read due to the style is being applied. I’ve converted some torch models to the CoreML format and also trained mine own with…
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I’ve brought neural style transfer to the Q3A engine — and the results are wild.
Imagine Matisse, Picasso, and Van Gogh stepping into a 3D arena: the iconic shooter reborn as a surreal, living museum. Brushstrokes meet rocket jumps. Art meets chaos.
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New XCode 26 coding assistant review
I know it’s Beta and lots of bugs to be fixed but few words just for you to understand what you’re getting with a new update this fall (EOY, next year?). Agent mode by default It’s a default setting unless you start asking questions and stop giving commands. Not joking that’s how it works 😅…
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Testing different models for real-time style transfer
Testing a Ghibli style model The image below was used as style target for training the model. My own custom Liquid Glass design model My friend the Chicken is helping testing different models and frameworks
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Neural Style Transfer: Challenges with Apple’s AI Ecosystem
Diving into Apple’s NPU, it’s a mess! The ANE is underused and can’t handle workloads solo, so it’s always relying on CPU/GPU. OpenCL’s gone, and conversions between models are glitchy. For AI to flourish here, Apple needs to open up, support standards, and get ANE properly utilized. Good luck, Apple!
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Some thoughts about the current state on LLM’s assist coding…
It’s good for small projects to kickstart or use it as an intelligent autocomplete tool but doesn’t shine as much for complex projects with vague documentation where tribal knowledge is predominant and no straightforward solution. Because AI, even in an agentic mode, cannot ask your colleague why it’s implemented this way and not another. Some…