Tested 5 approaches including Qwen Image Edit, JS color reduction, and Illustrious i2i + LoRA. Illustrious i2i alone turned out to be the fastest and lightest solution for pixel art conversion.
Bryan Cantrill's 'The Peril of Laziness Lost' argues that LLMs have zero cost to write code and no motivation to abstract. Humans must serve as the 'deletion engine' or systems will bloat endlessly.
I tested local Vision LLMs (Gemma 3, Qwen2.5-VL, Llama 3.2 Vision, Gemma 4) to see if they could look at character illustrations and pixel art and generate RPG-style stats in JSON format.
A paper claims that a single binary operator eml(x, y) = exp(x) - ln(y) combined with the constant 1 can express all elementary functions — arithmetic, trig, logarithms, even pi. I read the paper and tested it in 5 languages.
Benchmarking NII's LLM-jp-4-32B-A3B-thinking on EVO-X2 (Ryzen AI Max+ 395) with ROCm. 62.9 t/s vs Qwen3.5-35B-A3B's 44.7 t/s. Covers thinking control issues, KV cache trade-offs, knowledge cutoff, Japanese quality comparisons, code generation tests, and training data composition.
Testing See-through for anime character PSD decomposition: 23 generated layers, front/back hair separation, hidden-area inpainting, and what LayerDiff + Marigold actually produced from a single illustration.
After updating to AMD Software 26.3.1 on a GMKtec EVO-X2 (Ryzen AI Max+ 395), Vulkan backend fails to allocate device memory properly and falls back to CPU. Investigation and workaround by changing BIOS VRAM allocation from 48GB/16GB to 32GB/32GB.
Diagnosed a 7x speed regression for Qwen Image Edit on M1 Max 64GB ComfyUI after an update. Root cause: MPS BF16 matmul runs ~2x slower than FP16, compounded by an FP16 attention bug. Benchmark numbers and the working fix.
Changes from v1 to v2 of Kana Chat, an AI agent built around official CLI wrappers. Covers dual-model router, Heartbeat memory, planner mode, image input, speech transcription, PWA push notifications, and the lessons learned from a month of daily use.
The three-stage pipeline of BERT perplexity scan → LLM judgment → escalation packaged as a cross-platform Python tool. The installer automatically downloads llama-server and GGUF models.
