Wired M5Stack's CO2L Unit (SCD41) to a CoreS3 over Grove and put CO2/temp/humidity on screen. The factory-fresh sensor read +30% high against a SwitchBot NDIR meter, so I ran FRC over a serial command to pull it in line.
A brand-new CoreS3 failed with 'SD Card initialization failed!' on the stock firmware. Tested two LAZOS cards: the 16GB never mounts at any SPI clock, the 32GB mounts but only writes at 10MHz, and a soft reset wedges the card until power-off.
Tested on an M1 Max, NumPy only: Qwen maps a prompt to a JSON of knobs, and a 2D Kuramoto oscillator field renders it. No objects, but composition, color, and motion change with the prompt.
Tested Astro 6→7 on a 1,558-post blog: keeping remark/rehype past Sätteri with @astrojs/markdown-remark, the @astrojs/vercel v11 bump, and a middleware TS1543/esbuild import-attribute trap.
Merged kei, kana, and koharu into a single Anima (Qwen-DiT) LoRA and ran my first training on Blackwell (RTX 5090, sm_120). Hands-on log: the cu128 / torch2.8 / SDPA stack swap from the 4090, why the weakest character gets absorbed (caption asymmetry, not rank), and how trigger-only prompts separate three close-packed characters at ep143 without ControlNet.
Tested local Wan video gen on a Radeon 8060S (Strix Halo, 48GB UMA, Windows). ZLUDA can't run stock PyTorch; AMD's TheRock gfx1151 wheel gives native ROCm. FastWan 1.3B in 4min, Wan 14B I2V in 13.6min — VAE decode and 16GB-RAM Segfaults are the real limits.
Tested FramePack F1 on an RTX 4060 Laptop (8GB VRAM, 32GB RAM): VRAM peaked at 5.75GB, but the 26GB model overflowed RAM into the pagefile and a 5s clip took 56 min. The real bottleneck for local video gen on a laptop is RAM, not VRAM.
Krea 2 Turbo bf16 renders in ~3.5 min on a Mac (M1 Max 64GB, ComfyUI). fp8 is rejected on MPS, Raw NaNs to black at 47 min, and NSFW behavior gets tested. Working settings and VRAM notes for Apple Silicon.
Dug a 2001 Aquaplus P/ECE out of a closet and got my own C game running on it: WinUSB/Zadig for the dead driver, a from-source S1C33 LLVM toolchain, and a 15GB-RAM OOM.
Tested Qwen3.7 Plus on ModelScope: native function calling and parallel tool calls work. I built a tool loop, skills, and error recovery with just the openai SDK, then had it ship a working Flask BBS.
Tested Boogu-Image-0.1 on an M1 Max 64GB ComfyUI: the fp8 build is rejected by MPS, so bf16 is mandatory, and Turbo runs ~70s per 1024px image. Notes on photoreal vs anime, bilingual text, and where NSFW stops.
