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.
Three LLMs converted the same 10 Japanese scene briefs into Anima (Qwen-DiT) prompts, generated as 60 fixed-seed images on an M1 Max with a merged 3-character LoRA. The Qwen-to-Qwen affinity hypothesis did not survive; a strict formatter brief with character-count locks is what actually moved the results, and two failure modes survive any prompt.
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.
Un-0 swaps neural-net weighted sums for Kuramoto coupled-oscillator physics, hitting FID 6.74 on ImageNet-64. Still GPU-simulated, and the 1000x energy claim is unproven — no chip yet.
Fujitsu's PHOTON claims up to 475x over Transformers, but that's tokens/s/GiB (multi-query memory throughput), not faster single responses. What the 1.2B paper tables, the quality drop, and 9-query integration really show.
DeepSeek-V4-Pro-DSpark isn't a new base model. It's the same 1.6T V4-Pro checkpoint plus a DSpark speculative-decoding head (~893GB). What config.json and the DeepSpec repo reveal, and why there's no speed benchmark yet.
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.
npm CLI 11.15.0 stages a tarball for maintainer 2FA approval before it hits the registry. Plus --allow-* install controls and how they differ from release-age gates and allowScripts.
