NII/LLMC released CC Audio and Archive.org Audio Dataset. URL lists, metadata, and a downloader covering 48,000+ hours of Japanese audio. What it actually contains and how it fits into TTS, ASR, and audio model training.
Pruna AI's FP8 speedup needs compute capability 8.9, so Apple Silicon is out. Measured what M1 Max 64GB actually does with MLX-based mflux and antirez's iris.c: install traps, real generation times, and a wrapper kit to skip the setup.
Designing field-level confidence thresholds for human-in-the-loop document extraction, and the OCR and threshold walls hit when automating journal entries with freee MCP.
After Xiaomi MiMo-V2.5's weights went public, I checked whether it runs on Mac/ROCm or on cloud GPU (RunPod/GCE). It's still rough on local hardware, but RunPod's 4x H200 runs it for ~$14/hr and GCE Spot H100 brings it down to ~$1.6/hr.
A full fine-tune of Z-Image Base, not a LoRA merge. Working t2i and i2i settings for Base vs Distill on M1 Max 64GB, GGUF options, and what NSFW passes.
A verification log for converting color anime-style AI illustrations to manga-style monochrome. AI re-generation approaches lean to either color leakage or face drift, and pure deterministic local processing looks mechanical. Frames the next directions to try: putting a grayscale-only LoRA on Anima, and using See-through for part decomposition before mechanical composition.
SB Intuitions released sarashina2.2-tts, an LLM-based TTS model focused on Japanese. It clones speaker voice and style from short reference audio without fine-tuning, and handles Japanese-English code-switching.
A comparison of AI CMS features across Cosmic, Sanity, and Hygraph, examining agent execution, MCP connectivity, and editorial workflows. Hygraph's coverage in the original comparison article is corrected with official documentation.
With v3 captions kept as-is and only the training amount pushed up to Anima's official 12,000+ step recommendation, the direction hit rate went 100% at ep150-180, crashed to 0% at ep200, then partially recovered to 67% at ep227 — a non-monotonic curve. 600-720 exposures per training image is the sweet spot; over 800 triggers catastrophic forgetting. Learning rate 2e-5, ~11 hours / $10 of RunPod training plus a sweet-spot epoch scan.
A look at sachitrafa/YourMemory, a local MCP memory server combining Ebbinghaus forgetting curves, BM25, vector search, and graph expansion. LoCoMo-10 Recall@5 currently sits at 59%.
Inclusion AI released LLaDA2.0-Uni. A 16B MoE diffusion LLM that handles image understanding, 1024px image generation, image editing, and interleaved text-image generation in a single model.
fspecii/ace-step-ui wraps ACE-Step 1.5's Gradio API in a React/Express/SQLite app with a library, player, editing, and stem separation. On Mac, the MLX+MPS split brings memory and LoRA constraints.
