Tested 11 character combos × 3 seeds on Anima-Base: trigger-only prompts passed 3/33, full prompts 8/11, and copying one training-caption phrase fixed the height gap.
Tested on M1 Max 64GB: hooked Qwen3.6-35B-A3B's MoE router in mlx-lm, pre-warmed the top-20 hot experts, still ~62 tok/s vs plain mmap cache. Plus the Metal OOM on Qwen3.5-122B.
Tested with source builds on an M4 Mac mini: 9.0 rejects self-signed HTTPS (certificate verify failed) where 8.1.2 connects silently; webp_anim decodes all 10 frames.
Claude Code's isolation: 'worktree' subagents were fixed for reaching into the parent checkout four times, across releases from 2.1.203 to 2.1.222, with the documented scope shifting each time. I lay out what git -C, GIT_DIR, and destructive git commands each broke, from the official release notes.
Tested Next.js 16.3, Astro 7 and Nuxt 4.5 on an M4 Mac mini with one identical blog. Pixel-identical output ships 172KB vs 21.5KB vs 0KB gzipped JS; build cache and dev-server memory measured too.
54 of 55 advisories from one GitHub account were fabricated, likely by AI. How six fake SQLite CVEs passed MITRE and NVD unchecked, and why scanner hits for them are false positives.
Unit 42's three Pass-ta-key attacks need malware already on Windows, no admin rights. The SDS master key sits in Chrome memory in plaintext, with no way to rotate it.
Aug 4, 2026: the keyv worm hit 12 unrelated orgs in 3h43m, and the poisoned builds carried valid GitHub Actions provenance. Why rotating credentials first is the thing that triggers the payload.
Tested on M1 Max 64GB: SeFi-Image turbo runs on MPS in bf16 at 13–47s/image; fake text and face artifacts only clear up on 5B RL at 50 steps, 18 min/image.
Measured on M1 Max 64GB: weight-only INT8 runs 41% slower than fp16, a hand-written Metal int8 GEMM 15.6x slower, MPSMatrix int8 3x, and MLX 8-bit 9% slower.
Tested on M1 Max 64GB ComfyUI: v0.24.1 fails to load int8_tensorwise, v0.30.1 hits the missing aten::_int_mm MPS kernel, and a dequantize patch runs slower than bf16.
Tested on M1 Max 64GB: AnimaLoraToolkit + Anima-Base crashes on torch 2.6.0 (MPS SDPA bug) but runs 300 steps clean on 2.7.1, at ~21 s/step, roughly 9x slower than an RTX 5090.
