rank128 + 20 two-character images killed the v1 ahoge bleed and body fusion on this Anima dual-character LoRA. Lap-sit stays a Qwen3 text-encoder limit; sweet spot is ep140.
Claude Code sometimes emits a stray court token and raw <invoke> as plain text instead of running Read/Edit/Bash — a malformed tool call that never executes. How to tell it from a hung shell or a 'could not be parsed' error, on long Opus 4.8 sessions.
One Anima (Qwen-Image DiT) LoRA, two characters, trained on RunPod: can they touch? Hugs and piggyback hold, lap-sit fuses; stacked limbs survive, interleaved break. Best at ep100, Turbo.
Vitest's UI/api WebSocket skips Origin checks (CSWSH), so a malicious page can call saveTestFile and rerun to run code on your dev machine. Fixed in 1.6.1 / 2.1.9 / 3.0.5.
At Itaú, a staff engineer delivered a 4-person, 18-week project in 9 weeks with 4 AI agents — but it worked only because they knew the codebase deeply. What the case study really says about AI and team size.
Sakai Lab fMRI study (N=25, U-Tokyo): reading a story's first half on a tablet stretched response time on integration questions and skipped the language-area savings paper produced. Full stats (F/p/q/r), plus the MangaFlow manga-generation AI as the drawing-side counterpart.
Android 14–16/16-qpr2 patch CVE-2025-48595, a Framework integer-overflow EoP Google flags as under limited, targeted exploitation. In CISA KEV with a 2026-06-05 deadline. Includes the 06-01 vs 06-05 patch-level split.
Two CRLF-adjacent bugs, two different checks. Smuggling is a proxy↔Tomcat HTTP/1.1 framing mismatch (tomcat-embed-core version, CVE-2026-24880); splitting is CRLF in sendRedirect/setHeader/RestTemplate. With a grep checklist.
Hexer Minimal Toon's new Anima V1 is a DiT checkpoint, not an SDXL one: 4.1GB bf16, separate VAE/text-encoder ComfyUI folders, Anima-only LoRA, and a non-commercial license the Civitai page doesn't show. What changes vs Illustrious v3.1 before you load it.
On Anima-Base, my character LoRA bent its legs even on standing. Adding upright references didn't fix it; cutting 36 posed full-body images did. Subtract, don't add.
35M linear projection replaces E4B's 150M 16-layer Vision Encoder. Bidirectional attention in the 48-layer LLM absorbs patch features. Comparison with Fuyu, EVE, EVEv2, and Mono-InternVL.
