An LLM safety monitor's evaluator can be tricked into clearing dangerous sessions when the attacker plants fake analysis text in the monitored conversation. Experimental results, defense limits, and structural separation points.
Rethinking the evolution of CLI, GUI, chat UI, and AI agents as interface design for the development workflow. Covers why CLI rather than CUI emerged as GUI's counterpart, and the context-window cost difference between MCP and CLI.
Records of rewriting captions for the 53 training images for the WAI-Anima character LoRA retrain after side ponytail direction control failed last time. Wrote position information into natural language so Qwen3 TE could pick it up, and dropped the IL-era strategy of absorbing the entire hairstyle into the single 'kanachan' trigger by promoting hairstyle to independent Danbooru tags. Includes notes on year tag necessity, the bikini/nude swapped-caption discovery, and blazer color recognition drift.
A look at WUPHF's LLM wiki that trended on Show HN. Using Markdown as the source of truth with Git history, SQLite, Bleve, and lint for shared agent memory is a different bet from RAG or managed memory.
Trained a WAI-Anima character LoRA on RunPod (AnimaLoraToolkit + sd-scripts) for $1.22, but at inference the side-ponytail direction won't shift with Danbooru tags or natural language — a directional bias from Anima base. Full verification record.
I dropped the nervous sample identified as the culprit last time, plus 5 others, and retrained the LoRA under otherwise identical conditions. The sweat drops on ep08 angry are gone, and as a bonus, ep06 produced the closed-mouth restrained anger that the previous training never managed to reproduce.
Using Veilora's VeilShift™ as a lens, this piece breaks down what DPI looks at, and what VLESS + XHTTP + REALITY, uTLS, and xPaddingBytes can and cannot hide.
OpenAI shipped GPT-5.5 and GPT-5.5 Pro on the API. A practical rundown of the 1M+ context, the new reasoning.effort default, image input behavior, prompt caching, and pricing.
Training an Illustrious-XL LoRA on RunPod for around $1 by doing env setup on a $0.08/hr CPU Pod and renting the 4090 only for actual training. Network Volumes attach to both pods at the same time, so there's no idle GPU billing. Four sd-scripts gotchas hit on the way included.
