Making generated images dependable enough to shoot with.
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Updated
Sep 9, 2026 - Python
Making generated images dependable enough to shoot with.
智能体工程与 AI for Materials 的一手实践经验:隐性知识显性化,记录每个技术决策背后的取舍。/ Field notes on agent engineering & AI for materials science.
Run all of Wikipedia offline next to a local LLM — sovereign, private, low-carbon, verifiable. Kiwix + Ollama + RAG.
Field notes from running LLMs on AMD Radeon AI PRO R9700 (RDNA4): engines, backends, multi-GPU, speculative decoding, power, model qualification, and every mistake along the way.
Reusable methods for building AI agent systems: GEO/AEO audits, agentic reporting, and multi-agent QC verification
Verified field notes from your hike — open-source AI + cryptographic sealing (Hacktoberfest 2026)
Field notes and a restart guard for vLLM serving on NVIDIA DGX Spark (GB10).
Steganography research for post-deepfake documentary cinema: hiding and detecting information in images and text, for media provenance
Field notes on running a generative film production, script to delivery, through a Claude Code CLI cockpit under a hard deadline.
A versioned public research layer for ecological intentionality, phenomenology, field practice, and creaturely relation by Sam Harrelson
中文音频转文字的实战笔记与工具链:ASR 引擎选型实测(whisper / Fun-ASR-Nano / Qwen3-ASR)、已用真实数据否决的自动化纠错路线、校对方法论,含 4 个零第三方依赖的校验脚本。适用于播客、会议录音、课程、访谈等任意中文音频。
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