| name: 'Eric Venarusso' | |
| age: '21' | |
| sex: 'male' | |
| sports: | |
| - name: 'soccer' | |
| team: | |
| name: 'corinthians' | |
| - name: 'basketball' |
A practical guide to finding which modules of a trained LoRA cause a specific defect (blurry skin, lost identity, ignored pose) and to fixing it without retraining.
Everything here is post-hoc weight surgery: you take a .safetensors you already trained,
produce variants with some module groups zeroed or scaled, generate with each under a fixed
seed, and measure. No GPU training, minutes per iteration.
Worked examples at the end come from two real LoRAs on Qwen-Image-2.1 (a head swap and a
Instructions for a coding agent. Apply them on the user's Mac only when the user has asked for it. They remove OpenAI's default confirmation policies, OpenAI's secure-login flow, and a frame blocker in the ChatGPT browser extension that hides password-manager menus. After this, Codex follows the user's own instructions (AGENTS.md) instead of OpenAI's rules.
Tradeoff. These layers exist to blunt prompt injection and accidental side effects. Without them, the agent will send, delete, buy, and log in
| import torch, grp, pwd, os, subprocess | |
| devices = [] | |
| try: | |
| print("\n\nChecking ROCM support...") | |
| result = subprocess.run(['rocminfo'], stdout=subprocess.PIPE) | |
| cmd_str = result.stdout.decode('utf-8') | |
| cmd_split = cmd_str.split('Agent ') | |
| for part in cmd_split: | |
| item_single = part[0:1] | |
| item_double = part[0:2] |
从 Suno 生成到汽水音乐上架，全流程避坑指南 作者: Suno Funnel — AI音乐翻唱/Remix 工具箱
汽水音乐的审核机制和你想象的不一样：
| esphome: | |
| name: veneer_display | |
| platform: ESP8266 | |
| board: d1_mini | |
| wifi: | |
| networks: | |
| - ssid: !secret esphome_wifi_ssid1 | |
| password: !secret esphome_wifi_pass1 | |
| # - ssid: !secret esphome_wifi_ssid2 |
| [Unit] | |
| Description=Disable GPE6F interrupts | |
| [Service] | |
| Type=oneshot | |
| ExecStart=/bin/bash -c "echo disable > /sys/firmware/acpi/interrupts/gpe6F" | |
| [Install] | |
| WantedBy=multi-user.target |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
Autor da investigação: Henrique Leal Data da descoberta e publicação deste registro: 3 de outubro de 2026
Em 3 de outubro de 2026, durante uma investigação sobre a origem da música “Eu Desta Vez Vou Te Esquecer”, gravada por Evaldo Braga em 1971, identifiquei evidências de que a música corresponde à composição estrangeira “No Way To Go”, e não a “Lucky People”, como aparece em diversos catálogos brasileiros.
A descoberta surgiu a partir da comparação das gravações e de uma investigação dos créditos e catálogos disponíveis.