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| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
| import requests | |
| class HoverException(Exception): | |
| pass | |
| class HoverAPI(object): | |
| def __init__(self, username, password): | |
| params = {"username": username, "password": password} | |
| r = requests.post("https://www.hover.com/api/login", params=params) |
| package main | |
| import ( | |
| "crypto/tls" | |
| "crypto/x509" | |
| "flag" | |
| "io" | |
| "io/ioutil" | |
| "log" | |
| "os" |
Fork do script original com traduções, melhorias visuais e uma função para parar a execução de forma segura.
Note
Este script não funciona no navegador para missões que exigem que você jogue um game! Use o aplicativo para desktop para completar essas missões.
使用JAV金鸡儿奖官网附带的工具JAV SQL 查询器，可查询各种类别的JavDB TOP250影片：
及分年数据（存在部分重复影片，原始数据的问题）：
This is an OPML version of the HN Popularity Contest results for 2025, for importing into RSS feed readers.
Plug: if you want to find content related to your interests from thousands of obscure blogs and noisy sources like HN Newest, check out Scour. It's a free, personalized content feed I work on where you define your interests in your own words and it ranks content based on how closely related it is to those topics.
| Automação - manutenção , contabil e resumos - Moto |
Generalized versions of all root .md files used by OpenClaw. These files are loaded into the agent's system prompt on every request (except MEMORY.md which is conditional).
Copy these as starting points and customize for your own setup. Replace <placeholders> with your values.
Companion prompts for the video: OpenClaw after 50 days: 20 real workflows (honest review)
These are the actual prompts I use for each use case shown in the video. Copy-paste them into your agent and adjust for your setup. Most will work as-is or the agent will ask you clarifying questions.
Each prompt describes the intent clearly enough that the agent can figure out the implementation details. You don't need to hand-hold it through every step.
My setup: OpenClaw running on a VPS, Discord as primary interface (separate channels per workflow), Obsidian for notes (markdown-first), Coolify for self-hosted services.