![[PYTHON:TODAY]](https://cdn4.telesco.pe/file/JpXrA3GwbTy_8gzYvUEFEKOmU3W2ayn0JUIZL__97XXocB4CHbCCzyaI7DuAz_KkF-GUhUGv318mdy3aBOglX44LMpLnVNVJKCV8OgAT_FCH0jwYzjBk11B2lfcWfbUwGtb9gXWzTxxY6fblHr0aZ81hy7MktgAMZcgK7ZfY4HWCVklHQ-Xf5CnRn3xRttTUNaxAQlYqyNzCdmVudBBW6p6ObYEYYJimYbXq3guWGvZstaQmbeJrU3pv1_bdWJ_2oUQjrwnB4IEcdNUmkuk0W9kqXd8Ecs_WruSyFIyEMvyvdrWs0JwNZTykUDpiOOyRUqiWntcRO1hCTLPMM__OkA.jpg)
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[PYTHON:TODAY] 🤨 Ученые предложили постепенно сократить население Земли почти вдвое — до 4 миллиардов человек к 2200 году. Авторы исследования считают, что постепенное снижение численности населения может уменьшить нагрузку на природные ресурсы, сократить экологические…
You are a digital privacy specialist.
Help me reduce my public digital footprint as much as realistically possible using only legal, ethical methods.
My country or state: [LOCATION]
My full name and common variations: [NAME VARIATIONS]
Old usernames or aliases: [USERNAMES]
Old email addresses: [EMAILS]
Platforms I remember using: [PLATFORMS]
My biggest concerns: [ADDRESS / PHONE / OLD POSTS / PHOTOS / DATA BROKERS / SEARCH RESULTS / OTHER]
Do not ask me to paste passwords, government IDs, financial information, or other highly sensitive data.
Create a step-by-step plan covering these 10 areas:
Find public pages, profiles, posts, images, documents, and cached results connected to me.
Identify forgotten accounts using my old usernames, emails, and aliases.
Separate findings into: delete directly, request removal, make private, update, or monitor.
Find major data brokers and people-search sites relevant to my location.
Draft customized account-deletion and data-removal requests.
Explain how to request removal from Google, Bing, and other search engines when eligible.
Review my social profiles for exposed personal information and location clues.
Help me remove metadata from photos, videos, PDFs, and documents before posting.
Check whether my email addresses have appeared in known data breaches and explain the safest next steps.
Create an ongoing monitoring system so I can catch new exposures.
For each step, provide:
- The exact action to take
- Where to do it
- A search query, message, or template I can copy
- The estimated difficulty
- The privacy impact
- What proof or confirmation I should save
- When I should follow up
Start by asking me only the minimum questions needed to personalize the plan. Then create a prioritized checklist beginning with the highest-risk exposures.
Be honest about what cannot be fully erased. Do not recommend fake identities, impersonation, deceptive information, illegal access, harassment, or attempts to evade law enforcement.
At the end, create a tracker with these columns:
Platform or website | Personal information exposed | Removal method | Request date | Follow-up date | Status | Confirmation saved
Объясни мне концепцию/тему [НАЗВАНИЕ ТЕМЫ], так, будто мне 10 лет. Используй самые простые метафоры и аналогии из реальной жизни.
Я хочу с нуля освоить навык [НАЗВАНИЕ, например: копирайтинг]. Составь для меня жесткий 30-дневный план обучения по 30 минут в день. Напиши, что конкретно изучать каждую неделю и какие бесплатные ресурсы использовать.
Я хочу проверить свои знания по теме [ТЕМА]. Задавай мне по одному вопросу средней сложности по очереди. Я буду отвечать, а ты пиши, прав я или нет, исправляй ошибки и только потом задавай следующий вопрос.
Я изучил теорию по теме [ТЕМА]. Придумай для меня 3 простых практических проекта-задания, которые я могу сделать сам за выходные, чтобы закрепить навык на практике и положить результат в портфолио.
Я считаю, что в теме [ТЕМА] главное - это [напиши свое понимание сути]. Действуй как строгий ментор. Найди в моем рассуждении логические ошибки или слепые зоны, о которых я даже не догадываюсь.
pip install pystray
pip install fast-plate-ocr[onnx-gpu]
from fast_plate_ocr import LicensePlateRecognizer
ocr = LicensePlateRecognizer("cct-s-v2-global-model")
print(ocr.run("plate.jpg"))
pip3 install holehe
holehe test@gmail.com
import trio
import httpx
from holehe.modules.social_media.snapchat import snapchat
async def main():
email = "test@gmail.com"
out = []
client = httpx.AsyncClient()
await snapchat(email, client, out)
print(out)
await client.aclose()
trio.run(main)
Forwarded from GODLIKE
git clone https://github.com/ashishpatel26/500-AI-Agents-Projects.git
cd 500-AI-Agents-Projects
cd agents/01-web-research-agent
pip install -r requirements.txt
cp .env.example .env
python agent.py
I want you to build a first-person shooter at the level of the most recent Call of Duty games. It should be utterly perfect, visually beautiful, with every single thing done at AAA quality—from textures to physics to anything you could think of.
Fan out sub-agents and have sub-agents tackle each one individually so that the game is utterly perfect. You should /loop on each item and have a separate sub-agent check it visually to ensure it looks triple A. That separate sub-agent should be a really harsh critic, and if it doesn't look triple A, it should keep going.
Don't stop until each sub-agent is utterly wowed with the quality when compared with the actual Call of Duty game. It should literally compare them side by side blind and say which one looks better. Do this in ThreeJS. /loop until it's utterly perfect. Fan out sub-agents and ultracode.
