This project, SMED, is a tool designed to analyze the emotional content of Instagram posts. It uses machine learning models to classify emotions and displays the results on a user-friendly dashboard.
Every project runs on a normal laptop with no GPU, calling models through a hosted inference provider (Nebius or OpenRouter), configured once at the repo root. Some have other local requirements, see ...
Cold storage crypto recovery drill: restore your backup on a second wallet and prove it with a watch-only Python script in 12 ...
Is Muse actually a free VPS with 150GB of user disk space and a reasonably smart AI agent!?AI agents have not just a 'brain' ...
Discover how Open Cosmos connects Earth observation, onboard processing, and satellite communications to turn orbital data ...
Binance suffers $6.3B cryptocurrency theft and Capcom reports exposure of nearly 11.8M customer records, although AI ...
AI coding agents can use developer credentials, run commands and try alternatives after security blocks. Their actions cross ...
This week's ThreatsDay Bulletin covers the $6.43B crypto heist, Volt Typhoon, ChatGPT flaws, AI extension backdoors, spyware, critical CVEs, and more.
The Google Play Store is the primary method of downloading Android apps on all Android phones. There are many reasons why you ...
Introduction: This is not a 'product'On October 31, 2026, the DeepSeek Harness team suddenly released ...
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