Police Reportedly Using AI to Flag Drivers for Suspicious Behavior

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A Gizmodo report, shared on Hacker News, says police are now using artificial intelligence to decide which drivers to pull over. The systems reportedly flag vehicles based on behavior the software considers suspicious. The available text is limited to a link and metadata, so the specific agencies, locations, and details of how the tools work could not be confirmed. Further reporting would be needed to assess how the technology is applied and what oversight exists.

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Phantom AI: A Halloween Chatbot Running on Local Open-Weight Models

A developer has built Phantom AI, a spooky interactive chatbot themed around the Ghost in the Machine concept for a Hacktoberfest challenge. Users can converse with different ghost personalities, ask questions, and generate eerie stories through a haunted terminal-style interface. The front end is built with HTML, CSS, and JavaScript, while responses come from the Qwen3 open-weight model run locally through Ollama. The project aims to show how open-weight models can power creative applications with more user control over data and experimentation. The author notes trade-offs such as hardware requirements and storage needs, and the public website may not fully work without a local Ollama setup.

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ProgrammingDEV Community ·

Crystal Explained: Ruby-Style Syntax With Compiled Native Speed

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ProgrammingDEV Community ·

OpenAI DALL-E vs DeepAI for Small Catalog Apps: Storage and Cost Trade-offs

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ProgrammingDEV Community ·

HauntShell: A Haunted Terminal and Séance Altar Honoring Dead Technologies

HauntShell is an open-source retro terminal built for the Hacktoberfest AI Challenge's Ghost in the Machine theme, timed to Halloween and Día de los Muertos. It intercepts common shell commands such as git commit, rm -rf, and sudo reboot, responding with eerie, darkly humorous commentary and tracking invented "ectoplasm levels." A separate digital altar lets users converse with personas representing obsolete technologies, including Adobe Flash, Ada Lovelace, COBOL, and GeoCities. The project runs on open-weight models through Ollama, with cloud backups via Groq and Gemini and a built-in offline fallback for testing. Its ambient soundscape is generated entirely in the browser using the Web Audio API, requiring no sound files or internet connection.

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