Amazon’s Ring to partner with Flock, a network of AI cameras used by ICE, feds, and police
Agencies that use Flock can request that Ring doorbell users share footage to help with “evidence collection and investigative work.”
2025
Meta to shut down Messenger desktop apps for Mac and Windows
Starting December 15, users will no longer be able to log into the apps and will be automatically redirected to the Facebook website to access Messenger.
The real reason Google DeepMind is working with a fusion energy startup
Google has invested in fusion startups as potential power suppliers. This latest move suggests Google sees them as potential customers, too.
Rent a Cyber Friend will pay you to talk to strangers online and will show off its platform at TechCrunch Disrupt 2025
“Loneliness is the biggest disease in the world right now,” founder Francesco Vitali said. “So we built a platform where human time has value again, and a place where being…
How ByteDance Made China’s Most Popular AI Chatbot
An AI chatbot developed by TikTok’s parent company, ByteDance, is now more popular than DeepSeek. The feat proves that user-friendly design often matters more than having the most advanced AI…
Niantic’s Peridot, the Augmented Reality Alien Dog, Is Now a Talking Tour Guide
Niantic is giving its cute AR cartoon companions a voice that will let them guide you around in the real world and point out interesting facts. The feature is being…
Accessing Data Commons with the New Python API Client
Easily acquire data for your analysis via reliable sources.
The Silent Collapse of Scientific Accountability in the Age of AI
The Question No One’s Asking In the rush to adopt artificial intelligence across scientific fields, a quiet but seismic shift is underway: researchers are ceasing to ask the most essential…
How I Built a Data Cleaning Pipeline Using One Messy DoorDash Dataset
Cleaning 200K+ food delivery records to build a reliable machine learning dataset from DoorDash.
Qualifire AI Open-Sources Rogue: An End-to-End Agentic AI Testing Framework Designed to Evaluate the Performance, Compliance, and Reliability of AI Agents
Agentic systems are stochastic, context-dependent, and policy-bounded. Conventional QA—unit tests, static prompts, or scalar “LLM-as-a-judge” scores—fails to expose multi-turn vulnerabilities and provides weak audit trails. Developer teams need protocol-accurate conversations,…