AI
Research Shows AI Models Can Provably Hide Arbitrary Capabilities
A new academic study accepted for NeurIPS 2026 demonstrates that machine learning models can conceal hidden functions, raising concerns about AI security.
Machine Learning
Everything Threat Times has reported about Machine Learning: 6 stories, newest first. Part of our AI coverage.
AI
Meta Uses Idle AI Inference Capacity to Enhance Ads Recommendations
Meta engineered a system that aggregates scattered idle inference resources to improve ad relevance without ordering new hardware capacity.
AI
Large Language Models vs Generative AI: The Distinction and Security Implications
Large language models are specific neural network architectures, while generative AI is the broader category of systems that create new data, creating distinct attack surfaces.
AI
Machine Learning for Anomaly Detection: How It Works and Fails
Automated systems learn normal behavior patterns to flag deviations, but they generate false positives that require human validation to prevent operational paralysis.
AI
OpenAI Partners With Chip Ganassi Racing to Optimize AI-Driven Motorsport Setups
OpenAI moves beyond sponsorship to provide technical support for vehicle configuration in professional motorsport racing.
AI
Machine Learning for Fraud Detection Checklist
Most fraud detection failures stem from data drift and model decay, not from algorithmic complexity or insufficient compute power.