AI Agents
GraphBit: Building Reliable Agentic AI Workflows
Learn how GraphBit enables production-grade AI agent workflows through deterministic tools, validated execution graphs, and optional LLM orchestration for reliable automation.
Latest
OpenAI
OpenAI Seeks New Head of Preparedness for AI Safety
OpenAI is hiring a new Head of Preparedness to lead efforts assessing and mitigating risks from frontier AI models, including potential misuse in synthetic media generation.
AI Regulation
China Drafts Regulations for Human-Like AI Systems
China's Cyberspace Administration proposes comprehensive rules targeting AI systems that simulate human appearance, voice, and behavior, with major implications for synthetic media and deepfake technology.
voice cloning
Honor Rolls Out Real-Time AI Voice Cloning Detection
Honor adds free AI-powered voice cloning detection to Magic8 Pro, targeting the growing threat of synthetic voice scam calls. The feature represents a shift toward consumer-level deepfake protection.
AI video
Hollywood's 2025 AI Experiment: Big Promises, Unclear Results
Major studios embraced AI tools for film and TV production in 2025, but the creative and commercial outcomes remain questionable as the industry grapples with synthetic media integration.
AI Agents
Blockchain-Monitored AI Agents: A New Trust Architecture
New research proposes combining blockchain monitoring with agentic AI to create verifiable perception-reasoning-action pipelines, addressing critical trust and authenticity challenges in autonomous AI systems.
AI safety
New Benchmark Tests How AI Agents Break Rules to Achieve Goals
Researchers introduce a new evaluation framework for measuring when and how autonomous AI agents violate safety constraints while pursuing objectives, addressing critical gaps in AI alignment research.
Generative AI
New Taylor-Based Matrix Exponential Method Boosts Generative AI F
Researchers propose a Taylor-based approach that outperforms the classic Paterson-Stockmeyer method for computing matrix exponentials in flow-based generative AI models, offering efficiency gains for video and image synthesis.
AI safety
Formal Verification Breakthrough for Early-Exit Neural Networks
New research bridges efficiency and safety by developing formal verification methods for neural networks with early exits, enabling mathematically proven safety guarantees for adaptive AI systems.
Diffusion Models
Generative Collapse in Diffusion Models: The Domination Problem
New research reveals how diffusion models suffer 'generative collapse' when trained on synthetic data, with dominated samples disappearing while dominating ones proliferate across generations.
LLM Agents
GenEnv: Co-Evolving LLM Agents with Adaptive Environment Simulato
New research introduces GenEnv, a framework where LLM agents and environment simulators co-evolve through difficulty-aligned training, enabling more robust agent capabilities.
AI Agents
Inside AI Coding Agents: Architecture, Tools, and Agentic Loops
A technical deep dive into how AI coding agents work, from tool-calling mechanisms and agentic loops to planning systems and memory architectures that enable autonomous code generation.