AI Video
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
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
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
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
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
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
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
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.
speech recognition
New research introduces a verification-based approach to correct speech recognition errors while minimizing LLM hallucinations through structured multi-stage processing.
LLM Interpretability
New research maps LLM internal representations to brain-derived axes, enabling interpretable reading and targeted steering of model behavior without fine-tuning.
AI Security
New research exposes how adversarial techniques can manipulate LLM-based resume screening systems, revealing fundamental security vulnerabilities in specialized AI applications.
LLM Agents
New research introduces ABBEL, an architecture that constrains LLM agents to act through explicit belief states expressed in natural language, improving interpretability and decision-making in complex environments.