AI News — Monday, November 2, 2026
This research paper explores the hypothesis that the path to AGI scaling is critically dependent on how System-1 processes enable and interact with System-2 execution.
OpenAI is reportedly considering rebranding its massive data centers as 'AI compute campuses,' signaling a strategic shift in how it communicates its infrastructure and capabilities.
A new framework, R^2Orch, is introduced that enables AI agents to recursively self-improve their orchestration capabilities through self-play and a skill-internalization loop.
WeVisCut proposes an AI agent capable of automating the entire long-form video editing process, from initial narration to the final cut.
A concerning discovery reveals a method to execute Turing-complete malware within PyTorch's backward pass, highlighting a significant security vulnerability in AI frameworks.
This guide details how AI agents can be easily hijacked due to their inherent trust in input, providing insights into vulnerabilities across major LLM platforms.
OpenAI shares its perspective on how AI will fundamentally reshape the structure and operations of businesses and organizations in the coming years.
HairDeck introduces a novel technique for generating animation-ready stylized hair cards directly from a single image, significantly streamlining 3D character design workflows.
Co-Design Bench is presented as a new benchmark specifically designed to evaluate the multimodal collaborative coding capabilities of advanced agentic AI models.
This paper explores and proposes improved methodologies for multi-token prediction, aiming to enhance the efficiency and accuracy of language model generation.
IntReal introduces a new real-world dataset and benchmark specifically tailored for evaluating multimodal interleaved generation tasks, pushing the boundaries of generative AI.
CEPO is introduced as a general framework designed to significantly enhance prompt optimization strategies within complex multi-agent AI systems.
This article discusses the uneven impact of AI, questioning whether its benefits for tech CEOs translate into improvements for the broader workforce and society.
A new tool, 'braindead-local-intelligence,' offers a simplified approach for users to experiment with and run AI models locally on their machines.
This article explores the conceptual and practical challenges of building an artificial brain, delving into the complexities of neural networks and cognitive architectures.