Practices for Governing Agentic AI Systems

In the News The “Muskonomy” 2026: From Earthly Chaos to Orbital Overlords Intro: Buckle Up, Earthlings Welcome to February 2026, where the “Final Frontier” is starting to look less like a silent void and more like a giant, floating server farm. While the rest of us are still trying to remember our passwords, Elon Musk…

Recent advancements in large language models (LLMs) have propelled the field forward in interpreting and executing instructions. Despite these strides, LLMs still grapple with errors in recalling and composing world knowledge, leading to inaccuracies in responses. To address this, the integration of auxiliary tools, such as using search engines or calculators during inference, has been…

Despite the utility of large language models (LLMs) across various tasks and scenarios, researchers need help to evaluate LLMs properly in different situations. They use LLMs to check their responses, but a solution must be found. This method is limited because there aren’t enough benchmarks, and it often requires a lot of human input. They…

In artificial intelligence, the challenge arises when multiple AI agents need to work together seamlessly to tackle complex tasks. This collaborative intelligence is essential for building intelligent assistant platforms, automated customer service ensembles, or multi-agent research teams. Existing solutions, like Autogen and ChatDev, have their strengths, but they come with limitations, such as complex programming…

Powered by global.ntt In the News Google restructures finance team as part of AI shift, CFO tells employees in memo Alphabet CFO Ruth Porat said in a memo Wednesday that Google is restructuring its finance organization, a move that will include layoffs and relocations, as the company pushes resources to favor investments in AI. cnbc.com…

The advancement of AI has led to remarkable strides in understanding and generating content that bridges the gap between text and imagery. A particularly challenging aspect of this interdisciplinary field involves seamlessly integrating visual content with textual narratives to create cohesive and meaningful multi-modal outputs. This challenge is compounded by the need for systems that…