A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

The year 2026 is poised to mark a turning point for AI agents in the enterprise. After several years of hype and ...

Perplexity is pushing beyond search with Comet, major distribution deals, and in-chat shopping — while lawsuits test how far ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

This engineer titled his 2024 retrospective “interconnected themes galore.” Both new and expanded connections can lead to ...

This concept isn’t new—in fact, it is the essence of representational state transfer (REST). Instead of converting to a ...

From agentic AI to vibe coding, here are 15 predictions that will define how small businesses use AI in 2026 and beyond.

This is the core challenge that agentic identity aims to solve. In simple terms, agentic identity is a framework for binding ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Agentic AI challenges the foundational tenets of our legal frameworks, which have historically relied on clear lines of ...

Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...

As AI moves from controlled experiments into real-world applications, we are entering an inflection point in the security ...