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

Enterprises are likely to shift from single-task AI to multi-agent systems, enabling autonomous, adaptive operations, but trust and orchestration remain problematic.

Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and into production ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

BEIJING, Dec. 27, 2025 /PRNewswire/ -- On December 22, Z.ai released GLM-4.7, the latest iteration of its GLM large language ...

Global crypto phishing losses fell 83% this year to $83.85 million, with fewer victims as market activity slowed, according ...

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.

StarkWare is a company that enables the use of zero-knowledge proofs. This technology allows counterparties to obtain verifiable information without ...

The deal arrives as Meta accelerates its AI investments to compete with Google, Microsoft, and OpenAI — and as the industry’s ...

Docker is an important tool for developers and for running apps across networks, and it has many uses for the pro and ...

Espanso is an open-source, cross-platform text expander. I simply define short, plain-text triggers that instantly expand into massive, complex blocks of text. Here’s how it saves me hours every week.

Gorka Bilbao Terreros argues that we need to look beyond the practical, career-focused benefits of world language education ...