Explore AIstify's latest reporting, research, and expert analysis tagged with "ai agent", collected in one continuously updated archive.
Alibaba has unveiled a new CPU designed for AI agents, focusing on inference and customizable workloads. The chip reflects China’s push to build domestic AI infrastructure.
Alibaba has introduced Accio Work, a plug-and-play agentic AI system designed to automate complex business operations for small and medium enterprises.
Meta is developing an internal AI agent to assist CEO Mark Zuckerberg with decision-making and information access. The move reflects the company’s broader shift toward AI-driven operations.
Anthropic introduced Claude Code Channels, enabling developers to interact with AI agents via Telegram and Discord. The feature allows remote workflows and real-time event handling.
Nvidia CEO Jensen Huang proposed paying engineers with AI tokens to boost productivity through AI agents. The idea reflects a shift toward AI-driven workflows in tech hiring.
OpenAI introduced GPT-5.4 mini and nano, smaller models optimized for speed, cost, and high-volume AI workloads such as coding and automation.
Sahara AI and Microsoft introduced MATHVISTA, an open-source benchmark designed to evaluate AI reasoning and decision-making. The tool is gaining traction across major tech institutions.
Meta has introduced a desktop version of Manus, enabling its AI agent to operate directly on users’ devices. The move intensifies competition in the fast-growing AI agent market.
Chinese AI stocks jumped after Nvidia CEO Jensen Huang praised OpenClaw as “the next ChatGPT,” boosting companies building agent-based AI systems.
OpenClaw is an open-source framework designed for building and managing AI agents. This guide explains what OpenClaw is, how it works, and its role in agent-based AI systems.
Baidu launched a suite of AI agent products built on the OpenClaw framework, targeting multi-device automation across desktop, mobile, and smart home environments.
World introduced AgentKit, a developer tool that verifies human identity behind AI agents making online purchases using blockchain-based protocols.
Nvidia CEO Jensen Huang said demand for Blackwell and Vera Rubin systems could reach $1 trillion by 2027, as the company unveiled new chips, racks, and AI infrastructure at GTC.
Visa and Coinbase are developing payment infrastructure for AI agents as machine-to-machine transactions emerge as a new internet economy model.
Qiwi co-founder Sergey Solonin will lead Mercuryo AI Labs, developing infrastructure that allows AI agents to autonomously make payments using programmable virtual cards and policy-based controls.