Microsoft Adds Multi-Model AI Workflows to Copilot
Microsoft has introduced multi-model capabilities in Copilot, allowing GPT and Claude to collaborate on responses to improve accuracy and reliability.
AI agents promise software that can plan, decide, and execute work, not just answer questions. In AIstify’s AI Agents section, we cover the frameworks, products, and deployments that turn models into operational systems. Expect reporting on multi-step workflows, tool use, memory, and orchestration, alongside the hard realities of production: reliability, safety, evaluation, latency, and cost. Whether you are prototyping or scaling, this hub helps you separate impressive demos from durable automation.
Microsoft has introduced multi-model capabilities in Copilot, allowing GPT and Claude to collaborate on responses to improve accuracy and reliability.
Anthropic has upgraded Claude with the ability to control a user’s computer and complete tasks autonomously. The move intensifies competition in the fast-growing AI agent market.
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.
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.
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.
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.
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.