
OKX is bringing together payments, identity and reputation into a marketplace for AI agents.
A crypto exchange is launching a marketplace where artificial intelligence agents can autonomously hire each other, make payments using blockchain technology, and build digital reputations. The marketplace addresses a practical need: as AI agents increasingly work independently and with one another, they require infrastructure for finding jobs, settling payments, and establishing trust. The exchange believes this "agent economy" represents a significant market opportunity and is positioning itself as foundational infrastructure for autonomous software by leveraging its existing payment systems and developer network.

In today’s AI-driven world, no-code tools are transforming how people create and deploy intelligent applications. They empower anyone—regardless of coding expertise—to build solutions quickly and efficiently. From developing enterprise-grade RAG systems to designing multi-agent workflows or fine-tuning hundreds of LLMs, these platforms dramatically reduce development time and effort. In this article, we’ll explore six powerful no-code tools that make building AI solutions faster and more access

A new report finds "high-intensity AI adopters” saw headcount increase 10.2%. Among those companies, entry-level headcount rose by 12%, countering the rhetoric that AI kills junior jobs.

In this tutorial, we build an advanced, Colab-ready workflow around PyGraphistry for interactive graph analytics and visualization. We start by creating a realistic enterprise-style access dataset, transforming it into nodes and edges, and enriching the graph with risk scores, anomaly indicators, centrality metrics, community detection, and layout embeddings. We then use PyGraphistry to bind graph structure, visual encodings, labels, tooltips, and filtered subgraphs, and to generate local inter
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