Sam Altman said intelligence would be as cheap as tap water. Eighteen months later, business owners in Taiwan aren’t feeling lifted by the rising tide — they’re staring at a choice nobody prepared them for: AI can make one person do the work of three, but the other two have been with you for years.
Most AI founders start optimizing token costs before they even find product-market fit. But in an era where intelligence is becoming as cheap as electricity, penny-pinching on tokens might be killing your product experience.
A hands-on look at OpenClaw — an open-source self-hosted AI agent framework. This post walks through the full setup on an Ubuntu VM: installation, connecting to OpenAI Codex, and wiring up a Discord bot, plus observations on the architectural trade-offs and security isolation considerations.
When Google banned thousands of OpenClaw users without warning, the real battle wasn’t about server load. It was about who gets to own your digital memory. From the ban wave to a bidding war for talent to Meta’s $2B Manus acquisition — peeling back the layers of the AI agent gateway war.
A developer sent a voice message from Morocco. His AI agent figured out how to handle it on its own. That moment forced a complete recalibration — of what we think AI can do, what apps are for, and what privacy even means anymore.
An annotated reading guide to Ray Dalio’s latest essay ‘It’s Official: The World Order Has Broken Down,’ breaking down the Big Cycle framework, historical parallels to the 1930s, and what it means for the current US-China standoff.
An in-depth exploration of AI Agent-driven payment transaction protocols, covering core concepts, Python implementation examples, verifiable digital credentials, multi-role architecture, transaction flows, and security considerations.
As AI Agent applications grow in complexity, single-agent architectures start showing their limitations. This article explores enterprise-grade multi-agent system design patterns, from coordinator patterns to iterative refinement, helping you build maintainable and scalable AI systems.
AI doesn’t have to run in the cloud. From experience to compliance to cost, Edge AI has structural advantages across all three dimensions. This article explores why enterprises should rethink their AI deployment strategy—from business value to technical implementation.
Abstract This article translates and analyzes the ERC-8004: Trustless Agents proposal (draft version), which adds a “trust layer” on top of the existing Agent-to-Agent (A2A Protocol), enabling participants to discover, select, and interact with agents in cross-organizational contexts without pre-existing trust. It introduces three lightweight and on-chain registries: Identity, Reputation, and Validation; while delegating application-level logic details to off-chain components. Original Proposal: ERC-8004 on EIPs Motivation The existing A2A Protocol already covers agent authentication, skill announcement via AgentCard, direct messaging, and complete task lifecycle collaboration. Its adoption by major tech companies demonstrates clear market demand. ...