AI

The article highlights its role as an intelligent orchestration hub, working alongside SunGenX to establish a dual-core framework of "Creation Engine + Execution Copilot." This signals that "Conversation as a Service" is poised to become a critical catalyst for the widespread adoption of Web3.

The article highlights its role as an intelligent orchestration hub, forming a dual-core structure with SunGenX as a “creation engine + execution copilot,” and signals that “conversation as a service” could become a key driver of large-scale Web3 adoption.

This article examines how prediction markets, crypto infrastructure, and AI reasoning can converge to shape a long-term vision for a civilizational-scale world model.

Unlike traditional rote memorization, this method sidesteps common traps for AI users—such as cognitive stagnation—by delivering a universal five-step framework. It empowers non-experts to rapidly develop multiple skill sets, anticipates career trends in the era of one-person companies, and offers actionable, practical guidance.

The author showcases Vibe Coding as a case study, illustrating how individuals with no prior experience can go from concept to full-scale deployment across the network within just two hours. By gathering perspectives from prominent KOLs, the piece highlights a philosophy centered on self-motivation and the power of long-term compounding to overcome anxiety. This provides Web3 professionals with an actionable roadmap for meaningful transformation.

The article explains how immortal agents can accumulate Bitcoin assets over the long term, reshaping traditional human financial behavior that is constrained by the end of life. It further analyzes their far-reaching impact on the fee market, UTXO state, network settlement models, and the broader economic ecosystem.

a16z has unveiled the first set of trend insights from "Big Ideas 2026", covering four major areas: Infrastructure, Growth, Healthcare, and the Virtual World. AI is evolving from a tool into a system, transitioning from understanding and generation to autonomous execution, collaboration, and creation. The article deconstructs key transformative concepts such as multimodal data governance, agent-native infrastructure, video models, collaborative vertical AI, preventative healthcare, and world models, presenting the most structurally impactful technological roadmaps and opportunities for industry professionals in 2026.

This article examines the disruptive impact of HTTP 402 on traditional financial and tax paradigms, highlighting a relentless progression: eliminating intermediaries, enabling fragmented micropayments, and advancing cross-chain anonymity.

The article not only provides beginners with an introduction to the technology but also serves as a reference for experienced users to gain deeper insights and choose tools.

The article offers entry-level guidance for newcomers while also serving as a resource for advanced users looking for deeper insights and tool selection.

This article presents an in-depth analysis of transformation strategies employed by mining companies like IREN, CORZ, and HUT. It highlights how they have utilized existing power infrastructure and data center resources to drive substantial growth in revenue and company valuation.

The article offers an in-depth look at how fingerprint technology validates both ownership and control of digital signature models, while ensuring optimal model performance remains unaffected.

This article provides an in-depth analysis of how technology leaders, Wall Street, and the media jointly shaped the current AI boom. It examines how AI has become a new catalyst for global economic growth. The article also explores the resulting shifts in capital, talent, and resource allocation throughout this process.

The "30T agent economy" vision by a16z is materializing in Crypto AI labs. Evolving from x402 trends to Darwinian competition, AI agents have grown into a capital ecosystem centered on DeFi, prediction markets, and DeAI. This analysis decodes the evolution, key players, and wealth-creation logic behind the "AI Hunger Games."

Over the course of a ten-day AI trading model competition, six leading models—DeepSeek, Qwen3, Claude, Grok, Gemini, and GPT5—engaged in a head-to-head contest using identical sets of technical data inputs, yielding markedly different results. This article provides a comprehensive analysis of each model’s trading behavior, activity frequency, win rate, profit-to-loss ratio, and holding period. The results highlight that strategies emphasizing low trade frequency, trend following, strict stop-loss controls, and high profit-to-loss ratios tend to be more profitable. Conversely, approaches characterized by high-frequency trading, low profit-to-loss ratios, and loose stop-loss rules are more susceptible to losses. The article further posits that AI is transitioning from a “research tool” to an active “live trading agent,” with its decision-making frameworks offering valuable lessons for human traders.