2026-06-04 Giovedì

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What Are Some Good Paths for Chinese Web3 Entrepreneurship? (Part 5)

This article explores pathways for Chinese Web3 teams to pivot toward AI, building on a previous discussion. It focuses on two specific team profiles: **Security & Risk Control Teams:** These teams, skilled in smart contract auditing, wallet security, and on-chain monitoring, can transition to providing **Agent behavior auditing and AI security governance**. As AI Agents automate tasks, access data, and trigger payments, enterprises will need solutions to monitor permissions, audit logs, control data access, and prevent anomalies—creating a strong B2B demand. **Application & Community-Focused Teams:** Instead of completely rebranding as AI companies, these teams should use AI to **enhance their existing products**. For example, research platforms can use AI to summarize information and identify signals; community tools can automate user support and analysis; and educational products can create personalized learning paths. The key is integrating AI to solve existing user pain points, like information overload or high operational costs. The article also advises against certain AI directions for Chinese Web3 teams, such as building general-purpose large language models (too resource-intensive), creating overly broad Agent platforms (hard to monetize), developing AI traders/automated yield products (high regulatory and risk sensitivity), or simply adding superficial AI features without genuine value. The core conclusion: Successful migration depends not on chasing AI hype, but on **identifying how a team's existing Web3 capabilities—be it in data, payments, security, or user operations—can address real needs in new AI application scenarios.**

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What Are Some Good Paths for Chinese Web3 Entrepreneurship? (Part 5)

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SpaceX, OpenAI, Anthropic: The Three AI Giants Racing for IPO, Which One Is Worth Betting On?

SpaceX, OpenAI, and Anthropic are poised for historic IPOs within weeks, potentially raising a combined $180 billion—a sum exceeding the entire internet bubble's fundraising. The hosts of the Limitless Podcast argue this isn't just individual company financing but an unprecedented capital concentration for AI infrastructure, driven by an insatiable need for compute, data centers, power, and chips. SpaceX's IPO is notable for reportedly changing market index rules to allow faster inclusion, potentially funneling trillions in passive retirement funds into its stock, despite its unproven space-based data center business model. In contrast, Anthropic demonstrates explosive growth, with ARR reportedly hitting $45 billion and approaching profitability, fueled by strong enterprise adoption of products like Claude Code. Google's separate $80 billion raise highlights the immense capital pressure, even for giants. The discussion acknowledges bubble risks but leans optimistic. The hosts contend the massive spending is building essential physical infrastructure for the next technological era. A key bottleneck isn't capital but the real-world limits of chip manufacturing and construction speed. As long as demand for AI compute outstrips supply, this investment cycle represents a foundational build-out rather than a purely financial bubble. All three companies are seen as foundational bets on the future, with Anthropic often cited as the most immediately compelling due to its proven revenue trajectory.

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SpaceX, OpenAI, Anthropic: The Three AI Giants Racing for IPO, Which One Is Worth Betting On?

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