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Tiger Research: What AI Services Do Crypto Companies Offer?

This Tiger Research report examines the growing trend of cryptocurrency companies integrating AI services, driven by a fear of missing out (FOMO). Unlike previous cycles, established and profitable firms like Coinbase and Binance are leading this charge, moving AI from theory to practical necessity. Key areas of AI adoption include: - **Research:** Projects like Surf are building crypto-native AI tools that aggregate fragmented on-chain and social data, providing more accurate answers than general AI models. - **Trading:** Exchanges are deploying AI to let users execute trades via natural language commands, lowering the barrier for non-developers and automating strategies. The goal is user retention in an increasingly competitive landscape. - **Security/Audit:** Firms like CertiK use AI to enhance smart contract audits by automating initial code scans and enabling post-audit, real-time monitoring, thus addressing previous security blind spots. - **Payment Infrastructure:** Protocols are emerging to enable AI agents to make autonomous payments (e.g., for APIs or services) using on-chain wallets and stablecoins. Circle’s proposed Gateway-x402 integration is a notable example, though this field is still nascent. The push is fueled by rapid AI advancements (e.g., MCP, OpenClaw) and competitive anxiety. However, the report cautions that while adoption is accelerating, the gap between offering a feature and its actual, trusted use remains significant. The motivation is strategic positioning for an AI-driven future, not just marketing.

marsbit03/30 06:41

Tiger Research: What AI Services Do Crypto Companies Offer?

marsbit03/30 06:41

Meta Spent $90 Billion to Close the Metaverse, $2 Billion to Let AI Live in Your Computer

Meta spent $90 billion to build the metaverse, only to shut down its flagship VR platform, Horizon Worlds, on June 15. The virtual world, launched in 2021 with great fanfare, failed to attract a meaningful user base despite massive investment. Its closure marks a symbolic end to Meta’s ambitious—and costly—bet on the metaverse, which accumulated nearly $90 billion in losses over seven years. Simultaneously, Meta is aggressively pivoting to AI. It acquired AI startup Manus for $2 billion, which recently launched a desktop version allowing AI to operate directly on users' local machines—reading files, running apps, and executing commands. In contrast to the metaverse’s weak adoption, Manus reached one million paid users within eight months. The shift is stark: Meta is cutting 20% of its workforce—around 15,000 jobs—and reallocating nearly its entire $115–135 billion capital expenditure budget toward AI infrastructure. This abrupt turn reflects industry-wide FOMO (fear of missing out) on AI, similar to the metaverse hype half a decade ago. Companies like Block, Shopify, and Amazon are also slashing jobs to fund AI investments. While Meta faces internal challenges—including delayed AI models and executive departures—its drastic realignment underscores a broader trend: the consensus has shifted from virtual worlds to ambient AI. The question remains whether this new bet will prove more sustainable than the last.

marsbit03/19 04:53

Meta Spent $90 Billion to Close the Metaverse, $2 Billion to Let AI Live in Your Computer

marsbit03/19 04:53

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