# Сопутствующие статьи по теме DePIN

Новостной центр HTX предлагает последние статьи и углубленный анализ по "DePIN", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

OpenMind, the Leader in the Robotics Track, is About to TGE: Is the $400 Million Valuation New Token Sale Worth Participating In?

OpenMind, a leading robotics company, is set to conduct a Token Generation Event (TGE) for its native token ROBO on the Kaito platform. With a fully diluted valuation (FDV) of $400 million, the token sale aims to raise $2 million, representing 0.5% of the total token supply. The public sale begins on January 26 at 8 PM Beijing Time, with a per-address investment limit of $1,000 to $250,000 and tokens fully unlocked at TGE. Founded by Stanford professor Jan Liphardt, OpenMind is developing a universal operating system and decentralized network for intelligent machines, enabling global collaboration between robots. It has received backing from major investors like Pantera Capital, Coinbase Ventures, and DCG, and was recognized among the top 100 robotics startups of 2025. Notably, NVIDIA's Robotics division has shared OpenMind's content, indicating close ties. The project operates alongside the Fabric Foundation, an independent entity managing the protocol’s governance and ecosystem. The ROBO token sale includes a 40% priority allocation for partner communities, with the remaining 60% open to the general public. However, the $400 million FDV is considered high compared to similar AI and robotics projects like Virtuals ($540M), Sentient ($200M), and Grass ($127M). Concerns include unclear tokenomics and potential sell pressure from early investors if institutional tokens are unlocked at TGE, making the offering less attractive despite strong backing.

Odaily星球日报01/25 02:29

OpenMind, the Leader in the Robotics Track, is About to TGE: Is the $400 Million Valuation New Token Sale Worth Participating In?

Odaily星球日报01/25 02:29

Understanding Jensen Huang's Physical AI: Why Is Crypto's Opportunity Also Hidden in the 'Nooks and Crannies'?

Jensen Huang's recent speech at Davos signals a pivotal shift in AI: the transition from the training-focused "brute force" era of AI 1.0 to the new paradigm of "Physical AI" and inference. This marks the next phase after Generative AI, focusing on real-world application and embodiment. Physical AI aims to solve the "last-mile" problem of AI: moving from digital intelligence to physical action. While LLMs have consumed vast digital data, they lack understanding of the physical world—like how to twist open a bottle cap. Physical AI requires three core capabilities: 1. Spatial Intelligence: AI must perceive and interpret 3D environments in real-time, understanding object properties, depth, and interaction dynamics. 2. Virtual Training Grounds: Systems like NVIDIA’s Omniverse enable simulation-to-real (Sim-to-Real) training, allowing robots to learn through vast virtual iterations without costly physical failures. 3. Electronic Skin and Touch Data: Sensors that capture tactile feedback—temperature, pressure, texture—are critical. This data is a new, untapped asset class. This shift opens significant opportunities for Crypto and Web3 ecosystems. DePIN networks can crowdsource hyperlocal spatial data from "every corner" of the world through token incentives. Distributed computing networks can provide edge-based rendering and inference power for low-latency physical responses. Tokenized data ownership and privacy-preserving sharing mechanisms can enable the scalable, ethical collection of sensitive tactile data. In short, Physical AI isn’t just the next chapter for Web2—it’s a catalyst for Web3 domains like DePIN, DeData, and decentralized AI.

marsbit01/23 00:35

Understanding Jensen Huang's Physical AI: Why Is Crypto's Opportunity Also Hidden in the 'Nooks and Crannies'?

marsbit01/23 00:35

When AI Meets Crypto: 11 Scenarios of Ongoing Technological Convergence

When AI Meets Crypto: 11 Emerging Convergence Scenarios The integration of AI and crypto is reshaping the internet's economic model, offering decentralized, user-owned alternatives to centralized control. Key convergence areas include: 1. Persistent data and interaction context via blockchain, enabling AI to remember user preferences across sessions and platforms. 2. Universal "passports" for AI agents, allowing portable, interoperable identity and payment capabilities. 3. Forward-compatible proof-of-human systems (e.g., Worldcoin) to distinguish humans from AI bots. 4. DePINs (Decentralized Physical Infrastructure Networks) for scalable, resilient AI compute resources. 5. Blockchain-based protocols for AI-to-AI interactions, enabling autonomous transactions and workflows. 6. Synchronization layers for AI-generated applications to maintain compatibility amid rapid software evolution. 7. Micropayments and revenue-sharing models to compensate content creators when AI uses their data. 8. Blockchain IP registries (e.g., Story Protocol) for transparent attribution and licensing in generative AI. 9. Compensating web crawlers via crypto payments, ensuring fair compensation for data usage. 10. Privacy-preserving, personalized advertising using zero-knowledge proofs and micro-incentives. 11. User-owned AI companions hosted on censorship-resistant platforms for controlled, persistent relationships. These innovations aim to create a more open, equitable, and resilient internet by leveraging crypto's decentralized trust and AI's capabilities.

marsbit01/22 00:41

When AI Meets Crypto: 11 Scenarios of Ongoing Technological Convergence

marsbit01/22 00:41

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