Grayscale Decentralized AI Fund Now Open to Accredited Investors: Focuses on AI and Crypto Intersection
PorAinvest
martes, 22 de abril de 2025, 3:03 am ET1 min de lectura
FIL--
The Grayscale Decentralized AI Fund aims to provide investors with diversified exposure to digital assets that focus on AI and blockchain technology. The fund's holdings include Near Protocol (NEAR), Filecoin (FIL), Render (RENDER), Livepeer (LPT), and Bitternsor (GRT) [2]. These holdings are strategically chosen to cover three key areas: decentralized AI services, solutions to AI-related challenges, and AI infrastructure.
The fund's focus on decentralized AI services includes chatbots and image generation services, while solutions to AI-related challenges encompass authenticity checks against bots, deepfakes, and misinformation. Additionally, the fund targets AI infrastructure by investing in decentralized marketplaces for data storage, GPU computation, 3D rendering, and streaming services [2].
Grayscale's Head of Product & Research, Rayhaneh Sharif-Askary, believes that decentralized AI holds the potential to bring important decisions regarding AI development out from walled gardens and into public ownership. The company acknowledges its belief in Bittensor as a decentralized AI platform that can provide a viable alternative to centralized AI incumbents [2].
The Grayscale Bittensor Trust, which is part of the Grayscale Decentralized AI Fund, enables investors to gain exposure to Bittensor and its underlying token, TAO. The trust facilitates the development of open and global AI systems through decentralized networks and economic incentives [2].
The Grayscale Decentralized AI Fund is designed to provide investors with a secure and convenient way to invest in decentralized AI without the challenges of buying, storing, and safekeeping virtual currencies directly. The fund will rebalance quarterly, ensuring that investors have access to the latest opportunities in the rapidly evolving AI and crypto markets [2].
References:
[1] https://www.mitrade.com/insights/news/live-news/article-3-772880-20250422
[2] https://www.cryptopolitan.com/grayscale-decentralized-ai-fund/
LPT--
RNDR--
Grayscale's Decentralized AI Fund is now open to eligible accredited investors, with a 2.5% management fee and approximately $1.05 million in assets. The fund focuses on AI and crypto, with holdings including Near Protocol, Filecoin, Render, Livepeer, and Bitternsor. The fund targets three categories: decentralized AI services, solutions to AI-related challenges, and AI infrastructure.
Grayscale Investments has announced the opening of its Decentralized AI Fund to eligible accredited investors, marking a significant step in the intersection of artificial intelligence and cryptocurrency. The fund, which was previously available only through private placement, has a management fee of 2.5% and currently manages approximately $1.05 million in assets [1].The Grayscale Decentralized AI Fund aims to provide investors with diversified exposure to digital assets that focus on AI and blockchain technology. The fund's holdings include Near Protocol (NEAR), Filecoin (FIL), Render (RENDER), Livepeer (LPT), and Bitternsor (GRT) [2]. These holdings are strategically chosen to cover three key areas: decentralized AI services, solutions to AI-related challenges, and AI infrastructure.
The fund's focus on decentralized AI services includes chatbots and image generation services, while solutions to AI-related challenges encompass authenticity checks against bots, deepfakes, and misinformation. Additionally, the fund targets AI infrastructure by investing in decentralized marketplaces for data storage, GPU computation, 3D rendering, and streaming services [2].
Grayscale's Head of Product & Research, Rayhaneh Sharif-Askary, believes that decentralized AI holds the potential to bring important decisions regarding AI development out from walled gardens and into public ownership. The company acknowledges its belief in Bittensor as a decentralized AI platform that can provide a viable alternative to centralized AI incumbents [2].
The Grayscale Bittensor Trust, which is part of the Grayscale Decentralized AI Fund, enables investors to gain exposure to Bittensor and its underlying token, TAO. The trust facilitates the development of open and global AI systems through decentralized networks and economic incentives [2].
The Grayscale Decentralized AI Fund is designed to provide investors with a secure and convenient way to invest in decentralized AI without the challenges of buying, storing, and safekeeping virtual currencies directly. The fund will rebalance quarterly, ensuring that investors have access to the latest opportunities in the rapidly evolving AI and crypto markets [2].
References:
[1] https://www.mitrade.com/insights/news/live-news/article-3-772880-20250422
[2] https://www.cryptopolitan.com/grayscale-decentralized-ai-fund/

Divulgación editorial y transparencia de la IA: Ainvest News utiliza tecnología avanzada de Modelos de Lenguaje Largo (LLM) para sintetizar y analizar datos de mercado en tiempo real. Para garantizar los más altos estándares de integridad, cada artículo se somete a un riguroso proceso de verificación con participación humana.
Mientras la IA asiste en el procesamiento de datos y la redacción inicial, un miembro editorial profesional de Ainvest revisa, verifica y aprueba de forma independiente todo el contenido para garantizar su precisión y cumplimiento con los estándares editoriales de Ainvest Fintech Inc. Esta supervisión humana está diseñada para mitigar las alucinaciones de la IA y garantizar el contexto financiero.
Advertencia sobre inversiones: Este contenido se proporciona únicamente con fines informativos y no constituye asesoramiento profesional de inversión, legal o financiero. Los mercados conllevan riesgos inherentes. Se recomienda a los usuarios que realicen una investigación independiente o consulten a un asesor financiero certificado antes de tomar cualquier decisión. Ainvest Fintech Inc. se exime de toda responsabilidad por las acciones tomadas con base en esta información. ¿Encontró un error? Reportar un problema



Comentarios
Aún no hay comentarios