A New Era in the Artificial Intelligence Revolution: Investing with Decentralized AI
Artificial intelligence (AI) technology, with its enormous potential, seems to play a key role in shaping the future. However, the development of this technology also raises some important questions.
Innovative solutions offered by blockchain technology, such as decentralizing and controlling data, pave the way for a new trend in the field of artificial intelligence: Decentralized AI. This approach aims to eliminate the control and access problems that traditional artificial intelligence applications have.
Grayscale is increasing the excitement in this field by establishing a new fund to offer its investors the opportunity to invest in the future of artificial intelligence: Grayscale Decentralized AI Fund. The fund, which will be rebalanced this quarter, invests in a group of crypto assets focused on artificial intelligence, such as Bittensor (TAO), Filecoin (FIL), Livepeer (LPT), Near (NEAR) and Render (RNDR). These entities invest in projects that provide decentralized artificial intelligence services and infrastructure using blockchain technology.
Rayhaneh Sharif-Askary, Head of Product and Research at Grayscale, highlights the potential of the fund: “Since our founding in 2013, the rise of disruptive technologies has created interesting opportunities for Grayscale investors.
The launch of the Grayscale Decentralized AI Fund offers investors the opportunity to invest in the early stages of decentralized AI. In this way, they can gain early access to pioneering technologies that shape the future of artificial intelligence.”
Sharif-Askary states that the principles of decentralization, accessibility and transparency offered by blockchain-based artificial intelligence protocols can play an important role in reducing the risks associated with the proliferation of artificial intelligence. These protocols provide an infrastructure that can contribute to the prevention of problems such as deep fakes, misinformation and bot authentication.
Grayscale Decentralized AI Fund focuses its investments in three main areas:
Decentralized Artificial Intelligence Services: This field covers the decentralized development and delivery of services such as chat robots, artificial image and sound creation systems. These services provide a more democratic use by eliminating the control of a single company, which is often seen in traditional artificial intelligence applications.
Centralized Artificial Intelligence Issues: The fund invests in projects that address issues such as deep fakes, misinformation and bot authentication with the decentralized structure of artificial intelligence. These projects develop solutions for the ethical and reliable use of artificial intelligence.
Artificial Intelligence Infrastructure: This area includes investment in the infrastructure services required for the operation of artificial intelligence, such as GPU computing, data storage and decentralized marketplaces. This infrastructure, created using blockchain technology, allows artificial intelligence services to be used by a wider audience by eliminating access barriers created by the centralized structure seen in traditional artificial intelligence applications.
Traditional artificial intelligence applications are generally under the control of large companies. This situation brings various limitations both in terms of the development of artificial intelligence and its areas of use.
Decentralized AI aims to distribute ownership and control of artificial intelligence services using blockchain technology, thus creating a more accessible, transparent and reliable artificial intelligence ecosystem.
Grayscale Decentralized AI Fund is open only to accredited investors. However, this fund opens a new door for investors who want to invest in the future of artificial intelligence. Developments in the field of decentralized AI can pave the way for a more democratic and reliable use of artificial intelligence. The success of this fund could significantly impact the future of decentralized AI and our perspective on traditional AI applications.