AI Network: Pioneering the User-Centric Web with Decentralized AI
Envisioning a user-centric web, one that values collaboration & distribution of AI resources & rewards
Artificial intelligence is transforming the ways in which we work, learn and use the web. This rate of transformation is rapidly accelerating, with the future of not only AI but also the internet itself becoming increasingly decided by big tech companies, rather than by its users.
To address this issue, AI Network has emerged as an ecosystem dedicated to democratizing AI development and utilization. Based on the blockchain, AI Network envisions a future where anyone can easily develop, utilize, and own AI.
This fosters a collaborative environment that shifts away from traditional exploitative models of the web — models which focus on extracting user data & monetary value through ads, and instead focuses on a user-centric web, one which celebrates creativity, and is contributed to and owned by its users.
AI Network’s Vision: To Build an Autonomous Value Network
AI Network’s core mission is:
To build an autonomous value network for collaborative computing, realizing the user-centric web
This vision addresses a fundamental crossroads facing the internet today.
On one path lies the continuation of an extractive web model, where users are treated merely as consumers, and value is extracted from them primarily through advertising and data collection. On the other path is a transformative approach that fosters a value network for collaborative computing.
In the latter model, users are seen as a source of creativity, actively sharing their skills & ideas and becoming valued creators whose contributions are recognized and verifiably owned through the blockchain. This is the user-centric web.
AI Network is committed to bringing this vision to life. By leveraging blockchain technology, we aim to create an ecosystem where collaboration is incentivized, and the value generated is equitably shared. This is the autonomous value network.
This approach not only enhances user engagement but also ensures that the development and deployment of AI technologies are more inclusive and accessible.
The Bootstrapping Problem: Overcoming Challenges in AI Adoption
The general bootstrapping problem refers to the challenge of developing a system, process, or business without the necessary resources, support, or initial conditions typically required for its inception, like building a business from the ground-up without any outside funding or support.
In the context of AI, the bootstrapping problem pertains to the difficulties organizations or individuals face when adopting AI technologies without sufficient initial resources, expertise, or proven frameworks.
The adoption of AI technologies presents significant challenges for businesses and organizations.
The Challenges:
- The primary concern regarding adoption of AI for business is in determining whether the AI will genuinely benefit the organization. According to research by Gartner, the biggest challenge in adopting generative AI is estimating and proving its business value. Many organizations struggle to justify the investment required for AI initiatives due to uncertainties about the ROI and the tangible benefits that AI can bring.
- The second hurdle is whether AI can be managed without specialized expertise. Gartner’s research highlighted that finding the right talent is the second biggest challenge in AI adoption, with 41% of respondents citing it as a significant concern. The scarcity of skilled AI professionals makes it difficult for organizations to build and maintain AI capabilities internally.
- The third issue is the almost astronomical cost of AI hardware, particularly GPUs (Graphics Processing Units), which poses a significant financial challenge. Sequoia Capital noted that high current spending on GPU resources is potentially unsustainable, especially for startups and smaller organizations that lack substantial capital reserves.
The AI Network Solution: A web that adapts to user values and self-funds GPUs & talent.
AI Network addresses these challenges through a multifaceted approach which leverages the strengths of blockchain and decentralization.
Firstly, by creating a web that adapts to user values and self-funds GPUs and talent, AI Network mitigates concerns about AI’s business value. The platform employs web-based value assessment for AI-generated content using Web3 automation, traffic projections, and search engine optimization (SEO). This means that the value of AI is identified and optimized autonomously, reducing the need for businesses to invest heavily without guaranteed returns.
Secondly, AI Network eliminates the need for organizations to manage AI without experts by incentivizing skilled talent participation via token rewards. By rewarding contributions in $AIN token, the platform attracts a global pool of AI professionals motivated to contribute their expertise. This decentralized approach to talent acquisition ensures organizations can access the skills and manpower they need, bypassing traditional hiring challenges.
Lastly, the platform addresses the issue of expensive AI hardware by utilizing tokenized GPUs infrastructure, enabling decentralized resource sharing. This model allows for the sustainable funding and utilization of GPUs, as resources are shared across the network rather than being owned and maintained by individual organizations. It democratizes access to high-performance computing power, making it feasible for startups and smaller entities to engage in AI development.
$AIN Token: Fuelling the Ecosystem
Central to AI Network’s ecosystem and all its solutions is $AIN token, AI Network’s native cryptocurrency. $AIN mediates all interactions within the platform, and is not only a medium of exchange but also a mechanism for rewarding contributions and incentivizing participation.
By integrating the token into various aspects of the ecosystem, AI Network ensures value is distributed fairly among participants, aligning incentives with the platform’s collaborative ethos.
$AIN is tradable on several exchanges, including Bitget, MEXC, Lbank, Gopax, Uniswap and AIN Wallet.
Conclusion
AI Network stand at the forefront of a paradigm shift in how AI technologies are developed, deployed and utilized.
By building an autonomous value network on the blockchain, we envisage a user-centric web that values collaboration and equitable distribution of resources and rewards. By addressing the key challenges in AI adoption, AI Network aim to make AI more accessible and sustainable for users and businesses.
If you think you can benefit from our solutions, get in touch:
- AI Network Website: www.ainetwork.ai
- AI Network DAO Discord: discord.com/invite/aindao
- AI Network YouTube: youtube.com/@ainetwork_ai
- AI Network Telegram: t.me/ainetwork_kr
- AI Network Twitter: twitter.com/ainetwork_ai
