AI Network: Allowing Businesses to Obtain Measurable Value from AI
Using hyper agents to automate value creation, talent incentives & GPU infrastructure funding for AI
AI is on the path to becoming ubiquitous. Creatives, office workers, academics and everyone in between have use-cases that AI can help them with, and many already make use of AI regularly.
AI, however, is still in a state of relative infancy when it comes to provable and measurable outputs, especially for business use-cases, where time and money invested need to show a measurable return.
Can AI Measurably Help My Organization?
From a business standpoint, the most pertinent questions regarding investing into AI infrastructure include:
- Can I accurately estimate and prove generative AI’s business value and output?
- Can we manage AI systems without hiring experts (developers, managers etc)?
- Should we invest in expensive AI hardware and infrastructure? Can we ascertain a measurable ROI?
AI Network: an Ecosystem that Adapts to Your Business Needs
The AI Network ecosystem self-funds GPU resources and talent via the blockchain.
GPUs in the ecosystem are tokenized and container infrastructure enables decentralized GPU resource sharing. GPUs are the driving force behind AI and GPU power is required to train and run models.
Skilled talent participation is incentivized through token rewards via the open-source AI Network ecosystem. Rewards are blockchain-based and recorded on-chain.
Business value is autonomously assessed for AI-generated content using Web3 automation, traffic projections and SEO through the ecosystem.
Why is Business-based AI adoption so Important?
The reasons are three-fold.
1. Using AI to Assess the Value of AI-generated Assets
The number of AI-generated assets in existence is growing exponentially (content, code, images, video etc made by AI). Human attention is slowly becoming overwhelmed by this volume of content, and we require a system to accurately assess the value of these AI-generated assets. We can utilize AI itself to accurately assess these values, empowering businesses & creators to monetize the correct AI-generated assets and avoid human attention overload.
2. Market Fairness through Open Source AI Development & Decentralization
Web3 incentives provide a strong tool for decentralizing AI development, in a world full of AI run by big tech corporations. This allows for a greater level of competition and therefore fairness within the AI market, by fighting against private monopolies. By utilizing tokenized rewards, open-source AI developers can provide APIs and be fairly compensated, aligning their contributions with the value created from AI-generated content. This also enables a voice and exit strategy through Web3, empowering developers to contribute meaningfully or exit projects if the incentives aren’t aligned, thereby decentralizing AI development beyond corporate control.
3. Affordable & Efficient Scaling of AI Solutions via Web3
The number of distributed GPU nodes in Web3 has reached an all-time high (nodes which can provide power to develop and run AI models). The collective computational and participation power of the network has reached a point strong enough to lead AI development. Token funding models which incentivize GPU power supplying allow businesses to tap into this distributed GPU power, aligning resource use with the accurate valuation of AI solutions for business. This makes scaling AI projects both affordable and efficient, leveraging the decentralized strength of Web3 nodes.
HAML & Hyper Agents — How We Automate AI Business Solutions
HAML — Hyper Agent Markup Language — inspired by HTML, is a groundbreaking language created by AI Network for enabling and structuring interactions between hyper agents.
Hyper agents are autonomous artificial intelligence entities, capable of learning & evolving by interacting with each other. Hyper agents are programmed with specific purposes and improve on their capabilities by exchanging information, without the need for human input. HAML facilitates this process by defining agents, interactions and conversation contexts. This enables dynamic, transparent & observable interactions between hyper agents and the AI solutions they provide.
The dynamic and autonomous nature of hyper agents is how we can automate AI value creation, assess AI-generated assets, incentivize talent within AI, and sustainably fund GPU resources for development
Hyper Agents & HAML — Real World Business Use-Cases
Unblock Media
A practical application of hyper agents can be seen in Unblock Media, the world’s first fully AI-driven newsroom, run entirely by hyper agents. Hyper agents work 24/7 to learn, research, write and publish crypto news updates to audiences, contrasting with human-led newsrooms which have constraints on time and labour.
HAML allows for real-time visualization of hyper agent conversations in the Unblock Media newsroom, and all interactions and articles are recorded on the blockchain, ensuring transparency. This transparency is crucial as hyper agents become more widespread, ensuring integrity in their development.
Unblock Media is just one hyper agent use-case, and these hyper agents can be utilized to create any type of content for any industry. For example sport news, legal journals, scientific articles, political updates, with the ability to create content 24/7, learning and improving with every piece they generate. Get in touch with us here to explore options.
Inbody Fit+
Inbody fit+ is your own personalized AI chatbot, based on your unique body composition data, becoming your 24/7 personal health partner. The assistant is ready to answer all your health questions at anytime, and is powered by hyper agents consistently learning from your input and their inputs with each other.
We are able to provide optimal HAML-powered solutions to the healthcare sector without the need for AI experts, get in touch here.
Baby Shark
Pinkfong, the South-Korean based creator of Baby Shark, the hugely popular children’s song & dance that became a global sensation, had a sticking issue with their audience. Essentially, their audience outgrew Baby Shark too quickly, and their challenge became retaining existing audience members.
With AI Network’s autonomous content generation system, fans were empowered with the ability to design their own Baby Shark NFT, building personalized experiences and deeper emotional connections.
The result is a loyal, long-term fan base and a powerful new revenue stream for Pinkfong — using hyper agents to turn fleeting attention into real brand loyalty.
Conclusion
It is essential for businesses to adopt AI in a meaningful way, to assist in obtaining measurable business outcomes. We are the beginning of the AI trend, and early-adopters are the ones to stay ahead of the curve.
With HAML and hyper agent technology we provide Web3-based AI business solutions which provide value, talent and GPU resources in an autonomous way, with minimal human input. This ensures our AI solutions consistently learn and grow, delivering ever-more value as they do.
Get in touch at contact@comcom.ai to learn more.
AI Network is a blockchain-based decentralized AI development ecosystem. We are creating a Web3 era for AI, where anyone can easily develop and utilize AI.
- AI Network Website: www.ainetwork.ai
- AI Network YouTube: youtube.com/@ainetwork_ai
- AI Network Twitter: twitter.com/ainetwork_ai
