On November 6th at 8 PM, Odaily Planet Daily had the honor of inviting DeepBrainChain founder HE YONG to join X Space to discuss the theme "AI Public Chain, Driving a Trillion Dollar Decentralization; DBC AI Public Chain Promoting Trillion Dollar Decentralization," delving into the development of the AI public chain field.
HE YONG provided a detailed introduction to the market background and the specific ecological progress of the DeepBrainChain AI public chain on Space, with the following highlights:
What is an AI Public Chain?
Simply put, it is a public chain that can decentralize the operation of AI models.
It must support three core capabilities:
Basic public chain functions: Support for token issuance and smart contract development.
Decentralized AI model operation: Providing a decentralized environment for the operation of AI models.
Free GPU: Developers can issue tokens to initiate a mining mechanism, thereby obtaining GPU usage resources.
What are the features of the DeepBrainChain AI Public Chain? What benefits does it offer to AI projects developed based on DBC?
The DeepBrainChain AI public chain can simultaneously provide the three core capabilities mentioned above. As more AI projects join, DBC not only gains a large amount of GPU resources and user support but also promotes the activity of DBC tokens. The more GPUs in the DeepBrainChain network, the more DBC tokens are burned, creating a mechanism that drives the mutual prosperity of DBC and AI projects, forming a positive ecological cycle. For example, DeepLink: a decentralized AI cloud gaming protocol.
Taking DeepLink as an example, its launched Orion GPU competition attracts GPU providers with token rewards of up to $9 million. Participants must first add their GPUs to the DBC network before they can participate in the competition. This initiative is expected to bring over 2,000 GPUs to DBC. DeepLink now has over 2.6 million global users, with more than 1.4 million users holding DBC tokens to pay for gas fees for DLC transfers. This vast user base and active ecosystem inject strong momentum into the development of DeepBrainChain.
What unique demands and pain points does the decentralized AI market have compared to traditional centralized AI markets? How are these pain points driving rapid market growth?
Decentralized AI is a brand new entrepreneurial track and is currently a blue ocean market. For entrepreneurs, participating in decentralized AI entrepreneurship faces less competition and is a light asset startup; it only requires issuing tokens, developing smart contracts and AI models, and setting rules without needing to purchase GPU server resources themselves. GPUs are provided by miners, and users incentivize them with token rewards, allowing for faster acquisition.
Thus, more and more entrepreneurs are beginning to recognize the market for decentralized AI.
Which industries currently have an urgent demand for decentralized AI solutions? How does DeepBrainChain DBC position its advantages to meet these industry needs?
Decentralized AI is a counterpart to centralized AI and can be decentralized in almost all industries, redoing centralized AI products in a decentralized manner.
The development difficulty of decentralized AI products is very high, requiring a strong team with AI scientists, blockchain experts, and distributed experts. The R&D cycle is very long, generally taking 3-4 years to bring a product to market. This hinders innovation in decentralized AI.
Therefore, DeepBrainChain DBC has spent 7 years and $100 million developing the AI public chain based on this industry reality. The AI public chain can help shorten R&D time and costs by 90%, significantly accelerating the arrival of decentralized AI.
What is the market positioning and core competitiveness of decentralized AI compared to traditional AI cloud service providers (such as AWS, Google Cloud)? How does DBC attract users who need decentralization?
DeepBrainChain DBC has a strategic partnership with traditional AI cloud service providers. For example, DBC recently partnered with Google Cloud for a strategic collaboration and will jointly hold a conference on November 28th to promote the future of decentralized AI. This is because decentralized AI projects built on DeepBrainChain DBC require a large amount of GPU resources, which come from the miners of these projects. However, many miners do not have GPUs; they can rent GPUs from Google Cloud, thus bringing more profits to centralized GPU cloud vendors. Google Cloud has recognized this huge opportunity and is collaborating with DBC to jointly promote this market.
What scale might the decentralized AI market reach in the future? How does DBC position itself to seize this rapidly growing market opportunity?
The decentralized AI market is expected to reach a trillion-dollar scale in the future. Every centralized AI can be reshaped through a decentralized business model. For example, OpenAI can have a decentralized version, such as DcentralGPT, which is a decentralized large language model AI project built on the DBC AI public chain and is developing rapidly.
DBC's role in this market is to provide technical infrastructure, allowing developers to quickly develop and launch decentralized AI applications, and to provide funding and technical support, among other aspects, to jointly promote the development of this market.
What excellent decentralized AI projects are currently being developed based on DBC?
Currently, many leading AI projects are thriving on the DBC AI public chain, including but not limited to:
- DecentralGPT: A decentralized AI large language model inference network, which will soon launch a GPU competition with a prize pool of $10 million.
- AIDF: A decentralized financial prediction AI platform.
- AITalk: A decentralized AI dialogue platform.
- SuperImage: A decentralized image generation AI.
- DeepVideo: A decentralized video generation AI.
- BioFold: A decentralized biological macromolecule structure prediction AI network.
- Hyper3D: A decentralized 3D model generation AI.
- GameNPC: A decentralized game AI NPC.
- MathAI: A decentralized math teacher.
- GamerGPT: A decentralized AI esports player.
These projects not only disrupt traditional models in their respective AI fields, but the total valuation of these AI projects has exceeded $1 billion, highlighting the market potential and ecological vitality of the DeepBrainChain AI public chain.
As more AI projects choose to build on the DBC AI public chain, the user base and influence of DBC will grow rapidly. The DeepBrainChain AI public chain is activating a trillion-dollar decentralized AI market, leading the development of decentralized AI.
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