A quick look at the highlights of DeepBrainChain AI public chain Space

At 20:00 on November 6, Odaily Planet Daily was honored to invite DeepBrainChain founder HE YONG to be a guest at X अंतरिक्ष , with the theme of AI public chain, promoting the decentralization of trillions of dollars; DBC AI public chain promotes the decentralization of trillions of dollars , in-depth discussion of the development of the AI public chain field.

HE YONG introduced the market background and the specific ecological progress of DeepBrainChain AI public chain in detail on Space. The highlights of his sharing are as follows:

What is the AI public chain?

Simply put, it is a public chain that can run AI models in a decentralized manner.

Must support 3 core capabilities:

1. Basic functions of the public chain: support the issuance of tokens and the development of smart contracts

2. Decentralized AI model operation: Provide a decentralized environment for the operation of AI models

3. Free GPU: Developers can obtain GPU resources by issuing tokens and starting the mining mechanism.

What are the characteristics of DeepBrainChain AI public chain? AI projects are developed based on DB. What are the benefits for DBC?

The DeepBrainChain AI public chain can provide the above three core capabilities at the same time. With more and more AI projects joining, DBC not only obtains a large amount of GPU resources and user support, but also promotes the activity of DBC टोकन. The more GPUs in the DeepBrainChain network, the more DBC Tokens are destroyed. This mechanism promotes the common prosperity of DBC and AI projects, forming a positive ecological cycle. For example, DeepLink: a decentralized AI cloud gaming protocol. 聽

Take DeepLink as an example. It launched the Orion GPU competition, which attracted GPU providers with a token reward of up to $9 million. Participants must first join the GPU to the DBC network before they can participate in the competition. This move is expected to bring more than 2,000 GPUs to DBC. DeepLink now has more than 2.6 million global users, of which more than 1.4 million users hold DBC Tokens to pay for gas fees for DLC transfers. This huge user base and active ecosystem have injected strong momentum into the development of DeepBrainChain.

What are the unique needs and pain points of the decentralized AI market compared to the traditional centralized AI market? How do these pain points drive the rapid growth of the market?

Decentralized AI is a brand new entrepreneurial track and is currently a blue ocean market. For entrepreneurs, participating in decentralized AI entrepreneurship means facing fewer competitors and it is a light-asset startup. They only need to issue tokens to develop smart contracts and AI models and formulate rules. They do not need to purchase GPU server resources themselves. GPUs are provided by miners, and users are incentivized by token rewards, which makes acquisition faster.

So now more and more entrepreneurs are beginning to realize the market for decentralized AI.

Which industries currently have an urgent need for decentralized AI solutions? How does DeepBrain Chain (DBC) position its own advantages to meet these industry needs?

Decentralized AI is the counterpart to centralized AI. Decentralized transformation can be carried out in almost all industries, and centralized AI products can be re-created in a decentralized way.

The development of decentralized AI products is very difficult and requires a very high level of teamwork, including AI scientists, blockchain experts, and distributed experts. The RD cycle is very long, and it generally takes 3-4 years to bring a product to market. This has hindered the innovation of decentralized AI.

Therefore, based on this industry situation, DeepBrain Chain (DBC) spent 7 years and 100 million US dollars to develop an AI public chain. The AI public chain can help reduce RD time and costs by 90%, greatly accelerating the arrival of decentralized AI.

Facing traditional AI cloud service providers (such as AWS and Google Cloud), what is the market positioning and core competitiveness of decentralized AI? How to attract users who need decentralization to turn to DBC?

DeepBrain Chain DBC and traditional AI cloud service providers have a strategic partnership. For example, DBC recently joined forces with Google Cloud to conduct a strategic partnership and will jointly host a conference on November 28 to promote the future of decentralized AI. This is because decentralized AI projects built on DeepBrain Chain 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, thereby bringing more benefits to centralized GPU cloud vendors. Google Cloud was the first to discover the huge opportunity in this, so it cooperated with DBC to jointly promote this market.

What size might the decentralized AI market reach in the future? How can DBC position itself to seize this rapidly growing market opportunity?

The decentralized AI market will 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 OpenAI, such as DcentralGPT, which is a decentralized large language model AI project built on the DBC AI public chain. It is developing very fast.

DBC provides technical infrastructure in this market, allowing developers to quickly develop and launch decentralized AI applications, and provides financial, technical and other support to jointly promote the development of this market.

What excellent decentralized AI projects are currently 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 is about to launch a multi-million dollar GPU competition

– AIDF: Decentralized Financial Forecasting AI Platform

– AITalk: Decentralized AI conversation platform

– SuperImage: Decentralized Image Generation AI

– DeepVideo: Decentralized video generation AI

– BioFold: A decentralized AI network for predicting biomacromolecule structures

– Hyper 3D: Decentralized 3D model generation AI

– GameNPC: Decentralized game AI NPC

– MathAI: Decentralized math teacher

– GamerGPT: Decentralized AI eSports Player

These projects have not only overturned traditional models in their respective AI fields, but the total valuation of these AI projects has now exceeded 1 billion US dollars, which shows the market potential and ecological vitality of the DeepBrainChain AI public chain.

As more and more AI projects choose to build on the DBC AI public chain, DBCs user scale and influence will grow rapidly. The DeepBrainChain AI public chain is activating a trillion-dollar decentralized AI market and leading the development of decentralized AI.

This article is sourced from the internet: A quick look at the highlights of DeepBrainChain AI public chain Space

Related: Cycle Trading: Changes in asset prices after interest rate cuts

1. The easing cycle started again after four years At 2:00 am on September 19th, Beijing time, the Federal Reserve announced a 50 basis point interest rate cut, and the target range of the federal funds rate was reduced from 5.25%-5.50% to 4.75%-5.0%, and a new round of interest rate cuts officially began. The 50 bp interest rate cut was in line with the expectations of CME interest rate futures, but exceeded the forecasts of many Wall Street investment banks. Historically, the first 50 bp interest rate cut has only occurred in economic or market emergencies, such as the technology bubble in January 2001, the financial crisis in September 2007, and the COVID-19 pandemic in March 2020. Since a 50 bp interest rate cut will make the market more worried…