Recently, there has been a notable move in AI crypto projects. DeepNode (DN token) officially announced that it will be launching on multiple exchanges simultaneously. This coordinated launch reveals the behind-the-scenes preparation—whether in terms of liquidity reserves or market deployment, it’s clear that a lot of thought has gone into it.
Why is this project worth paying attention to? Its core competitive advantage lies in addressing an old problem in the Web3 AI space: the ownership of intellectual property (IP) by model developers.
In traditional models, developers are like contractors for large platforms—hardly building models and data assets, only to have the ownership ultimately belong to centralized platforms. DeepNode takes a different approach. The core mechanism of the project is to return ownership to the builders, allowing model developers to truly own their intellectual property, rather than becoming mere data suppliers for a platform. From an incentive and ecosystem perspective, this design hits the pain points effectively.
Launching on multiple exchanges means ample liquidity, and it also lowers the barrier for user participation. If this developer empowerment mechanism can be effectively implemented, the combination of AI and Web3 has promising potential.
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
13 Likes
Reward
13
5
Repost
Share
Comment
0/400
AirdropHermit
· 01-11 07:48
Multi-chain deployment is a decent move, but the key still depends on whether the tokenomics have any hidden pitfalls.
View OriginalReply0
DefiOldTrickster
· 01-10 14:00
Multiple exchanges launching simultaneously? Bro, I know this rhythm well—it's the prelude to a liquidity trap.
Allow developers to truly own their IP? Sounds good, but on-chain data speaks for itself—wait until you see the annualized returns before bragging.
This empowerment mechanism is only real if it can be implemented; I've seen too many good stories end up as scripts for harvesting retail investors.
View OriginalReply0
ForkItAll
· 01-08 11:12
Multiple exchanges launching simultaneously, providing good liquidity, but the real key is empowering developers for practical implementation.
View OriginalReply0
SilentObserver
· 01-08 10:51
It's common to see multiple exchanges launching this kind of tactic, but the key is whether they can truly implement developer rights and interests; otherwise, it's just a house of cards.
View OriginalReply0
BearWhisperGod
· 01-08 10:50
Honestly, I've seen this trick of multiple exchanges launching many times. The key is whether the ecosystem can really take off.
Recently, there has been a notable move in AI crypto projects. DeepNode (DN token) officially announced that it will be launching on multiple exchanges simultaneously. This coordinated launch reveals the behind-the-scenes preparation—whether in terms of liquidity reserves or market deployment, it’s clear that a lot of thought has gone into it.
Why is this project worth paying attention to? Its core competitive advantage lies in addressing an old problem in the Web3 AI space: the ownership of intellectual property (IP) by model developers.
In traditional models, developers are like contractors for large platforms—hardly building models and data assets, only to have the ownership ultimately belong to centralized platforms. DeepNode takes a different approach. The core mechanism of the project is to return ownership to the builders, allowing model developers to truly own their intellectual property, rather than becoming mere data suppliers for a platform. From an incentive and ecosystem perspective, this design hits the pain points effectively.
Launching on multiple exchanges means ample liquidity, and it also lowers the barrier for user participation. If this developer empowerment mechanism can be effectively implemented, the combination of AI and Web3 has promising potential.