this article by @devrelius ( andrea ) explains why the DATA Foundation decided to move towards the Sui ecosystem and what actually matters behind this decision here are the key points i found interesting > since launching in june trace has recorded close to 300M data contributions and processes over 3M receipts daily > running a separate blockchain comes with costs maintaining validators rpc infrastructure security and other blockchain components takes significant engineering effort and money DATA wants to focus more on building its actual products instead > why sui walrus and seal ? because sui provides high performance execution walrus handles large scale data storage and seal enables secure access control together these tools can help support trace as its activity grows DATA wants companies to verify license and put their data to use while making its origin and usage rights easier to track the thing matters now is whether this infrastructure helps trace scale while making ai training data easier to verify and license @datafdn

these are the few things you should know after the DATA foundation x sui network partnership the DATA foundation has announced its move to sui and there are a few important things existing $DATA holders should know here's what the announcement confirmed :- > $DATA carries over 1:1 :- existing $DATA tokens will carry over one-to-one to the DATA protocol on sui > holder economics remain intact :- governance rights and tokenomics will remain at least equivalent to the current setup. locked tokens and vesting positions will carry over unchanged > DATA is moving to Sui :- the DATA network has planned an upgrade to run natively on Sui, with its existing independent chain eventually being retired the announcement confirmed that the existing DATA network will continue operating until the upgrade is complete a detailed timeline and transition plan will be shared ahead of the migration this is important because the announcement explains how existing holders and their tokens will be handled during the transition now the key thing to watch is how the migration unfolds and what improvements the DATA ecosystem actually brings once the upgrade is complete @datafdn

ai dont only need raw data but it also needs data that can actually be trusted that is the idea this video from @datafdn is trying to show imagine someone contributes a voice recording here is what needs to happen next :- - the source of the recording should be traceable - access should be controlled instead of leaving the file open to everyone - the original data should remain securely stored - processing should happen in a protected environment - contributors should have a way to benefit when their data is used this is where tools like trace, seal, walrus and nautilus come into the picture each handling a different part of the process the bigger idea is giving ai companies a way to work with data while making its origin access and usage easier to track of course the tech alone can not guarantee - data quality - valid permissions - or payments those depend on how the system is implemented and adopted but if this approach works at scale contributing data to ai could become a more transparent process for everyone involved @datafdn

the DATA Foundation has finally joined sui network and here is why this matters for the ai industry as we know ai models need good quality data to become better but collecting data is only one part of the problem there are a few things that matter here :- - where the data comes from - whether contributors gave permission for it to be used - whether the usage rights can be verified - how the original data is stored and protected this is where the @datafdn + @SuiNetwork + @WalrusProtocol integration gets interesting - trace ( on data ecosystem ) helps record data provenance and rights - walrus provides the decentralized storage layer - sui provides the blockchain infrastructure for handling data and licensing trace already has 250M+ receipts recorded giving this ecosystem a strong starting point if they can make this work at scale ai labs could have an easier way to source rights cleared training data while contributors get better ways to track and prove their contributions

hey @KaitoAI and the whole team what proof do you need now? there are small, mid sized, and even large accounts participating in engagement farming groups and it is becoming harder to ignore you are slowly losing the trust of genuine participants and the community i feel like kaito is sidelining its main mission of making infofi great by rewarding genuine contributors who bring real value to the ecosystem the community has always supported you but it is time to take serious action against these e4e groups please investigate these groups and permanently ban accounts that are manipulating the engagement these people are farming rewards while genuine creators are getting sidelined they contribute little to no actual value to the projects or the ecosystem yet they keep appearing on leaderboards you can clearly see the recurring patterns of the same creators showing up on the leaderboard while people putting genuine effort into quality content struggle to get recognized if this continues it could seriously damage the reputation of kaito and contribute to the downfall of infofi new infofi projects like @rarelistio are trying to address these loopholes and i hope kaito does not keep repeating the same mistakes you have a golden opportunity to listen to the community and take a strong stand against engagement farming, ai slop, and low value content i think quality should matter more than quantity some creators are simply using ai to generate and repost content daily without adding any original insights my humble suggestion is to explore ai detection tools and other detection systems that could help flag low effort repetitive or potentially manipulated content for further review ai itself not a problem but some people are using it to just produce mass low value content and farm the leaderboard the goal should be simple that reward originality genuine engagement and meaningful contributions i hope the team listens to the community and takes concrete steps to protect the people who are actually helping to build and grow infofi @Punk9277 @KaitoAI @KaitoStudio_