We are honored to work with the veterans at Holo to build new products and solutions, to bring a new wave of real world adoption to web3. Join us to make it easy for everyone to build on web3 as the world begins to adopt the decentralization of apps!

@FogoChain Congrads on your white paper and site launch!

Hello from Davos! This year there are a lot of web3 investors and focus here. The global community is much more open and bullish on blockchain solutions solving REAL PROBLEMS and providing utility. If you are here we would love to see you drop us a PM or reply below. 👇

With $IAI, you don't just use AI; you 👨‍💻👩‍💻 own it! Dive into our decentralized AI ecosystem where your contributions shape the future. 🌟🚀

Join our team at Davos for fun events or just to say hi to our crew! If you’re going, Davos presents a great opportunity to meet future leaders in web3 and make long lasting connections together. If you are going send us a PM and we look forward to seeing you there.

AI Agents execute decisions for us rather than just advising us. It’s critical that they are accurate, and transparent in their decision making. Using our on-chain data platform for AI our agents are able to provide accuracy and real citations rather than making them up.

Hello AI enthusiasts and builders. Share with us your favourite agent use cases we can bring transparency into. With our solutions you’re able to easily train your data sets on web2 and web3 while helping guide your agents natively with on-chain data.

We are working with @SoloDePIN to make AI accessible to everyone! Join us now🫶

We give your AI agents and models transparency into how it’s making the decisions it’s making. No longer are you held hostage to outputs based on hallucinations but rather we get to direct it towards the desired result. Join our on-chain AI platform to build the next generation.

@Sophia541727639 With our test partners we have improved caselaw citations so it doesn’t make up data but gives raw actual citations of real cases for each state in question!

@MANDELA_BTC Prior to training we check for bias detection, personal identifiable information, and other types of info that could cause it to be non compliant. Thus our current offering focuses first on compliance to ensure those are met and the data is clean for training.

Thank you for asking. All data is tracked like bitcoin tracks transactions. No fake data can be added which wasn’t trained and no data which was trained can be omitted. Before training all data goes through Personal Identifiable Information scanning. You’re able to query GDPR requests and setup guardrails to ensure it is never released if you did accidentally train on it, omitting the need to rollback training runs.

@favour57577 Absolutely. The unchain data is a verification of the off chain data so it cannot be anything different than what it was during write and with the metadata being on chain it is guaranteed on multiple layers. It scales linearly to be fast in terms of performance and size!

@oloye145 The on chain data has just enough not to divulge information outside of metadata to ensure nothing changed through multiple checksums while the data itself has multiple levels of protection from being modified which is stored off chain with additional privacy and security!

Even lawyers are falling prey to fake citations and case law with AI generated responses today. With our vetted approach to data generation and training using on-chain data you can get direct citations and sources! Join us to build the next level of usable AI together.

According to @satyanadella AI agents will replace all software. We will start with making software development much easier for the average person as our partners at @KoiiFoundation are doing. Self driving cars are already agents in effect. @MercedesBenz has stated if the AI needs to pick if pedestrians or the driver has to die in a car crash it will pick the pedestrians so agents will decide and already decide if we live or die. We use web3 to make the decision making and data transparent through on chain data so everyone knows why it made the decisions. We have a working testnet with @movementlabsxyz for a demo of private on chain data but this very short video I posted earlier goes deeper into the importance of this topic:

Let’s remove the risk of infecting your data models with dirty data. Our solutions will help you verify you don’t have sensitive or private data before you train your data models without you having to be the janitor. This helps you and your users stay safe, compliant, and happy.

As we enter the new year together we face headwinds and opportunities. Join us in making this new year the year we make AI transparent, secure, and accessible to everyone including YOU, the reader. It is up to us to build this bright future together. Let’s secure a happy 2025. :)

Let’s talk about decentralization and early pre Bitcoin pioneers like @NickSzabo4’s ground breaking paper “Trusted Third Parties Are Security Holes”. Nick understood the Oracle problem before it was a word the crypto lexicon. Join our founder for a beginner friendly discussion on decentralization, oracles, transparency in AI, and building the next phase of decentralized oracles following the footsteps of our early pioneers in this video.