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What would you build on chain if gas fee , data privacy & scalability isn't an issue?
One of the major reasons why @RubixChain did not build on solidity. As a language with no adoption outside crypto, this was always going to be the case. Devs in rubix use Rust, Golang. Langs that have rich libraries & gone through multiple rounds of formal verification
The top contributors to Solidity are barely even working on it any more. Cameel is still making new issues and pushing it forward but it seems like its in maintenance mode more than anything. We need more resources for the language, esp if EOF isnt in the next protocol upgrade
Elasticity is less spoken about in Web3 but it will be key to mainstream transformation. Most chains scale by limits, not by demand. @RubixChain scales on usage : more nodes when needed, fewer when idle , maximising TPS and resource efficiency.
Q. How do millions of autonomous agents coordinate without inherent trust? A. With @RubixChain AgentOS 1. Transact p2p autonomously 2. Record every intent and action, creating an immutable trail for explainability. 3. Continuous training using verifiable data feeds.
1/n In real world systems are not uniform, they are heterogeneous. Compute stacks vary by language and h/w. Data lives in different shapes across cloud and devices. Teams ship with different SLAs. That’s not a bug; it’s the unavoidable consequence of scale and specialization
Agents are inherently peer-to-peer: they interact directly, share context and coordinate without central control. @RubixChain fits multi agents systems natively: local validations , low latency and no software scale bottlenecks.
Agents automating dApp development will favor @RubixChain Rust/Wasm over Solidity/EVM: Rust has been around for years, with a huge knowledge base and mature tooling, making automated dev safer and faster.
Decentralization underpins permissionless blockchains, but what about geography? 🌍 Our new study explores this often-overlooked dimension of crypto. (1/n)
Your health data. Your control 1. No forgery/ data leaks 2. Patient-owned, portable, provable records 3. Earn rewards for wellness Built by FINAO on @RubixChain, the @YMCA #WellnessCafe redefines digital healthcare with HIPAA compliance & tokenized public health incentives
Patients own their data. Control who can access at any time with dynamic decryption. Move from one Dr or health provider to another seamlessly with full security/privacy. The @ymca #wellnesscafe project built by Finao and Rubix provides users full control over their with HIPAA…
Verifiable Credentials are not truth. That shouldn't be a controversial statement, but it is because the core intent of verifiable credentials has been confused following our early work. [1/11]
One of OpenLedger's core missions is to bring attribution to AI Today, centralized models take your data, train on it, and give nothing back. No credit. No visibility. No share in the value With OpenLedger, that changes When you build on our protocol, every dataset and…
Decentralized training is as good as big data center based training. Let's go decentralized.
We've reached a major milestone in fully decentralized training: for the first time, we've demonstrated that a large language model can be split and trained across consumer devices connected over the internet - with no loss in speed or performance.
Identity is the missing layer in secure AI collaboration. Without it, we can’t verify who trained what, who owns what or who gets paid. Verifiable self sovereign identity is foundational for trusted #DeAI.
🧵1/ Identity is the missing piece in secure AI collaboration. MPC (multi-party computation) and MCP (multi-channel processing) are powerful tools for privacy-preserving data and model sharing. But here’s the catch: if you don’t know who you’re computing with, what’s the point?
Without upstream security, we risk untrusted learning. Without downstream monetization, we kill incentives. @TrieNetwork is building verifiable learning records and value flows so that AI stays accountable and rewarding
Huge investments are made into AI Agents and LLMs. But two key elements are missing in the focus 1. Security (upstream) 2. Monetization (downstream) Success depends on baking in both from the beginning. Both require decentralization and tokenization. #TRI @TrieNetwork
As AI agents take on real jobs, how do assess before hiring them? @TrieNetwork serves as verifiable resume , tracking every contribution, task and outcomes on chain. Transparent AI, powered by @RubixChain . Proof over promise.
@TrieNetwork @RubixChain Lets have participative capitalism through tokenization of AI rather than UBI. Everyone can gain from the riches.
@pbrody: "Every business agreement is: I have money, you have stuff, we exchange under terms." Companies need privacy about BOTH the transaction AND the agreement terms. Until Ethereum has this privacy, it can't be the bedrock of the financial system.
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