Introduction Swisstronik

Swisstronik is a Layer 1 solution built on the Cosmos SDK framework. It aims to combine the benefits of the Ethereum Virtual Machine (EVM) with the underlying infrastructure provided by Cosmos SDK. This integration allows Swisstronik to offer Ethereum compatibility while providing additional features such as private EVM execution using Intel SGX.

Why Cosmos SDK?

Cosmos SDK serves as the foundation for Swisstronik, providing essential components for the consensus and networking layers of the blockchain.

• Scalability: The Cosmos SDK allows developers to optimize specific components of their blockchain application, enabling efficient handling of increasing transaction volumes without compromising performance or security.

• Interoperability: With the Cosmos SDK, developers can integrate functionalities and smart contracts across interconnected blockchains using Inter-Blockchain Communication (IBC), facilitating collaboration and expanding possibilities for decentralized applications. This feature will be implemented in Testnet 2.0.

• Security: The Cosmos SDK incorporates the battle-tested Tendermint consensus algorithm, ensuring that transactions and data on the Swisstronik blockchain are validated by a network of trusted validators.

EVM Module

Swisstronik incorporates an EVM module as its application layer, enabling developers to leverage the Ethereum Virtual Machine and seamlessly utilize tools available in the Ethereum ecosystem such as Hardhat, Solidity, EthersJS, Web3.js, etc. This compatibility ensures that you can write smart contracts and develop decentralized applications on Swisstronik using familiar tools and languages from Ethereum. It also facilitates easy migration of existing Ethereum smart contracts to Swisstronik's blockchain, promoting code reusability and streamlining development processes.

Swisstronik vs. Ethereum

While Swisstronik is generally compatible with Ethereum’s EVM along with all user and developer tooling you're already accustomed to; there are some notable enhancements:

• Enhanced Privacy:

  • Implementing EVM within Intel SGX enhances privacy by ensuring full nodes and validators cannot access detailed transaction information.

  • Contract state variables are only visible within their respective contract limits—accessible solely through public methods like external view or public view functions.

  • Transactions are end-to-end encrypted within Intel SGX Enclave ensuring confidentiality accessible exclusively by transaction sender & associated contract

• Key Differences:

  • Execution inside Intel SGX disables certain RPC methods like debug_traceTransaction since it happens inside Enclave

  • eth_getStorageAt() returns encrypted values due encryption applied at storage level

In addition to enhanced confidentiality measures mentioned above you get extra benefits including ability generate private entropy/make signatures directly On-chain

https://x.com/swisstronik

https://x.com/hassan_samimi

ps, With the help of AI , I was able to understand what this article is about😅😅

The article discusses advancements made by an intern named

during his summer internship, which led to significant improvements in the SP1 platform. These enhancements primarily involve new precompiled functions (precompiles) that optimize elliptic curve operations for two specific curves, bn254 and bls12-381.

1. What are Precompiles?

   • Precompiles are specialized functions designed to perform complex computations more efficiently than traditional methods.

   • In this context, they accelerate elliptic curve arithmetic used widely in cryptographic protocols.

2. Elliptic Curves: bn254 and bls12-381

   • bn254 is frequently used for verifying Groth16 and PlonK-KZG proofs within Ethereum's virtual machine (EVM).

   • bls12-381 is often utilized for digital signatures and various zero-knowledge proof (ZKP) protocols like those in Ethereum’s consensus mechanism.

3. Benefits of Using SP1 with New Precompiles:

   • The new precompiles significantly reduce computational overhead by minimizing the number of CPU cycles needed.

   • This results in faster verification times for cryptographic proofs and other related operations.

4. Performance Improvements:

   • For example, using these precompiles can make certain proof verifications up to 20 times faster.

   • Specific benchmarks showed dramatic reductions from billions of cycles down to millions or even thousands when using precompiled versions versus non-precompiled ones.

5. Applications Enhanced by These Improvements:

   • Verification of Groth16 & PlonK-KZG proofs

   • Fast arithmetic operations required for KZG commitments in Ethereum

   • Efficient execution verification within EVM environments

6. Real-world Implementations and Use Cases:

   • Improved performance metrics were demonstrated across several applications including Ethereum light clients, blob verifications essential for Layer 2 rollups, and general-purpose ZKP systems.

7. Conclusion:
   Users can now leverage these optimized precompiles available with SP1 v2.0.0 or v3.0.0 to achieve significant speed-ups in their programs involving elliptic curve computations.

In simpler terms:
Bhargav developed special shortcuts called "precompiles" that make certain types of math calculations much quicker on a platform called SP1 that's used heavily within blockchain technologies like Ethereum. This means tasks that involve verifying cryptographic proofs — sort of like mathematical certificates proving something was done correctly — can be done much faster now thanks to his work!

full article 👇👇

https://blog.succinct.xyz/succinctshipsprecompiles/

Bhargav x profile 👇👇

https://x.com/kean00reeve

PIN AI is a new platform for Personal AI that aims to give users privacy, ownership, and access to useful AI applications. It's built on open source AI and Ethereum, with three main layers: Personal Data, Personal AI, and External AIs. The platform addresses the challenge of providing contextual data for AI applications while preserving user privacy.

Key components include:
1. Data Connectors and Onchain Registry for tracking user data sources
2. Private Storage and Compute Layer for secure data storage
3. Agent Links and Intent Market for matching user intents with AI services

The PIN AI uses a hybrid model combining on-device processing with cloud-based computation. It focuses on privacy, personalization, and continuous learning from user data. The platform incentivizes users to connect their data and perform valuable transactions through a proof-of-engagement protocol.

The ecosystem involves users, data connectors, and agent services, with economic incentives for each participant. The goal is to create an open AI network where developers can build useful AI applications while preserving user privacy and data ownership.

- Simple definition of Pin AI function

Imagine a world where you have a personal AI assistant that knows you really well and can help you with all sorts of tasks, like shopping, planning trips, or managing your finances. This AI assistant lives on your phone or computer and keeps all your information private. When it needs help with a task, it can ask other specialized AIs for assistance without sharing your personal details.

PIN AI is trying to create this world. They're building a system where you can safely store all your personal information and connect it to your AI assistant. This assistant learns from your data to become more helpful over time. The cool part is that other people can create new AI tools that your assistant can use to help you better, all while keeping your information safe.

To encourage people to use this system, PIN AI offers rewards for connecting your data and using the platform. They're hoping that by doing this, they'll create a place where lots of helpful AI tools can be developed, making your life easier while still protecting your privacy.

RASHAD .fuel ⌘ ꧁IP꧂

@hassan_samimi

Meet @PINAI_IO

Imagine a world where you have a personal AI assistant that knows you really well and can help you with all sorts of tasks, like shopping, planning trips, or managing your finances.

@PINAI_IO
#PINAI

5

6:56 PM • Oct 1, 2024

• https://x.com/PINAI_IO

• https://x.com/hassan_samimi

Fluent is a new blockchain technology that aims to solve a key problem in the current blockchain landscape. It introduces the concept of "blended execution," which allows different types of blockchain applications (smart contracts) to work together seamlessly, even if they were originally designed for different blockchain systems.

Currently, most blockchain platforms only support one type of "virtual machine" (VM) - the environment where smart contracts run. This limitation means developers often have to choose between different blockchain ecosystems, each with its own strengths and weaknesses. Fluent aims to unify these different systems.

Fluent does this by creating a layer 2 solution for Ethereum that can run smart contracts written for different VMs, including Ethereum's own EVM, Solana's SVM, and WebAssembly (Wasm). This allows developers to use the best tools and languages for each part of their application, while still having everything work together smoothly.

The system uses special "compatibility contracts" to translate between different VMs, and ultimately compiles everything down to a modified version of WebAssembly called rWasm. This approach allows for atomic, real-time interactions between different types of smart contracts without the need for complex bridging mechanisms.

Fluent is designed to be extensible, meaning it can potentially add support for more types of VMs in the future. It also includes features to make the system efficient and secure, including optimizations for zero-knowledge proofs.

Now, let me explain this to someone with no prior knowledge:

Imagine you're trying to build a big, complex machine, but different parts of the machine are made by different companies. Each company uses its own special type of screws and bolts, so normally, you couldn't easily connect these parts together.

Fluent is like a magical toolbox that lets you connect all these different parts seamlessly, even though they weren't originally designed to work together. It's as if the toolbox could instantly transform the screws and bolts to fit perfectly, no matter which company made them.

In the world of blockchain and cryptocurrency, there are many different systems (like Bitcoin, Ethereum, Solana) that each have their own strengths. But usually, things built for one system can't easily work with things built for another system.

Fluent changes this. It creates a special platform where programs (called smart contracts) from different blockchain systems can all work together smoothly. This means that developers can pick and choose the best parts from different systems to build their applications, without worrying about compatibility issues.

This is a big deal because it could make blockchain technology much more flexible and powerful. It's like being able to use Lego bricks, K'NEX, and Meccano all in the same construction project, creating things that weren't possible before when you were limited to just one type of building block.

1. Uses compatibility contracts to represent each VM

2. Compiles all VMs down to Fluent rWasm (reduced WebAssembly)

3. Enables atomic and synchronous interactions between different VM-based contracts

4. Utilizes Journaled ZK Trie (JZKT) for efficient proving across standards

/

https://x.com/fluentxyz

https://x.com/hassan_samimi