small proof read edits after cmd+replace

sertn-whitepaper.tex

@@ -210,7 +210,7 @@ \subsubsection{ZKML}
 
 \section{Sertn}
 
-Zero-Knowledge Layer (Sertn) offers a transformative approach for AI operators seeking to transition their off-chain AI models onto blockchain networks while safeguarding their proprietary algorithms. This framework streamlines the intricate process of model conversion, enabling rapid deployment across multiple blockchain ecosystems. It serves as a seamless bridge between the off-chain world of AI and the on-chain realm, ensuring intellectual property remains veiled through the use of zero-knowledge cryptography. By providing a secure and efficient payment infrastructure, Sertn facilitates atomic value exchange for AI services, paving the way for a new era of autonomous AI agents interacting within the blockchain space.
+Sertn offers a transformative approach for AI operators seeking to transition their off-chain AI models onto blockchain networks while safeguarding their proprietary algorithms. This framework streamlines the intricate process of model conversion, enabling rapid deployment across multiple blockchain ecosystems. It serves as a seamless bridge between the off-chain world of AI and the on-chain realm, ensuring intellectual property remains veiled through the use of zero-knowledge cryptography. By providing a secure and efficient payment infrastructure, Sertn facilitates atomic value exchange for AI services, paving the way for a new era of autonomous AI agents interacting within the blockchain space.
 
 For consumers of AI predictions, Sertn offers an additional layer of assurance by eliminating trust assumptions. They confidently rely on the network to validate that the inputs are processed using the correct and intended AI model, with a cryptographic guarantee of faithful execution.  As a result, consumers of AI services benefit from a transparent, trust-minimized environment where AI predictions are verified, reducing the need for blind trust in the operators' execution.
 
@@ -677,7 +677,7 @@ \subsection{Potential Usages of Sertn}
 In the future, as AI models increasingly handle decision-making and various tasks, responsible AI will become even more critical than it is today. Simultaneously, with a shift towards decentralization, most communications and transactions are expected to occur on Web3. In such an environment, Sertn will play a vital role by enabling AI model operators to broadcast proofs of honesty on Web3 without compromising the confidentiality of their model details.
 
 \section{Conclusion}
-The Zero-Knowledge Layer (Sertn) presents a comprehensive solution to the challenges of integrating AI and blockchain technology. It provides a decentralized protocol that enables secure, off-chain AI model inferences while preserving intellectual property through zero-knowledge cryptography. This innovative approach not only enhances privacy and security but also ensures the integrity and authenticity of AI models. The Sertn architecture is designed to be modular and adaptable, supporting rapid deployment across multiple blockchain ecosystems. This work reflects a significant step towards realizing a decentralized, secure, and privacy-preserving foundation for AI-enhanced blockchain systems, potentially revolutionizing the way AI operates in the blockchain space and contributing to the broader adoption of web3 technologies.
+Sertn presents a comprehensive solution to the challenges of integrating AI and blockchain technology. It provides a decentralized protocol that enables secure, off-chain AI model inferences while preserving intellectual property through zero-knowledge cryptography. This innovative approach not only enhances privacy and security but also ensures the integrity and authenticity of AI models. The Sertn architecture is designed to be modular and adaptable, supporting rapid deployment across multiple blockchain ecosystems. This work reflects a significant step towards realizing a decentralized, secure, and privacy-preserving foundation for AI-enhanced blockchain systems, potentially revolutionizing the way AI operates in the blockchain space and contributing to the broader adoption of web3 technologies.
 
 As we progress we will maintain a strong focus on upholding these fundamental principles: