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For AI Model Users:
Yotta offers cost-effective AI hardware, reducing expenses by up to 80% compared to centralized providers like AWS. Users benefit from a user-friendly interface, composable AI building blocks, and advanced data protection and verifiability, ensuring both ease of use and security.

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Here is some teasers: 1) we are working on releasing a first batch of professional-annotated pathology data to huggingface; 2) we will release the survey report on DeSci x AI soon

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To accelerate DeSci, Codatta recently introducing its healthcare portal (https://healthcare.codatta.io) where experts can directly access pathology datasets. This pathology AI data can accurately find and mark the diseased areas and provide diagnostic suggestions, improving doctors' work efficiency and diagnostic accuracy. Healthcare companies can also utilize annotated data sets to train corresponding AI models.

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Q4) What are some practical applications of your technologies in industries like healthcare, finance, or e-commerce?

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Data is vital for AI development, yet traditional models centralize valuable data with large corporations, risking monopolies and limiting growth. Decentralization and collective intelligence are essential for advancing AI, with data decentralization as a priority. BNB Greenfield leads in this space, offering decentralized storage that improves security, reliability, and cost efficiency, laying the groundwork for high data liquidity.

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Applications = Compute + Data. Decentralized storage like BNB Greenfield is critical for enabling decentralized compute, which in turn powers decentralized applications.

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Amazing, I am a dev but I need to say, it's look like rocket science for me 😁🚀

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- Encrypted Storage: Data is stored using encryption, accessible only to those with permissions. Plans include enhancing decentralization via Trusted Execution Environments (TEE) or Multi-Party Computation (MPC).

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In Codatta, we define data into two type, x-data and y-data. X represents information about entities, in machine learning, we called features, ydata, normally labels.

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For privacy, one of our co-founders, Daniel, is an expert in the field. He previously led Meta’s engineering team in building large-scale privacy-preserving infrastructures for Ads, Transparency, and Open Research. Yotta OS incorporates advanced techniques to ensure privacy across all stages: input privacy, compute privacy, and output privacy.

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Q2) How does your project address challenges such as data ownership, privacy, and scalability in AI data processing?

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Codatta is a permission less marketplace enable anyone to launch data sourcing tasks to the community, build data for vertical AIs or DeSci projects.

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By tackling these foundational issues, Yotta aligns with BNB Chain's vision by enabling scalable, secure, and efficient decentralized infrastructure.

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We are developing Yotta OS, a decentralized operating system designed for AI workload orchestration and scheduling at planetary scale. Yotta OS significantly reduces infrastructure cost for AI model training, inference, and multi-agents while making AI infrastructure more accessible.

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Hello, Yi | Codatta and welcome to BNBChain Community!

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We still have more questions, but again guys, thank you for your valuable time 🙏🏾

Q5) What incentives exist for users, developers, and organizations to participate in your ecosystem?

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Yotta OS is already collaborating with companies in industries such as AI agents, biotech, and material science, where AI plays a pivotal role in accelerating innovation. Many of these organizations face significant challenges due to the high costs of AI infrastructure.

Yotta OS addresses this by providing a cost-effective and scalable solution for AI workloads. For example:
- Healthcare: Accelerating drug discovery and genomics research through decentralized AI compute.
- Finance: Enhancing fraud detection and risk assessment models with efficient AI processing.
- E-commerce: Powering recommendation engines and inventory optimization at reduced infrastructure costs.
By making AI infrastructure accessible and affordable, Yotta OS empowers industries to focus on innovation rather than overheads.

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BTW, build a reliable storage infra is very hard. Kudos to Greenfield team building such fundamental and dependable infra.

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Greenfield is really the essence of what Web3 is all about

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BNB Greenfield can be utilized as a prompt cache, attention cache, and for storing long contexts—all essential components for supporting emerging large language models (LLMs). By bridging decentralized storage and compute, BNB Greenfield plays a pivotal role in scaling and optimizing AI-powered applications in a decentralized ecosystem.

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Q3) In your opinion, what role does decentralized storage like BNB Greenfield play in the success of AI-powered applications?

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- Blockchain Records: A decentralized blockchain will record data ownership and circulation, enabling full traceability of data access and usage. - Adoption of Advancements: Codatta stays ready to integrate mature privacy-preserving technologies to protect data sovereignty as they become available.

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Ownership is a critical aspect of data applications and essential for unlocking data liquidity. While privacy-preserving technologies like FHE hold promise, they are not yet practical for large-scale applications. Thus, Codatta adopts a combined approach using legal frameworks and technical measures: - Legal Agreements: Ownership consensus is established through written agreements during data collection and production, ensuring all actions proceed only with prior agreement.

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Regarding data ownership, we enforce robust mechanisms to track data lineage throughout its lifecycle, ensuring proper ownership and permission controls. These features collectively establish Yotta OS as a secure, scalable, and privacy-conscious solution for AI data processing.

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Yotta OS tackles scalability through innovative solutions in communication optimization, workload decomposition, and reshaping. Leveraging years of academic research and industry best practices, we are redesigning the software stack for decentralized AI data processing to match the efficiency of centralized systems.

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Codatta is a permissionless marketplace that connects data creators with demanders, transforming curated data into digital assets on the XnY network. By supporting AI and DeSci projects, Codatta ensures contributors share in the value through a royalty model. Codatta sources high-quality data to power vertical AIs and scientific discovery, fostering collaboration within the DeSci community. Recognizing BNB Greenfield's potential for decentralized data storage, Codatta proposed using it for data label storage across domains, aligning with its focus on advancing real-world AI and DeSci applications. Deployment is planned by the end of December.

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Hello, Jessie |Codatta and welcome to BNBChain Community!

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To achieve truly decentralized infrastructure, we are addressing three critical challenges: (1) Communication: Overcoming low bandwidth and high latency in decentralized environments (2) Reliability: Managing malicious nodes and a higher failure rate compared to traditional data centers (3) Heterogeneity: Efficiently utilizing a diverse range of hardware resources.

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Let's go

Q1) Can you briefly introduce your projects and explain how they align with BNB Chain's vision for decentralized infrastructure?

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Thank you so much for the invitation! Ready

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