As a platform dedicated to data co-creation and sharing, we have high standards for the security and usability of data throughout its processing and circulation. This is why we chose to leverage Greenfield. In the early stages, we aim to use Greenfield to provide secure backups for our high-value data. In the medium term, we plan to utilize Greenfield for real-time data management and scheduling. In the long term, we intend to adopt Greenfield as the data availability layer for our soon-to-be launched XnY network.
Читать полностью…And you already started talk about this one too...
Q7) How do you plan to expand your collaboration with BNB Greenfield and further contribute to the AI and blockchain ecosystem?
Regarding (5), I heard that Meta plans to build a nuclear plant to solve power-supply problems 😂
Читать полностью…That's a very good question. There are many emerging waves. In our narrow mind, we see a couple of them.
Читать полностью…We definitely see opp for collaboration. Embedding domain knowledge while sharing data is one of the features we aim to include and develop. :)
Читать полностью…We have more frontier aka vertical in pipeline and will roll out them in next few weeks
Читать полностью…Our principle is simple: those who contribute should receive the rewards. Within a legal and compliant framework, whether someone creates, annotates, or stores data, they will receive corresponding incentives. These incentives may vary in form depending on the agreed terms. For instance, some contributors may receive a one-time payment, while others might share in data ownership, granting them sustainable future earnings from ongoing data usage.
Читать полностью…For Infrastructure Providers:
Yotta monetizes idle hardware resources, allowing providers to tap into a global market of AI model users, maximizing the utilization and profitability of their hardware investments.
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.
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
Читать полностью…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.
Читать полностью…Q4) What are some practical applications of your technologies in industries like healthcare, finance, or e-commerce?
Читать полностью…Two more from our side guys, and we already had some spoilers 😁😆
Q8) Are there any upcoming updates or developments that you can share with us?
We aim to integrate BNB Greenfield as an alternative to centralized storage solutions like AWS S3, enhancing our decentralized infrastructure. As a serverless platform optimized for decentralized compute, we plan to attract more dApps and projects to leverage our platform for their infrastructure needs, driving growth in the AI and blockchain ecosystem.
Читать полностью…My answer: 1) ai agents, extend individual’s time and space dealing with external world, having wallet attached; 2) web3 x AI: open AI economy, people provides frontier data addressing domain scarcity issues in AI world, to unlock unlimited possibilities of vertical AI agents, which makes money for the data creators. 3) decentralized computing to reduce cost, propel DeSci (scientific research = idea + hypothesis + experiment + data sourcing), where data sourcing counts on community, simulation and robotics-automation aka AI for Science
Читать полностью…(1) multi-modality, (2) new methods to generate and process training data, (3) orchestration of AI models, (4) exploration of scaling laws in everywhere (e.g., model size, test-time compute, and quantization), and (5) energy-efficiency and production cost reduction.
Читать полностью…Q6) What do you see as the biggest trends in AI and decentralized data over the next five years?
Читать полностью…I think you are both answering this right now, but let me put one more question...
Читать полностью…Those frontiers have big tech demands and will provide fiat rewards for the data creators. Real application behind them
Читать полностью…let’s collaborate on that, Codatta, for this cohort, unlike ScaleAI, censored tasks and asking upfront cost, we do not ask any of those. AI developers can share risk with data creator, in turn of providing their AI’s revenue. We focus on sourcing frontier data which contain domain knowledge
Читать полностью…By addressing the unique needs of each participant, Yotta fosters a vibrant and mutually beneficial ecosystem.
Читать полностью…For AI Researchers and Engineers:
Yotta provides a highly customizable one-stop solution with state-of-the-art AI development toolkits. Researchers gain access to scalable infrastructure and a global pool of high-end GPUs, enabling efficient AI experimentation and deployment.
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?
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.
BTW, build a reliable storage infra is very hard. Kudos to Greenfield team building such fundamental and dependable infra.
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