Space and Time Launches Proof of SQL to Boost ZK-Proven Query Results


Space and Time’s Proof of SQL aims to inject a new layer of credibility into the data sources used for training LLMs.

In an era where decentralized technologies are reshaping industries and empowering innovation, Space and Time, a Web 3.0 startup, has emerged as a pioneering force in the field of decentralized data solutions.

Per a Press Release shared with Coinspeaker, Space and Time unveiled its groundbreaking initiative, Proof of SQL as it plans to herald a new era for data integrity and security, particularly in the realm of zero-knowledge (ZK) proof query results.

With its potential to revolutionize smart contracts, empower enterprises, and enhance the capabilities of Large Language Models (LLM), Proof of SQL is designed to use SNARK cryptography Proof of Query in the protocol’s network. The Proof of SQL is a testament to Space and Time’s commitment to pushing the boundaries of what decentralized data can achieve.

Importance of Space and Time’s Proof of SQL Initiative

The world of Decentralized Applications (DApps) has long grappled with the challenge of ensuring trust and verifiability in the interactions between parties. Also, smart contracts, a cornerstone of decentralized technologies, rely heavily on accurate and tamper-proof data to execute their predefined actions.

However, Space and Time’s Proof of SQL seeks to bolster the reliability of decentralized solutions by introducing an innovative approach to query result verifications. By harnessing the power of zk proofs, Proof of SQL enables smart contracts to verify the accuracy of query outcomes without exposing the underlying data.

Interestingly, this breakthrough not only enhances the security of smart contract operations but also paves the way for a more transparent and efficient decentralized ecosystem.

Also, by providing a mechanism for zk-proven query results, enterprises can access critical information securely, confident in its authenticity, without revealing sensitive details. This advancement could potentially revolutionize data-sharing practices, enabling collaborations and partnerships that were previously hindered by privacy concerns.

Furthermore, Large Language models, exemplified by the likes of ChatGPT have transformed the landscape of natural language processing and AI-driven interactions. These models, fueled by vast amounts of data, rely on accurate inputs to generate meaningful and contextually relevant outputs. However, the varsity of the data used to fine-tune and validate these models has been a subject of scrutiny.

As such, Space and Time’s Proof of SQL aims to inject a new layer of credibility into the data sources used for training LLMs. By utilizing zk-proofs to verify query results, the reliability of input data can be established without compromising privacy. Notably, this result could lead to more accurate, unbiased, and trustworthy AI models, further advancing the capabilities of language processing technologies.

Space and Time Launches Data Warehouse

Recall that in April, Space and Time announced the beta release of its data warehouse and developer suite. The launch allows developers to leverage provable computation against on-chain and off-chain data to power dApps, smart contracts, and verifiable AI models.

Meanwhile last year, the Web3.0 data warehousing platform raised a total of $20 million in a strategic funding round led by M12, the venture arm of Microsoft Corporation (NASDAQ: MSFT) with the goal to bring SQL to Web3. As it was revealed at the time, the funds were billed to be used for accelerating engineering and product development.



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Benjamin Godfrey

Benjamin Godfrey is a blockchain enthusiast and journalist who relishes writing about the real life applications of blockchain technology and innovations to drive general acceptance and worldwide integration of the emerging technology. His desire to educate people about cryptocurrencies inspires his contributions to renowned blockchain media and sites.



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