A new content creator has arrived @SpaceandTime —join now! You’re expected to earn 115U.
Same as the previous task, there are 2 tracks.
Track 1: Write a short post and trade more than 20U to share 40,000U equally, around 15U per person.
Track 2: Trade this token (spot or futures). If you make a profit, you’ll have a chance to rank in the top 100, earning around 100U per person.
Next, let’s talk about this project.
$SXT How does it provide verifiable data for AI, tokenization, and DeFi?
Smart contracts can enforce rules, but they struggle to handle vast amounts of historical, cross-chain, and off-chain data. Space and Time uses Proof of SQL to turn SQL queries into verifiable results: data is processed off-chain, cryptographic commitments to data tables are recorded on-chain, and a verifier checks the query results and zero-knowledge proof. This expands the data available to contracts while reducing on-chain storage and computation. The proof can confirm that a query matches the committed data; whether the source data is authentic still depends on how it is collected and verified.
AI also needs trustworthy data. When models or agents read on-chain and off-chain information, Proof of SQL can verify the results of filtering and aggregation. The white paper also notes that data accuracy and provenance matter for AI training.
For tokenized assets, information such as dynamic prices, rules, and compliance requirements for tickets, real estate, and other assets can be stored in data tables and queried by contracts. DeFi can aggregate lending histories to generate verifiable credit scores and support differentiated interest rates. It can also combine prices and trading volumes across multiple chains to help with derivatives valuation and liquidity management.
When contracts can verify data computations, on-chain applications can safely access a wider range of information.
#sxt
Same as the previous task, there are 2 tracks.
Track 1: Write a short post and trade more than 20U to share 40,000U equally, around 15U per person.
Track 2: Trade this token (spot or futures). If you make a profit, you’ll have a chance to rank in the top 100, earning around 100U per person.
Next, let’s talk about this project.
$SXT How does it provide verifiable data for AI, tokenization, and DeFi?
Smart contracts can enforce rules, but they struggle to handle vast amounts of historical, cross-chain, and off-chain data. Space and Time uses Proof of SQL to turn SQL queries into verifiable results: data is processed off-chain, cryptographic commitments to data tables are recorded on-chain, and a verifier checks the query results and zero-knowledge proof. This expands the data available to contracts while reducing on-chain storage and computation. The proof can confirm that a query matches the committed data; whether the source data is authentic still depends on how it is collected and verified.
AI also needs trustworthy data. When models or agents read on-chain and off-chain information, Proof of SQL can verify the results of filtering and aggregation. The white paper also notes that data accuracy and provenance matter for AI training.
For tokenized assets, information such as dynamic prices, rules, and compliance requirements for tickets, real estate, and other assets can be stored in data tables and queried by contracts. DeFi can aggregate lending histories to generate verifiable credit scores and support differentiated interest rates. It can also combine prices and trading volumes across multiple chains to help with derivatives valuation and liquidity management.
When contracts can verify data computations, on-chain applications can safely access a wider range of information.
#sxt
