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docs: Update README.md #324

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4 changes: 2 additions & 2 deletions crates/proof-of-sql/README.md
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Proof of SQL is a high performance zero knowledge (ZK) prover developed by the [Space and Time](https://www.spaceandtime.io/) team, which cryptographically guarantees SQL queries were computed accurately against untampered data. It targets online latencies while proving computations over entire chain histories, an order of magnitude faster than state-of-the art zkVMs and coprocessors.
Proof of SQL is a high-performance zero-knowledge (ZK) prover developed by the [Space and Time](https://www.spaceandtime.io/) team, which cryptographically guarantees SQL queries were computed accurately against untampered data. It targets online latencies while proving computations over entire chain histories, an order of magnitude faster than state-of-the art zkVMs and coprocessors.

As the first sub-second ZK prover, the protocol can execute analytic queries over 100k-row tables in less than a second on a single GPU (see benchmarks below). It can aggregate over millions of rows of indexed data within Ethereum block time on a single NVIDIA T4. The protocol is designed to support both onchain and offchain verification, leveraging a novel commitment scheme which significantly lowers gas fees with onchain verification.
As the first sub-second ZK coprocessor, the protocol can execute analytic queries over 200k-row tables in less than a second on a single GPU (see benchmarks below). It can aggregate over millions of rows of indexed data within Ethereum block time on a single NVIDIA T4. The protocol is designed to support both onchain and offchain verification, leveraging a novel commitment scheme which significantly lowers gas fees with onchain verification.

Using Proof of SQL, developers can compute over both onchain and offchain datasets in a trustless manner, proving the result back to their smart contract (or offchain verifier) just-in-time during a transaction to power more sophisticated DeFi protocols with data-driven contracts. Proof of SQL can be integrated into any SQL database (such as [Google BigQuery](https://cloud.google.com/blog/topics/partners/how-space-and-times-proof-of-sql-integrates-with-bigquery)), centralized or decentralized, and is already securing some of the most prominent Web3 apps, financial institutions, and enterprises.

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