Recently, many public blockchains have been focusing on performance improvements, but few have truly integrated AI into their redesigns. There's a project called Bitroot that uses dynamic sharding combined with adaptive consensus algorithms for parallel processing. What’s the result? Transaction throughput reaches tens of thousands of TPS, while energy consumption is only one-tenth of the industry average. These numbers are indeed quite astonishing.

Even more interesting is their effort in smart contracts. Through AI-driven optimization, on-chain execution efficiency has been directly improved by 3 times. What does this mean for high-concurrency scenarios like DeFi and NFTs? It means a qualitative leap in user experience and cost reduction.

The long-standing challenge of cross-chain interoperability has been addressed by Bitroot through a neural network bridging protocol, enabling atomic swaps between heterogeneous chains to respond within milliseconds. In the past, cross-chain transactions were painfully slow; now, this speed can truly break down data silos.

In short, when the underlying blockchain starts to incorporate AI for optimization—whether in compute resource scheduling or contract execution—the entire system’s efficiency will soar. This is the prerequisite for large-scale Web3 applications.