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BTC $71,476.64 -2.86%
ETH $2,000.68 +0.02%
BNB $699.40 -1.43%
XRP $1.30 -2.43%
SOL $81.00 -0.85%
TRX $0.3433 -1.77%
DOGE $0.1004 +0.93%
ADA $0.2304 -1.19%
BCH $292.47 -2.93%
LINK $9.06 -0.04%
HYPE $72.97 +5.34%
AAVE $80.29 -1.56%
SUI $0.8764 -0.30%
XLM $0.2474 +0.92%
ZEC $559.98 +2.58%

migration

BSC releases a report on quantum-resistant cryptography migration: transaction signatures have switched to ML-DSA-44, TPS testing has decreased by about 40%-50%

On May 14, BNB Chain released the "BSC Post-Quantum Cryptography Migration Report," stating that it has completed the migration testing for quantum-resistant cryptography for transaction signatures and the consensus layer, using the NIST standardized post-quantum signature algorithm ML-DSA-44 (Dilithium) and the pqSTARK aggregation scheme.The report shows that BSC has replaced transaction signatures from ECDSA to ML-DSA-44 and switched consensus voting aggregation from BLS12-381 to pqSTARK to address the potential threats posed by future quantum computing to the existing elliptic curve cryptography system. However, post-quantum signatures also significantly increase the on-chain data volume: the size of a single transaction has increased from about 110 bytes to approximately 2.5KB; the block size in a 2000 TPS scenario has increased from about 130KB to around 2MB; and the TPS in the testing environment has decreased by about 40%-50%.BSC stated that the current network bottleneck mainly comes from the larger transaction data propagation, rather than the consensus protocol itself. Meanwhile, the consensus layer aggregation still maintains high efficiency, with pqSTARK achieving a signature compression ratio of about 43:1, and the additional burden on validators remains within a controllable range. The report concludes that existing technology can achieve "quantum-resistant" deployment for blockchain, but future issues related to network bandwidth and data scalability still need to be addressed.

Solana releases quantum roadmap: selects Falcon solution, existing migration work is ready

Solana's official article on the potential impact of quantum computing on blockchain reiterates that the quantum threat is still years away, but the Solana ecosystem has already conducted thorough research and technical preparations in advance.The independent verification client development teams Anza and Firedancer (which together represent a large portion of the network's staking share) have unanimously concluded after independent research that a compact signature scheme suitable for high-throughput blockchains is needed, and they have jointly selected the Falcon scheme. Both parties have published their initial implementation code on GitHub.In addition, the Solana Winternitz Vault developed by Blueshift has been operational in the ecosystem for over two years, providing a direct quantum-resistant path. Earlier this year, Google Quantum AI listed this Vault as a leading example of forward-looking post-quantum work in its white paper.Solana's current quantum roadmap includes ongoing quantum research and evaluation of Falcon and alternative solutions; adopting post-quantum solutions for new wallets when quantum becomes a credible threat; and migrating existing wallets to the selected solution. The official statement indicates that the migration work is manageable and can be completed quickly when the time comes, with network performance expected to remain largely unaffected.

Anthropic has been reported to launch a "migration prompt" tool, directly targeting OpenAI's memory barriers

Anthropic is accused of launching a prompt tool for "exporting ChatGPT memory data," helping users transfer historical memory information to its model Claude, which has drawn industry attention.According to public content, the tool allows users to export their memory data from OpenAI's ChatGPT by copying and pasting specific prompts, and then import it into Claude. Related discussions suggest that this move is seen as directly weakening the user stickiness and switching costs that ChatGPT relies on through its "memory function."Market views consider the memory mechanism as an important moat for large model products— the longer users engage, the deeper the model understands their preferences, context, and historical conversations, thereby increasing the migration costs. If third-party tools can facilitate easy data migration, it may change the current user lock-in logic of AI products.Meanwhile, reports also mentioned that Anthropic was previously restricted from use by relevant systems of the U.S. Department of Defense, but the company's popularity and attention have quickly surged, topping some application rankings.Currently, the specific compliance of the aforementioned tool and the platform's response have not been clarified. The industry generally believes that competition among large models has extended from performance comparisons to ecological and data sovereignty aspects, with user data portability potentially becoming a key variable in the next stage.
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