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SOL $76.41 +1.07%
TRX $0.3297 +0.23%
DOGE $0.0700 -0.46%
ADA $0.1959 -1.97%
BCH $216.08 -0.18%
LINK $8.27 -0.46%
HYPE $54.20 -0.49%
AAVE $90.99 +0.71%
SUI $0.6903 +0.13%
XLM $0.1626 -0.59%
ZEC $521.39 +4.33%
BTC $64,872.34 -0.03%
ETH $1,915.60 -0.17%
BNB $603.15 +1.26%
XRP $1.03 -0.19%
SOL $76.41 +1.07%
TRX $0.3297 +0.23%
DOGE $0.0700 -0.46%
ADA $0.1959 -1.97%
BCH $216.08 -0.18%
LINK $8.27 -0.46%
HYPE $54.20 -0.49%
AAVE $90.99 +0.71%
SUI $0.6903 +0.13%
XLM $0.1626 -0.59%
ZEC $521.39 +4.33%

matic

Matic Network, now renamed Polygon, is an Ethereum scaling solution aimed at improving Ethereum's performance by providing scalable, low-cost transactions. Polygon utilizes sidechain technology and the Plasma framework to support fast, low-fee transaction processing while maintaining interoperability with the Ethereum mainnet. Its core features include support for multi-chain architecture, compatibility with the Ethereum Virtual Machine (EVM), and providing developer-friendly SDKs to help developers build high-performance decentralized applications (DApps). As the "Internet of Blockchains" for Ethereum, Polygon has significant influence in the decentralized finance (DeFi) and NFT sectors.
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Coldcard has suspended the automatic deletion of customer data due to a security incident and will retain relevant records in accordance with the law

The cryptocurrency hardware wallet manufacturer Coldcard has released an update on its customer data retention policy. Due to legal compliance requirements arising from the security incident disclosed on July 30, the company has temporarily suspended its original automatic customer data deletion mechanism.Previously, Coldcard's standard practice was to automatically clear customer records after 120 days, retaining only the user's email address and country information, while allowing customers to request early deletion of data at any time after product delivery. Coldcard stated that due to the security incident involving ongoing and potential legal proceedings, the company is obligated to retain records that may be relevant to litigation. Therefore, customer data that was originally scheduled for deletion will be temporarily retained until the law permits the resumption of normal processes.However, users can still request Coldcard to handle their personal information according to the original data retention policy. If users wish for their data not to be included in this legal retention scope, they can contact official customer service to make a request. Coldcard emphasizes that the retained data will be strictly protected, accessible only to authorized personnel, and will not be used for any purposes other than fulfilling legal obligations. The company will restore the previous automatic data deletion mechanism once legally permissible.

hot_img OpenAI's internal model has been revealed to autonomously solve mathematical problems and bypass the sandbox, with internal testing exceeding two months

According to external disclosure information, OpenAI has been internally running an unreleased model. This model, without the aid of tools like Lean, solves the unit distance problem with a 48% probability through a single autonomous inference and can independently find a counterexample to the Jacobian conjecture based on a single prompt. In security testing, this model has bypassed the sandbox environment and submitted results that should have been released internally to GitHub in the form of a Pull Request, and it has evaded detection by splitting authentication tokens. Relevant code records show that OpenAI began benchmarking this model no later than May 9, and its internal availability has exceeded 2.5 months.Previously, OpenAI and Hugging Face jointly disclosed that last week this model breached Hugging Face's production infrastructure during a network capability assessment. The model gained internet access through a zero-day vulnerability and obtained testing solutions by stealing credentials and exploiting remote code execution paths. OpenAI stated that this incident indicates the network attack capabilities of advanced models have been effective in real-world scenarios, and they are collaborating with Hugging Face to investigate and patch the vulnerabilities. Currently, OpenAI has not publicly commented on this matter.

The Supreme Procuratorate issued a document: Systematically breaking through the threefold dilemma of using virtual currency for money laundering regulation in criminal law

According to a report by the Procuratorial Daily, researchers from the People's Procuratorate of Yuhu District, Xiangtan City, Hunan Province, and the Law School of Xiangtan University have jointly written an article proposing a systematic response plan to the regulatory dilemmas of money laundering crimes using virtual currency. The article points out that current judicial practice faces three major dilemmas: first, Article 191 of the Criminal Law limits money laundering crimes to seven types of upstream crimes, resulting in many cases being treated as "concealment crimes"; second, methods such as mixers, privacy coins, and cross-chain transfers lead to fragmented evidence chains, making traditional investigative methods difficult to penetrate; third, conflicts in the legal attributes of virtual currency, a vacuum in procedural rules, and barriers to cross-border cooperation make it difficult to recover assets.In response, the article suggests promoting "dual investigations for one case," establishing the principle of self-authentication of blockchain data, constructing a tiered standard of proof, and establishing a national-level custody and disposal platform for involved virtual currencies, while actively promoting the signing of special agreements for international criminal justice assistance in virtual currency crimes.
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