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Hyperliquid test online, stars feature, supports HIP-3 DEX address whitelist trading

The Hyperliquid testnet recently introduced a new feature called "stars." This feature introduces an optional trading address whitelist mechanism for the HIP-3 DEX, allowing deployers to restrict trading to only whitelisted addresses for opening or increasing positions. Currently, the whitelist size limit on the testnet is 10,000 addresses, while unauthorized addresses can still deposit into accounts and submit orders limited to reducing positions, in order to close or lower existing positions.Community members analyze that this feature is expected to expand the application scenarios of the HIP-3 DEX. For example, tokenized stocks, real-world assets (RWA), institutional indices, and other regulated products can open trading only to users who have completed identity verification (KYC) or meet access requirements through the address whitelist. At the same time, new markets can first open testing to market makers, partners, or community members, reducing the risk of encountering junk trading, wash trading, or malicious manipulation in the early stages of the market, while allowing non-whitelisted users to continue reducing positions, thus avoiding situations where users cannot exit their holdings due to permission restrictions.In addition, the stars feature does not change the permissionless nature of the Hyperliquid base layer but adds an optional access control feature that developers can enable or disable based on their needs. This means that scenarios such as DAOs, trading clubs, private equity funds, or partner-exclusive markets can build closed trading markets with access mechanisms while maintaining the advantages of the Hyperliquid matching engine and settlement layer. Currently, this feature is still in the testnet phase, and the official has not yet announced its specific uses; further application scenarios await confirmation with the mainnet launch and more developer documentation.

hot_img Changxin Technology was listed on the Sci-Tech Innovation Board on July 27, with a valuation of approximately 580 billion yuan. The entire supply chain, including equipment, materials, and packaging testing, may benefit

Domestic DRAM storage IDM leader Changxin Technology will officially list on the Sci-Tech Innovation Board on July 27, with an issuance valuation of approximately 580 billion yuan and a total fundraising amount of 29.5 billion yuan, of which about 22.066 billion yuan is for equipment purchase and installation costs. Industry insiders believe that 2026-2027 is the golden window period for the introduction of domestic equipment.In terms of the supply chain, on the equipment side, North Huachuang has shipped a large volume of various categories such as etching and thin film deposition, Zhongwei Company continues to validate and mass-produce etching and thin film equipment, Huahai Qingshi CMP equipment has entered the core supply chain, and Jingce Electronics and Jingzhida testing equipment are benefiting simultaneously. On the materials side, Yake Technology precursor products cover advanced process needs, Guanggang Gas provides special gases and bulk gases, Jinhong Gas has a gas production order cycle of 15 years, Tongcheng New Materials ArF/KrF photoresists have entered mass production, Jingrui Electric Materials has a market share of over 40% in high-purity hydrogen peroxide, but high-end photoresists are still in the validation stage, and Debang Technology is in the sample testing stage. On the packaging and module side, Huatian Technology is a packaging supplier, Jiangbolong and Demingli have reached procurement agreements, while Maijie Technology is still in the introduction phase. On the distribution side, Shangluo Electronics has been authorized, and there are expectations for supply strategy adjustments after listing. Several listed companies hold shares indirectly through industrial funds, with Shangfeng Cement holding approximately 0.1517% of the equity before issuance.

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.
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