STAMP क्या है

On August 27, Charles Guillemet, the Chief Technology Officer of hardware wallet manufacturer Ledger, stated that there has been recent 'FUD' targeting Ledger in the market, following claims from a smart contract security company that a vulnerability existed in Ledger's Ethereum application. Guillemet acknowledged that there was indeed a vulnerability related to certain Clear Signing processes in the Ledger Ethereum application, but this vulnerability was discovered and fixed by Ledger's security research team, Donjon, using AI-driven vulnerability research tools, and the fix was completed and deployed two weeks ago. Users can ensure protection by promptly updating their Ledger device firmware and applications. The related security company contacted Ledger's bug bounty program only after the fix was completed, failing to follow responsible disclosure protocols and not communicating with the bug bounty team, yet they implied in subsequent communications that the issue remained unresolved. This approach does not constitute genuine security research but rather creates panic for attention. AI is changing the landscape of cybersecurity, enabling both attackers and defenders to enhance efficiency, but AI-driven security research can only truly improve the overall ecosystem's safety when it adheres to basic security principles such as responsible disclosure and pre-release verification. Guillemet concluded by reminding Ledger users to keep their device firmware, Ledger applications, and related software up to date to automatically receive the latest security fixes and research outcomes. Users should not be influenced by the related 'FUD'; timely software updates and maintaining safe practices are sufficient.

On August 27, Charles Guillemet, CTO of hardware wallet manufacturer Ledger, stated that there has been recent 'FUD' targeting Ledger, following claims from a smart contract security company that a vulnerability was found in the Ledger Ethereum application. Guillemet acknowledged that there was indeed a vulnerability related to some Clear Signing processes in the Ledger Ethereum application, but this vulnerability was discovered by Ledger's security research team, Donjon, using AI-driven vulnerability research tools, and was fixed and deployed two weeks ago. Users can ensure protection by promptly updating their Ledger device firmware and applications. The related security company contacted Ledger's bug bounty program only after the fix was completed and did not follow responsible disclosure protocols, nor did they communicate with the bug bounty team, yet they implied in subsequent communications that the issue remained unresolved. This approach is not genuine security research but rather an attempt to create panic for attention. AI is transforming the cybersecurity landscape, allowing both attackers and defenders to enhance efficiency, but AI-driven security research can only truly enhance the overall ecosystem's security when it adheres to basic security principles such as responsible disclosure and pre-release verification. Guillemet concluded by reminding Ledger users to keep their device firmware, Ledger applications, and related software up to date to automatically receive the latest security fixes and research outcomes. Users should not be influenced by the related 'FUD' and should maintain safe habits by updating their software in a timely manner.

On August 27, Charu Chanana, Chief Investment Strategist at Saxo Markets, stated that NVIDIA's (NVDA.O) performance strongly validates the investment logic in artificial intelligence infrastructure. She pointed out that as production capacity continues to expand, sectors such as storage, networking, optical communication, power infrastructure, and some cloud service providers will benefit. However, the market increasingly needs to see returns from AI investments. Storage remains one of the most clearly benefiting areas, and NVIDIA's profit margin guidance confirms that supply remains tight. Following NVIDIA's earnings announcement, Asian memory chip stocks generally rose. However, Chanana added that the next phase of the memory chip market will increasingly depend on AI demand and whether the storage capacity of each accelerator can absorb the growing supply capacity, rather than solely relying on supply shortages to drive price increases.