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BTC $63,408.97 -0.54%
ETH $1,876.68 -0.34%
BNB $610.73 -1.22%
XRP $1.00 -1.78%
SOL $75.63 -0.97%
TRX $0.3357 +0.41%
DOGE $0.0698 -3.33%
ADA $0.1813 -2.90%
BCH $214.05 +0.16%
LINK $8.63 -1.59%
HYPE $56.28 +3.18%
AAVE $88.00 -1.15%
SUI $0.6828 -2.14%
XLM $0.1598 -1.36%
ZEC $488.00 +1.53%

arc

ARC is a decentralized financial protocol designed to provide various financial services such as lending, trading, and liquidity provision through smart contracts. ARC leverages the transparency and security of blockchain technology to eliminate the need for traditional financial intermediaries, reduce transaction costs, and improve efficiency. Its core features include a decentralized lending market and automated liquidity pools, helping users engage in financial activities in a trustless environment.
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Bitget launches a $300 million "Archimedes Plan" to provide special funding support for quantitative and asset management institutions

Bitget announced the launch of the "Project Archimedes," establishing a special fund with a total scale of $300 million to provide capital support for quantitative trading firms, asset management institutions, and market makers. The plan includes two sub-projects: a $100 million "Capital Support Program," which focuses on supporting emerging and growth-oriented quantitative institutions that adopt market-neutral strategies; and a $200 million "Interest-Free Lending Program," aimed at institutions with mature strategies and a certain trading scale, which can obtain interest-free funds by meeting corresponding trading volume or position standards to reduce financing costs and expand strategy scale.Bitget CEO Gracy Chen stated that as competition in institutional trading intensifies, capital, execution efficiency, and risk control are becoming important factors in whether strategies can achieve scalability. The Archimedes plan aims to help capable teams expand their strategy scale through capital support, with expectations to support over 50 projects in the next six months. Meanwhile, relying on Bitget's Unified Trading Account (UTA), institutions can use rToken spot positions as collateral for derivatives, allowing them to maintain tokenized stock exposure and contract strategies simultaneously without cross-account transfers, further enhancing capital efficiency.The Archimedes plan will adopt a long-term cooperation framework, implementing rolling access and phased deployment, and will regularly disclose progress such as the number of participating institutions, capital deployment scale, and strategy distribution.

OpenAI launches the GPT-5.6-Cyber model, enhancing vulnerability discovery and security research capabilities

OpenAI announced the expansion of its cybersecurity defense program Daybreak and launched the GPT-5.6-Cyber model specifically for the cybersecurity field, aimed at helping authorized security researchers and defense teams enhance their vulnerability discovery, threat analysis, and security testing capabilities. As attackers increasingly leverage AI to launch faster and larger-scale cyberattacks, defenders need to gain advanced AI capabilities in advance.This Daybreak offers two types of access: Daybreak Blue is aimed at most defense teams, providing general models such as GPT-5.6 Sol for vulnerability discovery, secure code review, malware analysis, incident response, and patch validation; Daybreak Red is aimed at advanced security research, providing GPT-5.6-Cyber for authorized vulnerability research, vulnerability validation, and security testing. GPT-5.6-Cyber is trained on GPT-5.6 Sol and optimized for cybersecurity tasks, including discovering zero-day vulnerabilities and analyzing exploit chains. It has been used in actual vulnerability research and has identified high-risk vulnerabilities in software, including the Chrome V8 JavaScript engine. Additionally, OpenAI stated that GPT-5.6-Cyber has also helped discover high-risk vulnerabilities in various domains, including privilege escalation vulnerabilities in mobile operating systems, remote code execution vulnerabilities in databases, and hundreds of privilege escalation vulnerabilities in operating system kernels.OpenAI also emphasized that Daybreak Red will only be accessible to approved individuals and organizations, controlling access through measures such as authentication, account security, monitoring, usage restrictions, and legal disclaimers. The company stated that it will continue to strengthen security monitoring, access management, and model security testing to reduce the risk of advanced cybersecurity models being abused.

hot_img SK Hynix: The competition in AI data centers is shifting from single chips to overall infrastructure architecture

SK Hynix stated in a recent article that the competition in AI is shifting from the performance of individual chips to the design and operation of the entire infrastructure architecture. The competitiveness of AI data centers no longer depends on individual components, but on whether the five key elements of computing, memory, storage, networking, and power cooling can be seamlessly integrated.The article points out that the continuous expansion of AI model scales has led to a surge in demand for computing power and data movement. Training requires repeatedly reading massive datasets, while inference relies on quickly retrieving user request information, both of which place higher demands on the system architecture of data centers. At the memory level, HBM, server DRAM, and others have formed a hierarchical system, each undertaking different bandwidth and capacity tasks. At the networking level, as large-scale training and inference rely on multi-server parallel processing, networking has become a key factor determining the scalability of data centers. System design is shifting from single-server to whole rack and cluster-level expansion.According to Omdia's forecast, the AI data center chip market will grow from $123 billion in 2024 to $207 billion in 2025, reaching $286 billion by 2030. SK Hynix also mentioned that Microsoft's Fairwater data center in Wisconsin is about the length of five football fields, indicating that infrastructure is being deployed on a larger scale. SK Hynix emphasizes that memory is becoming a key layer connecting computing and data.
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