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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.

SK Hynix plans to launch a shareholder return plan of approximately $71 billion, with a stock buyback scale of $28.4 billion

According to the Korea Economic Daily, SK Hynix is preparing a shareholder return plan that includes stock buybacks and cash dividends, with a total scale expected to be about 100 trillion won (approximately 71 billion USD).Among them, the stock buyback scale is expected to reach 40 trillion won (approximately 28.4 billion USD), accounting for more than 2% of the company's total issued shares. This scale is close to the proportion of new shares issued for the American Depositary Receipts (ADR) listing previously by SK Hynix.Compared to last year's shareholder return scale of about 14.3 trillion won (including about 2.1 trillion won in cash dividends and about 12.2 trillion won in stock cancellations), this plan's scale has increased by about 7 times.Behind SK Hynix's large-scale return plan is its leading position in the AI infrastructure core storage HBM (High Bandwidth Memory) market. The company expects revenue of about 345.6 trillion won this year, with operating profit of about 266.4 trillion won, representing year-on-year growth of approximately 256% and 464%, respectively.Previously, SK Hynix stated in its earnings call that HBM4 shipments will officially ramp up in the second half of the year, while advanced process DRAM shipments will also increase, with overall shipments expected to be higher than in the first half.Market institutions believe that as the demand for AI computing power continues to grow, SK Hynix's improved profitability may drive a recovery in the company's valuation. HSBC previously pointed out that the market's pricing of SK Hynix's profit cycle has been relatively pessimistic, and this shareholder return plan may become one of the important factors for valuation improvement.
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