Core Insights - OpenAI has released GPT-5.2-Codex, the most advanced coding model designed for complex software engineering tasks, enhancing instruction-following and long-context understanding capabilities [1][3] Group 1: Model Enhancements - GPT-5.2-Codex improves upon GPT-5.2 with better instruction adherence and long-term context comprehension, particularly excelling in large code changes like refactoring and migration [3] - The model shows significant improvements in token efficiency for coding tasks, especially at medium and high reasoning levels, becoming a primary tool for the Codex team [3] - Enhanced capabilities in network security have been noted, with GPT-5.2-Codex outperforming all previous OpenAI models in this area [6][7] Group 2: Performance Metrics - GPT-5.2-Codex achieved state-of-the-art performance in SWE-Bench Pro and Terminal-Bench 2.0 benchmarks, which assess AI agents in real terminal environments [8][10] - The model can efficiently handle large codebases and maintain context over long sessions, enabling reliable completion of complex tasks like large-scale refactoring and feature building [8] Group 3: Security Applications - A security researcher utilized GPT-5.1-Codex-Max and Codex CLI to discover a vulnerability in React, demonstrating the model's application in real-world vulnerability research [6][21] - The process involved using Codex to set up a local testing environment and analyze potential attack surfaces, leading to the discovery of previously unknown vulnerabilities [22][25] Group 4: Deployment and Access - GPT-5.2-Codex is currently available to paid ChatGPT users and will be accessible to API users in the coming weeks, with OpenAI piloting access for invited users and professionals focused on defensive cybersecurity [7] - OpenAI is planning to ensure that each new model meets high cybersecurity capability standards, emphasizing responsible deployment alongside enhanced security measures [18][25]

RT BNB Chain Developers (@BNBChainDevs)BNB Chain is moving toward a stronger, more resilient multi-client ecosystem. As part of that shift, NodeReal will sunset support for the Erigon execution client by the end of 2025. We want to make sure every node operator is fully prepared ahead of time.Here’s what to keep in mind:• Erigon support ends on Dec 31, 2025. If you’re still running Erigon, now is the time to start your migration plan.• Reth-BSC has officially joined our recommended client list. Its Rust arc ...

#后续 印度政府试图缓解外界对强制预装网络安全应用Sanchar Saathi可能侵犯隐私或用于监控的担忧，强调用户可自行卸载该软件。印度通信部长表示，“Sanchar Saathi是自愿、透明的，其唯一目的是保护印度移动用户并提升国家网络安全水平。用户可随时自由启用或卸载该应用，在确保安全的同时绝不牺牲隐私。”有印度政府官员称，应用可访问通话记录和短信等手机数据，并会向用户请求使用摄像头及其他功能的权限，但从未获取麦克风、位置信息、蓝牙或操作系统层面的访问权限。外汇交易员 (@myfxtrader):#后续 苹果公司不打算遵守印度政府强制预装国有网络安全应用Sanchar Saathi的命令，并将告知印度政府，苹果在全球任何地方都不会遵循此类指令，因为这些指令会给公司的iOS生态系统带来一系列隐私和安全问题。路透社引述知情人士的话称，苹果不打算诉诸法庭或公开表态。 ...

Fiscal Q1 2026 Earnings Call November 2025 Safe Harbor Forward-Looking Statements Unless otherwise noted, all numbers presented will be on an adjusted, non-GAAP basis. Reconciliation of GAAP to non-GAAP financial measures is in the appendix of this presentation. This presentation has been prepared by Zscaler, Inc. ("Zscaler") for informational purposes only and not for any other purpose. Nothing contained in this presentation is, or should be construed as, a recommendation, promise or representation by the ...

Core Insights - Zhongcheng Hualong has launched the HL series of domestically produced high-end AI chips, specifically the HL100 AI chip, which features large capacity, high energy efficiency, full domestic production, and low total cost [1] - The company emphasizes the importance of adhering to national cybersecurity laws and strategies to strengthen the foundation of national security [1] - The founder and CEO of Zhongcheng Hualong highlights that chips are a strategic high ground in global technology and economic competition, closely related to national security [1] Company Developments - Zhongcheng Hualong aims to break through the boundaries of AI computing power in terms of efficiency and cost, promoting the large-scale application of affordable computing and artificial intelligence [2] - The company has established a complete industrial layout with over 30 integrated products across six series, deployed in various provinces and central government agencies [2] - Future plans include the development of three additional generations of HL series chips: HL200, HL200Pro, and HL400 AI chips, which will support FP8/FP4 natively and meet the performance standards of international mainstream AI chips [2]

Core Viewpoint - Allot Ltd. is experiencing strong demand for its products and an increase in Security-as-a-Service (SECaaS) revenues, which is generating optimism among investors despite high valuation concerns and potential limitations on near-term gains [3][5]. Group 1: Company Overview - Allot Ltd. provides network intelligence and security solutions globally, enhancing and protecting digital experiences for carriers, service providers, and institutions [1]. - The company operates in diverse regions, including Europe, Asia, Oceania, the Middle East, Africa, and the Americas, offering a wide range of security and management solutions [1]. Group 2: Stock Performance and Analyst Outlook - The consensus price target for Allot Ltd.'s stock has remained stable at $12.5 over the past year, indicating a steady outlook from analysts [2][5]. - Recently, Allot Ltd. saw an 8% surge in its stock price during the last trading session, driven by higher-than-average trading volume [4]. - Despite the positive stock movement, the trend in earnings estimate revisions suggests that the stock may not sustain its upward trajectory in the near term [4][5].

Core Points - The rise of AI models has led to increased concerns about cybersecurity, particularly regarding the potential misuse of these models by fraudsters [1] - Security vulnerabilities in nearly 40 AI models have been identified, affecting various well-known service frameworks and open-source products [1] - The implementation of a revised cybersecurity law on January 1st is seen as a precursor to mandatory safety measures for AI applications [3] Group 1: Cybersecurity Risks - AI models are susceptible to various security issues such as data poisoning, model theft, memory pollution, and trust betrayal, making them easy targets for attackers [1] - The evolution of attack techniques is expected to lead to an increase in unknown threats [1] - The technology for capturing intelligence and predicting attacks has significantly improved with AI, allowing for more comprehensive detection and protection [2] Group 2: Industry Responses - Companies like Shengbang Security are conducting AI technology research related to network space mapping and counter-mapping to enhance cybersecurity [1] - The establishment of a registration and review system for significant algorithm applications is recommended to protect personal rights and public interests [3] - Collaboration among industry associations, academic institutions, and other professional entities is essential for developing ethical governance of algorithms [3]

Core Insights - Cloudflare's stock rose by 9.5% in pre-market trading, reaching $243.7 following the announcement of strong Q3 2025 financial results [1] - The company reported a 31% year-over-year revenue increase, totaling $562 million [1] - Cloudflare's paid customer base grew by 33%, reaching 295,552, while the number of customers generating over $100,000 in annual revenue increased by 23% to 4,009 [1] - Following the better-than-expected Q3 results, Cloudflare provided a higher-than-expected guidance for Q4 and raised its fiscal year 2025 outlook above market expectations [1] Financial Performance - Revenue for Q3 2025 was $562 million, reflecting a 31% increase year-over-year [1] - The number of paid customers increased by 33% to 295,552 [1] - Customers with annual revenues exceeding $100,000 grew by 23% to 4,009 [1] Market Reaction - The stock price increased by 9.5% in pre-market trading, indicating positive investor sentiment following the earnings report [1] - The closing price before the announcement was $222.50, with a significant rise to $243.70 in pre-market [2]

RT toly 🇺🇸 (@aeyakovenko)wowyou're telling me that I can secure the network, make it faster for developers, AND earn yield on the most explosive growth asset of the century? ...

RT BNB Chain Developers (@BNBChainDevs)Some node operators using the Erigon client have recently faced slower syncing or higher resource use.BSC developers are actively optimizing performance and expanding client diversity to strengthen the network and support long-term scalability.What’s happening:Erigon remains a reliable and space-efficient client for BSC, but some areas need extra tuning. Some operators have experienced:• Syncing can be slower and some nodes may fall behind• Resource consumption can be ...