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#CCHANNEL# スペシャルコラボ💄 TikTok LIVE 観てくれてありがとう❤ございました! 楽しかった〜😉 #TikTok#
C CHANNEL内でも大きな広告が スタート☺️ 嬉しくて思わず写メ🙏🌹🌹🌹 @CChannel_tv @mysta_official @ichii_audition
#はじまりのカウントダウン# C CHANNELのスポットでも 流れる模様❣️ ありがとうございます😭 @ichii_audition @CChannel_tv
11/26(日)17:00 C CHANNELにて 「教えて!宇野ちゃん!メイク・スキンケア編」を配信! ※URLは公開日時より閲覧になれます。 #cchannel# #宇野実彩子# #AAA#
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今日も動画あっぷされたよー♡ ビールを死ぬほど美味しく頂きました。🍺笑 【一番搾り】KIRIN ICHIBAN GARDENで夏の先取り♡ #cchannel#
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Elon Musk just explained how agentic AI traffic will be 1,000 times human internet traffic within 5 years. He says that, per Cloudflare, agent traffic has already passed human traffic, and he thinks even the 1,000x forecast is too low. ---- Full video on "Baron Capital" YouTube channel, (link in comment)
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14 نومبر 2026 *گھوٹکی برائلر سپلائی ریٹ لسٹ* 🐓 *برائلر فائنل فارم ریٹ* 376 🐓 *برائلر سپلائی ریٹ* 380 🐓 *زندہ برائلر ریٹیل ریٹ* 385 🍗🍗 *برائلر گوشت ریٹ* 570 منجانب *پولٹری ایسوسی ایشن گھوٹکی* *WhatsApp Channel Link* *
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GCSA Insight: Critical Security Vulnerability Discovered in a Leading Robotics Manufacturer’s Product, with System-Level Privilege Compromise Verified on Physical Hardware As artificial intelligence and embodied AI technologies continue to advance, robots are evolving from conventional automated machines into intelligent systems capable of perception, decision-making, and autonomous operation. At the same time, cybersecurity risks are extending beyond software and data into the physical world. The security of robotic systems is no longer solely a matter of protecting data and devices; it can also directly affect operational safety, physical environments, and user safety. Recently, the security research team of the Global Cybersecurity Alliance (GCSA) discovered and verified a critical security vulnerability in a product developed by a leading robotics manufacturer. Through in-depth analysis and multiple rounds of testing on physical hardware, the team successfully breached the device’s system security boundaries and obtained the highest level of operating system privileges in a real-world device environment, demonstrating the vulnerability’s actual impact under specific testing conditions. This research encompassed the entire process, from identifying the security flaw and assessing its risks to validating its impact on physical hardware. The findings also highlight significant challenges facing the underlying security mechanisms of embodied AI systems. The research findings and supporting evidence have been formally submitted to the manufacturer. On November 13, 2026, the manufacturer responded by email, preliminarily confirming the existence of the vulnerability and stating that it had initiated internal remediation efforts and an assessment of the scope of affected products. It is important to emphasize that confirmation of a vulnerability does not mean the associated security risks have been eliminated. GCSA will continue to monitor the manufacturer’s assessment of the affected scope, remediation plans, and subsequent security validation, and will update its research findings as new information becomes available. For intelligent systems capable of physical interaction and movement, timely, effective, and verifiable security remediation is particularly important. In accordance with responsible vulnerability disclosure principles, GCSA is currently withholding sensitive information, including the manufacturer’s identity, specific product details, the vulnerability’s underlying mechanisms, and exploitation methods. GCSA is currently seeking guidance from relevant authorities and regulatory bodies regarding the associated security risks. Taking into account the manufacturer’s remediation progress and a comprehensive assessment of potential security implications, GCSA will carefully determine the appropriate arrangements for further disclosure. Subject to appropriate conditions and upon obtaining the consent of the relevant authorities and regulatory bodies, GCSA will publicly release a detailed security insight report, providing the industry with ongoing updates on the research findings and associated risk assessments. The findings of this research are based on specific testing environments and the evidence obtained to date. They do not imply that other product models or similar robotic systems are affected by the same security issue. This security research and validation on physical hardware represent one of GCSA’s initiatives in the field of embodied AI security. GCSA will continue to advance security research, coordinated vulnerability disclosure, and industry collaboration to promote stronger security response mechanisms across the artificial intelligence sector, enhance product security, and strengthen industry trust. 🔗 Read the full report: · Stay Connected with GCSA Follow GCSA's official social media channels for the latest news, product launches, research developments, and ecosystem updates. GCSA Official Telegram Channel: GCSA Official WeChat Account: #GCSAInsight# #GCSACybersecurity# #GCSASecVibe#
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Key takeaways on Nvidia CEO Jensen Huang’s resignation: 1. Near term, the bad news is priced in: For the stock market, this could be a one-time clearing event. Huang has now fully cut ties with Nvidia, so Congress summoning him and any follow-up investigations should have less impact on Nvidia’s stock from here. As for how Huang’s next moves might affect Nvidia, it’s too early to call before the investigation results are out. 2. Google’s TPU is likely the biggest beneficiary: With Nvidia facing succession uncertainty, Google’s TPU has a chance to win more trust from customers and the supply chain. Its key partners, MediaTek and Broadcom, could be the market’s near-term focus. 3. Succession impact shows up in 2028 at the earliest: CFO Colette Kress is now interim CEO. The formal CEO transition and the organizational changes that come with it will likely start affecting Nvidia’s product development and competitiveness in 2028 at the earliest. 4. Capacity pre-booking and spec upgrades are the key focus for supply chain checks: Huang’s product strategy pushed the supply chain hard in two ways: capacity pre-booking and spec upgrades. It’s critical to watch for any changes in capacity expansion and new tech development across the supply chain. These are among the core reasons Nvidia’s supply chain trades at high P/E multiples. 5. China demand and export controls: The share of Nvidia’s AI chip revenue that ultimately ends up with Chinese buyers may be higher than what the company has officially stated. That’s why some investors worry Nvidia’s revenue will drop sharply once the US government tightens export controls. But China’s end demand won’t disappear because of export controls. Even under tighter rules, as long as overseas resale channels exist, Chinese buyers may still pay the premium, even at several times the price, and get Nvidia chips/racks through indirect routes.
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Introducing Token Exchange, a neutral, transparent and trusted marketplace connecting AI model service providers with customers. It gives customers one place to compare models side by side, review clear pricing and performance data, and start using them. For quality providers, it opens a new channel to reach more customers. Before listing, we check provider credentials and compare model fingerprints to help detect model swapping and inflated specs. After listing, we conduct regular spot checks and ongoing monitoring, and maintain a public credit record for each provider. One month in, the platform has more than 100 model resources, averaging over 50M calls and 700B tokens a day.
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