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JVN: 三菱電機製MELSEC iQ-F CPUユニットのWebサーバ機能におけるレングスパラメーターの不適切な処理
特朗普称美国不再批准新的太阳能风能项目
特朗普称美国不再批准新的太阳能风能项目
U.S. CISA adds Apple iOS, iPadOS, and macOS flaw to its Known Exploited Vulnerabilities catalog
U.S. CISA adds Apple iOS, iPadOS, and macOS flaw to its Known Exploited Vulnerabilities catalog
Больше никаких «случайных» снятий: ЦБ обяжет банки защищать ваши деньги (от вас?)
Integrated SIEM-SOAR-EDR Platform
通过OpenAI的o3发现Linux内核ksmbd模块中的释放后使用漏洞
INC
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DragonForce
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Sicurezza strategica: ogni scelta tecnologica fa parte dell’ecosistema di governance aziendale
专注飞机:用一场虚拟飞行让你保持专注
俄罗斯命令智能手机和平板预装 MAX
俄罗斯命令智能手机和平板预装 MAX
How I Hacked McDonald's (Their Security Contact Was Harder to Find Than Their Secret Sauce Recipe)
NIST Releases New Control Overlays to Manage Cybersecurity Risks in AI Systems
The National Institute of Standards and Technology (NIST) has unveiled a comprehensive initiative to address the growing cybersecurity challenges associated with artificial intelligence systems through the release of a new concept paper and proposed action plan for developing NIST SP 800-53 Control Overlays specifically designed for securing AI systems. New Framework Addresses Critical AI Security […]
The post NIST Releases New Control Overlays to Manage Cybersecurity Risks in AI Systems appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.
AI Systems Can Generate Working Exploits for Published CVEs in 10-15 Minutes
Artificial intelligence systems can automatically generate functional exploits for newly published Common Vulnerabilities and Exposures (CVEs) in just 10-15 minutes at approximately $1 per exploit. This breakthrough significantly compresses the traditional “grace period” that defenders typically rely on to patch vulnerabilities before working exploits become available. The research, conducted by security experts Efi Weiss and […]
The post AI Systems Can Generate Working Exploits for Published CVEs in 10-15 Minutes appeared first on Cyber Security News.
OpenAI联合创始人Greg Brockman:从游戏AI到通用智能,我们的创业一路意外,ChatGPT模式都是不得已的选择
OpenAI联合创始人Greg Brockman:从游戏AI到通用智能,我们的创业一路意外,ChatGPT模式都是不得已的选择
在Stripe播客《Cheeky Pint》中,OpenAI联合创始人兼总裁Greg Brockman分享了AI发展的关键洞察。他透露规模假说并非OpenAI的初始战略,而是在2017年Dota 2项目中意外发现的——每当计算资源翻倍,AI表现就相应提升,这一发现彻底改变了AI研究方向。Greg强调AI项目管理需要"过程导向"而非"结果导向",因为AI结果不可控,只能控制输入。关于GPT-3的产品化决策,团队最初感到绝望,因为选择做API违背了传统创业原则,但最终证明当技术足够强大时市场会自己找到出路。Greg预测AI将在2-5年内解决千禧年数学难题,能源将成为AI发展的主要瓶颈,而非技术本身。他认为数据墙问题已通过合成数据、强化学习等新方法得到突破,AI编程正从代码生成向智能协作演进。Greg还分析了OpenAI采用类似Disney的产品策略——以核心模型为资产,通过多种方式产品化,这种技术驱动的方法虽违背传统创业理论,但适合AGI公司的特殊性质。