#OpenAI

Perplexity Computer now pulls real-time data directly from @Polymarket’s API. Mention or @-tag Polymarket in a Computer query for market-implied probabilities, trading volume, and liquidity across 250,000+ active prediction markets.

We rebuilt TasteSkill from scratch And today we are introducing TasteSkill v2 v2 gives your coding agent an art direction, assets and a browser check to verify its work npx skills add Leonxlnx/taste-skill check out more examples below!

Bloomberg: Apple wants a federal judge to bar OpenAI from using hardware secrets it says former employees carried over. US District Judge Edward Davila in San Jose hears that injunction request alongside OpenAI’s motion to dismiss the lawsuit. This is the lawsuit’s first major hearing since Apple sued in July. Apple says Liu, who joined OpenAI in January, exploited an authentication bug to reach Apple’s network storage and download confidential files. Apple’s later filings say he simulated a downloaded power converter schematic in LTspice and told a colleague his AI agent could adjust the circuit itself. Apple also claims OpenAI told job candidates to bring prototypes and other “design artifacts” for “show and tell” interview sessions. An injunction would land as OpenAI readies a smart speaker priced above $300 and an IPO at a targeted $1.4T valuation. Apple’s hardest task is tracing a specific file from Liu’s downloads into OpenAI’s actual product work.

truly unbelievable stuff going on. 🤯 FBI arrested a former employee in ​connection with a sophisticated ​listening device found hidden in ⁠one of OpenAI's ​offices. OpenAI says it has no indication so far that the employee accessed or exfiltrated model weights, source code or customer data, yet it hasn’t said what the device itself recorded.

truly unbelievable stuff going on. 🤯 FBI arrested a former employee in ​connection with a sophisticated ​listening device found hidden in ⁠one of OpenAI's ​offices. OpenAI says it has no indication so far that the employee accessed or exfiltrated model weights, source code or customer data, yet it hasn’t said what the device itself recorded.

We discovered a sophisticated recording device that was hidden inside one of our offices. We used our models to understand the device and where it had come from, identifying that a specific employee had planted it a few days earlier. We referred the matter to the FBI, and we’re grateful to the agents and prosecutors who moved quickly to make an arrest. The FBI’s investigation is ongoing and we will continue to support their work. At this time, we have no indications of this individual inappropriately accessing or exfiltrating model weights, source code, or customer data. The employee was terminated. We take protecting our technology, data, and people seriously, and as a matter of national importance. Our security program is designed to protect against a wide range of threat actors, from insider risks to cybercriminals to nation states, and this case is an example of how AI can help address these sophisticated security threats.

truly unbelievable stuff going on. 🤯 FBI arrested a former employee in ​connection with a sophisticated ​listening device found hidden in ⁠one of OpenAI's ​offices. OpenAI says it has no indication so far that the employee accessed or exfiltrated model weights, source code or customer data, yet it hasn’t said what the device itself recorded.

这是谷歌 Chrome 历史上第二次，谷歌为一条全链漏洞利用支付了 25 万美元赏金……给了 @XBOW。以下是完整故事： 2026 年初在马耳他的一次全员大会上，我给团队定下了一个疯狂的挑战。在 8 月年度 Black Hat 网络安全大会之前，完成一次对 Chrome 的全链漏洞利用。 我相信，没有比这更好的测试，能检验 @XBOW 是否能从 Web 应用扩展到桌面软件、服务器和设备。 Chrome 是地球上加固最严密的软件之一，全球超过一半人口都在使用。 全链漏洞利用能让攻击者完全控制一台机器，读取用户输入的每一封邮件、每一个密码和每一个银行登录信息。你不需要下载任何东西，也不需要点击钓鱼链接。访问错误的网站就够了。 于是 @moyix、Andres Luksenberg、Baul Lee 和 Willem Pinckaers 接下了这个挑战，还有第五位队友：OpenAI 的 GPT-5.6 Sol。 他们构建了一条自认为能获胜的利用链，但谷歌告诉我们，其中一个漏洞他们已经知道了。 当时我们已经身在拉斯维加斯参加 Black Hat 和 DEF CON，团队不想空手而归。 于是 Brendan 和智能体们仅用 6 天就构建了一个新的漏洞利用。 我们把它提交给谷歌，然后等待。 消息传来，我们做到了本应不可能的事。25 万美元的全链赏金，这是谷歌 2026 年规则下颁发的第一笔。 仅用 6 天和 4 万美元算力，就构建出一个影响 Windows 上十亿 Chrome 用户的漏洞利用。一位情报机构资深人士告诉我，他的团队过去要花 6 个月研究这类漏洞。 我的结论是：发现真正关键漏洞的成本正在崩塌，对攻击者和防御者都是如此。限制强大的模型不是答案；GPT-5.6 Sol 已经公开了。 但防御者拥有攻击者永远不会有的一项优势：他们可以先测试自己的代码。 假设你的软件可被利用。追猎你漏洞的人，拥有和我们一样的构建模块。 这值得紧迫对待，但不必恐慌。 XBOW 目前正在开发一款用于测试编译型软件（桌面应用、服务器、嵌入式设备）的自主产品，并与全球顶尖组织合作设计该产品。 如果你想成为其中之一，请联系我们。 附言：每当更新按钮出现时，就重启 Chrome！