Step 1: Prompt injection via issue title. Cline had deployed an AI-powered issue triage workflow using Anthropic's claude-code-action. The workflow was configured with allowed_non_write_users: "*", meaning any GitHub user could trigger it by opening an issue. The issue title was interpolated directly into Claude's prompt via ${{ github.event.issue.title }} without sanitisation.
“能够参与中国立法意见征询，让我倍感振奋，也体会到沉甸甸的责任。”丹麦籍立法信息员、特雷通集团创始人李曦萌说，1993年，中国首部公司法颁布，他来到上海开启创业之路。30多年来，他见证了这部法律的不断修订、完善。2022年，他首次参加全国人大常委会法工委虹桥街道基层立法联系点意见征询会，为公司法（修订草案）出谋划策。
。谷歌浏览器下载对此有专业解读
CUPERTINO, CALIFORNIA Apple today announced the latest 14- and 16-inch MacBook Pro with the all-new M5 Pro and M5 Max, bringing game-changing performance and AI capabilities to the world’s best pro laptop. With M5 Pro and M5 Max, MacBook Pro features a new CPU with the world’s fastest CPU core,1 a next-generation GPU with a Neural Accelerator in each core, and higher unified memory bandwidth, altogether delivering up to 4x AI performance compared to the previous generation, and up to 8x AI performance compared to M1 models.2 This allows developers, researchers, business professionals, and creatives to unlock new AI-enabled workflows right on MacBook Pro. It now comes with up to 2x faster SSD performance2 and starts at 1TB of storage for M5 Pro and 2TB for M5 Max. The new MacBook Pro includes N1, an Apple-designed wireless networking chip that enables Wi-Fi 7 and Bluetooth 6, bringing improved performance and reliability to wireless connections. It also offers up to 24 hours of battery life; a gorgeous Liquid Retina XDR display with a nano-texture option; a wide array of connectivity, including Thunderbolt 5; a 12MP Center Stage camera; studio-quality mics; an immersive six-speaker sound system; Apple Intelligence features; and the power of macOS Tahoe. The new MacBook Pro comes in space black and silver, and is available to pre-order starting tomorrow, March 4, with availability beginning Wednesday, March 11.
Decoding refers to predicting (classifying) pre-defined labels or cognitive states from brain activity patterns. This type of classification has long been used for neuroscientific insight. In multivariate pattern analysis (MVPA), voxel activity patterns are treated as feature vectors and classifiers are trained to distinguish experimental conditions (for example risky vs. safe decision, add vs. subtract, rule A vs. rule B).