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This one command-line app saves me an hour every day
Forget clunky file management commands. This app's rapid navigation, instant previews, and effortless bulk operations make ...
Leaked API keys are nothing new, but the scale of the problem in front-end code has been largely a mystery - until now. Intruder's research team built a new secrets detection method and scanned 5 ...
OpenAI has recently published a detailed architecture description of the Codex App Server, a bidirectional protocol that decouples the Codex coding agent's core logic from its various client surfaces.
One of the latest CLI tools works with the Windows App SDK, simplifying the process of creating, building, and publishing Windows applications without using Visual Studio and encompassing most ...
Modern capabilities, such as cloud-powered management, analytics, and detection, have introduced a new architectural era to IP-based video surveillance, which remains a prominent safety feature across ...
Plus: Apple’s Lockdown mode keeps the FBI out of a reporter’s phone, Elon Musk’s Starlink cuts off Russian forces, and more.
Conversely, Kilo CLI 1.0 utilizes the MIT-licensed OpenCode foundation to deliver a production-ready Terminal User Interface (TUI) that allows engineers to swap between 500+ models.
OpenAI announced yesterday Codex Desktop, a new native macOS app that treats AI coding agents like teammates you can direct, review and set loose on long tasks.
Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the ...
Since 2023, multiple security investigations have highlighted a growing trend in which China-linked threat actors ...
Abstract: Multimodal Large Language Models (MLLM), which integrate large language models (LLMs) with vision models, aim to overcome the text-centric limitations of traditional LLMs. While models like ...
voice-assistant-prompt-optimization/ ├── 01_prepare_test_suite.py # Step 1: Generate test cases and audio ├── 02_run_optimization.py # Step 2: Run prompt optimization ├── ...
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