Hacking Timer vs Google AI Edge Gallery

Time Hack marks time at 30-minute or 1-hour intervals within your selected hours and days. Choose repeating iPhone alarms or notifications that run on Apple Watch. Repeating iPhone alarms (iOS 26 or later) • AlarmKit stores the selected times and weekdays as a schedule that repeats every week. • Choose a 30-minute or 1-hour interval and one alert timing: at the scheduled time or a chosen number of minutes before it. • Select weekdays, weekends, or every day and set your operating hours. • Overnight windows and 24-hour operation are supported. • Alert times also stay inside the operating window. • The next alarm displays the nearest future time from the registered weekly schedule. • Stop silences the current alarm; Off also removes future alarms. • Alarm authorization is required on iPhone. These audible alarms can sound during Focus and Silent Mode. Apple Watch notifications • Configure times, days, and vibration patterns directly on Watch. • Choose one alert timing and a 30-minute or 1-hour interval. • Schedules that fit the system's notification budget repeat automatically. • Larger schedules reserve the nearest notifications first and refill when the app opens or receives a background refresh. This mode needs opportunities to refill. • Switching to iPhone alarms waits for Watch notifications to be removed. Changes remain pending while communication is unavailable. • Presentation of iPhone alarms on Watch depends on the connection, OS, and system settings. Requirements The iPhone app requires iOS 17 or later. iPhone alarms require iOS 26 or later. Standalone Watch notifications require watchOS 11.4 or later. No account or subscription is required. Settings stay on your devices and synchronize between iPhone and Watch. No developer data collection or advertising tracking.

AI Edge Gallery is the premier destination for running the world’s most powerful open-source Large Language Models (LLMs) on your mobile device. Experience high-performance Generative AI directly on your hardware—fully offline, private, and lightning-fast. Now Featuring: EmbeddingGemma 2 This update brings official support for the newly released EmbeddingGemma 2 model. With this release, we bring cutting edge, multimodal semantic search running 100% on your device. Try out these new capabilities in our new features Instant Media Search and Video Moment Finder. Core Features - Agent Skills: Transform your LLM from a conversationalist into a proactive assistant. Use the Agent Skills tile to augment model capabilities with tools like Wikipedia for fact-grounding, interactive maps, and rich visual summary cards. You can even load modular skills from a URL or browse community contributions on GitHub Discussions. - AI Chat with Thinking Mode: Engage in fluid, multi-turn conversations and toggle the new Thinking Mode to peek "under the hood." This feature allows you to see the model’s step-by-step reasoning process, which is perfect for understanding complex problem-solving. Note: Thinking Mode currently works with supported models, starting with the Gemma 4 family. - Instant Media Search: Explore your photo library (or built-in sample media) with fast, search-as-you-type natural language queries and image-to-image similarity matching—with zero cloud roundtrips. - Video Moment Finder: Pinpoint exact moments inside videos using natural language descriptions. Jump straight to highlighted timestamps on an interactive timeline, trim clips, and save or export your favorite moments - Ask Image: Use multimodal power to identify objects, solve visual puzzles, or get detailed descriptions using your device’s camera or photo gallery. - Audio Scribe: Transcribe and translate voice recordings into text in real-time using high-efficiency on-device language models. - Prompt Lab: A dedicated workspace to test different prompts and single-turn use cases with granular control over model parameters like temperature and top-k. - Mobile Actions: Unlock offline device controls and automated tasks powered entirely by a finetune of FuntionGemma 270m. - Tiny Garden: A fun, experimental mini-game that uses natural language to plant and harvest a virtual garden using a finetune of FunctionGemma 270m. - Model Management & Benchmark: Gallery is a flexible sandbox for a wide variety of open-source models. Easily download models from the list or load your own custom models. Manage your model library effortlessly and run benchmark tests to understand exactly how each model performs on your specific hardware. - 100% On-Device Privacy: All model inferences happen directly on your device hardware. No internet is required, ensuring total privacy for your prompts, images, and sensitive data. Built for the Community AI Edge Gallery is an open-source project designed for the developer community and AI enthusiasts alike. Explore our example features, contribute your own skills, and help shape the future of the on-device agent ecosystem. Check out the source code on GitHub: https://github.com/google-ai-edge/gallery Note: This app is in active development. Performance is dependent on your device's hardware (CPU/GPU). For support or feedback, contact us at google-ai-edge-gallery-android-feedback@google.com.