Provides app functions related functionalities, allowing apps to execute, check, and set the enabled state of specific system functionalities.
Google is developing new capabilities for its AI assistant Gemini in Android 16, allowing it to perform actions within apps, similar to Apple's plans for iOS 18.
Google is developing new features for its AI assistant, Gemini, through an API called "app functions" in the Android 16 developer preview. This API allows app developers to expose specific functionalities to the system, enabling Gemini to perform actions within apps without needing to open them directly. For example, users could order food from a restaurant using Gemini without launching a food delivery app.
This development is similar to Apple's efforts in iOS 18, where Siri is gaining the ability to take actions in apps. While Apple's update is expected in spring 2025, Google's integration could provide users with a more integrated and useful AI assistant experience. Currently, Gemini can access information in some apps and Siri can handle more complex queries, but both assistants are yet to fully realize their potential to "do things for you."
The advancements hint at a significant evolution in how AI assistants function on smartphones in 2025.
Google is developing new features for its AI assistant, Gemini, through an API called "app functions" in the Android 16 developer preview. This API allows app developers to expose specific functionalities to the system, enabling Gemini to perform actions within apps without needing to open them directly. For example, users could order food from a restaurant using Gemini without launching a food delivery app.
This development is similar to Apple's efforts in iOS 18, where Siri is gaining the ability to take actions in apps. While Apple's update is expected in spring 2025, Google's integration could provide users with a more integrated and useful AI assistant experience. Currently, Gemini can access information in some apps and Siri can handle more complex queries, but both assistants are yet to fully realize their potential to "do things for you."
The advancements hint at a significant evolution in how AI assistants function on smartphones in 2025.
Reworkd is a platform that simplifies web data extraction, using LLM code generation to help businesses scale their web data pipelines. No coding skills required.
The future of iOS apps might be services that just tie into Apple Intelligence, with little to no interface of their own.
Abner Li discusses Pixie, a new AI assistant exclusive to Google's Pixel devices. The article highlights the capabilities of Pixie, which uses data from Google products to evolve and provide a more personalized experience compared to Siri. It also compares Pixie to Google Assistant's previous iteration and Apple's Siri.
Swirl is open-source software that uses AI to simultaneously search multiple content and data sources, finds the best results using a reader LLM, then prompts Generative AI, enabling you to get answers from your own data.
- Shows how an individual can use Python for speech recognition (SR), Push-to-- Talk (PTT) systems, and large action models to create their own AI assistant.
- Describes the process of creating a "la Rabbit prototype" with Python code on Raspberry Pi hardware.
- Emphasizes how these components can be combined for various tasks using different APIs like OpenAI or LLaMA (Large Language Model from Meta).
- Describes the process of creating a "la Rabbit prototype" with Python code on Raspberry Pi hardware.
- Emphasizes how these components can be combined for various tasks using different APIs like OpenAI or LLaMA (Large Language Model from Meta).
One could then imagine a “general” intelligence as simply an algorithm that is extremely good at matching the task you ask it to perform to the specialized service algorithm that can perform that task. Rather than acting like a single brain that strives to achieve a particular goal, the central AI would be more like a search engine, looking through the tasks it can perform to find the closest match and calling upon a series of subroutines to achieve the goal.
