Apple tests new Siri function to execute multiple commands simultaneously on devices

The technology company has started a testing phase for a new feature of its virtual assistant that allows multiple commands to be executed in a single voice instruction. The tool changes the way users interact with the brand’s devices, eliminating the need for pauses between different requests. The resource processes complex sentences and identifies different actions within the same request, executing them sequentially and automatically.

This update is part of a larger operating system modernization package focused on generative artificial intelligence and natural language processing. The software architecture was restructured to understand the context of conversations, allowing the assistant to maintain memory of previous requests and apply this information in subsequent interactions. The change represents a transition from a rigid command model to a more fluid conversational interface.

The company’s developers work on calibrating the algorithms to ensure that simultaneous interpretation does not generate execution conflicts. The ability to chain tasks requires superior processing power, which directs the availability of this function to the manufacturer’s latest hardware. The implementation occurs gradually in test versions of mobile and computer operating systems.

Operating system update brings changes to the interface

The redesign of the virtual assistant includes a significant visual change to the devices’ graphical interface. The old spherical icon that appeared at the bottom of the screen has been replaced by a luminous border that surrounds the entire display when the tool is activated. Esta visual signaling indicates that the system is listening and processing information, integrating in a more organic way with the use of the device without interrupting the view of the application that is currently open.

In addition to the aesthetic change, the new interface allows text interaction natively, with just two touches on the bottom of the screen to open a dedicated keyboard. The user can switch between voice commands and typing seamlessly, depending on the environment they are in. The light edge dynamically reacts to tone of voice and processing complexity, providing immediate visual feedback on the status of the ongoing request.

How chain commands work in practice

Executing commands in a chain allows a single phrase to trigger different applications and system functions. The user can ask the assistant to take a photo and, in the same sentence, order the image to be sent to a specific contact in a messaging application.

Processing divides the phrase into separate intentions, triggering the camera, capturing the media, opening the messenger, locating the contact and confirming the sending. Todo This flow occurs in the background, requiring minimal manual intervention.

Another practical example involves managing personal information, such as asking to find a specific address mentioned in an email and adding it directly to an event on the calendar. The assistant crosses data between the email application and the calendar.

The accuracy of these simultaneous actions depends on the device’s semantic indexing, which organizes personal information in a structured way for quick access by artificial intelligence.

Competition in the artificial intelligence sector

The development of these new capabilities responds directly to advances presented by competing companies in the technology sector. The virtual assistant market has undergone rapid evolution with the introduction of large-scale language models, making old interactions obsolete.

The manufacturer seeks to regain space in the voice automation segment, offering deep integration that third-party applications cannot achieve due to operating system restrictions. Competitive advantage is based on complete control over hardware and software.

The strategy involves not only improving text and speech understanding, but also the system’s ability to understand what is being displayed on the user’s screen. Esta Screen context awareness is an important technical differentiator in the competition for the personal artificial intelligence market.

Technical requirements for the assistant to work

Running advanced language models directly on the device requires specific hardware components, limiting the novelty to the brand’s most recent processors. The chips must contain neural processing units capable of performing trillions of operations per second, ensuring that the interpretation of multiple commands occurs without noticeable latency.

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The RAM memory requirement is also a determining factor for the tool’s operation, since artificial intelligence models need to be loaded into volatile memory for instant access. Aparelhos of previous generations will not receive full chain command functionality due to these physical architectural limitations.

Internal tests evaluate answer accuracy

Software engineers conduct rigorous batteries of internal tests to evaluate the assistant’s success rate when dealing with ambiguous instructions or double commands formulated with complex syntax. The validation process involves the simulation of thousands of everyday scenarios, where artificial intelligence needs to decide the correct order to execute tasks and identify possible logical errors before completing the action. The development team monitors performance metrics, such as the response time between the end of the user’s speech and the beginning of the first action, as well as the fluidity in the transition between the activated applications. The central objective of this testing phase is to reduce to zero the instances in which the system executes only the first half of the command and ignores the second, a common problem in previous versions of natural language processing. Calibration of intent algorithms is adjusted daily based on crash reports generated by test devices, ensuring the final version delivers a consistent experience.

Integration with third-party applications

The expansion of multiple commands depends on the adoption of new application programming interfaces by independent developers. The manufacturer has released specific tools that allow software creators to map the functions of their applications so that the assistant can access them and combine them with actions from other programs installed on the device.

Advanced Natural Language Processing

The technological core of the new assistant is based on a completely rewritten natural language processing engine. Este system no longer relies on pre-programmed phrases or word-specific triggers to initiate an action.

Semantic understanding allows the user to speak colloquially, stutter, correct themselves mid-sentence or change their mind, and the system is still able to extract the final intention and execute the multiple requested commands correctly.

Data privacy during requests

The system architecture prioritizes local processing of information, ensuring that voice data and personal information accessed during multiple commands do not leave the device. Semantic indexing and task execution occur in isolation on the main chip.

For requests that require greater computing power, the company has developed a private cloud computing infrastructure. The data sent to these servers is processed without permanent storage and with end-to-end encryption, preventing access by third parties or the manufacturer itself.

Expanding automation capabilities

The chain command functionality reduces the dependence on applications dedicated to creating complex routines. Automation is now generated spontaneously through voice, without the need to previously configure manual workflows.

Users gain the ability to dictate sequences of actions that involve controlling smart home devices, sending messages and playing media in a single natural interaction.

The evolution of the assistant transforms the device’s microphone into the system’s main navigation and operation tool, simplifying tasks that previously required multiple touches on the screen and navigation through various menus.