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Apple Introduces Dedicated Siri App At WWDC 2026

Introduction

At WWDC 2026, Apple introduced a redesigned AI-powered Siri, expanding the assistant’s capabilities and introducing new ways for users to interact with Apple’s artificial intelligence features.

Innovative Assistant Features

One of the key changes is the introduction of a dedicated Siri app. The new interface allows users to access previous conversations, review past interactions and continue ongoing discussions without starting from scratch. The design brings Siri closer to modern AI chatbot experiences by providing a more structured view of conversation history.

Expanded Capabilities Across Modalities

The updated Siri supports multiple forms of interaction, including text input, voice conversations, document uploads and image uploads. Apple said these additions are intended to make the assistant more flexible across a wider range of tasks and use cases.

Seamless Integration With Apple Ecosystem

The new Siri experience will be available across Apple’s ecosystem, including iOS, macOS and iPadOS. Conversation history and user interactions will be synchronised through iCloud, allowing users to continue sessions across devices while remaining within Apple’s privacy framework.

Broader AI Expansion At WWDC

The Siri update formed part of a wider set of artificial intelligence announcements at WWDC 2026. Apple also introduced new AI features across its software platforms as the company continues to expand Apple Intelligence throughout its ecosystem.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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