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WWDC 2026: Apple Focuses On Performance, Design And AI Updates

At its Worldwide Developers Conference (WWDC), Apple devoted significant attention to software improvements before presenting its latest artificial intelligence features. Opening the keynote, Apple Senior Vice President of Software Engineering Craig Federighi focused on updates designed to improve performance, usability and everyday functionality across the company’s ecosystem.

Reframing The Narrative: Foundations First

A large part of the presentation centered on updates to existing features and services. Rather than focusing exclusively on new AI capabilities, Apple highlighted changes across its software platforms, including interface refinements, search improvements, file-sharing enhancements and updates to core applications. “Instead of just introducing a host of new features, we’re also taking the features you already rely on and making them even better,” Federighi said.

Liquid Glass And The Pursuit Of Clarity

Among the updates was a revised version of Apple’s Liquid Glass design language. Following user feedback, Apple is introducing additional controls that let users adjust interface transparency, with options ranging from the default glass-like appearance to a fully tinted mode. The changes are intended to improve readability and give users greater control over the visual experience.

Performance, Usability, And Incremental Updates

Apple also announced performance improvements across its platforms. According to the company, iPhone and iPad apps now launch up to 30% faster, images load up to 70% faster in the Photos app, and AirDrop transfers are up to 80% faster. The optimisations will also be available on older devices, including models dating back to the iPhone 11.

Addressing Long-Standing Inconveniences

Several updates focused on everyday user tasks. Apple introduced smoother transitions between Wi-Fi and cellular networks, enhanced search capabilities across its applications and a new relevance-based ranking system for Mail. The Health app is also gaining new perimenopause and menopause-tracking features, expanding the platform’s health-monitoring tools.

Incremental AI Advancements

Alongside these software updates, Apple unveiled new artificial intelligence features. The company announced additional capabilities for Siri, which will be available through a dedicated app. Apple said the updated AI-powered Siri experience will launch in beta later this year before expanding to additional markets. Other AI-related features include improved password generation in Safari, context-aware reply suggestions in Messages and a Calendar experience capable of converting natural-language requests into scheduled events.

Image Playground And AI-Driven Creativity

Apple also introduced updates to Image Playground, its AI image-generation tool. The company said the application will support the creation of more polished visual assets, while developers will gain access to new APIs that allow image-generation features to be integrated into third-party applications.

The announcements highlighted Apple’s broader effort to combine software improvements with new AI capabilities across 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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