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Apple Tests a ChatGPT-Style Veritas to Shape the Next Siri

Apple Tests a ChatGPT-Style Veritas to Shape the Next Siri

Veritas: Apple’s Internal Sandbox for Siri

At WWDC 2024, Apple promised a revolution with Apple Intelligence, yet the real star—an upgraded Siri—remained mostly behind the scenes. To speed up development and validate new capabilities, the company is reportedly following a strategy borrowed from OpenAI: an internal application designed to test Siri’s evolving intelligence. Known inside the company as Veritas, the tool operates much like a ChatGPT-style assistant, allowing Apple engineers to push Siri’s boundaries in a controlled environment. Sources familiar with the project, including Bloomberg, describe Veritas as a fast, feedback-driven testing ground that helps the tech giant gauge usefulness and safety before any public deployment.

Crucially, Veritas is unlikely to be released publicly in its current form. Instead, it serves as a training field—an iterative loop where the Siri team can experiment, learn from real-use scenarios, and refine how the voice assistant handles complex interactions. The Apple Intelligence initiative aims to turn Siri into a more capable, context-aware assistant, and Veritas is an essential step in that journey.

A Siri with Superpowers on the Way

The company has shown, during demonstrations in 2024, a vision where Siri could understand the context of a user’s life more deeply and take actions across apps with voice prompts. Capabilities under discussion include fetching personal data stored on the iPhone—such as emails or messages—and initiating operations within other apps, like editing a photo through a simple voice command. While these features hold great promise, bringing them from concept to a polished, safe user experience is a much bigger technical challenge than anticipated.

Context, Safety, and Personal Data

Enabling a chat-driven Siri that can reference emails, calendars, and photo libraries requires balancing powerful AI with privacy and security safeguards. Veritas helps Apple’s engineers explore how to maintain user trust by designing controls, consent prompts, and privacy-preserving techniques. The broader goal is a Siri that can weave together information across the user’s device while staying within strict safety boundaries, a step that developers at Apple acknowledge is as important as raw capability.

From Delays to Deliveries: The Road Ahead

Even with rapid progress, the enhanced Siri is not expected to reach users until 2026. The delay underscores the difficulty of building an AI assistant that is simultaneously powerful, secure, and meticulously polished to meet Apple’s high standards. The challenge isn’t only about making Siri smarter; it’s about ensuring that more capable features work reliably across the iPhone, iPad, and associated apps without compromising user control or privacy. Rival AI efforts in the broader market have accelerated demand for more capable assistants, but Apple’s emphasis on careful design and safety could shape how quickly and how well the new Siri lands in everyday life.

What This Means for Apple Fans

For iPhone users, Veritas signals a future where asking Siri to manage complex tasks—like drafting messages, organizing photos, or orchestrating actions across installed apps—could become routine. The public can expect a more context-aware assistant that collaborates with the user rather than simply responding to isolated commands. While Veritas itself may not become a consumer product, the insights gained through this internal platform are likely to influence the next generation of Siri, pushing the voice assistant toward a more integrated, proactive role in daily life.

Bottom Line

Apple’s Veritas represents a pragmatic bridge between bold ambitions discussed at WWDC 2024 and the careful, user-first product reality that the company aims to deliver by 2026. By experimenting with a ChatGPT-style testing ground, Apple hopes to balance rapid AI advancement with the safety, privacy, and polish that define the brand—ultimately shaping a future Siri capable of deeper, context-rich interactions across the Apple ecosystem.