3 Minutes
Apple is testing an internal ChatGPT-like app called 'Veritas' as part of its effort to build a much smarter, LLM-powered Siri. The tool is being used by engineers to prototype new conversational features and deeper integrations with users' personal data and apps.
What the Veritas app can do
According to internal sources, Veritas behaves like a conventional chatbot: you can hold multi-turn conversations and the system retains prior messages to keep context. Engineers are using it to trial capabilities that the next-generation Siri is expected to offer, including natural-language searches across a user’s personal content — songs, emails, photos, videos — and the ability to perform in-app actions such as editing photos or triggering other app functions.
Why Apple is keeping it under wraps
Apple has no plans to release Veritas to the public. Sources say the app is strictly for internal testing as teams experiment with how a large language model can safely access and act on private data. While the software stores past chats to preserve context for ongoing testing, executives have repeatedly signaled hesitation about launching a consumer-facing chatbot product, citing accuracy, trust, and privacy risks.
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Timeline shifts and outside collaborations
The rollout of the AI-enhanced Siri was originally expected this spring but has been pushed back; Apple now targets a launch in March 2026. To accelerate development and shore up model quality and safety, Apple is reportedly in advanced talks with major AI firms including OpenAI, Google, and Anthropic. These discussions appear focused on technical collaboration rather than licensing a finished chatbot for direct consumer use.
Expanding AI across Apple hardware
Beyond Siri, Apple plans to fold its AI work into other devices such as HomePod speakers, Apple TV, and future home gadgets. The company seems intent on blending cloud and on-device processing to balance responsiveness with privacy protections, while testing how conversational AI can trigger device actions and improve everyday interactions.
Conclusion
Veritas offers a window into Apple’s strategy for conversational AI: experiment broadly, keep early tools internal, and partner selectively to reach production-ready capabilities. As Apple refines its LLM-driven Siri and extends AI across devices, the company faces familiar trade-offs between functionality, user privacy, and the risks of launching a public chatbot.
Source: gsmarena
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