Apple is testing an internal chatbot called Veritas to develop and refine upcoming Siri AI upgrades, according to Bloomberg’s Mark Gurman. The employee-only tool allows Apple to quickly test new Siri capabilities like searching personal data and performing in-app actions, but the company has no plans for a public release and will likely rely on Google’s Gemini for AI-powered search instead.
The big picture: Apple’s internal testing approach reflects the company’s ongoing struggles to keep pace in the AI race, with next-generation Siri facing multiple delays and Apple Intelligence receiving a lukewarm market reception.
How it works: Veritas functions similarly to consumer chatbots like ChatGPT and Gemini, enabling Apple employees to engage in conversational interactions and testing.
- Employees can type requests, have back-and-forth conversations, and revisit previous exchanges to explore topics more deeply.
- The tool specifically tests Siri features like searching through personal data and performing in-app actions like editing photos.
- Apple uses the platform to rapidly develop, test, and collect internal feedback on new Siri capabilities.
Strategic direction: Rather than developing its own consumer-facing chatbot, Apple appears committed to partnering with external providers for AI search functionality.
- The company shows no indication of releasing Veritas to the public, keeping it strictly as an internal development tool.
- Apple is increasingly likely to integrate Google’s Gemini for its AI-powered search capabilities.
- This approach suggests Apple is focusing its AI efforts on enhancing existing products rather than competing directly in the standalone chatbot market.
What experts think: Bloomberg’s Gurman believes Apple’s decision to keep Veritas internal represents a missed opportunity for the company to establish a stronger presence in the consumer AI space.
Recent Stories
DOE fusion roadmap targets 2030s commercial deployment as AI drives $9B investment
The Department of Energy has released a new roadmap targeting commercial-scale fusion power deployment by the mid-2030s, though the plan lacks specific funding commitments and relies on scientific breakthroughs that have eluded researchers for decades. The strategy emphasizes public-private partnerships and positions AI as both a research tool and motivation for developing fusion energy to meet data centers' growing electricity demands. The big picture: The DOE's roadmap aims to "deliver the public infrastructure that supports the fusion private sector scale up in the 2030s," but acknowledges it cannot commit to specific funding levels and remains subject to Congressional appropriations. Why...
Oct 17, 2025Tying it all together: Credo’s purple cables power the $4B AI data center boom
Credo, a Silicon Valley semiconductor company specializing in data center cables and chips, has seen its stock price more than double this year to $143.61, following a 245% surge in 2024. The company's signature purple cables, which cost between $300-$500 each, have become essential infrastructure for AI data centers, positioning Credo to capitalize on the trillion-dollar AI infrastructure expansion as hyperscalers like Amazon, Microsoft, and Elon Musk's xAI rapidly build out massive computing facilities. What you should know: Credo's active electrical cables (AECs) are becoming indispensable for connecting the massive GPU clusters required for AI training and inference. The company...
Oct 17, 2025Vatican launches Latin American AI network for human development
The Vatican hosted a two-day conference bringing together 50 global experts to explore how artificial intelligence can advance peace, social justice, and human development. The event launched the Latin American AI Network for Integral Human Development and established principles for ethical AI governance that prioritize human dignity over technological advancement. What you should know: The Pontifical Academy of Social Sciences, the Vatican's research body for social issues, organized the "Digital Rerum Novarum" conference on October 16-17, combining academic research with practical AI applications. Participants included leading experts from MIT, Microsoft, Columbia University, the UN, and major European institutions. The conference...