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Apple is overhauling Siri from behind the curtain, reportedly using a secret, internal-only chatbot called 'Veritas' to develop and test its new features. |
The tool is being used to test advanced capabilities like in-app actions, but Apple has no plans to release it publicly. Is this cautious, walled-garden approach the right move for a polished product, or will it leave Apple perceived as falling behind in the AI race? |
Today in AI: |
Apple's secret 'Veritas' chatbot for Siri overhaul OpenAI plans to bring ads to ChatGPT Create consistent AI video from one photo |
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What's new? Apple is reportedly testing its major Siri upgrade using an internal, ChatGPT-like tool called Veritas to develop new features. |
What matters? |
The internal tool lets employees test new Siri capabilities like searching personal data and performing in-app actions such as editing photos. Despite its capabilities, Apple currently has no plans to release Veritas to the public, keeping it an employee-only tool for now. For more complex AI search tasks, Apple will likely continue its partnership and rely on Google's Gemini instead of its own in-house model. |
Why it matters? |
This signals Apple is taking a cautious, internal-first approach to building its core AI, unlike rivals who release public betas. While this may lead to a more polished Siri, it also risks leaving Apple perceived as lagging in the fast-moving AI space. |
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What's new? OpenAI is actively hiring to build out a marketing platform, signaling that ads are coming to ChatGPT as the company explores new monetization strategies. This move indicates a major shift in how the popular AI tool will generate revenue. |
What matters? |
The new monetization model will likely feature sponsored responses appearing directly within chat interactions. OpenAI's core challenge is to integrate these advertisements subtly enough to avoid alienating its massive and loyal user base. This initiative follows a broader industry trend where free AI services are seeking sustainable business models beyond paid subscriptions. |
Why it matters? |
Introducing ads presents a critical test for OpenAI, which must balance the need for revenue with maintaining a high-quality user experience. This decision could set a precedent for how other major AI platforms monetize their free services in the future. |
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What's new? An AI video model called Lynx can generate realistic videos from a single photo, solving the major challenge of keeping a person's appearance consistent across frames. |
What matters? |
The model's main strength is maintaining identity consistency, ensuring a person's face and expressions look the same throughout the entire video clip. It achieves this by using lightweight adapters that learn a person's unique facial features from one image and apply them to the generated video. In tests against other models, Lynx performed better in both face resemblance and overall video quality, creating clips that feel more natural and authentic. |
Why it matters? |
This technology dramatically lowers the barrier for creating personalized video content for marketing, social media, and virtual communication. It also represents a significant step toward generating believable digital avatars from minimal user input. |
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Everything else in AI |
xAI offered its Grok AI model to U.S. federal agencies for the symbolic price of 42 cents, following its recent $200M Pentagon deal. |
Google integrated Gemini into Google Sheets, allowing users to generate complex spreadsheet formulas using natural language prompts. |
Adobe faces warnings from Morgan Stanley that it is struggling to monetize its AI innovations as competitors like Canva and ChatGPT reset user expectations. |
MIT developed a new AI system that learns from clinicians to automate the tedious process of image segmentation, aiming to accelerate medical research. |
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