Mom’s at the door... And your AI knows it.

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Grab a napkin—things are about to get crispy. 🍟

📣 Our AI Community, called the AI Business Boosters, is officially launching for everyone in 1 week! Early access folks are already joining... Over the next 7 days, we will be revealing one feature of the community each day. Today’s feature:

RING DOORBELL CAMS CAN NOW RECOGNIZE FACES 👁️

What’s going on? Amazon has begun rolling out its previously announced “Familiar Faces” feature for Ring doorbells. This feature can recognize and name people who regularly come to your door.

How does it work? The AI-powered feature lets Ring users create a private catalog of up to 50 faces, such as family members, friends, neighbors, or delivery drivers. After a user labels a face in the Ring app, the doorbell’s camera uses facial recognition to identify that person when they appear. Instead of a generic alert like “person detected,” users may receive notifications such as “Mom at Front Door.” The feature is turned off by default, can be customized per person, and allows users to edit, merge, or delete faces at any time. Amazon says face data is encrypted, not shared, and unnamed faces are deleted after 30 days. While the tool could reduce notification fatigue and add convenience, it raises serious privacy concerns.

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OPENAI STRUGGLES WITH SECURITY 😳

What’s up? OpenAI says prompt injection attacks on its new ChatGPT Atlas browser are a long-term security risk that can’t be fully eliminated, even as it strengthens defenses.

Want the details? Prompt injection is a technique where hidden instructions—often embedded in emails or web pages—trick an AI agent into taking unintended actions. Because Atlas can browse the web and act on a user’s behalf, it has a larger “attack surface” than standard chat tools. To counter this, OpenAI is using layered defenses and rapid updates, but its most novel approach is an AI trained to act like a hacker. This automated attacker uses reinforcement learning to repeatedly test new attack strategies in simulations, study how Atlas responds, and refine attacks until weaknesses appear—often before real-world attackers find them.

Why is this significant? AI agents are gaining more autonomy and access to sensitive data like email and payments, which makes security failures more costly. OpenAI’s approach shows that defending AI may require AI-powered testing, but it also highlights a hard truth: as agents become more capable, managing their risks will be an ongoing challenge users can’t ignore.

GOOGLE’S NEW APPROACH TO JOURNALISM 🗞️

What’s new? Google is testing AI-written summaries of news articles on Google News pages from selected publishers, and it will pay those publishers to participate.

How does it work? In this pilot program, Google places short AI-generated overviews at the top of articles from outlets like The Washington Post, The Guardian, and The Times of India. These summaries are designed to give readers quick context before they decide whether to click and read the full story. The summaries only appear on the participating publisher’s own Google News page, not across all of Google Search or News. Google says each overview clearly credits the original sources and links directly to the full article. Because AI summaries can reduce clicks, Google is compensating publishers with direct payments. The company is also testing audio news briefings and improving how users see stories from their preferred and subscribed sources.

Why does it matter? Google is trying to balance convenience for readers with financial support for publishers. If successful, it could reshape how journalism is distributed and paid for in an AI-driven internet.

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