OpenAI said Tuesday it is releasing a set of prompts that developers can use to make their apps safer for teens. The AI lab said the set of teen safety policies can be used with its open-weight safety model known as gpt-oss-safeguard.

Rather than working from scratch to figure out how to make AI safer for teens, developers can use these prompts to fortify what they build. They address issues like graphic violence and sexual content, harmful body ideals and behaviors, dangerous activities and challenges, romantic or violent role play, and age-restricted goods and services.

These safety policies are designed as prompts, making them easily compatible with other models besides gpt-oss-safeguard, though they’re probably most effective within OpenAI’s own ecosystem.

To write these prompts, OpenAI said it worked with AI safety watchdogs Common Sense Media and everyone.ai.

“These prompt-based policies help set a meaningful safety floor across the ecosystem, and because they’re released as open source, they can be adapted and improved over time,” said Robbie Torney, head of AI & Digital Assessments at Common Sense Media, in a statement.

OpenAI noted in its blog that developers, including experienced teams, often struggle to translate safety goals into precise, operational rules.

“This can lead to gaps in protection, inconsistent enforcement, or overly broad filtering,” the company wrote. “Clear, well-scoped policies are a critical foundation for effective safety systems.”

OpenAI admits that these policies aren’t a solution to the complicated challenges of AI safety. But it builds off its previous efforts, including product-level safeguards such as parental controls and age prediction. Last year, OpenAI updated guidelines for its large language models — known as Model Spec — to tackle how its AI models should behave with users under 18. 

OpenAI doesn’t have the cleanest track record itself, however. The company is facing several lawsuits filed by the families of people who died by suicide after extreme ChatGPT use. These dangerous relationships often form after the user eclipses the chatbot’s safeguards, and no model’s guardrails are fully impenetrable. Still, these policies are at least a step forward, especially since it can help indie developers.

Google unveiled three Gemini-powered features for Google TV on Tuesday, including AI-powered visual responses, the ability to deep dive into virtually any topic, and narrated overviews of sports games.

A particularly noteworthy addition is the introduction of visual responses.

For example, requesting the current score for the Warriors game will result in live scorecards, alongside information on where to view the game. Users can also search for recipes, and Gemini will complement its response with relevant video tutorials.

As showcased at CES 2026, Google TV is also getting “deep dives.” This feature enables users to explore complex topics in greater detail. When prompted, Gemini offers narrated visual breakdowns on all sorts of subjects, such as health and wellness, economics, and technology. For instance, users could ask, “What are the effects of cold plunging?” 

Users can initiate these deep dives by selecting “Dive deeper” in the response options or by navigating to the Gemini tab on the home screen and selecting the “Learn” option.

For sports fans, Gemini has launched “sports briefs.” This is for viewers who wish to stay updated on their favorite leagues without having to watch every live moment. Users can request timely narrated overviews of events in leagues such as the NBA, NHL, and MLB, making it easy to catch up on highlights and important updates. This comes a year after Google launched “news briefs” for viewers looking to stay informed on the latest headlines.

These features are currently being rolled out to users in the U.S. and Canada. Google has also indicated plans to expand Gemini’s capabilities to Australia, New Zealand, and the U.K. this spring, with additional countries set to follow.

Gemini first launched on Google TV in September 2025, but it was a limited release for select TCL televisions. Since then, it has expanded to more hardware and received several updates, including the ability to adjust settings through natural language, such as fixing dim screens or audio imbalances, making it a faster option than going to the menu. Users can also search their Google Photos library by voice and apply AI styles and effects.

OpenAI’s plans to make ChatGPT into an e-commerce hub aren’t exactly panning out — at least, not yet. In an announcement on Tuesday, the company revealed that it’s pivoting away from a recently launched feature that lets users buy items directly from the chatbot’s interface.

OpenAI originally launched buying capabilities in ChatGPT last year — positioning itself as a “shopping assistant” that could connect consumers to relevant vendors. A feature called “Instant Checkout” launched in September and encouraged users to talk with the chatbot about what they were looking to buy and, much like a traditional e-commerce site, add products to a checkout cart within ChatGPT. The items were purchased from the vendors, but ChatGPT acted as a portal for those purchases.

However, Instant Checkout has not been a huge success. “We’ve found that the initial version of Instant Checkout did not offer the level of flexibility that we aspire to provide, so we’re allowing merchants to use their own checkout experiences while we focus our efforts on product discovery,” the company explained in its blog post. OpenAI clarified to TechCrunch that merchants would still have the option of incorporating the feature for the time being through apps within ChatGPT.

An OpenAI spokesperson said that the company would be deprioritizing the development of Instant Checkout as a stand-alone feature and that it planned to prioritize the development of product discovery for consumers instead. OpenAI would continue to support a variety of checkout paths, including through merchants’ own websites, they said.

The Information and CNBC had previously reported that OpenAI’s new plan was for merchants to create their own apps within ChatGPT, which would then route users to checkout experiences at the merchants’ respective websites. A source who spoke with The Information noted that ChatGPT users simply “weren’t using the chatbot to actually help them make purchases,” and a study from October that looked at referral traffic from ChatGPT found that e-commerce sites were not making much money from ChatGPT users.

Instead of transforming ChatGPT into a shopping portal, what OpenAI is doing now is crafting the chatbot into a centralized hub of consumer information. That way, online shoppers will see it as an intermediary research tool that can help them decide what product to ultimately buy.

This shopping experience is powered by its Agentic Commerce Protocol (ACP), which is its open standard for e-commerce, which the company developed in partnership with fintech giant Stripe. The protocol utilizes data provided by participating merchants.

Going forward, OpenAI said that ChatGPT would provide more detailed information about products — showcasing side-by-side pictures, while also providing other comparative metrics for each item — like prices, features, and reviews.