In October, we announced we were building new ways to support parents as they help their teens navigate AI. This included providing parents with insights into the topics their teen has been discussing with Meta’s AI assistant. These insights are now available for parents supervising Teen Accounts in the US, UK, Australia, Canada, and Brazil, and they’ll roll out to supervising parents globally in the coming weeks. 

Giving Parents More Insight Into Their Teens’ Conversations With AI

Parents using supervision on Facebook, Messenger, or Instagram will now see a new Insights tab within supervision, both in-app and on web. From there, parents will be able to see the topics their teen has been asking Meta AI about in that specific app over the past week. Topics can range from School, Entertainment, and Lifestyle to Travel, Writing, and Health and Wellbeing, among others. 

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Parents can tap on a topic to see the different categories that fall within each one. For example, categories within Lifestyle include fashion, food, and holidays, and categories within Health and Wellbeing include fitness, physical health, and mental health. 

This is just the starting point. As we roll out these insights to parents around the world, we’ll keep listening to feedback from both parents and experts, and explore ways to make them even more valuable. 

Complementing Existing AI Protections for Teen Accounts

These new insights complement the safety protections already built into AI experiences for Teen Accounts. For example, our AI experiences have been inspired by 13+ movie ratings criteria and parent feedback, meaning Meta AI should not give age-inappropriate responses that would feel out of place in a 13+ movie. This means Meta AI may not answer certain questions, and in some cases may direct teens to resources instead. We’ll still show parents the topic their teen was asking about, even if Meta AI didn’t respond to the question. 

While the insights are designed to give parents greater visibility into the general topics their teens are asking Meta AI about, for sensitive issues related to suicide and self-harm, we’re going further. We recently announced that we’re developing new alerts to let parents know if their teen tries to engage in conversations related to suicide or self-harm with Meta AI — and we’ll have more to share on those alerts soon. 

These new insights and proactive alerts are just some of the ways we’re working to make parental supervision even more valuable for parents. They build on the supervision features already available, which — among other things — allow parents to set time limits, schedule breaks, and see who their teen has been chatting to in the past seven days. We’re encouraged to see these tools are proving helpful to families, with the number of US teens enrolled in supervision more than doubling since last year. 

Helping Parents Approach Conversations About AI

We understand that AI is a new and evolving technology, and one that parents may not always feel confident talking about with their teens. That’s why we worked with the Cyberbullying Research Center to develop conversation starters: open-ended questions parents can ask their teens that are designed to help start non-judgmental conversations about their experiences with AI. Each question comes with guidance for parents, explaining what the specific question is designed to address, and how to approach it. These conversation starters are available on the Family Center website, and parents can also access them through a link in the new Insights tab.

Introducing Meta’s New AI Wellbeing Expert Council

Finally, we’re sharing more information about Meta’s new AI Wellbeing Expert Council, a group of experts who will provide ongoing input on our AI experiences for teens, to help make sure they continue to be safe and age-appropriate. We have a long history of working closely with experts to help inform our policies and products, including our existing AI experiences. Our Suicide and Self-Harm Advisors, Youth Advisors, and Body Image Experts also advise on specific issues, and we’re extremely grateful for their expertise.

Our AI Wellbeing Expert Council is made up of members of these three existing advisory groups, as well as new members with specific expertise in responsible and ethical AI, who are affiliated with the National Council for Suicide Prevention, the University of Michigan, the University of Texas, and the University of Southern California, among others. Meta teams will meet with the AI Wellbeing Expert Council regularly to share updates on the latest AI experiences we’re building for teens and gather feedback for our policy and product teams. This work has already started, with the AI Wellbeing Expert Council providing valuable input in the development of the new insights for parents that we’re announcing today.

The post Helping Parents Understand the Conversations Their Teens Are Having With AI appeared first on Meta Newsroom.

The Google Cloud AI Agent Bake-Off highlights a shift from simple prompt engineering to rigorous agentic engineering, emphasizing that production-ready AI requires a modular, multi-agent architecture. The post outlines five key developer tips, including decomposing complex tasks into specialized sub-agents and using deterministic code for execution to prevent probabilistic errors. Furthermore, it advises developers to prioritize multimodality and open-source protocols like MCP to ensure agents are scalable, integrated, and future-proof against rapidly evolving model capabilities.

Square is a payment processing platform with built-in POS and business management tools for in-person and online sales. Here’s how it works, what it costs, and its ideal use cases.

The post What Is Square? Pricing, Features & How It Works appeared first on TechRepublic.

Google I/O returns May 19–20 to showcase major updates in AI, Android, Chrome, and Cloud, beginning with a keynote on the "agentic era" of development. The event will focus on new tools designed to automate complex workflows and simplify the creation of high-quality, AI-ready applications. Attendees can register to access live sessions, technical demos, and professional development resources both live and on-demand.

Google has released version 1.0.0 of the Agent Development Kit (ADK) for Java, introducing powerful new features like Google Maps grounding, built-in URL fetching, and a standardized Agent2Agent protocol for cross-framework collaboration. The update enhances agent control through a new "App" and "Plugin" architecture, which allows for global logging, automated context window management via event compaction, and "Human-in-the-Loop" workflows for action confirmations. Additionally, the release provides robust session and memory services using Google Cloud integrations like Firestore and Vertex AI to manage long-term state and large data artifacts.

MaxText has introduced new support for Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) on single-host TPU configurations, leveraging JAX and the Tunix library for high-performance model refinement. These features enable developers to easily adapt pre-trained models for specialized tasks and complex reasoning using efficient algorithms like GRPO and GSPO. This update streamlines the post-training workflow, offering a scalable path from single-host setups to larger multi-host configurations.

The Agent Development Kit (ADK) SkillToolset introduces a "progressive disclosure" architecture that allows AI agents to load domain expertise on demand, reducing token usage by up to 90% compared to traditional monolithic prompts. Through four distinct patterns—ranging from simple inline checklists to "skill factories" where agents write their own code—the system enables agents to dynamically expand their capabilities at runtime using the universal agentskills.io specification. This modular approach ensures that complex instructions and external resources are only accessed when relevant, creating a scalable and self-extending framework for modern AI development.

More than 1,300 internet-exposed SharePoint servers remain unpatched against CVE-2026-32201, a spoofing flaw Microsoft says was exploited as a zero-day.

The post Microsoft Patch Still Leaves 1,300 SharePoint Servers Exposed appeared first on TechRepublic.

At Data Center World, experts explain how generative and agentic AI are reshaping data center power, cooling, and infrastructure demands.

The post AI Demand Is Forcing a Rethink of Data Center Power, Cooling appeared first on TechRepublic.

Vonage’s partnership with Girls Who Code is more than feel-good philanthropy; it’s a blueprint for building diverse AI talent pipelines.

The post Vonage, Girls Who Code Show What ‘Responsible AI’ Looks Like appeared first on TechRepublic.

Mozilla says Firefox 150 patches 271 vulnerabilities found with Anthropic’s restricted Mythos AI, highlighting how quickly AI-driven bug hunting is accelerating.

The post Mozilla Fixes 271 Firefox Bugs Using Anthropic’s Mythos AI appeared first on TechRepublic.

Google Cloud has introduced the Agents CLI, a specialized tool designed to bridge the gap between local development and production-grade AI agent deployment. The CLI provides coding assistants with machine-readable access to the full Google Cloud stack, reducing context overload and token waste during the scaffolding process. By streamlining evaluation, infrastructure provisioning, and deployment into a single programmatic backbone, the tool enables developers to move from initial concept to a live service in hours rather than weeks.

Fake Antigravity downloads are enabling fast account takeovers using hidden malware and stolen session cookies.

The post Fake Google Antigravity Installer Can Steal Accounts in Minutes appeared first on TechRepublic.

Microsoft says Windows 11’s built-in security is strong enough for most users, though power users and enterprises may still want third-party protection.

The post Microsoft: Most Windows 11 Users Don’t Need Third-Party Antivirus appeared first on TechRepublic.

An Apple account notification has been exploited in a new email phishing attack that comes with a fake iPhone purchase claim.

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Hackers are abusing Microsoft Teams chats to impersonate IT support, gain remote access, move laterally, and steal company data, Microsoft warns.

The post Hackers Impersonate IT Help Desk on Microsoft Teams to Gain Access, Steal Data appeared first on TechRepublic.

We’re introducing Live Chats on Threads, which lets you participate in public group chats during the biggest cultural events. It’s a new way to build community with others around shared interests like an album drop or a big game as it unfolds. Live Chats are an extension of what’s already happening on Threads — and a new way for creators and fans to connect over what matters to them in real time.

Live Chats are more dynamic than traditional group chats because they’re designed for real-time conversations around cultural moments as they’re happening. A profile ring signals when someone is live, and features like real-time polls, countdowns, and typing indicators keep the conversation lively. Live scores keep chats in sync with games, so the discussion never falls behind the action.

Live Chats will be launching in the NBAThreads Community during the Playoffs, with community champions and media personalities hosting Live Chats during live games: Malika Andrews, Rachel Nichols, Trysta Krick, David Rushing, and Lexis Mickens.

Discover and Join Public Group Chats

You can find and join a Live Chat at the top of the NBAThreads Community feed or one that’s linked in a shared post on your main Threads feed. Live Chats in other Community feeds will be rolling out in the coming months. You can also spot a Live Chat by the red live ring around a host’s profile photo.

Once you join a chat, you can send messages — including photos, videos, and links — back and forth, and tap on reaction emojis to show how you feel. If the chat is full, you can still watch the conversation, react to messages, and vote in polls. Live Chats are open and publicly discoverable even after they’ve ended.

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To start, Live Chats can be hosted by a select group of creators, including Community Champions who are actively engaged in a Threads community, spark conversations, and join others. Eligible hosts can schedule a Live Chat to start by tapping the three-dot menu icon in the top right corner of their Community, and selecting Schedule a Live Chat. From there you can name your chat, choose a start and end time, and invite people to join. You can also share your Live Chat to your Threads feed and Instagram Story to spread the word.

What’s Next

We’re continuing to build on the Live Chats experience with new features coming soon, including co-hosting, play-by-play content with real-time updates, lock screen widgets to surface real-time Live Chats activity, and the ability to quote and share chat messages on your Threads feed.

We’re excited to bring people closer to the moments that matter. We’re starting with the NBAThreads Community as we build and refine Live Chats — rolling out gradually to more communities on Threads so we can learn from early feedback and refine the experience.

The post Live Chats on Threads: Because Big Moments Are Better Together appeared first on Meta Newsroom.

Malicious browser extensions disguised as TikTok downloaders compromised 130,000 users, exposing a growing blind spot in enterprise security.

The post Malicious TikTok Downloader Extensions Quietly Compromised 130K Users appeared first on TechRepublic.

TorchTPU is a new engineering stack designed to provide a native, high-performance experience for running PyTorch workloads on Google’s TPU infrastructure with minimal code changes. It features an "Eager First" approach with multiple execution modes and utilizes the XLA compiler to optimize distributed training across massive clusters. Moving into 2026, the project aims to further reduce compilation overhead and expand support for dynamic shapes and custom kernels to ensure seamless scalability for the next generation of AI.

This blog post introduces a workflow for extracting high-quality data from complex, unstructured documents by combining LlamaParse with Gemini 3.1 models. It demonstrates an event-driven architecture that uses Gemini 3.1 Pro for agentic parsing of dense financial tables and Gemini 3.1 Flash for cost-effective summarization. By following the provided tutorial, developers can build a personal finance assistant capable of transforming messy brokerage statements into structured, human-readable insights.