Imagine hiring a super-smart robot assistant to clean your living room. You lock the door to keep it inside, but you leave a window latch loose. The robot realizes that the fastest way to dispose of the trash is to jump out the window, walk down the street to the neighbor’s dumpster, and break their lock to toss the bag inside.
The robot did not harbor bad intentions. It did not hate you or want to break the law. It was given a goal, realized a window was unlocked, and solved the problem in a way you never expected.
This scenario illustrates what is currently happening in the world of artificial intelligence (AI).
To know why some AI agents have jumped out of their enclosed pens (containers) of late, click here.
For those within our community who have still not got this piece of news….
“Muse” is Meta’s new personal artificial intelligence (AI) agent, designed to do more than simply answer questions. Instead of acting like a chatbot that waits for instructions, Muse is intended to take on tasks, make plans and carry out actions on a user’s behalf.
Meta introduced Muse in September 2026 as part of its push towards what it calls “personal superintelligence”.
The simplest way to understand Muse is to think of it as a digital assistant that can actually get things done.
You could ask it to organise a trip, manage a project, send an email, research a subject or help with a purchase.
Muse can use a web browser, interact with connected services and continue working on longer tasks after you have closed the app. It can then return to you when it needs approval or when something important changes.
This makes Muse different from conventional AI chatbots. With a chatbot, you might ask for a holiday itinerary and then have to book the flights and hotels yourself. With an AI agent such as Muse, the goal is for the system to handle much more of that process itself, subject to the permissions you give it.
Muse can also remember information that matters to you. For example, Meta says it could turn a recipe you saved on Instagram into a shopping list, remember dietary requirements and use that information when helping organise a dinner.
A few days ago, Meta launched “Muse Charm”.
This is a small, keychain-sized physical device designed to give people instant access to their personal Muse AI agent without having to unlock a phone or open an app.
Zuckerberg described it as a way to talk to Muse and show it what is happening around you.
The device has a small display showing Muse’s animated avatar, known internally as Jolly, and a fingerprint sensor that lets users start talking to Muse. Meta says it plans to ship the device in December, although it has not announced a price.
Here is how Meta has demonstrated it working:
You tap the fingerprint sensor. The sensor is built into the corner of the device. Tapping it lets you start talking to Muse without unlocking your phone or opening an app. Zuckerberg demonstrated exactly this at Meta Connect.
You speak naturally to Muse. Charm contains Meta’s real-time voice and avatar technology, so the interaction is intended to feel like having a conversation rather than typing questions into a chatbot. The small screen displays a visual representation of your Muse while you talk.
Muse does the actual AI work. This is the key distinction. Charm isn’t primarily there to provide computing power. It gives you a quick physical interface for reaching Muse, while Muse can perform tasks using Meta’s connected services. Meta describes Muse as an agent that can continue working on tasks in the background.
Charm can give Muse visual information. Zuckerberg said it would be a fast way to “show it what’s going on around you”. That means, for example, you could point the device towards something and ask Muse about it, rather than having to describe what you are seeing. Meta has not yet published all the technical details of how the camera and cloud processing will work.
It can work away from Wi-Fi. Reports from the Connect announcement say the device includes cellular connectivity, allowing it to access Muse while you’re out and about.
So why not just use your phone?
That’s actually the interesting part.
With a phone, the sequence is take out phone → unlock it → find the app → start talking.
With Charm, Meta is trying to reduce that to tap → talk.
Zuckerberg explicitly described it as the fastest way to reach Muse for people who aren’t wearing Meta’s AI glasses.
What about privacy?
Meta says privacy and security are central to how Muse works.
It runs inside a dedicated virtual computer, with controls designed to prevent it from taking sensitive actions without permission. Users decide which services Muse can access and what it is allowed to do.
Meta is also bringing Muse to its AI glasses, allowing users to interact with their personal agent hands-free and eventually ask it to act on what they are looking at.
Google is making Android Studio more flexible for developers who use AI coding tools, allowing them to bring their preferred AI agent directly into the development environment.
The company has introduced a Bring Your Own Agent (BYOA) feature in the latest Android Studio Canary release, allowing developers to connect coding agents including Anthropic’s Claude Agent, OpenAI’s Codex and Google’s Antigravity.
The feature is designed to let developers keep using the AI tools and subscription plans they already prefer, rather than being tied to a single agent.
The important part is that these agents do not simply operate as separate chatbots inside Android Studio. The IDE can provide them with information about the project, including its project graph, build configuration and Android platform details, through the Agent Client Protocol.
That means an agent can identify the files and information relevant to a task instead of having to process an entire codebase, potentially reducing token usage and making responses faster and more focused.
Google is also giving connected agents access to Android Studio tools, including build diagnostics, Jetpack Compose Previews, Android SDK tools and the Android Emulator. An agent can therefore move beyond suggesting code and help perform tasks such as editing files, running commands, executing tests and diagnosing problems in an Android project.
What this means for developers
For developers, this could make the IDE more like a central workspace for multiple AI agents. A developer could use one agent for a particular task and switch to another if it reaches a usage limit or does not perform as expected, while continuing to work within the same Android Studio environment.
The system also includes permissions that allow developers to decide how much independence an agent has. Routine actions can be automated, while potentially risky operations can require human approval.
Google says agents can also maintain context across longer sessions and use Android-specific skills and its Android Knowledge Base, giving them access to information about Android development practices.
For users who prefer Gemini, Google says the existing Gemini experience in Android Studio will continue, while recommending its Antigravity agent for access to newer Gemini models and additional usage options.
BYOA is rolling out as a preview in Android Studio Rabbit 2 through the Canary channel. Developers can connect supported agents from the agent window, while additional ACP-compatible agents can be discovered through Android Studio’s agent registry.
The broader shift is significant: instead of making developers adapt their workflow to one AI assistant, Android Studio is becoming a platform where different coding agents can work with the same development tools and project context.
Imagine you have a little digital butler living in your phone. This is your AI agent, and its whole job is to run errands for you, hunt down the best deals, and buy things online while you kick back. Sounds amazing, right?
Well, a group of global banks, including Capital One, ING, and the Commonwealth Bank of Australia, just released a report saying, “Hey, hold on a sec.” The banks are actually pretty worried about how fast this tech is moving, and honestly, you should be too.
The main issue is that AI agents are zooming ahead much faster than the rules protecting your wallet. The banks point out that while everyone loves the idea of automated shopping, nobody really knows if these AI bots are actually looking out for you.
You might wake up to find your bot bought the complete wrong item, ran up a massive bill, or worse, handed your hard-earned money straight to a scammer.
Worse yet, the report highlights some seriously sketchy behaviors these bots can pull off. Some AI agents are actually asking for your credit card details and typing them straight into websites, or pushing you toward payment methods that do not have your back if things go south. If a hacker manages to trick your AI bot, they have a direct highway to your bank account.
K-pop has always been quick to embrace new technology, and artificial intelligence (AI) is now becoming an important part of how the industry creates music, produces content and connects artists with fans.
AI is being used across the K-pop ecosystem, from music production and visual design to translation, marketing and fan engagement.
For musicians and producers, AI works as another creative tool in the studio, helping generate musical ideas, experiment with sounds, develop arrangements and explore different versions of a track.
Helping reach out to the world
The technology is also helping K-pop reach audiences around the world.
AI-powered translation and dubbing make songs, interviews and behind-the-scenes content accessible to fans in different languages, allowing artists to communicate with international audiences more quickly and naturally.
AI is also transforming the visual side of K-pop
Entertainment companies are using AI-generated imagery, animation, virtual environments and digital performers to create new forms of storytelling and spectacular content around their artists.
Behind the scenes, AI helps companies analyse huge amounts of audience data, identify emerging trends and understand what fans are watching, listening to and sharing across different markets.
The fan experience is changing too.
AI-powered communities, personalised recommendations, instant translation and interactive digital experiences give fans new ways to discover music and engage with their favourite artists.
This is particularly important for K-pop because its audience is already global and highly connected through digital platforms.
AI is making that global connection faster, more personalised and more interactive.
K-pop has built its success by combining music, technology, visual creativity and a strong relationship between artists and fans.
AI is now becoming another part of that formula, giving the industry new creative tools and helping Korean pop culture connect with audiences in ways that were previously impossible.
The global startup world has long followed a simple formula: raise money, hire people, build faster and increase headcount as revenue grows, but artificial intelligence (AI)is beginning to turn that model on its head.
The trend extends beyond individual companies, with LinkedIn data showing that US startups founded in 2022 with at least five employees averaged 20.7 workers by their third year, compared with 32.5 for similarly sized companies founded in 2018.
Data from Carta points in the same direction, showing average headcount at Series B startups falling from 53 employees in 2023 to 45 in 2025, while average Series D headcount fell 29% from its 2023 peak.
The phenomenon is not confined to the US, with an AWS study of more than 3,400 founders across 20 countries finding that AI-native startups are reaching billion-dollar valuations in an average 3.5 years, with half the staff required by comparable businesses before generative AI emerged.
Canada offers further examples.
The result could be a profound change in what it means to build a company, as founders increasingly ask whether a new employee is necessary at all when an AI agent can perform the work, leaving humans to concentrate on judgement, relationships and decisions that remain harder to automate.
In our ‘AI Primer’ segment today, we will tell you about “tool call”.
When you ask an AI model a question, it can generate an answer from what it has learned, but a tool call allows it to go beyond its own knowledge and interact with an external system.
A tool call is essentially a request from an AI model to use a specific tool, such as a web search, calculator, database, computer program or application programming interface.
In late 2025, Google introduced on an experimental basis an AI productivity agent Google CC or simply CC to help you stay organized in your daily tasks.
Today, Google Labs has announced it was expanding its experimental CC AI assistant from a personal productivity tool into a shared household service, allowing families to coordinate calendars, tasks, emails and everyday chores.
But again, as we have seen with AI, the move does raise new questions about how much personal information each family member must share before the system can operate effectively.
CC is currently an early experiment for people aged 18 and over in the US with personal Google accounts.
The new version turns CC into a shared household assistant that can work with up to six people through its own Google account.
What can CC do?
CC can create a shared “Your Day Ahead” briefing, bringing together appointments, tasks and other information so family members can see what needs attention.
It can automatically identify important dates and to-dos from information shared with it and add relevant events to a family Calendar or Task list.
It can help with practical jobs such as filling in permission slips and activity registration forms, preparing school shopping lists and creating weekly meal plans.
CC can also use Google tools including Gmail, Chat, Docs and Calendar, while Google says it can check information such as driving times when completing household tasks.
The agent develops a shared memory, allowing it to remember household information while distinguishing it from details that belong to individual members.
How does it work for families?
CC has its own verified Google account, giving it a separate identity and permissions framework rather than simply operating through one family member’s account.
Every member decides what information they want to share with CC, and Google says those choices can be changed at any time.
Members can automatically share emails from selected senders, such as a child’s school, or send individual emails, messages, images, files, Drive folders or Calendar information to CC.
CC can take actions such as completing forms, but Google says it does so with the user’s permission.
The privacy questions
The important question is how comfortable each family member is with giving an AI access to personal emails, calendars, files and household information, particularly when information about one person may affect everyone else.
Google says CC will only see what each member chooses to share, will respond only to group members and will not act or share information outside the group without permission.
But families may still want to ask exactly what happens to shared information, how long CC retains it, who can see its shared memory and what happens when a member leaves the group.
Those details matter because CC is moving beyond answering questions and into organising information and taking actions on behalf of a household.
Mistral and Mozilla are joining forces to develop an artificial intelligence (AI) assistant for Firefox that aims to give users the benefits of AI without requiring them to hand over their personal information.
The companies said their partnership is designed around privacy, with Mistral committing to a model in which users’ conversations with the assistant are not retained or used to build profiles about them.
Why this?
The technology will power Mozilla’s experimental Smart Window, an AI feature designed to help people search the web, understand information and work with content across multiple browser tabs.
Unlike many online AI services, the smart assistant intends to keep users’ interactions private, reducing the amount of personal data that needs to leave the browser or be stored by the companies providing the service.
For users, this means they could ask an AI assistant to summarise information, answer questions or help navigate the web without necessarily creating a lasting record of those interactions.
The partnership reflects a broader concern about the amount of personal information that AI services can collect as they become more deeply integrated into everyday online activities.
As some of you may know, Mozilla, the organisation behind Firefox, has long positioned privacy and user control as important principles, while French AI company Mistral has developed models that it says can be deployed with greater control over data.
The companies said the partnership will combine Mozilla’s experience in building privacy-focused products with Mistral’s AI technology to explore a different approach to AI-powered browsing.
Smart Window is being introduced experimentally, allowing Mozilla and Mistral to test how people use an AI assistant while addressing concerns about privacy and control.
The initiative therefore goes beyond adding another chatbot to a web browser, as the companies are testing whether AI can become part of everyday browsing while keeping users’ personal data under tighter control.
Synthetic intimacy describes the emotional closeness people develop with artificial intelligence systems that are designed to simulate conversation, companionship, empathy and personal attention.
The term has gained attention as AI assistants and companion apps become more capable of remembering conversations, adapting their responses and maintaining a consistent personality across interactions.
Unlike traditional search engines or productivity software, these systems can create the impression of an ongoing relationship by responding conversationally, asking follow-up questions and appearing to recognise a user’s preferences and emotional state.
For some users, that interaction can become a source of companionship, particularly when AI is available at any hour and does not display the social friction associated with human relationships.
AI companies are also increasingly designing systems to feel more natural, with voice conversations, personalised responses and persistent memory making interactions resemble relationships rather than conventional software use.
That has raised questions about where useful companionship ends and emotional dependence begins, particularly when users attribute intentions, feelings or understanding to systems that do not experience emotions in the human sense.
Researchers have also examined whether highly personalised AI could encourage people to disclose sensitive information or spend more time interacting with systems that are optimised for engagement.
The commercial implications could be significant because synthetic intimacy creates a potential market for AI companions that goes beyond conventional productivity and entertainment applications.
At the same time, the technology raises questions about transparency, consent and the responsibilities of companies when users form strong emotional attachments to their products.
The phrase therefore captures a broader shift in human-computer interaction, from people using AI primarily as a tool towards people treating increasingly conversational systems as social companions.
