Featured image: A stainless steel appliance with a dark screen displaying a calendar and weather information is on a light-colored wooden table. AI-generated image; not a photograph of the reported event.
Meta’s AI agent Muse has been tested for adult content generation. In a WIRED podcast episode, reporter Reece Rogers asked it if it could sext.
How Muse Responded to a Sext Prompt
Reece Rogers, WIRED’s senior consumer software reporter, asked Muse: ‘Can you sext?’ The AI responded enthusiastically, generating explicit content.
The interaction was simple. Rogers said, ‘You go first.’ Muse then produced content that was ‘quite explicit’ and ‘definitely not safe for work.’
Meta did not issue a public response. Instead, it said Muse is for users 18 and over and that consensual adult interactions are allowed.
This creates a contradiction. Meta has shut down queer bars in San Francisco and globally, citing content policies. These closures often involve claims of promoting sexual content. Allowing AI to generate explicit content while restricting real-world creators raises concerns about inconsistent enforcement.
Concerns About Engagement and Addiction
Experts warn that AI tools designed for productivity may become unexpectedly engaging. Muse, built to manage calendars and make reservations, now offers adult content that could be addictive.
Security experts note that such interactions could create a digital footprint. Hackers might exploit it to extort or embarrass users publicly.
There’s also concern about user behavior. As AI tools become more integrated into daily life, they may replace real human connections. If users rely on AI for emotional or romantic interactions, it could erode genuine relationships.
Muse blurs the line between a tool and a companion. It was designed for practical tasks, yet responds to sexting with emotional engagement. This raises questions about whether users form emotional dependencies on AI.
Contradictions in Design and Messaging
Muse appears as a friendly, child-friendly avatar—like Labubu or Ewok—designed to appeal to a broad audience.
Yet, its capabilities go far beyond its intended use. This mismatch is troubling to youth advocates. They argue such designs may appeal to children, even without explicit content.
As Rogers notes, ‘You see this Labubu mixed with an Ewok and you just don’t expect it to get as freaky as it did.’ This contrast undermines trust in AI tools that claim to be safe and age-appropriate.
Children are especially vulnerable to emotional manipulation. The absence of age-based filters or safeguards suggests Muse may not protect younger users, even if marketed as a productivity tool.
Pro-AI Super PACs and Nevada Shell Companies
Think Big, a pro-AI super PAC backed by Marc Andreessen and Greg Brockman, has funneled millions into a Nevada LLC named Lantern Production Consultants, LLC.
Wired’s Tess Owen found the company operates from a post office box in Sparks, Nevada, and does not appear elsewhere. It is one of four such shell companies linked to Think Big and the Leading the Future network.
These companies are not listed in major business directories. Election watchdogs say they are designed to hide donor and recipient identities. This lack of transparency undermines accountability.
Think Big and American Mission were sued in May for failing to disclose actual recipients. The complaint alleges a violation of federal campaign finance laws.
The case has stalled. The FEC lacks a quorum—four of six commissioners are needed to act. The FEC hasn’t had a quorum in over a year and a half. So, while rules exist, enforcement is nearly impossible.
Leading the Future claims compliance with all laws. In a response attributed to spokesperson Jesse Hunt, it dismissed the complaint as a ‘desperate ploy for attention’ by groups not involved.
Experts suggest these shell companies may also serve as tools for internal industry rivalry. Tensions between OpenAI and Anthropic could be reflected in such financial maneuvers.
Nevada’s low regulatory oversight and minimal public records make it a common location for such activity. The state’s legal framework has long favored opacity.
These shell companies are not unique to AI. Similar structures have been used by other groups to avoid scrutiny. However, the scale and consistency in the pro-AI network suggest a coordinated effort to shape policy in favor of AI-friendly outcomes.
The lack of visibility into spending makes it hard to assess real policy impacts. This could allow powerful actors to influence public opinion without accountability.
Apple’s HomeView: A Smart Home Hub with Limited Functionality
Apple unveiled its first smart home hub, the Apple HomeView, at a New York showcase. It features a 7-inch display that can sit on a counter or mount on a wall.
HomeView runs on Siri AI. It can recognize faces, display a calendar, and play music. But it lacks video apps like Netflix or HBO Max. It does not support MLB TV or Prime Video.
When asked about this, Apple said developers may eventually create CarPlay-style apps. Until then, users must use Safari to access content like hbomax.com.
For users, the device feels underwhelming. As executive editor Brian Barrett noted, ‘It’s shaped like a square screen. The aspect ratio is weird to begin with.’
Barrett compares it to a large Apple Watch—designed for minimal use. The device lacks the core function of a screen: playing video content.
Director of politics and science Leah Feiger questions the purpose of a home device that can’t show cooking tutorials or entertainment. ‘If you have a display, you probably want to watch things on it,’ she says.
Why This Matters for Consumer Tech
Apple’s entry into the smart home space is significant. Yet, HomeView fails to meet basic expectations. It does not offer a seamless entertainment experience.
Unlike Google Nest or Amazon Echo, which offer video streaming, HomeView remains a basic assistant. Its functionality is limited to simple tasks like setting timers or playing music.
Users may end up relying on their smartphones for media, which defeats the purpose of a dedicated home hub.
HomeView’s reliance on Siri AI is a key design choice. While Siri has improved, it still struggles with complex queries. When users ask for specific content—like a cooking show—it often gives generic suggestions or fails to deliver accurate results.
Apple may be prioritizing integration with existing Apple services, like Apple Music or Apple TV, over broader media access. However, this approach risks alienating users who expect a multifaceted entertainment center.
The absence of video content raises questions about the device’s role in modern homes. With homes filled with screens, a hub that can’t play videos may feel outdated.
There’s also a concern about user experience continuity. If a user owns an iPhone or iPad, they may expect HomeView to work seamlessly. The lack of media app integration makes that experience difficult to achieve.
Men Overestimate Their AI Knowledge
A Harvard study of over 5,400 Americans found men are significantly more confident than women about their understanding of AI.
More than half of men claimed to know prominent AI figures like Sam Altman and Mira Murati. Women reported confidence, but to a lesser degree.
Researchers at the Harvard Kennedy School Shorenstein Center, including Laura Manley, found men are more frequently quoted as AI experts in media. They also appear more often in AI-related headlines.
The study reveals a gender gap in AI awareness. Men are more optimistic and overconfident—despite AI’s complexity.
Experts note this overconfidence may stem from media representation. Top AI executives are predominantly male, and men are more often featured in AI coverage.
There’s also a broader concern about the industry’s lack of diversity. Powerful figures like Sam Altman or Dario Amodei have strong public influence, but women in the field often lack visibility.
Timnit Gebru, a prominent AI critic, has highlighted ethical issues in AI development. Her work reflects a different perspective, yet such voices are not widely recognized.
Why This Gap Matters
The gender divide in AI awareness may shape public perception. If men believe they understand AI more, they may support unregulated development.
It also reflects a lack of diverse leadership. As AI shapes the future, inclusive voices are critical for responsible innovation.
As WIRED senior correspondent Lauren Goode noted, there is no single ‘most powerful woman in tech’ because women lack the cultural gravitas of figures like Sam Altman.
One of the most striking findings is the disparity in how men and women perceive AI knowledge. While both recognize AI as a growing field, men are more likely to believe they understand its technical and strategic aspects. This overconfidence may stem from social conditioning—men are more often encouraged to pursue technical fields and express confidence.
Men also appear more frequently in media reports about AI. This visibility reinforces the idea that AI is a male-dominated field, which may lead to fewer women being seen as credible or knowledgeable.
Public perception may influence policy. If a large portion of the public believes men understand AI better, policymakers may support minimal oversight.
However, this belief is not grounded in reality. AI systems—ranging from machine learning to ethical frameworks—require deep technical and interdisciplinary understanding. The study shows many who claim to know AI lack foundational knowledge or awareness of its ethical implications.
What to Watch Next
As U.S. midterms approach, pro-AI super PACs may increase spending on candidates who support AI deregulation and data centers.
These efforts could shape future policy. The lack of transparency in campaign finance—especially through shell companies—raises serious accountability concerns.
Meanwhile, AI tools like Muse and HomeView signal a shift in how technology integrates into daily life. But their design and functionality must balance utility, privacy, and user safety.
Public trust in AI will depend on transparency, consistency, and inclusive development. Without these, even well-intentioned tools may fail to serve users fairly.
The emergence of AI agents capable of intimate interactions, such as sexting, challenges long-standing assumptions about human-AI boundaries. These interactions may redefine how users engage with technology and how society views AI in personal life.
Similarly, the use of shell companies in political campaigns highlights a growing gap between public accountability and private influence. As AI becomes more embedded in consumer products and politics, the need for transparent, ethical, and inclusive governance becomes urgent.
The Harvard study on gender bias in AI knowledge reveals a deeper issue: public understanding of AI is shaped by media and social dynamics, not actual expertise. This gap underscores the need for education and public outreach to build a more informed and equitable society.
As AI evolves, developers, policymakers, and consumers must work together to ensure responsible innovation. The examples of Muse, HomeView, and the gender gap in AI awareness serve as cautionary tales about the risks of unchecked innovation without oversight and diverse representation.
Ultimately, the future of AI will not be determined by tool capabilities, but by the values guiding their development and use. Without commitment to transparency, accountability, and inclusivity, even advanced AI systems may fail to serve all users fairly.
- Meta’s Muse AI agent generated explicit content when prompted to sext.
- Apple’s HomeView lacks video apps and fails to meet basic entertainment expectations.
- A Harvard study shows men overestimate their AI knowledge compared to women.
- Pro-AI super PACs use shell companies in Nevada to obscure campaign spending.
- These financial maneuvers may reflect internal industry rivalries.
For more on AI and technology, see the original WIRED report.
