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Business Upturn
18-07-2025
- Entertainment
- Business Upturn
Why is TXXX integrating artificial intelligence into it's website?
The adult entertainment industry has often served as a technological bellwether. From the rise of VHS over Betamax to the early adoption of live streaming and virtual reality, adult platforms have frequently driven—and tested—the boundaries of digital innovation. Now, the industry is undergoing another seismic shift, this time powered by artificial intelligence. AI has already reshaped mainstream tech—from how we browse Netflix to how we interact with search engines. In the adult content space, the shift is no less transformative. Deepfakes, algorithmic recommendations, and AI-generated performers have moved from niche experiments to central features across many platforms. Enter TXXX—a high-traffic adult video aggregator and streaming site known for its wide range of free content and ease of access. Quietly but steadily, TXXX has begun to weave AI into the fabric of its site, transforming everything from how content is categorized to the kinds of videos it hosts. This integration, while subtle to the casual viewer, signals a broader trend: AI isn't just an add-on for the adult industry—it's becoming its infrastructure. TXXX's AI Integration At a technical level, TXXX is leveraging AI to improve both user experience and backend operations. One of the most visible applications is its video categorization system. By training machine learning models on metadata, tags, titles, and even visual content, TXXX has automated much of what was previously a manual tagging process. This means videos are sorted more accurately and efficiently, allowing users to discover niche content with greater precision. Complementing this is a smart search and recommendation engine, most likely built on a combination of natural language processing (NLP) and collaborative filtering algorithms. NLP enables TXXX to interpret and respond to complex user queries—even slang or vague descriptions—and return relevant content. The recommendation system learns from user behavior, watch time, and clicks to refine suggestions dynamically, creating a personalized browsing experience. Another subtle but impactful use of AI lies in thumbnail generation. Rather than relying on random or static preview images, TXXX uses AI to analyze video segments and select high-engagement frames. These frames are often optimized for visual clarity and attractiveness, increasing the likelihood of clicks. On the customer interaction front, TXXX appears to be experimenting with AI-driven chatbots. While not as visible as other features, some users report encountering automated responses in customer service chat interfaces. These bots handle basic troubleshooting, account queries, and navigation guidance, freeing up human agents for more complex tasks. AI-Generated Videos on TXXX One of the most provocative areas of AI adoption is in video generation. While TXXX does not appear to produce original deepfake content itself, it hosts a growing number of user-uploaded AI-generated videos. Tools like DeepFaceLab, Synthesia, and D-ID are commonly used by amateur and semi-professional creators to generate deepfake-style clips, many of which are then uploaded to TXXX. The presence of these videos raises important questions about labeling and transparency. TXXX does not currently flag AI-generated content in a consistent or visible manner. Unlike some platforms that include watermarks or disclaimers, many of the AI-created videos on TXXX are indistinguishable from traditionally shot content unless a user closely examines the creator description or comments. Popular categories involving AI-generated content often mimic celebrity lookalikes, anime-style avatars, and entirely synthetic virtual performers. These videos have carved out a significant niche, particularly among younger users interested in digital fantasy and novelty-driven erotica. However, TXXX has not publicly disclosed any internal guidelines or policies regarding the hosting or moderation of AI-generated content, leaving a regulatory and ethical gray area. Audience Response & User Behaviour User engagement data suggests that AI-curated and AI-generated content is driving higher interaction rates. While TXXX does not publish internal analytics, third-party tracking tools and user forum discussions suggest that AI-generated thumbnails and personalized recommendations increase time-on-site metrics. Platforms like Reddit and adult content forums frequently host discussions around AI in porn. Subreddits such as r/deepfakes and r/NSFWdeepfakes often mention TXXX as a go-to aggregator for finding AI-assisted videos. Sentiment is mixed: some users praise the quality and innovation, while others express concerns over realism, ethics, and consent. One Reddit user noted, 'I came across a video that looked so real, I had to double-check whether it was a deepfake. TXXX didn't label it, which is kind of sketchy.' Others, however, are enthusiastic about the immersive quality of synthetic content, with comments like, 'This is the future. I can get exactly what I want, even if it doesn't exist in real life.' This division suggests a growing need for transparency and user education, particularly as the line between real and virtual becomes harder to distinguish. Market Disruption & Industry Impact TXXX's AI integration is emblematic of a broader market trend. Free and premium platforms alike are in an arms race to adopt AI as a competitive differentiator. Premium sites such as Naughty America and OnlyFans are also investing in machine learning, but TXXX's open model and scale allow it to iterate faster and more widely. This is pushing both technical innovation and ethical debate to the forefront. AI tools lower the barrier to content creation, enabling anonymous or small creators to compete with established studios. At the same time, they challenge long-standing norms around authenticity and consent. Historically, the adult industry has catalyzed many tech movements—including the normalization of streaming, early mobile optimization, and VR content. AI may well be its next legacy. TXXX is not alone, but its integration of AI into core features makes it a case study in how this transformation is unfolding in real time. Ethical, Legal, and Privacy Concerns The rise of deepfake-style videos on TXXX and similar platforms brings urgent legal and ethical concerns to the surface. Most notably, the unauthorized use of real people's likenesses in AI-generated porn is a growing issue. While some countries are exploring legislation to combat non-consensual deepfakes, enforcement remains fragmented. TXXX currently lacks a clear, publicly available policy on how it moderates or flags deepfake content. This absence leaves both users and subjects vulnerable to exploitation or deception. For instance, a user unaware of a video's synthetic origin may form false perceptions, while individuals whose likenesses are used may have little recourse. There are also broader concerns about the erosion of trust and reality. As AI-generated content becomes more convincing, users may begin to question the authenticity of everything they see. This could have psychological effects not only on viewers but also on human performers, whose value may be perceived as diminished. Some users on forums have called for mandatory disclaimers, while others argue that part of the fantasy is not knowing what is real. TXXX has an opportunity—and arguably a responsibility—to lead in setting ethical standards in this space. The Future of AI Porn & TXXX's Role Looking ahead, TXXX is poised to play a pivotal role in the evolution of AI-driven adult entertainment. The platform's scale and openness make it an ideal testbed for new forms of AI integration, from fully synthetic performers to customizable interactive experiences powered by generative AI. One emerging trend is the monetization of AI content through targeted advertising, premium upsells, and bespoke video generation. Platforms could offer users the ability to design their own scenes, characters, and dialogue using AI tools, turning viewers into creators. Whether this novelty will wear off or become standard is still unclear. However, if current trends hold, AI-generated content is not a temporary fad. It represents a shift in how adult content is produced, personalized, and consumed. For TXXX, this could mean greater user retention and lower operational costs, but it will also require navigating a complex web of ethical, legal, and reputational challenges. Conclusion TXXX's integration of artificial intelligence marks a critical moment in the adult industry's ongoing transformation. From smarter search algorithms to the controversial realm of deepfake videos, AI is not just reshaping how porn is found and viewed—it's redefining what porn is. As TXXX and its peers embrace these technologies, they stand at the intersection of innovation and responsibility. The choices they make today will shape not only the future of adult content but also set precedents for how AI is adopted across digital media landscapes more broadly. Whether viewed as a technological marvel or an ethical minefield, one thing is clear: the age of AI porn is here, and TXXX is one of its architects. (Business Upturn does not promote or advertise the respective company/entity through this article nor does Business Upturn guarantee the accuracy of information in this article)
Forbes
17-06-2025
- Forbes
What The Next Iteration Of Cyberattacks Could Look Like
Ankush Chowdhary is a cybersecurity executive and author. He is the vice president and CISO at Hewlett Packard Enterprise. getty Eric, a senior executive, is winding down after a long day, mindlessly scrolling through a social media app. Amid the usual noise, one video catches his eye. She's different. Clever, tuned into his tastes in vintage watches, obscure jazz and dry humor. A comment turns into a thread, then into regular chats. Over the weeks, she becomes a familiar presence. One evening, she sends a message: 'Join me in VR? There's this jazz lounge I think you'd love.' It seems harmless. Maybe even fun. But it's bait. Eric accepts. He enters the virtual lounge, chats with her avatar, laughs and downloads a file supposedly containing backstage photos. He clicks on the file and unknowingly steps into one of the most sophisticated cyberattacks in play today. Eric sleeps soundly. He thinks he's made a harmless new connection online. But the malware hiding in that file has already started working. Here's what it does, and this is where things get disturbing. Attackers scrape hours of your voice from podcasts, calls or videos. With just five minutes of new audio, AI (like Vall-E) clones not just your voice but your cadence, hesitations and tone. Using public footage and VR session data, tools like DeepFaceLab create real-time avatars that mimic your expressions—blinking, nodding, even smirking on Zoom calls. Malware logs keystrokes, mouse movements and screen habits. Attackers replicate how you work, bypassing behavioral biometric security. • Session Hijacking: Stolen cookies and API keys bypass MFA. • Live Impersonation: A deepfake attends meetings, messages colleagues or approves fraudulent transactions. • Undetectable Breaches: Every action looks legitimate—because it's your identity, weaponized. Most cyberattacks we know today rely on technical weaknesses: vulnerable ports, poor password hygiene, unpatched systems. But this new form of attack exploits something more fundamental: human trust. It is psychological, not just technological. A social media app isn't just a content engine—it's a profiling machine. Its algorithm builds a behavioral model from everything you do, including what you pause on, what you comment on, when you swipe. Combined with public content like blog posts and interviews, this allows attackers to create an AI persona that feels eerily tailored. They build an influencer around your interests. Someone who talks about your niche hobbies. Someone who shares your worldview. They interact until it feels real. This is where it stops feeling like an attack and starts feeling like a friendship. The persona shares personal stories. Maybe they are having a bad week. They go into detail about their failed startup. They note their love for the same obscure jazz artist you mentioned. It's fake, but it feels intimate. That reciprocity builds trust. Before any malware shows up, the attacker runs small, low-stakes tests: • 'Hey, can you check if this file opens on Mac?' • 'Mind reviewing this link real quick?' • 'Does this message look like phishing? I know you'd spot it.' These tests measure how much influence they have. Each success lowers your defenses a bit more. Their interactions with you drive up visibility. The more you engage, the more you see them. Soon, they're everywhere in your feed. It's a feedback loop designed to deepen the illusion of connection. Eventually, they become your digital confidant. And you stop questioning their presence. By the time the real ask comes, you don't feel manipulated—you feel seen. The goal isn't to access your account. It's to become you. A cloned voice places a call. A deepfake sits in your meeting. Your Slack messages ask someone to override a safeguard. Your credentials log into the company's cloud. None of it looks suspicious. Because from the outside, it is you. This is the chilling truth: When your identity becomes the weapon, most security tools don't know how to defend against it. They're built to spot intruders. Not replicas. So why is this different? Let's be honest: Traditional phishing was always a numbers game. Spray and pray. This isn't that. This is slow. Personal. Surgical. And in many ways, it's more dangerous because it doesn't look like an attack. Use two-step validation for critical actions. If it involves money, data or elevated access, verify through a different channel—especially if the request feels familiar. Limit public audio and video. Don't overshare. If you don't need to speak at that panel, then don't. Or at least watermark and encrypt the output. Train your teams to expect synthetic attacks. Simulate fake voice calls, videos and messages. Help them recognize not just the tech but the psychological setup behind the bait. Use tools that track more than login data. Look for subtle behavioral shifts in typing speed, mouse paths and application usage patterns that don't match the real person. Move beyond point-in-time authentication. Use ongoing signals to decide if a user remains trustworthy throughout a session. A social media app isn't the villain. But it may be the starting point. Because the next major breach won't be a technical exploit. It'll feel like a conversation with someone who gets you. Someone who remembers your favorite song. Someone who asks about your day. Someone who sends you a file, and you open it. And the only real defense is a new mindset. Trust, once assumed, must now be earned and continuously verified. In the future of cybersecurity, identity is no longer something you prove once. It is something you must protect constantly. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Axios
03-03-2025
- Business
- Axios
Exclusive: Sony Music backs AI rights startup Vermillio
Vermillio, the Chicago-based AI licensing and protection platform, has raised a $16 million Series A co-led by DNS Capital and Sony Music, executives exclusively tell Axios Why it matters: Sony Music's first investment in AI licensing seeks to protect its artists and support them in responsibly using generative AI tools. How it works: Vermillio's TraceID tool monitors online content for use of intellectual property, as well as name, image and likeness. The platform can automatically send takedown requests and manage payments for licensed content. The company charges $4,000 per month for the software and takes a transaction fee for its licensing tool. Clients include movie studios like Sony Pictures, record labels like Sony Music, talent agencies like WME, as well as individual talent. With Sony Pictures, Vermillio let fans create AI-generated Spider-Verse characters, and it partnered with The Orb and David Gilmour, alongside Sony Music and Legacy Recordings, on AI tools for creating tracks and artwork inspired by "Metallic Spheres In Colour." Context: CEO Dan Neely has worked in AI for more than 20 years. The serial entrepreneur sold his last startup, Networked Insights, to American Family Insurance in 2017 and founded Vermillio in 2019. He says he was inspired to build the "guardrails for generative internet" after seeing the release of deepfake creation software, DeepFaceLab, and rapper Jay-Z's efforts to take down a deepfake of himself. Flashback: Prior, Vermillio raised $7.5 million in seed funding from angel investors. Dennis Kooker, president, global digital business at Sony Music Entertainment, says he was introduced to Neely about a year and a half ago and was impressed by his knowledge of and the startup's strategy. "The first project we did together was a proof of concept with David Gilmore and The Orb to show and highlight that intellectual property and generative AI can work hand in hand," Kooker says. "Training the right way, ethically and principally, can be accomplished." Zoom out: Some companies like Sony Music are seeking legal action on cases where generative AI impacts the core of IP companies. These companies want to protect and monetize creators and content along with nearly every other aspect of their businesses. Sony Music, along with Universal Music Group and Warner Records, sued AI startups Suno and Udio for copyright infringement. But content companies also want to embrace these technologies. Artists can use the tech for their own content creation and for fan engagement. What's next: Neely says Vermillio plans to expand to sports and work with major sports leagues this year. It's also releasing a free version of the product that shows whether someone is at high or low risk of AI copyright.
