Highlights from the XWorld × Socialynx User Co-Creation Session

At the end of October 2025, 1X Technologies' humanoid robot Neo swept through the tech world like a heatwave. This sleek robot, backed by OpenAI, is touted as the first truly home-friendly physical assistant. Priced at around $20,000 or $499 per month for leasing, Neo can clean, carry items, and even learn new tasks through imitation. In just a few days, it became the internet's focal point — seemingly, a tireless family companion has finally arrived. Yet, behind the cheers, a profound reflection on "autonomy" quietly unfolds. Remote control offers the illusion of convenience, but it exposes a core pain point in the AI industry: human operators still lurk in the shadows, and what happens to your privacy data? As Curious CEO David Tomasian puts it: "True autonomy is the only way machines can belong to us." An Illusion: The Myth of Humanoid Robot "Autonomy" Neo's launch is indeed exhilarating: standing 5 feet 6 inches tall and weighing 66 pounds, it uses tendon-driven actuators mimicking human muscles, wrapped in a soft shell for safety. Hugging Face co-founder Thomas Wolf exclaimed on X that Neo has "advanced" his timeline for home robot adoption. In demos, Neo waters plants, opens doors, washes clothes, and scrubs dishes, turning mundane chores into something poetic and efficient. But this excitement was quickly doused by reality. The Wall Street Journal's hands-on report reveals that many of Neo's movements are still remotely controlled in real time by "experts" via VR. This isn't sci-fi — it's the current state of AI, where remote piloting aids companies in training models through imitation and reinforcement learning, yet reduces the robot from "independent helper" to "human extension." Tomasian sharply notes that under this model, your "private robot" isn't truly private: it not only observes your life but uploads data to the cloud, fueling the manufacturer's training. When a robot can "see" your home layout, recognize your voice, and analyze your habits — yet remains tethered to the manufacturer's servers — who does it really belong to? From Factory to Home: The Privacy Cost Beneath Autonomy The wave of humanoid robots is flowing from factories to living rooms. Figure AI's Figure 02 and Tesla's Optimus aim to reshape industry, while Neo pushes the vision into consumer territory — not just productivity, but companionship itself. This trend is especially urgent in elderly care. Pilot projects in Japan, Korea, and parts of Europe are testing robots for assisting daily activities, monitoring health, and providing emotional support. But Tomasian points out: "The difference between aid and true care lies in understanding context and emotion." If data isn't encrypted and stored locally, "the robot isn't yours—it's someone else's lens." Privacy expert Kohei Kurihara disclosed on X that Neo users must sign a waiver allowing manufacturers access to certain operational data. This "tech-for-convenience" pact hides cracks in trust. A Medium article bluntly states that this $20,000 robot "needs a human babysitter", with complex tasks requiring an appointment for "expert mode," making users feel like they're renting a "surveilled puppet." Tomasian emphasizes that for embodied intelligence to evolve like language models, three things are essential: on-device reasoning, multimodal understanding, and encrypted autonomy. AI must not just execute commands but comprehend "why" they are given, ensuring data sovereignty belongs to the user. True care reliability stems from security and privacy, not algorithmic complexity. In other words, autonomy isn't just a technical issue — it's a social contract: Machines should embody trust, not extend surveillance. From Embodied to Digital: AI Agents' Lessons on Autonomy Neo's controversy reflects a deeper trend: "Autonomy" isn't confined to mechanical limbs — it's also about digital intelligence. Rather than teaching robots in your living room how to wash dishes, why not have agents on the network learn to "act on your behalf"? AI Agents are the extension of this direction. They're not humanoid replicas but digital extensions of human will — capable of executing tasks, making decisions, and completing transactions on behalf of users, with data ownership retained by the individual. IBM's "2025 AI Agent Report" states that Agentic AI promises an 8x productivity boost, hinging on autonomous reasoning combined with privacy protection. Google Cloud research shows 52% of enterprises using generative AI have deployed AI Agents. Deloitte predicts half of companies will enable Agentic AI by 2027. Gartner forecasts that within four years, agents will autonomously handle 15% of daily decisions. This shift redefines "autonomy": no longer machines mimicking human limbs, but agents learning to represent human intent. XWorld: A Real-World Experiment in "Machines Belonging to People" Amid this trend, the XWorld platform's explorations stand out. Since its 2023 launch, it has built a self-sustaining "agent economy" by combining AI training with token incentives: users can create, deploy, and monetize their own AI Agents. The integration of stablecoins makes settlements lower-friction, ensuring value flows under user control. Today, XWorld boasts over 11 million downloads and 1 million monthly actives in its Telegram MiniApp ecosystem, with cumulative token trading volume exceeding $34.7 million. Here, autonomy is no illusion — it's a reality co-built by users, developers, and agents: machines not only execute instructions but become "intelligence we own." Epilogue: Who Truly Owns the Machines? Neo reminds us: when "autonomy" becomes a selling point, oversight and trust must evolve in tandem. The future shown by the AI Agent industry offers another possibility: Machines are no longer just used, but truly "owned"; They no longer serve the network, but human will and data sovereignty. XWorld's experiment may provide the answer: when "agent autonomy" merges with "user ownership," machines finally begin to belong to us. In the future, when robots no longer need human eyes, that may be humanity's true liberation. 🔗 Learn more and join XWorld Website | Whitepaper | Twitter | Telegram | Youtube | Linktree

Internal sources from the XWorld ecosystem confirm that Socialynx, a next-generation AI-powered content platform tailored for Web3 creators, will officially enter its Beta testing phase at the end of April 2025. Positioned at the intersection of AI and decentralized content infrastructure, Socialynx is designed to serve creators, KOLs, and Web3-native projects. It offers an all-in-one solution that combines intelligent content generation, multi-platform publishing, and tokenized monetization - empowering creators to turn influence into ownership. “We’re not just building a tool - we’re building your AI creative partner, ready to support you at every step of your content journey" - Founding Team of Socialynx. Key Platform Capabilities AI-generated content based on custom keywords, optimized for Telegram, Facebook, Twitter, Lens, and other Web3 platforms Scheduled publishing with built-in performance analytics Seamless content tokenization and revenue-sharing capabilities via NFTs The upcoming Beta program will offer early access to Web3 influencers, DAOs, project teams, and emerging creators. Participants will be invited to test the platform’s full feature set and provide input on product development. Key Milestones Whitelist registration opens: April 25, 2025 Beta feature launch: April 29, 2025 The launch of Socialynx represents a meaningful step forward in the convergence of artificial intelligence and decentralized media. By transforming content into composable, ownable assets, Socialynx is redefining what it means to be a creator in the Web3 era. Socialynx is currently preparing for its first beta phase, with the Telegram bot set to be the initial launch point. Interested creators and collaborators are encouraged to follow their socials and stay tuned for early access updates and future announcements. 🔗 Join them on Telegram: https://t.me/socialynx_agent 🔗 Follow on X: https://x.com/socialynx_ai

Recently, XWorld and its content tool platform Socialynx hosted an online product feedback and co-creation session under the theme “Optimizing Through Community.” The event brought together KOLs, KOCs, and active users to engage in open dialogue around three core topics: AI-powered content creation, token mechanism improvements, and user experience enhancement. The session sparked honest conversations and yielded valuable insights that will directly influence future product development. 🔍 Core Discussion Areas: Building trust and transparency around the XWorld platform Expanding and optimizing Socialynx’s AI content creation capabilities Improving token system logic and user experience flow 🧠 Topic 1: Transparency as the Foundation of Trust Early in the session, some new users expressed confusion about XWorld’s monetization model. While KOLs have worked to explain the platform’s revenue-sharing system—where ad profits are redistributed to users—participants agreed that a more structured and transparent information framework is essential. This includes clearly communicating how the platform works and helping Web3 newcomers understand the value exchange and earning logic behind XWorld. 🎨 Topic 2: Socialynx AI Tools—Toward Openness and Versatility Participants showed strong interest in Socialynx’s AI-powered content tools, offering a range of suggestions to expand their impact: Personalized content generation tailored to different platforms (e.g., TikTok, YouTube) and creator styles Ready-to-use, highly shareable formats like memes, reactions, and listicles Lightweight content creation tools accessible to regular users (e.g., auto-generated video titles, descriptions, captions) Real-time trend detection and keyword suggestions to help users tap into viral moments Automated comment reply and follower-boosting features to support account growth The takeaway? AI shouldn’t just be a utility—it should be a creative partner that enhances user output and broadens their reach. 💰 Topic 3: Refining the Token Experience—Balancing Utility with Simplicity Discussions around the token system centered on both logic and usability. KOLs raised concerns about daily earning caps, liquidity dynamics, and pricing mechanisms. In addition, participants flagged several experience issues: Lack of flexibility in investment configuration under a single account Confusing token slot logic that feels unintuitive Slow customer support response times, often taking 2–3 weeks to resolve issues Suggestions included: Introducing gamified features such as tasks, quests, and seasonal events Streamlining token mining logic to reduce user confusion Establishing service-level agreements (SLAs) for customer support with clearer turnaround expectations 📈 What’s Next: Socialynx Product Roadmap Informed by Real Feedback Based on this session’s input, the Socialynx team is exploring the following roadmap items: Launch of simplified AI content creation kits for regular users New templates including memes, reaction videos, and viral-friendly formats Growth automation features like auto-replies and trend alerts Improved token UX to minimize confusion and remove unnecessary friction Transparency dashboards and onboarding resources to help new users build confidence Faster customer support systems with committed response times 👂 Listening Builds Better Products At XWorld and Socialynx, we believe the best products aren’t built in isolation—they’re co-created with the community. This session not only delivered actionable insights, but also affirmed our users’ deep interest and trust in the long-term vision. We’re grateful for every voice that contributed, and we’ll continue to listen, adapt, and build with intention.