**Moderator:** Good morning, and welcome to this press conference for the official release of the Xingmang application, version 2.24. We are pleased to have with us today the Head of Product, Ms. Elena Vance, and the Lead Technical Architect, Mr. David Chen. They will detail the significant updates and enhancements in this latest iteration. The floor is now open for their presentation. **Elena Vance, Head of Product:** Thank you all for being here. Today marks a substantial step forward for the Xingmang platform with the global rollout of version 2.24. Our development philosophy has always been user-centric, focusing on creating a more seamless, intuitive, and powerful tool for professional and community networking. This release is a direct result of extensive user feedback and represents our commitment to continuous, meaningful innovation. The core themes of version 2.24 are threefold: **Enhanced Communication Fidelity, Granular User Control, and Intelligent Interaction.** We have moved beyond simple feature additions to fundamentally refine the user experience, making every interaction within Xingmang more productive and personalized. First, let's address the most visible upgrade: the completely overhauled real-time communication suite. We are introducing high-definition (HD) voice and video calling as the new standard across all compatible devices. This isn't merely a label; we have implemented new audio processing algorithms that significantly reduce background noise, echo, and packet-loss distortion, ensuring crystal-clear conversations even on sub-optimal networks. The video component now supports adaptive bitrate streaming up to 1080p, automatically adjusting quality to maintain a stable connection. Furthermore, we have introduced a "Low Data Mode" for users on metered connections, allowing them to prioritize call stability over resolution. Complementing this, we have launched a new feature we call "Collaborative Whiteboard." Available within both one-on-one and group calls, this tool allows participants to brainstorm, sketch diagrams, and annotate documents in real-time. It features a variety of brushes, shapes, text tools, and a laser pointer function, making it an indispensable tool for remote teams, educators, and creative professionals. All whiteboard sessions can be saved directly to the cloud and shared with participants or absent team members post-call. **David Chen, Lead Technical Architect:** From a technical standpoint, achieving this level of performance required a ground-up optimization of our data transmission protocols. We migrated our WebRTC infrastructure to a more efficient SVC (Scalable Video Coding) model. This allows the system to encode a single video stream into multiple layers, ensuring that users with varying bandwidths and device capabilities all receive an optimal experience without degrading the quality for others on the call. The back-end architecture has also been scaled with new edge computing nodes in Southeast Asia and South America, reducing latency for our growing user base in those regions by an average of 30%. **Elena Vance:** The second major pillar of this update is a significant expansion of user control and privacy management. We are introducing "Customizable Interaction Tiers." Users can now categorize their connections—for instance, as Close Colleagues, General Network, or Conference Acquaintances—and set granular permissions for each tier. These permissions govern visibility of your online status, activity feed posts, and even specific profile fields. For example, you can choose to be "Online" to your Close Colleagues while appearing "Away" or "Invisible" to your General Network. This extends into our new "Focus Mode." When activated, all non-essential notifications from tiers you designate are automatically silenced, and the app interface dims to minimize distractions. You can schedule Focus Mode or activate it manually. We believe this empowers users to engage with their network on their own terms, balancing connectivity with periods of deep work. On the privacy front, we have consolidated all data management tools into a single, easily accessible "Privacy & Data Dashboard." From here, users can not only download a copy of their data but now also see a clear log of which parts of their profile have been viewed by other users in the last 30 days. We have also added more straightforward language and toggle switches for our data analytics settings, giving users unambiguous control over how their aggregated, anonymized data is used to improve the platform. **David Chen:** To support these new privacy features, we've implemented a new, fine-grained permission API on our servers. All data access requests, whether from another user viewing a profile or from our internal analytics systems, are now logged against this permission matrix in real-time. Furthermore, all user-defined data, including the new whiteboard sessions, is encrypted at rest using AES-256 encryption. The keys for this encryption are managed separately, adding an additional layer of security. **Elena Vance:** The third focus area is on intelligent interaction. Our "Smart Assistant," previously limited to basic commands, has been upgraded with a more advanced natural language processing model. It can now understand context and perform complex, multi-step tasks. For example, you can say, "Find the project timeline document that Sarah sent last week and schedule a call with her and Mark for next Tuesday to discuss it." The assistant will parse this command, locate the document, check everyone's calendar availability, and draft a meeting invitation for your approval. We have also introduced AI-powered "Conversation Summaries." For any group chat with more than five participants, users can now tap a summary button to generate a concise, bullet-pointed digest of the key action items, decisions, and topics discussed over a selected time period. This is designed to help users quickly catch up on active conversations they may have missed. Finally, the overall user interface has been refined for improved accessibility and discoverability. We have increased the default font size and contrast ratios, and all interactive elements are now fully navigable using keyboard shortcuts. A new "Discover" tab aggregates relevant industry news, upcoming events from your network, and suggested communities based on your profile and interests, helping you to proactively grow your professional circle. **David Chen:** The machine learning models for the Smart Assistant and Conversation Summaries run on our proprietary "Xingmang AI Engine." The summarization model, in particular, was trained on a massive dataset of professional communications to accurately identify salient points while filtering out social pleasantries and off-topic remarks. It operates entirely on a privacy-first principle; the content of your conversations is processed ephemerally to generate the summary and is not stored or used for model training without explicit, opt-in user consent. The entire application has also undergone a significant performance optimization, resulting in a 15% reduction in startup time and a 20% decrease in overall battery consumption on mobile devices. **Moderator:** Thank you, Elena and David. We will now open the floor for questions. **[Q&A Section - Simulated]** **Reporter, TechSphere Daily:** David, you mentioned the new SVC model for video calls. Can you elaborate on the specific bandwidth savings for a user on a limited 3G connection compared to the previous version? **David Chen:** Certainly. In our internal stress tests, the previous version required a minimum of 800 kbps to sustain a stable, albeit low-resolution, video call. With the SVC implementation in 2.24, that baseline has been reduced to approximately 350 kbps for a decodable video layer. For the user on a 3G connection, this translates to a far more stable call with significantly less chance of freezing or dropping, even in fluctuating network conditions. The "Low Data Mode" can push this even lower, sacrificing some frame rate for ultimate stability. **Reporter, Global Communications Review:** Elena, the "Customizable Interaction Tiers" is a powerful feature. Is there a risk of it complicating the user experience, and what measures have you taken to onboard users to this new system? **Elena Vance:** That is an excellent question. We were acutely aware of the potential for complexity. To mitigate this, upon first launch of version 2.24, users will be guided through a simple, optional setup wizard. It will suggest initial tiers based on their existing contact groups and allow them to set default permissions with just a few taps. We have also designed the interface to be non-intrusive; the tier controls appear contextually—for example, when you are about to post an update or change your status. Our goal is to provide powerful tools without forcing users to navigate a labyrinth of settings. **Reporter, Privacy Matters Blog:** Regarding the new data logging in the Privacy Dashboard, what exactly is stored in these logs, and for how long? Can you guarantee this data isn't used for targeted advertising? **David Chen:** The logs stored for the Privacy Dashboard are minimal and anonymized for internal security purposes. They record the event type—"Profile View," for instance—the time, and a non-identifying user ID of the viewer, but not the viewer's personal data. This log data is retained for 30 days solely to populate the user's dashboard and is then permanently purged. As Elena stated, our data usage for advertising is governed by clear, opt-in settings. The data from the Privacy Dashboard logs is completely isolated from any advertising or marketing profiling systems. **Reporter, Future Net Magazine:** The new AI features are impressive. What is the roadmap for further developing the Smart Assistant? Can we expect third-party app integrations in the future? **Elena Vance:** Our vision for the Smart Assistant is to become the primary interface for navigating the Xingmang ecosystem. Our roadmap includes enabling it to handle more complex, cross-platform tasks. Yes, third-party integration is a key strategic priority. We are currently developing a public API for the assistant, which we plan
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