Telegram

While X provides breadth, Telegram offers depth—private, persistent, and highly contextual conversations that reveal how users think, communicate, and collaborate in everyday settings. Hive.AI integrates with Telegram through an official bot that allows users to contribute meaningful, opt-in training data directly from their chats.

Unlike public platforms, Telegram data is designed for personalized AI assistant training. Users are given granular control over what information is shared and how it is processed. The integration enables:

• Tagging of individual messages or entire threads across private, group, or channel chats.

• Manual selection of conversation segments, time ranges, or context windows to include in training.

• Automatic encryption and anonymization of content before submission to ensure confidentiality.

• Dashboard controls for monitoring what data has been shared, managing permissions, and deleting contributions at any time.

This personal data layer is used to fine-tune lightweight, privacy-preserving AI models using LoRA (Low-Rank Adaptation) techniques. These models capture a user’s tone, intent, and language style—enabling the deployment of Telegram-native AI assistants that are context-aware, task-capable, and uniquely aligned with the user’s communication habits.

With this architecture, Hive.AI ensures that personal data never becomes a public asset; instead, it remains under full control of the individual while fueling intelligent agents tailored specifically for them.

Together, X and Telegram form the dual input channels of Hive.AI’s decentralized data pipeline—bridging public knowledge and private insight. This design allows Hive.AI to generate AI systems that are both globally aware and personally intelligent, with integrity, transparency, and community agency at every step.