Как научить ИИ писать в вашем стиле: система контента с Claude и Obsidian
The speaker explains how to export content from a Telegram channel using the desktop version of Telegram to gather posts for content analysis. They recommend using the desktop version over mobile apps because it offers more functionality and export capabilities.
Summary
The speaker demonstrates a process for extracting content from a Telegram channel that contains a mix of text and video posts. They emphasize the importance of using Telegram's desktop version rather than mobile applications, explaining that the desktop version can be downloaded from the official Telegram website and offers more software-like functionality compared to standard mobile or OS applications. The export process involves navigating to the channel, accessing a three-button menu, and selecting 'export chat history.' The speaker details the export configuration, noting that they disable most options and focus specifically on JSON format for the file output. They configure the export to include all messages from the channel's inception to the current date. The speaker mentions that this export process typically takes 4-5 minutes to complete, though they don't execute it during this demonstration. This appears to be part of a larger workflow for analyzing or working with content data, likely related to training AI systems to understand writing styles based on historical posts.
Key Insights
- The speaker claims that Telegram's desktop version provides more functionality than mobile applications and resembles software more than typical OS applications
- The speaker demonstrates that Telegram channels can export their entire message history in JSON format through a simple three-step process
- The speaker reveals that the export process for complete chat history typically requires 4-5 minutes to complete
Topics
Full transcript available for MurmurCast members
Sign Up to Access