Threadcast link:
@taskmaster4450/re-leothreads-vefqtyww
Link to recording:
https://x.com/i/spaces/1YpKklQXkNyGj
Speakers
DISCLAIMER: The following has been generated by AI (Claude-3.5) based on the publicly available recording of the livestream. Because the content is AI generated it may contain errors, so please keep that in mind when reading. Feel free to suggest corrections and/or add additional information/improvements in the comments. Read more: Introduction post for the AI Summaries project
Skins and Targeting Crypto Communities
The main topic of discussion was the recent introduction of "skins" on the InLeo platform. Skins are essentially visual overlays that allow InLeo to cater to different communities, starting with the crypto space.
The idea behind skins is to provide a customized experience for users, where the branding, color scheme, and even the monetary denomination (e.g. Dash, Bitcoin, Ethereum) can be tailored to specific communities. This allows InLeo to target and onboard users from different crypto ecosystems, offering them the ability to earn rewards in their preferred cryptocurrency.
The speaker highlighted that the integration with Dash was a proof of concept for this skin functionality. Dash users can now sign up on InLeo, earn rewards in Dash, and engage with the Dash community within the InLeo platform. This is significant because the crypto world is largely confined to Web 2.0 platforms like Twitter and Facebook, with limited options for earning crypto rewards.
The speaker suggested that the next logical step would be to target the Bitcoin and Ethereum communities, as they represent the largest crypto markets. However, he noted that the integration with these blockchains may present some technical challenges, such as the high transaction fees on the Bitcoin network.
Feeding the LeoAI Database
A major focus of the discussion was the importance of feeding data into the LeoAI system, the artificial intelligence component of InLeo. The speaker emphasized that data is the foundation for AI, and the more information that is added to the Hive blockchain, the more LeoAI can learn and improve.
The speaker highlighted several ways in which users can contribute to the LeoAI database:
Threadcasts: Brando's daily Threadcasts, which cover a variety of crypto-related topics, are an excellent source of information for LeoAI.
AI Summarizer: The AI Summarizer tool, developed by Mightpossibly, can automatically summarize YouTube videos and add the transcripts as threads on InLeo, further enriching the LeoAI database.
Diverse Content: Users should aim to contribute content on a wide range of topics, from travel and history to recipes and motivational content. This diverse data will allow LeoAI to develop a more comprehensive understanding of the world.
Leveraging Other AI Models: The speaker suggested that users could copy and paste responses from other AI models, such as ChatGPT, into InLeo threads, as this would also feed into the LeoAI database.
The speaker emphasized that the more data that is added to the Hive blockchain, the more valuable LeoAI will become, as it can recognize patterns and provide increasingly accurate and relevant information to users.
The Future of AI Agents and Automation
The discussion also touched on the potential for AI agents and automation to enhance the InLeo platform. The speaker suggested that in addition to a travel agent, InLeo could potentially develop financial, motivational, and engagement agents that could interact with users and provide personalized recommendations and insights.
The speaker highlighted the power of AI as a force multiplier, noting that even simple AI agents that can read comments and ask questions could significantly increase engagement and generate more data for the LeoAI system.
The speaker also discussed the democratization of data, emphasizing that the information on the Hive blockchain is publicly accessible, unlike data stored on centralized platforms like Facebook or YouTube. This open access to data presents opportunities for anyone to build AI-powered applications and services on top of the InLeo ecosystem.
Overall, the discussion provided a comprehensive overview of the recent developments in the InLeo platform, the importance of building the LeoAI database, and the potential for AI-powered automation and agents to enhance the user experience and drive further growth and adoption.