Summary: Lion's Den – January 31, 2025

in #aisummaries21 hours ago

Threadcast link:
https://inleo.io/threads/view/taskmaster4450/re-leothreads-2j4vaajsc

Link to recording:

Speakers

@taskmaster4450


DISCLAIMER: The following has been generated by AI 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


The Multifaceted Nature of LeoAI

The host began by explaining that LeoAI is a multifaceted umbrella that encompasses more than just a chatbot. While a chatbot functionality will certainly be part of LeoAI, the platform will also integrate image generation capabilities, and eventually video generation as the technology advances.

The host emphasized that it's important to think of LeoAI as a suite of AI services, not just a single chatbot. This includes features like co-pilot tools, recommendation engines, and other AI-powered applications that can be integrated into the broader LeoAI ecosystem. The host drew parallels to how social media platforms continually add new features, and said a similar approach will be taken with LeoAI's AI services.

The Importance of Data for AI Development

A key point made was that social media is no longer a destination, but rather a pathway to obtain valuable data. The host noted that tech giants like Meta, Google, and OpenAI have a significant advantage due to the massive amounts of user-generated data they can leverage to train their AI models.

In contrast, OpenAI's ChatGPT is limited by its training data cutoff date, as it lacks the ability to continuously ingest new information like the data available on the Hive blockchain. The host emphasized the importance of having a steady flow of up-to-date data to power advanced AI capabilities.

Venice AI and the Tokenization of AI Services

The host then discussed the Venice AI chatbot, which was developed by the founder of ShapeShift. Venice AI is notable for its focus on privacy and its use of open source language models like Llama. Importantly, Venice AI has its own token, VVV, which has a current market cap of $142 million.

The host viewed this as a significant data point, as LeoAI currently has an almost non-existent market cap in comparison. He suggested that the tokenization of AI services, similar to Venice AI's approach, could be a model that LeoAI explores to drive engagement and value capture.

The Potential of Decentralized AI Platforms

The host emphasized that decentralized platforms like Hive and LeoAI have a key advantage - the ability to continuously ingest new data from their communities. He encouraged users, especially those in underrepresented regions, to contribute local content and information to the Hive blockchain, as this data can then be leveraged to enhance LeoAI's capabilities.

The host also discussed the potential for AI agents to automate the process of ingesting and organizing data from various sources, further expanding the information available to LeoAI's vector database.

The Evolving AI Landscape and Implications for LeoAI

The host provided an overview of recent developments in the AI space, including the release of DeepSeek, Momo, and Owen - models that have been benchmarked as comparable or potentially superior to DeepSeek. He stressed that the AI landscape is rapidly evolving, with new breakthroughs and models emerging at a rapid pace.

While LeoAI may not directly compete with large language models like ChatGPT, the host believes that the platform's ability to continuously ingest up-to-date data from the Hive blockchain gives it a unique advantage. He also discussed the potential for LeoAI to integrate a staking-based system to unlock advanced AI services, similar to Venice AI's VCU model.

Conclusion

The host concluded by emphasizing the enormous potential for LeoAI, given the growing importance of AI and the value capture opportunities presented by tokenization. He encouraged the community to continue contributing content to the Hive blockchain, as this data will be crucial in powering LeoAI's future AI services and driving the platform's growth.

Posted Using INLEO