Threadcast link:
https://inleo.io/threads/view/taskmaster4450/re-leothreads-2gdjorzci?referral=taskmaster4450
Link to recording:
Speakers
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
Tokens as the Building Blocks of AI
The episode began with the host reading an excerpt from a speech by NVIDIA CEO Jensen Wong, who emphasized the importance of "tokens" as the fundamental units powering the next generation of AI. Tokens refer to the quantifiable data elements that AI models are trained on, whether that be text, images, video or other digital content.
The host explained that the concept of tokens originated in data science, before being co-opted by the cryptocurrency space. In the context of AI, tokens represent the raw data that is fed into machine learning models to enable them to learn and generate new content. The host highlighted that NVIDIA's focus on tokens as the "building blocks of AI" signals their recognition of data as the key driver of AI advancement.
The Importance of Data on the Hive Blockchain
Building on this, the host discussed the AI summary agent built by Khal, which automatically generates text summaries of YouTube videos and posts them as threads on the Hive blockchain. The host noted that this agent has generated over 28 million tokens worth of content in just two months, underscoring the vast amounts of data that can be accumulated and leveraged for AI training.
The host emphasized that the Hive blockchain's ability to capture and store this type of user-generated content gives it a unique advantage over centralized platforms like Google and Meta, which rely on more limited data sources. By feeding this data into AI models, the Hive ecosystem can develop specialized agents and services tailored to particular niches and use cases.
Expanding AI Capabilities on Hive
The host then discussed plans to expand the AI capabilities on Hive through the "News2Threads" feature, which will allow users to input article URLs from various news sources, triggering the creation of summarized thread posts. This, the host argued, will help address the current lack of up-to-date news and information available on the Hive platform, making it a more comprehensive source of data for AI training and development.
Additionally, the host revealed that there are other teams working on building fundamental AI systems directly on the Hive blockchain, beyond just front-end applications. This suggests that Hive is positioning itself as a platform for the core infrastructure of the next generation of AI, rather than just a user-facing interface.
The Risks of Centralized AI Development
The host expressed concerns about the concentration of AI development and data control in the hands of large tech giants like Meta, Google and OpenAI. He argued that these companies have demonstrated a willingness to manipulate and censor information to serve their own interests, posing risks to free speech and the objective development of AI.
In contrast, the host believes platforms like Hive, which are built on decentralized blockchain technology, can provide a more democratic and transparent foundation for AI development, where the data and models are not controlled by a single entity. This, he argued, is crucial for ensuring AI systems are aligned with the interests of humanity as a whole, rather than the agendas of powerful corporations.
Overall, this episode highlighted the central role of data and tokens in the future of AI, and positioned the Hive blockchain as a promising platform for building the next generation of decentralized, user-empowered AI applications and services.
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