Data Is The New Oil And Hive Is Starting To Use It
There are a couple of initiatives that are going to move to the next level.
We already heard of LeoAI and how over 1 million threads were fed into the learning engine.
In this video I discuss how we are seeing another initiative that is going to follow a similar path. This will be explained in an article. However, this provides into sight where things could potentially be going.
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I hope there is A hive.blog powered LLM even more advanced than InLEO AI.
It is good to hear that people are continuing to develop. During the bear, it felt like not a lot of products were rolled out, so seeing a lot of updates now is really encouraging.
If data is the new oil, how can we start "mining" it?
yes! that is a great idea, we need more marketing though to get people here!
Glad to see that hive is really setting the golden standard for the future and what to come and I am so sure this is just the beginning
Summary:
In this video, the host discusses the importance of data on the Hive blockchain and the potential opportunities it presents, particularly in the realm of artificial intelligence (AI). He highlights two initiatives that are leveraging Hive data to develop AI-powered applications - LeoAI and another unnamed project.
The host explains that these initiatives are aiming to train large language models (LLMs) on the data available on the Hive platform, which could lead to the creation of personalized chatbots and improved search capabilities tailored to the Hive ecosystem. He suggests that this could disrupt traditional search engines like Google, as users may prefer to interact with specialized chatbots that can provide more relevant and up-to-date information.
The host emphasizes the importance of Hive's permissionless database, which allows anyone to access and utilize the data, potentially benefiting smaller companies and startups that may not have the resources to obtain data from larger tech giants. He argues that this could lead to a multitude of network effects and transform the Hive ecosystem beyond just blogging for money.
The host also discusses the potential impact of integrating AI into the Hive platform, using his own project, LeoGlossary, as an example of how expanding the content can feed into these AI engines, potentially enhancing their capabilities and improving the overall user experience.
Ultimately, the host encourages the Hive community to adopt a technology-focused mindset and to emulate the strategies of successful tech leaders, such as Elon Musk and Sam Altman, in order to drive innovation and progress within the Hive ecosystem.
Detailed Article:
Taskmaster4450, the host of the video, begins by highlighting the importance of data on the Hive blockchain, which he believes is often overlooked. He mentions that he had previously shared a thread on the topic, asking why more people on Hive aren't focused on producing more data, given that "data is the new oil."
The video is triggered by the mention of LeoAI, an initiative by the Leo team that is using an assortment of data from its platform to feed into an AI system. While this project is not yet released or accessible, the host reveals that there is another, unrelated initiative that is also working on using Hive data for AI development.
The host explains that these two projects are aiming to take the Hive database and feed it into machine learning engines, allowing them to train their models on the content and activities within the Hive ecosystem. He is unsure of the specific base models being used, whether they are based on Llama or Grok, but he believes that the choice of model is not as important from an end-user perspective.
The host sees this as a significant opportunity for Hive, as it allows for the creation of new services that can be integrated into the platform's user interfaces (UIs). He draws a comparison to the integration of Grok into Twitter, where it is being used as a value-added feature for Twitter Blue (or Twitter Premium) subscribers.
The host suggests that Hive could potentially offer similar AI-powered services, which could be monetized through the platform's built-in payment system, HBD. He envisions users being able to pay a monthly fee, such as 10 HBD, to access these AI-driven features, which could include improved search capabilities and better metrics for content creators.
The host believes that the integration of AI into Hive could disrupt traditional search engines, as users may prefer to interact with specialized chatbots that can provide more relevant and up-to-date information based on the data within the Hive ecosystem. He argues that this could be particularly beneficial for smaller companies and startups that may not have the resources to obtain data from larger tech giants like Google or Meta.
The host uses his own project, LeoGlossary, as an example of how expanding the content on Hive can feed into these AI engines, potentially enhancing their capabilities and improving the overall user experience. He suggests that as the LeoGlossary grows, it could become one of the main trainers for these AI systems, further strengthening the Hive ecosystem.
The host emphasizes that the Hive community needs to adopt a technology-focused mindset and emulate the strategies of successful tech leaders, such as Elon Musk and Sam Altman, in order to drive innovation and progress within the Hive ecosystem. He believes that this shift in perspective is crucial, as Hive is fundamentally a technology platform and should be approached as such.
In conclusion, the host stresses the importance of data on the Hive blockchain and the potential opportunities presented by the integration of AI-powered applications. He encourages the Hive community to embrace this technological shift and to work towards leveraging the platform's unique capabilities to create new and innovative services that can benefit both users and the ecosystem as a whole.