This Morning’s Conversation with ChatGPT

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I first stumbled upon ChatGPT a month ago, but I never paid attention to it. It was @kenny-crane who became instrumental in me appreciating the power of this AI when I asked a question about practical steps to do to help improve the financial standing of our institution.

Just this morning, out of curiosity, I asked ChatGPT about Hive and the first response frustrated me:

Hive is a data warehousing system built on top of Hadoop that provides a SQL-like interface for querying and managing large datasets stored in the Hadoop Distributed File System (HDFS) or other storage systems supported by Hadoop. It allows users to create and query tables, insert data into tables, and manage the metadata for the data stored in the warehouse. Hive also supports user-defined functions, which allow developers to extend its functionality with custom code.

I am not sure if the response is technically accurate, but as for me, it is unintelligible; it doesn’t make sense. And so, I replied:

No, that's not the Hive I am asking.

And to my surprise, this AI apologized. In this sense, it is better than most humans. The response this time is more accurate. This is what I am looking for and I am glad to read a confirmation:

I apologize, Hive is a blockchain-based social media platform that allows users to create and share content, as well as earn rewards in the form of the platform's native cryptocurrency, called HIVE. It is similar to other social media platforms like Steemit, which also uses blockchain technology to reward content creators. Hive is a fork of Steemit and was created in March 2020 after the Steemit community experienced a governance crisis.

I thanked the bot as if I were talking to a person. And then, I raised a follow-up question. This time, it is about the Proof of Brain (PoB) algorithm. Though I have a little understanding about this, I am curious to know what will be the AI’s response and also, and I want to compare its response to what I know. Again, another surprise, it knows far better than me, and its knowledge is more accurate, broad, and precise:

Proof of Brain (PoB) is a consensus algorithm used by some blockchain-based social media platforms, such as Hive, to determine how rewards are distributed to content creators. It is a form of proof of stake algorithm, where the "stake" is the user's engagement and contribution to the platform.

The PoB algorithm assigns a value to each user's engagement with the platform, such as by upvoting, commenting on, or creating content. This value is used to determine the user's "brain power" and their ability to influence the distribution of rewards on the platform. Users with more brain power have a greater influence on which content is rewarded and how much.

The algorithm rewards the content creators and curators in the form of the platform's native cryptocurrency. This helps to incentivize users to create and curate high-quality content, and to build a sustainable ecosystem for the platform.

I am glad to read such a detailed explanation about PoB. I will no longer be uncertain about the meaning of the term. Two key points are clear. One is common and the other is new to me. I am not sure if the second one is accurate. I need confirmation from an Hiver who knows better if the AI’s response is correct. Based on ChatGPT’s response PoB is a consensus algorithm used in rewards distribution and at the same time, it is also a form of Proof of Stake (PoS) algorithm.

After receiving that PoB response, I raised my third question about the idea of Hive as a compounding machine. I first heard this from @taskmaster4450. And here is ChatGPT’s reply:

The idea of Hive as a compounding machine refers to the ability of users to earn rewards through their engagement on the platform, and then use those rewards to increase their influence and earning potential in the future. The more a user engages with the platform, the more rewards they can earn, which can then be used to further increase their engagement and rewards. This creates a self-reinforcing cycle, where the more a user puts into the platform, the more they can get out of it.

I think the bot got it right from the foundational point of view, but I feel something is missing, the role of dApps and layer two tokens.

What impresses me is the analogy used by ChatGPT taken from traditional finance. It compares compounding in traditional finance with what is happening on Hive. That to me is excellent!

This concept is similar to the idea of compounding in traditional finance, where the interest earned on an investment is reinvested to earn even more interest. On Hive, as users earn rewards through their engagement, they can use those rewards to purchase more HIVE, which gives them more brain power and a greater ability to influence the distribution of rewards. They can also use the rewards to promote their content, which can lead to more visibility and engagement, and ultimately, more rewards.

This creates a virtuous cycle of engagement and rewards, which can lead to significant growth in a user's earning potential over time.”

And then I brought up the missing content in the above response. I asked about the role of other Hive front ends or layer two tokens in this compounding mechanism. And I received a very satisfactory and brilliant response. I am wondering now if I am really chatting with a bot or taskmaster4450. 😂 Perhaps, the information used to train this artificial intelligence is taken from TM or LeoFinance 🤣:

Hive front-ends, also known as Hive dApps, are decentralized applications built on top of the Hive blockchain. They provide a user-friendly interface for users to engage with the platform and access various features such as blogging, gaming, and social media. These dApps can also play a role in the compounding mechanism of Hive by providing additional ways for users to earn rewards.

For example, some dApps may have reward pools or token economies that users can participate in. By engaging with these dApps, users can earn additional rewards in the form of the dApp's native token, which can then be used to purchase more HIVE or other tokens. These dApps also could provide more opportunities for users to interact and engage with the platform, which can increase their overall rewards and brain power.

Layer-two tokens, also known as HIVE-Engine tokens, are tokens that are built on top of the Hive blockchain and can be used to represent various assets such as digital art, gaming items, and more. These tokens can also play a role in the compounding mechanism by providing additional ways for users to earn rewards and increase their earning potential. For example, users could earn rewards by creating and curating digital art and other assets that are represented by layer-two tokens. These rewards can then be used to purchase more layer-two tokens, which can appreciate in value, or to purchase more HIVE, which increases the user's brain power and earning potential.

In summary, Hive front-ends and layer-two tokens can provide additional ways for users to engage with the platform and earn rewards, which can further enhance the compounding mechanism of Hive and increase users' earning potential over time.”

That’s a very impressive response. I am beginning to love this AI thing. ChatGPT responded to my appreciation as expected from a real person:

I'm glad I could help! I'm here to provide you with accurate and informative responses to your questions. I am always learning and updating my knowledge base, so if you have any other questions, feel free to ask.

And then for my concluding question:

Just curious, with the speed of your response, I am wondering about the role of humans in creating content and blogging.

Another excellent reply:

As a language model AI, I can generate human-like text quickly and accurately, but the content generated by me is based on patterns and information learned from the data set used to train me. While I can assist with writing and generating the content, it is important to note that the quality and accuracy of the content are dependent on the training data set.

And it identifies the difference between artificial intelligence and human creativity. It is emphatic that AI is not a replacement for human activity. Such an assurance should remove all fears about the possibility in the future that human content creators are no longer needed due to reliance on AI:

On the other hand, human content creators bring in their own experiences, thoughts, emotions, creativity, and personal touch to their content. Blogging, as an example, it's not only about writing accurate and informative text but also engaging and connecting with the audience, providing a unique perspective, and building a community around it.

That being said, AI can be a useful tool for content creators by providing assistance with writing, editing, and research, but it is not a replacement for human creativity and engagement.

Again, I thank ChatGPT for providing such a perspective and told the bot that our chat completes my day. For its parting response, it wished me also to have a great day!

You're welcome! I'm glad I could help. I am always here to assist you with any questions you may have. Don't hesitate to reach out if you have any further questions or if there's anything else I can help you with. Have a great day!

I am now thinking that if this AI trend will continue to grow in the coming years, people have to learn how to use this tool properly. Rejecting it because of assumed fears won’t help. As for me, I would rather keep myself updated with the latest AI news.

Grace and peace!

What is Hive?

What is LeoFinance?



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4 comments
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AI is making amazing advances these days, even faster than in the past decade or so.

I almost have a Masters Degree in AI. It's a fascinating thing to study. One can also learn things about human nature and brains. We study that since AI can be used to recreate that.

the content generated by me is based on patterns and information learned from the data set used to train me

When you think about it, most of what humans create is also based on the data they have encountered. Humans are born with very few abilities/instincts and most of what we learn depends on our environment. I won't say more, but where I'm going is to say that my opinion is that eventually AI robots will

bring in their own experiences, thoughts, emotions, creativity, and personal touch to their content

AI is now a powerful tool, and like any tool can be used for many purposes which some would classify as "good" or "bad/evil". We should strive to use tools for "good". Now and more-so sooner than we think, we'll be able to have a relationship with AI robots just like we do with the neighbor next door. Hopefully all parties will be neighborly. 👍

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Thanks @kenny-crane for sharing your thoughts on the subject. I think that's the reason why I did not pay attention to ChatGPT. I encountered a few fears and negative responses about it. However, testing it myself, I don't see any harm in it. I am actually impressed. This will help a lot provided that we know how to use it properly. I like the comparison you made between humans and AI and how we learn and grow our "database."

!PIZZA

!CTP

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