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anymose🐦⬛
a boring web3 author
著《从零开始读懂Web3》 | 《NFT极简入门》 |《AIGC极简入门》
公众号:外部小山
OpenChat: The Ultimate Engine of the Open Octopus AI World
The OpenLedger mainnet is about to launch, and the official Twitter recently leaked a demo video of the OpenChat feature, showcasing basically all its functionalities. I watched it a dozen times and finally understood the ambitious vision of the little octopus.
It will become a gateway-level application for the mainnet, perfectly integrating the PoA model into the ecosystem, and there’s more...
Let’s dive in!
⬇️
What is OpenChat?
In simple terms, it’s a "decentralized, 100% on-chain, money-making ChatGPT or Github"; of course, that sounds a bit too simplistic, as making money is just a surface phenomenon. While other AI tools are charging fees, restricting usage, OpenLedger has evolved into a transparent, open platform that rewards contributors.
So OpenChat is a decentralized platform where people can build, share, interact with AI, and receive on-chain proof and incentives. OpenChat is the on-chain messaging and coordination layer of @OpenledgerHQ, serving as our communication platform in the decentralized AI world.
How does PoA work?
PoA: Proof of Attribution, literally translated as "Attribution Proof"; I previously suggested translating it as "Reward Proof" for better understanding. OpenChat can permanently record all your actions on-chain, which can be verified. Users who validate that your contributions are valuable will receive token incentives. These actions may include:
▰ Chat content with AI
▰ Uploaded datasets
▰ Optimized models
▰ Self-created prompts or code
Contributors can earn tokens and other types of rewards based on the value and impact of their work, truly a "contribution mining" concept.
What can I do with OpenChat?
Make money (not really. Making money is definitely possible, but in terms of interaction, OpenChat can support many tasks.
At its simplest, it can be used as an AI assistant for asking questions, similar to ChatGPT, but it is open and decentralized; you can also correct, remind, or tag the AI's responses, contributing knowledge on specific topics or questions. All of this is public collaboration, can be forked, and mixed, with ways to trace data back to its source on-chain.
At a higher level, you can share AI models, upload fine-tuned, optimized models or training datasets, enriching and enhancing OpenChat.
What does OpenChat mean for the little octopus?
That’s a good question, one I ask and answer myself. Personally, I feel that OpenChat essentially expresses about 50% of what Openledger aims to achieve through a small product, similar to an MVP but genuinely usable. As the mainnet launches, rather than extensively introducing its technology, it’s better to have a usable product that allows users to understand the big goals through their experience with the product.
Chatting, building, sharing, and receiving incentives—the more people participate, the richer the data, the more abundant the on-chain proof, and the more incentives there are, leading to more users and developers. This is the little octopus's flywheel strategy.
This is a soft-core popular science article, and through this text, you can gain a basic understanding of the following knowledge:
▰ What is PoA
▰ Core interpretation of OpenChat
▰ Revealing the true mouth-licking mining tool (not really)
Author: anymose | A soft-core popular science writer <End of full text>
* This article is for informational purposes only and does not constitute any investment advice. Always remember to DYOR!

10,9K
OpenChat: The Ultimate Engine of the Open Octopus AI World
The OpenLedger mainnet is about to launch, and the official Twitter recently leaked a demo video of the OpenChat feature, which is very interesting as it basically demonstrates all the functionalities. I watched it a dozen times and finally understood the ambitious goals of the little octopus.
It will become a gateway-level application for the mainnet, using the most familiar interaction methods to perfectly integrate the PoA model into the ecosystem, and there’s more...
Let’s dive in!
⬇️
What is OpenChat?
In simple terms, it’s a "decentralized, 100% on-chain, money-making ChatGPT or Github"; of course, that’s a bit too simplistic, as making money is just a surface phenomenon. While other AI tools are charging fees, restricting usage, and asking for payment, OpenLedger has evolved to be transparent, open, and rewarding those who contribute.
So OpenChat is a decentralized platform where people can build, share, interact with AI, and receive on-chain proof and incentives. OpenChat is the on-chain messaging and coordination layer of @OpenledgerHQ, serving as our communication platform in the decentralized AI world.
How does PoA work?
PoA: Proof of Attribution, literally translated as "Attribution Proof"; I previously suggested translating it as "Reward Proof" which I feel is easier to understand. OpenChat can permanently record all your actions on-chain and make them verifiable. Users who validate that your contributions are valuable will receive token incentives. These actions may include:
▰ Chat content with AI
▰ Uploaded datasets
▰ Optimized models
▰ Self-created prompts or code
Contributors can earn tokens and other types of rewards based on the value and impact of their work, truly a "contribution mining" concept.
What can I do with OpenChat?
Make money (not really. Making money is definitely possible, but specifically, OpenChat can support many tasks.
At its simplest, it can be used as an AI assistant for asking questions, similar to ChatGPT, but it is open and decentralized; you can also correct, remind, or tag the content AI responds with, contributing knowledge on specific topics or questions. All of this is open collaboration, can be forked, and mixed, with ways to trace data back to its source on-chain.
At a higher level, you can share AI models, upload fine-tuned, optimized models or training datasets, allowing OpenChat to become richer and more precise.
What does OpenChat mean for the little octopus?
That’s a good question, one I ask and answer myself. Personally, I feel that OpenChat basically expresses 50% of what Openledger aims to achieve with a small product, similar to an MVP but genuinely usable. As the mainnet launches, rather than extensively introducing its technology, it’s better to have a usable product that allows users to understand the big goals through their experience with the product.
Chatting, building, sharing, and receiving incentives; the more people participate, the richer the data, the more abundant the on-chain proof, and the more incentives there are, leading to more users and developers. This is the little octopus's flywheel strategy.
This is a soft-core popular science article, through which you can gain a basic understanding of the following knowledge:
▰ What is PoA
▰ Core interpretation of OpenChat
▰ Revealing the true mouth-licking mining artifact (not really)
Author: anymose | A soft-core popular science writer <End of full text>
* This article is for informational purposes only and does not constitute any investment advice. Always remember to DYOR!

461
The old public chains that refuse to lie flat rely on three strategies for revival.
I like using Kaito to observe social sentiment, Defillama to track capital flows, and DappRadar to monitor user activity.
From my observations, @SonicLabs, @Aptos, and @NEARProtocol, these established public chains are all working hard, but many people are still unaware.
Let’s dive in!
⬇️
Blood transfusion, repositioning, and reducing inflation—these are the three strategies I’ve summarized for the revival of old public chains. I’ve already introduced Sonic and Aptos, and now Near is also starting.
As a first-generation high-performance public chain, sharding technology has always been Near's pride. Fast speed and low costs are great, but they also bury a hidden danger: high inflation.
In simple terms, because the gas fees are low, the actual tokens destroyed are much smaller than those issued, leading to an oversupply, inflation occurs, and large holders lie flat to earn interest while the ecosystem collectively retires and does nothing.
Data shows that Near has a fixed inflation rate of 5% per year, far exceeding the expected 2-3%. Due to the extremely low transaction fee burn rate of only 0.1%, the actual net inflation rate reaches as high as 4.9%. Approximately 60 million $NEAR tokens are added each year, with staking yields as high as 9%.
So, what’s the result? Prices keep falling, token value is diluted, holders prefer to stake rather than engage in DeFi, and ecosystem projects are abandoning ship, starting a vicious cycle.
Fortunately, they haven’t given up and are still working hard. They’ve now proposed a voting proposal to reduce emissions, and I’ll summarize the key points:
▰ Maximum inflation rate reduced from 5% to 2.5%
▰ Combined with a 0.1% fee burn rate, the actual inflation rate will drop to about 2.4%
▰ Maintain a fixed maximum inflation rate for easier community understanding and regular adjustments through voting
If the proposal passes, NEAR will achieve a lower inflation rate, reduce token dilution, enhance token value potential, incentivize DeFi participation, and align with the inflation models of leading blockchains, strengthening long-term competitiveness and community confidence.
However, there’s also a huge challenge; it will disrupt the existing benefits. What to do? Reducing emissions will inevitably lead to lower staking interest. If large-scale unstaking and selling occur, price volatility will be severe, and security will also be affected. I saw in the discussions that they mentioned increasing time weight, controlling the yield between 4% - 11%, meaning the longer you stake, the higher the rewards.
This should be a great idea, but we’ll have to see how it’s executed. If you hold $NEAR, you can vote and discuss here:
Voting address:
Voting ends in 7 days, and currently, 36.16% agree. To pass, it needs to reach 66.67%, so we can observe the results.
/
The Near Foundation is very determined and knows how to create buzz. I felt that shifting the chain's focus towards AI was quite reliable, but when discussing whether to invest in $NEAR with the experts, there were many concerns, mainly about the inflation we talked about today.
I will keep an eye on it. If it passes, it should be a big deal, similar to the new protocol we discussed earlier, @rhea_finance, which is definitely worth watching as recent data is surging.
This is a soft-core popular science article. Through this article, you can gain a basic understanding of the following knowledge:
▰ Three strategies for the revival of old public chains
▰ Near's strategy to solve high inflation
▰ Betting on the Near ecosystem (not
Author: anymose | A soft-core popular science writer <End of full text>
* This article is for informational purposes only and does not constitute any investment advice. Always remember to DYOR!

48,88K
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