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独立研究员| Researcher | 以技术和商业视角解读区块链前沿科技 | ZK、AI Agent、DePIN ,etc | 硬核科普 | Previously:Amber、PeckShield |DMs for Collab
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How to view the collaboration between Flock and Qwen: Is it a true 'breakthrough' for web3 AI?Yesterday, the DeAI training platform Flock.io in the Web3 AI field officially announced a collaboration with Qwen, a large language model under Alibaba Cloud. If I remember correctly, this should be the first time web2 AI has actively initiated an integrated collaboration with web3 AI. Not only has Flock achieved a meaningful breakthrough, but it has also boosted the morale of the web3 AI track, which has been under pressure. Let me elaborate on this: 1) I have explained in the pinned tweet that previously, web3 AI Agents tried to stimulate the landing of Agent applications through tokenomics and engaged in a fast deployment competitive paradigm. However, after a wave of asset issuance FOMO, everyone realized that web3 AI had almost no chance of winning in practicality and innovation compared to web2 AI.

How to view the collaboration between Flock and Qwen: Is it a true 'breakthrough' for web3 AI?

Yesterday, the DeAI training platform Flock.io in the Web3 AI field officially announced a collaboration with Qwen, a large language model under Alibaba Cloud. If I remember correctly, this should be the first time web2 AI has actively initiated an integrated collaboration with web3 AI. Not only has Flock achieved a meaningful breakthrough, but it has also boosted the morale of the web3 AI track, which has been under pressure. Let me elaborate on this:
1) I have explained in the pinned tweet that previously, web3 AI Agents tried to stimulate the landing of Agent applications through tokenomics and engaged in a fast deployment competitive paradigm. However, after a wave of asset issuance FOMO, everyone realized that web3 AI had almost no chance of winning in practicality and innovation compared to web2 AI.
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Why do A2A and MCP encounter 'incompatibility' dilemmas when meeting web3 AI Agents?If the A2A and MCP protocols launched by Google and Anthropic become the golden communication standards for the development of web3 AI Agents, what would happen? The intuitive feeling is 'incompatibility.' In my view, there are significant differences between the environments faced by web3 AI Agents and the web2 ecosystem, and the challenges encountered in implementing the core communication protocols are also vastly different. 1) Maturity gap in applications: A2A and MCP have quickly gained popularity in the web2 realm because they serve sufficiently mature application scenarios, essentially acting as 'value amplifiers' rather than value creators. In contrast, most web3 AI Agents remain at the primitive stage of one-click publishing, lacking deep application scenarios (like DeFAI, GameFAI, etc.), making it difficult for these protocols to directly interoperate and realize value.

Why do A2A and MCP encounter 'incompatibility' dilemmas when meeting web3 AI Agents?

If the A2A and MCP protocols launched by Google and Anthropic become the golden communication standards for the development of web3 AI Agents, what would happen? The intuitive feeling is 'incompatibility.' In my view, there are significant differences between the environments faced by web3 AI Agents and the web2 ecosystem, and the challenges encountered in implementing the core communication protocols are also vastly different.
1) Maturity gap in applications: A2A and MCP have quickly gained popularity in the web2 realm because they serve sufficiently mature application scenarios, essentially acting as 'value amplifiers' rather than value creators. In contrast, most web3 AI Agents remain at the primitive stage of one-click publishing, lacking deep application scenarios (like DeFAI, GameFAI, etc.), making it difficult for these protocols to directly interoperate and realize value.
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How do you view Vitalik's proposal to transition EVM to RISC-V?A friend asked me how I view @VitalikButerin's radical proposal to replace the Ethereum virtual machine EVM bytecode with the open-source RISC-V instruction set architecture? Essentially, Ethereum is brewing a deep technological transformation led by ZK technology. Let me outline the strategic logic behind it: 1) First of all, Vitalik's proposal to replace the EVM with RISC-V is not actually new. As early as when he proposed the Rollup-Centric expansion strategy, he hinted at similar ideas: allowing eligible layer2s to become the execution layer of the mainnet, while EVM would downgrade from protocol layer to 'in-house' Rollup execution client function layer, becoming one of many AltVMs.

How do you view Vitalik's proposal to transition EVM to RISC-V?

A friend asked me how I view @VitalikButerin's radical proposal to replace the Ethereum virtual machine EVM bytecode with the open-source RISC-V instruction set architecture? Essentially, Ethereum is brewing a deep technological transformation led by ZK technology. Let me outline the strategic logic behind it:
1) First of all, Vitalik's proposal to replace the EVM with RISC-V is not actually new. As early as when he proposed the Rollup-Centric expansion strategy, he hinted at similar ideas: allowing eligible layer2s to become the execution layer of the mainnet, while EVM would downgrade from protocol layer to 'in-house' Rollup execution client function layer, becoming one of many AltVMs.
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Will the MCP+A2A standard be the beginning of the second wave of on-chain AI Agent craze?Recently, there seems to be a sign of recovery in the on-chain AI Agent. MCP, A2A, UnifAI and other protocol standards are complementing and connecting to form a new Multi-AI Agent interaction infrastructure, upgrading AI Agent from a pure information push service to an execution application tool service level. The question is, will this be the beginning of the second wave of AI Agent on-chain spring? 1) MCP (Model Context Protocol): An open standard protocol launched by Anthropic, which essentially connects the "nervous system" of AI models and external tools, solving the interoperability problem between agents and external tools. Google DeepMind has expressed its support for it, making MCP quickly become an industry-recognized protocol standard.

Will the MCP+A2A standard be the beginning of the second wave of on-chain AI Agent craze?

Recently, there seems to be a sign of recovery in the on-chain AI Agent. MCP, A2A, UnifAI and other protocol standards are complementing and connecting to form a new Multi-AI Agent interaction infrastructure, upgrading AI Agent from a pure information push service to an execution application tool service level. The question is, will this be the beginning of the second wave of AI Agent on-chain spring?
1) MCP (Model Context Protocol): An open standard protocol launched by Anthropic, which essentially connects the "nervous system" of AI models and external tools, solving the interoperability problem between agents and external tools. Google DeepMind has expressed its support for it, making MCP quickly become an industry-recognized protocol standard.
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The Collective Plummet of New Coins: Is it a Rebellion Against the VC Industrialized Coin Creation Path?In recent days, some new coins in the secondary market have collectively declined, seemingly reflecting the market's uprising against the current cycle of 'narrative first, then financing, and finally TGE' as a path of VC industrialized coin creation? It is worth contemplating why retail investors are willing to participate in high-risk PVP schemes on-chain, yet keep their distance from new coins endorsed by VCs? 1) First, it must be acknowledged that the previous round of VC-led industry innovation-driven models has evolved into an 'industrial assembly line' of 'financing, issuing coins, and launching.' For a while now, the glamorous white paper narratives + top-tier luxurious investment lineups + seemingly impressive massive financing numbers + king-level expectations of profit-taking have become liquidity harvesting weapons pushed into the market, severely overdrawing market trust.

The Collective Plummet of New Coins: Is it a Rebellion Against the VC Industrialized Coin Creation Path?

In recent days, some new coins in the secondary market have collectively declined, seemingly reflecting the market's uprising against the current cycle of 'narrative first, then financing, and finally TGE' as a path of VC industrialized coin creation? It is worth contemplating why retail investors are willing to participate in high-risk PVP schemes on-chain, yet keep their distance from new coins endorsed by VCs?
1) First, it must be acknowledged that the previous round of VC-led industry innovation-driven models has evolved into an 'industrial assembly line' of 'financing, issuing coins, and launching.' For a while now, the glamorous white paper narratives + top-tier luxurious investment lineups + seemingly impressive massive financing numbers + king-level expectations of profit-taking have become liquidity harvesting weapons pushed into the market, severely overdrawing market trust.
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The market will soon enter a major cycle of 'lowering expectations':The market will soon enter a major cycle of 'lowering expectations': 1) Project builders lower expectations, going from raising tens of millions with valuations in the hundreds of millions to being content with a $100,000 funding round. The mindset is akin to Xiaomi's, where 'survival' becomes the priority; 2) VC investors lower expectations, as the high valuation model driven by FOMO alongside major VCs no longer works. VCs that survive will inevitably return to seeking small yet beautiful innovative technology teams or will engage in Ponzi schemes. Small investments, multiple targets, and quick exits will become mainstream. What? Gathering a group? You need to meet the threshold to do that;

The market will soon enter a major cycle of 'lowering expectations':

The market will soon enter a major cycle of 'lowering expectations':

1) Project builders lower expectations, going from raising tens of millions with valuations in the hundreds of millions to being content with a $100,000 funding round. The mindset is akin to Xiaomi's, where 'survival' becomes the priority;

2) VC investors lower expectations, as the high valuation model driven by FOMO alongside major VCs no longer works. VCs that survive will inevitably return to seeking small yet beautiful innovative technology teams or will engage in Ponzi schemes. Small investments, multiple targets, and quick exits will become mainstream. What? Gathering a group? You need to meet the threshold to do that;
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Reflecting on the Truth Behind the Continued Decline of web3 AI Agents: Is Manus + MCP the Last Straw that Broke the Camel's Back?Some friends say that the continued decline of web3 AI Agent targets such as #ai16z and $arc is caused by the recently popular MCP protocol? At first glance, it’s a bit confusing, WTF does it have to do with it? But after thinking about it, there is indeed a certain logic: the valuation and pricing logic of existing web3 AI Agents has changed, and the narrative direction and product landing routes need adjustment. Below, I will share my personal views: 1) MCP (Model Context Protocol) is an open standardized protocol aimed at allowing various AI LLM/Agents to seamlessly connect to various data sources and tools, equivalent to a plug-and-play USB 'universal' interface, replacing the previously end-to-end 'specific' packaging method.

Reflecting on the Truth Behind the Continued Decline of web3 AI Agents: Is Manus + MCP the Last Straw that Broke the Camel's Back?

Some friends say that the continued decline of web3 AI Agent targets such as #ai16z and $arc is caused by the recently popular MCP protocol? At first glance, it’s a bit confusing, WTF does it have to do with it? But after thinking about it, there is indeed a certain logic: the valuation and pricing logic of existing web3 AI Agents has changed, and the narrative direction and product landing routes need adjustment. Below, I will share my personal views:
1) MCP (Model Context Protocol) is an open standardized protocol aimed at allowing various AI LLM/Agents to seamlessly connect to various data sources and tools, equivalent to a plug-and-play USB 'universal' interface, replacing the previously end-to-end 'specific' packaging method.
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Technical Interpretation of Reddio: Why Can the Parallel EVM Narrative Integrate AI?I read the latest white paper released by @reddio_com, and it indeed merges automated AI execution into the grand narrative of EVM, effectively filling the gap in the entire Ethereum ecosystem in the AI track. It makes a lot of sense. So, why can the parallel EVM seamlessly connect with AI? What are the underlying logic and technical principles? Let me briefly explain my understanding: 1) The narrative of 'parallel EVM' has always been characterized as a critical battle to bridge the gap between the outdated EVM ecosystem and high-performance chain technologies like Solana and Sui. Therefore, the previous market hype around Sei and the $225 million funding from @monad_xyz have pushed parallel EVM to unprecedented heights.

Technical Interpretation of Reddio: Why Can the Parallel EVM Narrative Integrate AI?

I read the latest white paper released by @reddio_com, and it indeed merges automated AI execution into the grand narrative of EVM, effectively filling the gap in the entire Ethereum ecosystem in the AI track. It makes a lot of sense. So, why can the parallel EVM seamlessly connect with AI? What are the underlying logic and technical principles? Let me briefly explain my understanding:

1) The narrative of 'parallel EVM' has always been characterized as a critical battle to bridge the gap between the outdated EVM ecosystem and high-performance chain technologies like Solana and Sui. Therefore, the previous market hype around Sei and the $225 million funding from @monad_xyz have pushed parallel EVM to unprecedented heights.
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A Quick Overview of the Story Ecosystem: What Variables Will the Combination of Korean Wave Culture and AI Agents Bring?Once heavily backed by a16z, Story's token price has performed exceptionally well since TGE, with its FDV soaring to $7 billion, earning it the title of 'web3 Hollywood.' However, many have not considered what variables this combination of Korean Wave power and AI Agents might bring to the Crypto ecosystem. Below, I will share my personal observations. 1. It is evident that Story's TGE launched under a chorus of skepticism, but surprisingly, after its launch, it did not continue the market trend of VC tokens plummeting towards zero. Instead, it became the 'king of market manipulation' for this round of VC new tokens, thus being hailed as 'web3 Hollywood.'

A Quick Overview of the Story Ecosystem: What Variables Will the Combination of Korean Wave Culture and AI Agents Bring?

Once heavily backed by a16z, Story's token price has performed exceptionally well since TGE, with its FDV soaring to $7 billion, earning it the title of 'web3 Hollywood.' However, many have not considered what variables this combination of Korean Wave power and AI Agents might bring to the Crypto ecosystem. Below, I will share my personal observations.
1. It is evident that Story's TGE launched under a chorus of skepticism, but surprisingly, after its launch, it did not continue the market trend of VC tokens plummeting towards zero. Instead, it became the 'king of market manipulation' for this round of VC new tokens, thus being hailed as 'web3 Hollywood.'
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Why is the Pump-style meme asset issuance method considered toxic?I don’t know if you have ever thought about what the 'original sin' that caused this wave of corpses on the chain really is? The answer is the Pump-style meme asset issuance method that everyone knows is toxic, yet still takes a small sip. Initially, the Pump-style internal and external market activation model allowed many small players to win a higher probability of investment returns through sitting still and trial and error. Coupled with the FOMO amplification effect of market sentiment after running out of the external market, the Pump method of issuing assets once became mainstream. But, success comes from Pump, and failure also comes from Pump. The essence of the Pump way of issuing assets is: 1) It is the short-term industrialized production of tokens. This way of issuing tokens focuses on standardized operations, low barriers to entry, and rapid mass production, which leads to most projects issuing tokens without a complete project plan, let alone talk about technological innovation and product landing, focusing solely on mass production, reissuing after a break.

Why is the Pump-style meme asset issuance method considered toxic?

I don’t know if you have ever thought about what the 'original sin' that caused this wave of corpses on the chain really is? The answer is the Pump-style meme asset issuance method that everyone knows is toxic, yet still takes a small sip.

Initially, the Pump-style internal and external market activation model allowed many small players to win a higher probability of investment returns through sitting still and trial and error. Coupled with the FOMO amplification effect of market sentiment after running out of the external market, the Pump method of issuing assets once became mainstream.

But, success comes from Pump, and failure also comes from Pump. The essence of the Pump way of issuing assets is:

1) It is the short-term industrialized production of tokens. This way of issuing tokens focuses on standardized operations, low barriers to entry, and rapid mass production, which leads to most projects issuing tokens without a complete project plan, let alone talk about technological innovation and product landing, focusing solely on mass production, reissuing after a break.
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When @KaitoAI's airdrop feast ended, it was obvious that Yap's voice on Twitter was less, which is actually normal. If you only connect to Kaito for airdrops, you have not realized the value of Kaito's ecological niche: Objectively speaking, Kaito is the attention economy distribution dispatch center (chain) of this round of Crypto Cycle, KOL is the miner/verification consensus branch (node) that supports the operation of this system, $KAITO is the necessary incentive (Tokenomics), Mindshare is the business model of the Kaito network (renting block capacity), and those project parties that join the Kaito ecosystem are actually key customers (Gas consumers). When the MEME assets led by PumpFun are flying all over the sky, the Crypto world is bound to see a war for attention. Imagine that more and more project parties need Mindshare block ownership, which will definitely increase Gas resources to inject economic momentum into the chain. When the block capacity of the chain is gradually saturated, it will inevitably bring very strong commercial value support. Then, as a mining node (KOL), every miner can enjoy lasting commercial dividends. “Platform itself → Attention economy distribution and dispatch center (chain) KOL → Miner/verification node $KAITO → Incentive mechanism (Tokenomics) Mindshare → Business model (block capacity rental) Project party → Customer (Gas consumer)” This is the positive flywheel of the attention flow economy created by Kaito. No one deliberately brushes it, the algorithm is the least challenging, and the business model is the healthiest and most sustainable.
When @KaitoAI's airdrop feast ended, it was obvious that Yap's voice on Twitter was less, which is actually normal. If you only connect to Kaito for airdrops, you have not realized the value of Kaito's ecological niche:

Objectively speaking, Kaito is the attention economy distribution dispatch center (chain) of this round of Crypto Cycle, KOL is the miner/verification consensus branch (node) that supports the operation of this system, $KAITO is the necessary incentive (Tokenomics), Mindshare is the business model of the Kaito network (renting block capacity), and those project parties that join the Kaito ecosystem are actually key customers (Gas consumers).

When the MEME assets led by PumpFun are flying all over the sky, the Crypto world is bound to see a war for attention. Imagine that more and more project parties need Mindshare block ownership, which will definitely increase Gas resources to inject economic momentum into the chain. When the block capacity of the chain is gradually saturated, it will inevitably bring very strong commercial value support. Then, as a mining node (KOL), every miner can enjoy lasting commercial dividends.

“Platform itself → Attention economy distribution and dispatch center (chain)
KOL → Miner/verification node
$KAITO → Incentive mechanism (Tokenomics)
Mindshare → Business model (block capacity rental)
Project party → Customer (Gas consumer)”

This is the positive flywheel of the attention flow economy created by Kaito. No one deliberately brushes it, the algorithm is the least challenging, and the business model is the healthiest and most sustainable.
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Let me share my views on the theft of 1.5 billion yuan in assets from Bybit: 1) Compared with the fragile blockchain ecosystem where there was a security incident almost every three days from 2018 to 2019, we haven't heard of large-scale hacker attacks for a long time, so much so that we have confidence in the overall security deployment capabilities of the dark forest of blockchain. But once the Bybit theft incident broke out, it was discovered that blockchain security issues will always accompany the consolidation and development of the blockchain ecosystem. Smart contract engineering implementation capabilities, local server system deployment capabilities, social engineering security awareness protection capabilities, etc., may be found by hackers at any time. Security weaknesses. Blockchain security issues should never be taken lightly. 2) Bybit has performed very well in spot trading volume, listing market strategy, user activity, etc. in the past year. It is in the process of recruiting troops, expanding its layout, and preparing for the battle. Such an unpredictable attack by hackers will more or less affect the momentum of continued advancement. However, many people in the market compare this with the FTX bankruptcy incident. I think this is a bit too much. For the CEX exchange system, the impact of external security threats is far less fatal than the internal governance risks. Compared with the systemic collapse caused by FTX's "internal troubles", Bybit only needs time to resist external hacker attacks; 3) Many people are panicking that the "unlocking" of 1.5 billion will bring a lot of selling pressure to the market. Based on the experience of previous major hacker attacks, it is only the market confidence that is frustrated in the short term. The disorderly panic withdrawal and selling is the root cause of market fluctuations. It is almost impossible for the huge amount of assets of 1.5 billion US dollars to flow out through CEX. It can only be separated through the mixer and then slowly digested on the chain in 1-3 years. Therefore, the market needs to remain vigilant, but there is no need to panic too much.
Let me share my views on the theft of 1.5 billion yuan in assets from Bybit:

1) Compared with the fragile blockchain ecosystem where there was a security incident almost every three days from 2018 to 2019, we haven't heard of large-scale hacker attacks for a long time, so much so that we have confidence in the overall security deployment capabilities of the dark forest of blockchain.

But once the Bybit theft incident broke out, it was discovered that blockchain security issues will always accompany the consolidation and development of the blockchain ecosystem. Smart contract engineering implementation capabilities, local server system deployment capabilities, social engineering security awareness protection capabilities, etc., may be found by hackers at any time. Security weaknesses. Blockchain security issues should never be taken lightly.

2) Bybit has performed very well in spot trading volume, listing market strategy, user activity, etc. in the past year. It is in the process of recruiting troops, expanding its layout, and preparing for the battle. Such an unpredictable attack by hackers will more or less affect the momentum of continued advancement.

However, many people in the market compare this with the FTX bankruptcy incident. I think this is a bit too much. For the CEX exchange system, the impact of external security threats is far less fatal than the internal governance risks. Compared with the systemic collapse caused by FTX's "internal troubles", Bybit only needs time to resist external hacker attacks;

3) Many people are panicking that the "unlocking" of 1.5 billion will bring a lot of selling pressure to the market. Based on the experience of previous major hacker attacks, it is only the market confidence that is frustrated in the short term. The disorderly panic withdrawal and selling is the root cause of market fluctuations.

It is almost impossible for the huge amount of assets of 1.5 billion US dollars to flow out through CEX. It can only be separated through the mixer and then slowly digested on the chain in 1-3 years. Therefore, the market needs to remain vigilant, but there is no need to panic too much.
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The AI ​​industry will move from "volume models" to "volume applications". When the model itself is no longer a scarce resource, the focus of competition will be on how to implement the model as a tool for AI agents. Therefore, the next AI Agent will take three major directions: 2 segmented application tracks + 1 big infra narrative 1) Defai, a financial service agent, including automated MEV strategy (extending MEV capture rights from miners to ordinary users), dynamic risk management (allowing Agent to automatically adjust mortgage rate, stop loss line, predict black swan), on-chain credit score (analyzing user historical behavior, personalizing DeFi interest rate and pledge rate), etc.; 2) Gamefai, a game service agent, including multi-agent collaborative mini-games (new game paradigm), human + agent gambling interaction (AI pet battle), and game NPC agentization (NPC has memory emotions and growth trajectory, and forms a virtual social relationship with players); 3) Chainization, a web2 AI Agent that connects to the "generalization and modularization" exploration of blockchain infra in the past, including decentralized computing power, data, algorithm platform, Oracle 2.0 adapted to Agent, DA storage that can dynamically manage memory, and interoperability that supports multi-agent collaborative interaction based on chain infra, etc.
The AI ​​industry will move from "volume models" to "volume applications". When the model itself is no longer a scarce resource, the focus of competition will be on how to implement the model as a tool for AI agents. Therefore, the next AI Agent will take three major directions: 2 segmented application tracks + 1 big infra narrative

1) Defai, a financial service agent, including automated MEV strategy (extending MEV capture rights from miners to ordinary users), dynamic risk management (allowing Agent to automatically adjust mortgage rate, stop loss line, predict black swan), on-chain credit score (analyzing user historical behavior, personalizing DeFi interest rate and pledge rate), etc.;

2) Gamefai, a game service agent, including multi-agent collaborative mini-games (new game paradigm), human + agent gambling interaction (AI pet battle), and game NPC agentization (NPC has memory emotions and growth trajectory, and forms a virtual social relationship with players);

3) Chainization, a web2 AI Agent that connects to the "generalization and modularization" exploration of blockchain infra in the past, including decentralized computing power, data, algorithm platform, Oracle 2.0 adapted to Agent, DA storage that can dynamically manage memory, and interoperability that supports multi-agent collaborative interaction based on chain infra, etc.
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Why have celebrity coins 'deteriorated' after TRUMP?In fact, since TRUMP, the meaning of celebrity coins has completely 'deteriorated'. We just need to clarify two facts: 1) The expectation that celebrities outside the crypto circle will bring incremental funds and users is problematic: The reason Trump’s coin attracted attention is not only due to the PVP culture within the crypto community but mainly because of the market's optimism about a series of crypto-friendly policies from the Trump administration. However, the fact proves that issuing MEME coins and implementing crypto policies are two different matters. The president cannot be responsible for coin prices, nor can they introduce real-world credibility endorsements for coin values. We can only regard $TRUMP as a super MEME with a unique 'angle', while presidents and celebrities from smaller countries merely see the crypto space as a 'cash machine'. At least currently, all the expectations that celebrity coins will significantly break into the mainstream are merely wishful thinking; if they get burned, they can only blame themselves.

Why have celebrity coins 'deteriorated' after TRUMP?

In fact, since TRUMP, the meaning of celebrity coins has completely 'deteriorated'. We just need to clarify two facts:

1) The expectation that celebrities outside the crypto circle will bring incremental funds and users is problematic: The reason Trump’s coin attracted attention is not only due to the PVP culture within the crypto community but mainly because of the market's optimism about a series of crypto-friendly policies from the Trump administration.

However, the fact proves that issuing MEME coins and implementing crypto policies are two different matters. The president cannot be responsible for coin prices, nor can they introduce real-world credibility endorsements for coin values.

We can only regard $TRUMP as a super MEME with a unique 'angle', while presidents and celebrities from smaller countries merely see the crypto space as a 'cash machine'. At least currently, all the expectations that celebrity coins will significantly break into the mainstream are merely wishful thinking; if they get burned, they can only blame themselves.
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Research and investment suggestions regarding AI Agents (including interpretations of popular projects):Regarding the research and investment in AI Agents, here are some reference suggestions (including interpretations of popular projects): 1) The AI Agent market is still very early; the overall appearance is still MEME-like. Even valuable incremental projects are cloaked in a MEME exterior, making it difficult to understand a project using traditional value judgment logic. Therefore, when encountering fun, interesting, and innovative projects, the earlier you participate, the better. How much to bet depends on a series of comprehensive factors such as on-chain Holder addresses, community reputation, and overall market value. In short, analyze projects with a 'technical mindset' and invest in projects with a playful 'MEME' attitude.

Research and investment suggestions regarding AI Agents (including interpretations of popular projects):

Regarding the research and investment in AI Agents, here are some reference suggestions (including interpretations of popular projects):

1) The AI Agent market is still very early; the overall appearance is still MEME-like. Even valuable incremental projects are cloaked in a MEME exterior, making it difficult to understand a project using traditional value judgment logic. Therefore, when encountering fun, interesting, and innovative projects, the earlier you participate, the better. How much to bet depends on a series of comprehensive factors such as on-chain Holder addresses, community reputation, and overall market value. In short, analyze projects with a 'technical mindset' and invest in projects with a playful 'MEME' attitude.
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Why is AI Agent said to have DeFi Summer-level industry growth opportunities?In my last article, I shared the logical relationship between AI narratives such as AI DePIN, AI MEME, and AI Agent. However, when exploring the potential Alpha of AI, the question arises: should I choose AI MEME that may come from a conspiracy group with a strong wealth effect but frequently replaced? Should I choose a protocol framework that is still in the early stages of building infra? Or should I choose some cool single AI with specific application scenarios? To be honest, I was confused for a long time. The following are just some superficial opinions: 1) There is no doubt about the big trend. AI Agent is neither an "asset" nor an "application", but a new paradigm of "narrative" in the large-scale blockchain ecosystem.

Why is AI Agent said to have DeFi Summer-level industry growth opportunities?

In my last article, I shared the logical relationship between AI narratives such as AI DePIN, AI MEME, and AI Agent. However, when exploring the potential Alpha of AI, the question arises: should I choose AI MEME that may come from a conspiracy group with a strong wealth effect but frequently replaced? Should I choose a protocol framework that is still in the early stages of building infra? Or should I choose some cool single AI with specific application scenarios? To be honest, I was confused for a long time. The following are just some superficial opinions:
1) There is no doubt about the big trend. AI Agent is neither an "asset" nor an "application", but a new paradigm of "narrative" in the large-scale blockchain ecosystem.
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How should we view Ant Group's financial technology collaboration with Sui Network in the RWA track?It is noteworthy that the tech giant Ant Group is also quietly entering the RWA track, focusing on serving ESG-related new energy assets—a business scenario that requires a large cash flow over a long operational cycle. After Ondo introduced U.S. Treasury bonds and Huma incorporated credit service accounts receivable, Ant Group's financial technology and Sui have cooperated with the intention of capturing the 'heavyweight' application scenarios that demand higher compliance qualifications, have good growth potential, longer launch cycles, and a more specialized investor base in ESG. A brief discussion: 1) The tokenization of real-world assets (RWA) is a necessary entry point for many traditional finance giants to connect with the web3 field, because:

How should we view Ant Group's financial technology collaboration with Sui Network in the RWA track?

It is noteworthy that the tech giant Ant Group is also quietly entering the RWA track, focusing on serving ESG-related new energy assets—a business scenario that requires a large cash flow over a long operational cycle.
After Ondo introduced U.S. Treasury bonds and Huma incorporated credit service accounts receivable, Ant Group's financial technology and Sui have cooperated with the intention of capturing the 'heavyweight' application scenarios that demand higher compliance qualifications, have good growth potential, longer launch cycles, and a more specialized investor base in ESG. A brief discussion:
1) The tokenization of real-world assets (RWA) is a necessary entry point for many traditional finance giants to connect with the web3 field, because:
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FlareNetwork provides smart contract access support for XRP. Will this be the beginning of XRPFi?Interestingly, @FlareNetworks proposed to provide a set of staking services for the XRP network, aiming to allow XRP holders to participate in other web3 application scenarios such as oracles and L2. Many people only saw the continuous surge in $XRP, but they didn’t know that $FLR also followed the 3-fold increase. I can’t help but ask, what is the relationship between Ripple and the Flare network? After BTCFi, will XRPFi also become a new narrative? Next, a brief summary: 1) Ripple XRP is a typical old currency. It was born in 2012 (much earlier than Ethereum). Its goal is to replace the traditional inter-bank SWIFT payment and settlement system and realize high-speed and low-cost cross-border payment applications.

FlareNetwork provides smart contract access support for XRP. Will this be the beginning of XRPFi?

Interestingly, @FlareNetworks proposed to provide a set of staking services for the XRP network, aiming to allow XRP holders to participate in other web3 application scenarios such as oracles and L2. Many people only saw the continuous surge in $XRP, but they didn’t know that $FLR also followed the 3-fold increase. I can’t help but ask, what is the relationship between Ripple and the Flare network? After BTCFi, will XRPFi also become a new narrative? Next, a brief summary:

1) Ripple XRP is a typical old currency. It was born in 2012 (much earlier than Ethereum). Its goal is to replace the traditional inter-bank SWIFT payment and settlement system and realize high-speed and low-cost cross-border payment applications.
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Why you must not miss the AI ​​Agent narrative boom?Why should we not miss this AI Agent narrative craze? Many people still think that AI Agent is just a short-lived hot topic like "AI + DePIN, AI computing power/reasoning aggregation platform, AI MEME". But in fact, I want to say that they are just manifestations of different stages of AI + Crypto integration, and will eventually work together to drive the arrival of the main bull market. Next, let me talk about my views point by point: 1) In general, the narrative logic that AI+Crypto will become the main uptrend of this bull market will not change, because the AGI large-scale model training and the in-depth development of the future multimodal AI industry will place greater and greater demands on traditional computing power, storage, data and other "resources". This means that the AI ​​industry will be very inward-looking and cruel, and monopoly will be inevitable, which will inevitably cause the "spillover" of the innovation needs of some small and medium-sized enterprises.

Why you must not miss the AI ​​Agent narrative boom?

Why should we not miss this AI Agent narrative craze? Many people still think that AI Agent is just a short-lived hot topic like "AI + DePIN, AI computing power/reasoning aggregation platform, AI MEME". But in fact, I want to say that they are just manifestations of different stages of AI + Crypto integration, and will eventually work together to drive the arrival of the main bull market. Next, let me talk about my views point by point:
1) In general, the narrative logic that AI+Crypto will become the main uptrend of this bull market will not change, because the AGI large-scale model training and the in-depth development of the future multimodal AI industry will place greater and greater demands on traditional computing power, storage, data and other "resources". This means that the AI ​​industry will be very inward-looking and cruel, and monopoly will be inevitable, which will inevitably cause the "spillover" of the innovation needs of some small and medium-sized enterprises.
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Interpretation of Zircuit: An Unconventional layer2?Why is @ZircuitL2 considered an unconventional layer2? 1) It is built on the OP Stack codebase but does not belong to the OP superchain camp? 2) It belongs to the OP-Rollup chain but does not highlight fraud proof, with a strong ZK imprint from the name to technical details? 3) It has no apparent connection with the AVS security consensus mechanism yet has given $Eigen stakers an airdrop, etc. Next, let me briefly share my understanding of the Zircuit chain: 1) The OP Stack obviously provides a foundational technical framework for quickly launching layer2, but many chains, including Metis, Mantle, Zircuit, etc., have used the OP Stack codebase technology framework without being incorporated into the Superchain strategic route.

Interpretation of Zircuit: An Unconventional layer2?

Why is @ZircuitL2 considered an unconventional layer2? 1) It is built on the OP Stack codebase but does not belong to the OP superchain camp? 2) It belongs to the OP-Rollup chain but does not highlight fraud proof, with a strong ZK imprint from the name to technical details? 3) It has no apparent connection with the AVS security consensus mechanism yet has given $Eigen stakers an airdrop, etc. Next, let me briefly share my understanding of the Zircuit chain:
1) The OP Stack obviously provides a foundational technical framework for quickly launching layer2, but many chains, including Metis, Mantle, Zircuit, etc., have used the OP Stack codebase technology framework without being incorporated into the Superchain strategic route.
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