[Ethereum Section]

Increase validator balance limit

Translation: Previously, 32 ETH = 1 validator (validators are like mining machines), now raised to 2048 ETH. It used to require queuing to deposit or withdraw ETH from validators.

Benefits: This raises the upper limit and significantly speeds up the queue. Moreover, with larger nodes, there is a future opportunity to promote consensus algorithms, such as only allowing large nodes to participate in block production, making it faster.

Dynamically adjust Blob capacity

Translation: L2 needs to store data on the ETH mainnet for security (similar to reporting to leadership). To avoid occupying space on the ETH mainnet, a separate space has been allocated for them, called Blob.

Dynamic adjustment of Blob capacity means enlarging this space during peak times for L2; reducing this space during valleys.

The benefit is: making L2 cheaper and faster.

Blob expansion

Translation: Directly increasing the space for L2 to store data.

Benefits: Making L2 cheaper and faster.

[Other Chains Section]

Chain abstraction

Translation: This means abstracting each module, with the goal of launching a chain with one click. It's like customizing a sandwich at Subway, where you can freely choose the type of consensus mechanism (bread), virtual machine (filling), and settlement method (sauce).

Benefits: High degree of freedom in chain launching.

Delta neutral

Translation: This means neither making a profit nor a loss; for example, you hold 1 BTC in spot and open a 1x BTC short position. The rise and fall of Bitcoin have nothing to do with you; you are neutral, with no direction.

Benefits: Bitcoin short positions can earn fees, equivalent to stablecoin investment.

DeSci
Translation: Decentralized + Science, an acronym for decentralized scientific research, a concept of the meme era.

Benefits: Making scientific fundraising a bit easier, perhaps helping science.

AI Agent

Translation: AI refers to entities like ChatGPT, DeepSeek, Grok, etc., which only ask and answer; AI agents are built on AI's question and answer basis, enabling AI to take action, also a concept of the meme era.

An engineering project named 'AI Agent' means its problem-solving logic must follow these steps:

1. Perception → 2. Thinking → 3. Action

For example, the most common AI Agent project [using AI to automatically invest in cryptocurrency], works as follows:

1. Perception: Reading the latest cryptocurrency news
2. Thinking: Determining whether the news is positive or negative for a certain coin
3. Action: Buy if positive, sell if negative

Benefits: AI actually doing real work, rather than just talking.

Hope this helps everyone understand at once.