Editor’s Note: The article discusses the recent market crash and the impact of economic uncertainty on the encryption and AI industries. The total market capitalization of the AI industry has fallen below $5 billion, with an overall decline of 10%. Despite the market downturn, there are still noteworthy projects to follow, such as Bittensor. The article mentions that the AI industry faces an excess of redundant projects, necessitating adjustments and improvements in practicality. In terms of updates, @elizaOS is promoting user guidance by improving documentation and video tutorials, while @aixbt_agent has significantly enhanced terminal performance. @PhalaNetwork is collaborating with @ionet to strengthen the co-processing protocol, and @eigenlayer is hosting hackathons and other events in South Korea to promote industry development.

The following is the original content (for readability and understanding, the original content has been reorganized):

After the announcement of tariffs, the market collapsed completely, with no one spared.

During one of the worst periods in modern economic history, the global trade order is being reshaped, and it is not surprising that the encryption market has fallen overall.

The total market capitalization of the AI sector has now fallen below 5 billion USD, down 10% in the past 24 hours. Considering that $BTC once reached a high of 74,000 USD, with a daily drop of 7%, this is actually relatively resilient. In contrast, $ETH has dropped more than 16%, reaching a low of 1410 USD, a price not seen since 2018.

There is nothing worse than uncertainty, and this may just be the beginning of a prolonged period of instability, especially as the United States may be heading toward recession.

But let's follow the technology, right?

We know that when a portfolio is in loss, nothing matters, but now is a good time to focus on which projects are performing better, continuing to deliver, and are worth following when (if) a possible market bottom arrives.

I would even say that the turbulence in the AI industry is necessary, as this sector is filled with an increasing number of new projects, and their scope is redundant and repetitive.

For many people, keeping track of everything that is happening has become a nightmare, and they have no idea which projects are worth investing in. Where is the "utility" that we were promised?

It's in the works, just like the developments that happened this week.

How do these projects "take advantage of" this period?

Let's try to cheer up and take a look at some of the most interesting developments and updates happening in the AI field.

@elizaOS focuses on onboarding users by simplifying and organizing all documentation, creating a complete developer guide, and detailing it in YouTube videos.

When zkTLS meets TEE, zkVM, provided by @SuccinctLabs @PhalaNetwork @primus_labs:

@eli5_defi on @openservai:

This is Jeff's overview of the main trends in the AI field:

Among these projects, I have recently read a lot about Bittensor! It seems to be one of the most favored projects (at least in terms of sentiment regarding its long-term potential).

Another interesting topic that keeps coming up is about @aixbt_agent and whether it is losing market share? According to last week's update, the terminal has now improved its data processing speed by 8 times:

@PhalaNetwork x @ionet

@eigenlayer spoke at the AI Open Summit and will hold a hackathon in South Korea:

AI X Vibe is coding on EigenLayer:

About the AMA with $FET and @asi_alliance:

Next is the research aspect, an interesting paper on AI reinforcement learning:

@virtuals_io 每日更新：

Joe... Virgen? Haha

!

@AethirCloud 每周回顾：

@CryptoEternalAI hints at personal AGI (?) :

How is Web2, and how is the development of AI?

@OpenAI

OpenAI's new round of financing:

@Meta 新的 AI 模型：

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