AI Industry Trends and Project Updates, Potential and Transformation in the Midst of a Crisis

By: blockbeats|2025/04/08 11:45:03

Original Title: The AI Dispatch #12 - Aixbt Terminal Update, Market Crash, $FET, Phala and TEE
Original Author: @castle_labs
Original Translation: zhouzhou, BlockBeats

Editor's Note: The article discusses the recent market crash and economic uncertainty's impact on the crypto and AI industries. The AI industry's total market cap has dropped below $5 billion, with an overall 10% decline. Despite the market downturn, there are still noteworthy projects, such as Bittensor. The article mentions that the AI industry faces too many redundant projects, urgently needing adjustment and increased practicality. In terms of updates, @elizaOS is driving user guidance through improved documentation and video guides, and the performance of @aixbt_agent's terminal has seen a significant improvement. @PhalaNetwork is collaborating with @ionet to enhance the shared processing protocol, @eigenlayer is hosting hackathons and other events in South Korea to promote industry development.

The following is the original content (slightly reorganized for readability):

Following the tariff announcement, the market experienced a comprehensive crash, with no one spared.

In one of the worst periods in modern economic history, the global trade order is being reshaped, so a significant crypto market downturn is not surprising.

The total market cap of the AI sector has now fallen below $5 billion, with a 10% drop in the past 24 hours. Considering $BTC once hit a high of $74,000, a daily decline of 7% is actually relatively resilient. In contrast, $ETH dropped over 16%, hitting a low of $1,410, a price unseen since 2018.

AI Industry Trends and Project Updates, Potential and Transformation in the Midst of a Crisis

Nothing is worse than uncertainty, and this may only be the beginning of a long period of instability, especially as the U.S. may be heading for a recession.

But let's focus on the tech, right?

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

I would even say that the turmoil in the AI industry is much needed, as it is becoming increasingly filled with new projects, many of which overlap in scope and purpose.

For many, keeping track of all the developments has turned into a nightmare, with no clear indication of which projects are worth investing in. Where is the "practicality" we were promised?

Developments are brewing, much like those that occurred this week.

How are these projects "leveraging" this period?

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

@elizaOS focuses on creating comprehensive developer guides by simplifying and organizing all documentation, accompanied by detailed explanations through YouTube videos for user guidance.

When zkTLS meets TEE, zkVM, brought to you by @SuccinctLabs @PhalaNetwork @primus_labs:

@eli5_defi on @openservai:

Here's Jeff's overview of the key trends in the AI field:

Among these projects, I've recently come across a lot of content about Bittensor! It seems to be one of the most promising projects (at least in terms of the sentiment regarding its long-term potential).

Another recurring and intriguing topic is about @aixbt_agent, is it losing market share? According to last week's update, the throughput has now increased by 8 times:

@PhalaNetwork x @ionet

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

AI X Vibe coding on EigenLayer:

AMA about $FET and @asi_alliance:

Next up is a research piece, an interesting paper on AI reinforcement learning:

@virtuals_io daily updates:

Joe... Virgen? Haha

@AethirCloud weekly recap:

@CryptoEternalAI hints at personal AGI (?)

How about Web2, and how is mainstream AI progressing?

@OpenAI

OpenAI's new funding round:

@Meta's new AI model:

「Original Article Link」

On June 9, The Kobeissi Letter, citing Goldman Sachs data, reported that global investors are selling South Korean stocks at an unusually rapid pace. In the latest trading session, foreign investors sold about $801 million worth of Kospi constituent stocks again; total foreign outflows last week reached about $10 billion, and the market has been in net foreign selling on nearly every trading day over the past month. According to the data cited in the report, foreign investors have sold about $75 billion worth of South Korean stocks so far this year. Meanwhile, South Korean retail and institutional investors together recorded roughly $69 billion in net buying over the same period, suggesting that the market’s main buying support has come from domestic capital rather than returning overseas funds. The information currently disclosed still mainly comes from The Kobeissi Letter’s retelling and Goldman Sachs data summaries, while public details on the statistical period and the specific definition of “selling” remain relatively limited.

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For elite global exchanges like WEEX (founded in 2018), this architectural choice becomes critical when scaling high-volume retail features like social copy trading. When thousands of users automatically mirror the real-time strategies of elite traders simultaneously, it triggers sudden, monumental spikes in concurrent transactional volume.

To prevent execution latency or settlement bottlenecks during these peak volatility events, a platform's primary engine must remain entirely dedicated to risk management, copy-trade synchronization, and order matching.

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By separating these layers, platforms can maintain complete sovereignty over their trading environments and user experiences while strategically aligning with institutional-grade infrastructure ecosystems. This strategic framework allows modern exchanges to leverage advanced Digital Asset Custody infrastructure such as Cobo’s behind the scenes, ensuring that backend wallet management scales elastically alongside trading spikes.

Capitalizing on Market Momentum and 400× Leverage

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Adopting a flexible, scalable Wallet-as-a-Service (WaaS) solution such as Cobo’s could completely rewrite the development timeline for high-growth exchanges. Instead of spending months of engineering capital building out custom backend wallet architectures for every new blockchain network, platforms can deploy localized infrastructure in days.

This agility allows platforms to instantly scale their listings to over a thousand trading pairs without compromising security or delaying time-to-market. It mirrors the exact operational advantages seen during high-velocity market events, similar to how advanced wallet infrastructure empowers platforms during sudden asset surges; allowing exchanges to pass that speed and liquidity directly to their global user base.

A Mature Foundation for Growth

The synergy between trusted infrastructure ecosystems and global trading platforms represents the natural evolution of a maturing crypto market. As WEEX continues to scale its global spot and derivatives offerings for over 6 million users, adopting robust backend paradigms proves that platforms no longer have to compromise between cutting-edge trading velocity and uncompromised structural security.

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