Title: The AI Dispatch #12 - Aixbt Terminal Update, Market Crash, $FET, Phala and TEE
Author: @castle_labs
Translator: zhouzhou, BlockBeats
Editor's Note: The article discusses the impact of recent market crash and economic uncertainty on crypto and AI industries. The total market value of the AI sector has fallen below $5 billion, with an overall decline of 10%. Despite the market downturn, there are still noteworthy projects like Bittensor. The article mentions that the AI industry faces too many redundant projects and urgently needs adjustment and improved utility. In terms of updates, @elizaOS is promoting user guidance by improving documentation and video guides, and @aixbt_agent's terminal performance has significantly improved. @PhalaNetwork is collaborating with @ionet to enhance co-processing protocols, and @eigenlayer is hosting hackathons in South Korea to drive industry development.
Here is the original content (slightly edited for readability):
After the tariff announcement, the market crashed comprehensively, with no one spared.
In one of the worst periods in modern economic history, as the global trade order is being reshaped, it's not surprising that the crypto market has plummeted overall.
The total market value of the AI sector has now fallen below $5 billion, dropping 10% in the past 24 hours. Considering $BTC once touched a high of $74,000, with a daily decline of 7%, this is already relatively resilient. In comparison, $ETH fell by over 16%, dropping to as low as $1,410, a price unseen since 2018.
Nothing is worse than uncertainty, and this might just be the beginning of a long period of instability, especially as the United States may be heading towards a recession.
But we're focusing on technology, right?
We know that when portfolios are in loss, nothing matters, but now is a good time to focus on which projects are performing better, continuing to deliver, and worth watching when the (potential) market bottom arrives.
I would even say that the turbulence in the AI industry is much needed, because the industry is flooded with increasingly more new projects, and their scopes are repetitive and redundant.
For many, tracking everything that's happening has become a nightmare, not knowing which projects are worth investing in. Where is the "utility" we were promised?
It's brewing, just like the developments this week.
How are these projects "leveraging" this period?
Let's try to pull ourselves together and look at some of the most interesting developments and updates in the AI field.
@elizaOS is focusing on user guidance by simplifying and organizing all documentation, creating comprehensive development guides, and providing detailed introductions through YouTube videos.
When zkTLS meets TEE, zkVM, provided by @SuccinctLabs @PhalaNetwork @primus_labs:
@eli5_defi on @openservai:
Here's Jeff's overview of major trends in the AI field:
Among these projects, I've recently read a lot about Bittensor! It seems to be one of the most favored projects (at least in terms of sentiment about its long-term potential).
Another interesting topic that keeps coming up is about @aixbt_agent, is it 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 speaking at AI Open Summit and will host a hackathon in South Korea:
AI X Vibe coding on EigenLayer:
AMA about $FET and @asi_alliance:
Next in research, an interesting paper on AI reinforcement learning:
@virtuals_io daily update:
Joe... Virgen? Haha
@AethirCloud weekly review:
@CryptoEternalAI hints at personal AGI (?):
What about Web2, and major AI developments?
@OpenAI
OpenAI's new round of financing:
@Meta's new AI model:
