Original title: The AI Dispatch #12 - Aixbt Terminal Update, Market Crash, $FET, Phala and TEE
Original author: @castle_labs
Original translation: zhouzhou, BlockBeats
Editors note: The article discusses the impact of the recent market crash and economic uncertainty on the crypto and AI industries. The total market value of the AI industry has fallen below $5 billion, an overall decline of 10%. Despite the market downturn, there are still projects worth paying attention to, such as Bittensor. The article mentioned that the AI industry faces too many redundant projects and urgently needs to be adjusted and improved in practicality. In terms of updates, @elizaOS promotes user guidance through improved documentation and video guides, and @aixbt_agent has greatly improved terminal performance. @PhalaNetwork cooperates with @ionet to enhance the co-processing protocol, and @eigenlayer holds hackathons and other activities in South Korea to promote industry development.
The following is the original content (for easier reading and understanding, the original content has been reorganized):
After the tariff announcement, the market collapsed and no one was spared.
As the global trade order is being reshaped during one of the worst periods in recent economic history, it’s no surprise that the crypto market as a whole is plunging.
The total market cap of the AI sector has now fallen below $5 billion, down 10% in the past 24 hours. Considering that $BTC once hit a high of $74,000, the daily decline is 7%, which is actually relatively resilient. In contrast, $ETH fell more than 16% to a low of $1410, a price not seen since 2018.
There is nothing worse than uncertainty, and this may be just the beginning of a long period of instability, especially as the United States may be heading for a recession.
But let’s focus on the technology, right?
We know that nothing matters when the portfolio is losing money, but now is a good time to focus on which projects are performing better, continuing to deliver, and worth watching when (and if) a possible market bottom comes.
I would even go so far as to say that disruption in the AI industry is much needed as the industry is flooded with an increasing number of new projects with overlapping scopes.
For many, it has become a nightmare to keep track of everything that’s going on, with no idea which projects are worth investing in. Where is the “utility” we were promised?
There are developments brewing, like those that occurred this week.
How do these projects take advantage of this period?
Let’s try to cheer ourselves up and look at some of the most interesting developments and updates happening in the field of AI.
@elizaOS focuses on user onboarding by simplifying and organizing all documentation, creating a complete development guide, and explaining it in detail through YouTube videos.
When zkTLS meets TEE and zkVM, provided by @SuccinctLabs @PhalaNetwork @primus_labs:
@eli 5 _defi on @openservai:
Here is Jeff’s overview of the major trends in AI:
Of these projects, I’ve been reading a lot about Bittensor lately! It seems to be one of the most bullish projects (at least in terms of sentiment regarding 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 is now 8 times faster in data processing:
@PhalaNetwork x @ionet
@eigenlayer spoke at the AI Open Summit and is hosting a hackathon in South Korea:
AI X Vibe is encoded on EigenLayer:
AMA about $FET and @asi_alliance:
Next up is research, an interesting paper on AI reinforcement learning:
@virtuals_io Daily Updates:
Joe... Virgen? Haha
@AethirCloud Weekly Review:
@CryptoEternalAI hints at personal AGI(?):
How about Web2 and major AI developments?
@OpenAI
OpenAIs new round of financing:
@Meta New AI Model:
