Ups and downs in 2025, is it like this for you?

The issue with AAVE is actually quite similar to the conflicts within the management. There is a conflict of interest between the coin holders and the labs. Given the current situation, it is basically unsolvable.
I think AI might be the breaking point. The development direction of the DAO control protocol, and then AI will land based on the proposal's needs.
This means that labs are no longer necessary. The role of labs is essentially daily operations, front-end and back-end maintenance, marketing, new proposals, and the concrete implementation of code. In fact, in the future, AI can hand

The ironic thing about AAVE is that if Labs still defaults to giving the swap revenue to the treasury and then quietly adds 10 million to its own operating budget, the vote is likely to pass. Most people don't care.
The problem lies in the fact that Labs has become a bit arrogant, too lazy to pretend and beat around the bush. They've put the contradictions on the table.

Why does everyone feel so bad during this round of decline? It seems much more hopeless than before.
I think it's because of a strong contrast?
In the past, we didn't follow the US stock market,
Later, we followed the US stock market—when it went up, we went up; when it went down, we went down.
Then in recent months, BTC started to decouple from the US stock market, surprisingly weak.
Meanwhile, the A-shares kept hitting new highs, and the US stock market also kept hitting new highs.
And the impact that AI has brought to life and work is also significant, no less than when I first got into Cry

I'm still quite curious about how Xiaohongshu has evolved step by step to reach today.
Initially, in my understanding, Xiaohongshu was mainly about beauty and makeup sharing.
Then suddenly, one day, it filled the gap during the period from Baidu to AI, becoming my top search platform.
Now, it has become the most valuable commercial monetization platform for fans.

If you think Mohr Thread's valuation is reasonable.
Then the world's number one stock, NVIDIA, must be seriously undervalued😂😂😂

SEC chair says "the era of on-chain settlement is coming soon"
CFTC allows USDC to serve as collateral
I'm thinking that maybe in the future "blockchain" will become a common-sense concept, just like "the internet."
For example, if I asked you today what the internet is, you probably couldn't give a precise definition right away, but we all understand it.
Maybe in the near future, people will talk about blockchain the same way they talk about the internet.
Over the years we've traded memes, engaged in on-chain PVP, and ended up with a bunch of worthless junk in our wallets, but fortunately—aft

Did some research on Montage Technology.
The "tenfold multiplier effect" of MRDIMM sounds very appealing.
Current industry pain points: AI servers require high computing power, but memory bandwidth is insufficient. HBM is too expensive and has low capacity, while traditional DDR5 is too slow.
Solution: The industry is being forced to adopt MRDIMM (Multiplexed Rank DIMM) technology on a large scale.
Ordinary DDR5 memory module: Montage sells 1 chip.
MRDIMM memory module: Montage sells 1 MRCD + 10 MDB chips = 11 chips.
Conclusion: As AI servers are expected to standardize on MRDIMM by 2025, will

Elizabeth’s approach is basically filtering out people who lack discernment.
Anyone with any ability to judge has already been screened out by her.
The ones left have extremely high “purity” and are super easy to scam.
Whether she brings them in for contract rebates or scams them directly, these are extremely precise target customers.

$Donut really gives me the same feeling as before $ORE .
It's just that rational calculation shows there's no positive feedback loop here anymore.
But the market is driven by sentiment. Especially with Donut's design. Even third-party frontends can make money, uniting all possible forces. You can tip with donut, you can play gamefi with donut. Westerners are shilling it so hard.

The development speed of AI has already far surpassed the iteration speed of tutorials.
These past few days, I've been playing with Vibe coding and have watched many tutorials that are relatively "new" from October.
The bugs and annoying errors that the tutorials mention AI might produce—I actually haven't encountered any of them during my hands-on practice these past few days.
I'm thinking about how I still need to learn how to use Cursor, how to do project management, and how to summarize context to make AI faster and smarter.
Maybe before I even master these skills, the next version of AI w