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Uniswap is launching a launchpad, but the odds of success are very low.
I feel that sometimes whether a product succeeds is determined by the team’s DNA.
Uniswap’s wallet also failed, and its L2 didn’t succeed either—it’s the kind of thing they built, but that lost its momentum once the hype cooled.
UNI-1.31%
Holding pays on Rabbithole. Just claimed 1.7393 USDC from Lido earnETH.

Haha, can earn a cup of coffee a day
USDC0.00%
I still can’t tell how good or bad it is—I haven’t figured it out yet. It’s definitely expensive; after running two goals, we’ve already used 31% of the allocation.
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Seeing some people who were previously in VC now start pretending to write some promotional posts/messages with a straight face really boils my anger.
Recently, using @yetone, Alma has been doing the following:
1/ Creating a baby food plan.
Describing the basic situation, syncing it to Google Calendar, reminding me to buy groceries and prepare a week's worth of baby food for the family member on weekends, and scheduling baby food preparation for non-weekend days, with weekly feedback and memory.
2/ Meal preparation.
Sharing the family member's situation with him, and reminding me to buy some reserve ingredients every Wednesday during the 盒马会员日.
3/ Planning to write a biography of my mother, feeling that AI can bring not only efficiency impro
I don't know why the English community really likes to talk about layers, it just gives me a feeling of a big scam. I still prefer to talk about what capabilities your product provides and who it's for.
@Polymarket has never talked about itself as a layer.
Bringing a few partners together, leveraging the company's existing system to integrate AI capabilities, we found that the R&D ideas are more advanced than those of the product managers, possibly because development is currently the role that uses large models most frequently.
While organizing some past materials from rabbithole, does anyone else remember this? Projects from the same period like tally, partydao, and others all chose to shut down.
I really envy those people who can constantly come up with various ideas in their heads and use AI to implement them. I can't do that myself. I spent two months using AI to write arbitrage strategies, and I still haven't made any profit. 🤣
Used the company's unified model framework to connect to Deepseek, initially thought it was a framework issue. After examining logs from two different sources and personally adjusting parameters, it was finally discovered that the problem was with the Deepseek model itself.
In certain cases, it combines think and content into think together, and it's unclear why.
Again and again, sold too early $spotlight
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Returning to the village for the Spring Festival, I listened to my dad talk about his friend's situation—his son borrowed online loans and was chased for debt, forcing him to sell his house. It made me realize that "saving money" is far more important than "making money."
My dad's friend isn't exactly wealthy in the village, but with the money he made from doing business, living a modest life is no problem. Unfortunately, his youngest son went astray a few years ago, borrowing a lot of online loans. In the past two years, to bail his son out, he spent all his cash and had to sell his house in
It reminds me of "The Big Short"!!!!
Why are so many people eager to prove that large models don't work? Regarding the "car wash" issue, I've seen it in at least three different groups.
For most crypto projects, the default FDV is the current MC, and the default community share usually goes to the core team and selling forces, so it's roughly the same.