claw

#CLAW 310,000, bought a little (personal record, do not follow)

0xe7324f2987acd88ee7286eb9dab0ee926ad36a68

Reasons for purchase

1. The narrative is good, originating from placing a crab claw (or AI entity) named CLAW into a Mac Mini, asking it to independently build its own blockchain. Through this absurd AI personification experiment, it combines technology with the concept of blockchain genesis. In the past 36 hours, clawchain submitted code 769 times and is getting things done.

2. The market value is not high, peaking at 610,000 at opening, then fluctuating down to 100,000 to 200,000, slowly climbing. Normally, wouldn't an operational AI have a market value of 1,000,000? It seems a bit undervalued.

3. The community has nearly 500 members, all foreigners, and they are spontaneously promoting it, quite united.

Currently, #CLAW has completely risen to the fifth position in the AI agent ranking based on its own entity.

@币安Binance华语

Follow the Web3 Koi Diary, the coins bought have multiplied tenfold.

$CYS After a single-day surge of 68%, the price is currently cooling and consolidating at a high level. This is a typical profit-taking and healthy reset, not a top structure. The market shows that buying pressure continues to absorb selling pressure at key support levels, and the open interest remains stable, indicating that major funds have not exited.
🎯 Direction: Long
🎯 Entry: 0.320 - 0.335
🛑 Stop Loss: 0.295 (rigid stop loss, if this level is broken, the structure will fail)
🚀 Target 1: 0.400
🚀 Target 2: 0.450
The massive increase of $CYS accompanied by rising open interest is a characteristic of major entry. The current price has entered a narrow consolidation after the breakout, with lower highs gradually forming a flag or triangle convergence. Each pullback on the LTF is quickly bought back, indicating that market sentiment still leans towards bullish. As long as it does not break below the previous breakout platform (stop loss level), the probability of continuing upward after this consolidation structure is higher. This is a typical momentum continuation strategy, using small stop losses to bet on the second acceleration of the trend.

Trade here 👇 $CYS
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#CLAW #美国PPI数据高于预期
@币安广场

Recently, many people have been talking about "Lobster AI". At first, I thought it was just a meme, but then I found out it’s quite popular 🦞

Simply put, it is different from the previous types of AI that only chat. In the past, you would ask a question, and it would respond; Lobster AI is more like a "working assistant." You give it a command, and it can research information, organize data, and even help you complete tasks on its own.

Many people are surprised the first time they use it—turns out AI is not just answering questions; it really can help people get things done.

However, some people have reminded that this type of AI, which can directly operate a computer and access various permissions, does carry risks if plugins are installed carelessly or permissions are too broad.

But regardless, the sudden popularity of Lobster AI actually indicates one thing:
AI is gradually evolving from just chatting to actually getting things done 🦞
#claw #龙虾ai $BTC

The fastest-growing repo in GitHub history has been born! Claude Code's code has been leaked.

Claude Code's underlying code was accidentally leaked.

Those who immediately shared it were all contacted by Anthropic's legal department.

However, instead of taking it down, some geeks rewrote it in Python on the first day to circumvent copyright issues, setting a record of 50,000 stars in 2 hours.

From the leaked content, we can see that:

1. Unlike Lobster, which is an all-around agent that uses a heavily packaged, expensive API to write code, communicate, and autonomously solve problems, Claude Code uses extremely streamlined memory management and tool calls to drive task orchestration.

2. Claude Code's source code incorporates the Kairos memory architecture. Unlike Lobster's infinitely extended and bloated memory, which uses a vector database for optimization but is essentially still keyword retrieval, Claude Code's memory architecture employs "biomimetic distillation." It doesn't simply cram past actions into memory; instead, it remembers user preferences, becoming a more personalized agent.

Claude Code uses only 5% AI functionality; the remaining 95% is hardcoded code, significantly reducing token consumption.

The author who rewrote Claude Code announced that he will reproduce the code within two days.

That might be the day Lobster receives a major upgrade!

#AI #AiBinanace #BinanceAI #claw

The genuine $QClaw that everyone recognizes was just launched, and that one is a counterfeit. Moreover, the project party holds many of them, so be careful when using that one.

0x9eae0c56c5eb40d5b47c6c197573bc39adad4444

#CLAW