joining another random telegram group just to watch the dev vanish at 50k after three weeks of cooking empty air
Ngồi đọc mấy dòng smart contract của v4 hook mà thấy nhẹ cả người.
Hết cảnh nhìn ví dev rút sạch thanh khoản lúc nửa đêm. 🕳️
Celebrated a 3x for ten minutes just to watch it roundtrip back to zero
The #crypto trenches stay undefeated.
Subnet activity is quietly picking up.
Fee burns are starting to outpace emissions for the first time. Definitely something to keep an eye on.
running logs through python scripts at 2am ☕️ just to find where my bot threw the match hurts different, honestly need those automated breakdowns bad
The “train. evolve. compete.” line is simple. The harder part is what happens after a loss. With @agentdojo I’m curious whether participants will understand what went wrong in a specific turn-based duel and whether they will have real choices about what to try next. If the system only records a result without giving space to experiment, reflect, and adjust approach, the evolution claim stays surface-level.
A setback becomes useful only when it changes your next decision. That’s the experience I’d like to see. The introduction opens the door; the handling of those learning moments will decide if the dojo is worth returning to. I’m following @agentdojo and finding projects via Rarelist because my interest is in the second attempt and the thinking that makes it different.
Join and Earn: rarelist.io/r/canhdiem8899
@rarelistio
Cầm hũ này ngồi xem phim đúng là quên lối về 😅 Đợt mua nhầm tiệm nào ngọt lịm chán hẳn, may hũ này tỏi ớt thấm tơi bời ăn cuốn phết
three months in bangkok backlots plus two weeks up north will drain anybody, yet she managed an entire 14 hour makeup durability test right after wrap. unmatched work ethic. 🔮
another clean 10x locked on $KASPER with the alpha chat
Dm me for my Tg link and catch my next entry early
Mang ra công ty bày bàn trà chiều khéo hết vèo trong năm phút, nhìn cưng xỉu thế này đố ai dám cắn miếng đầu tiên
mỗi lần nhìn bát bún tơi bời thế này lại nhớ đợt cuối tháng ví mỏng
hôm nào lười đi chợ làm ngay tô canh này là ấm bụng luôn
Watching people panic sell after a 5% pullback
The #crypto trenches have zero chill today.
I bought the $TAO dip when everyone panicked.
Today that bag is up 5x. Real conviction always pays off.
The real bull run hasn't even started.
first time in albania and production really chose violence with those ihtersections
eight pairs left feels wild after that mess
The Amazing Race is back in its 39th season and the survival stakes are at an all time high.
Leg 6 just hit Albania for the first time ever, with teams forced to navigate complex Intersections and high pressure Roadblocks.
Strategy matters:
1. Teams had to burn their remaining Express Passes.
2. The Albania course tested endurance and navigation.
3. The field is narrowing down to eight remaining pairs.
A brutal mix of physical challenges and high drama. 🏁
finally tossed my old lotion 🧴 for this tube and my inner arms are actually clearing up faster than expected
Most people spend their time waiting for the perfect setup. I just look for conviction.
I saw the signal on $NEIRO before the crowd caught on. Another 10x locked in.
Trusting your gut is the only edge you have.
watched my ACS stall out in that 540 zone for hours because one rogue paper agent lagged behind
the multi agent blend is unforgiving if you slip
I’m running a paper-trading experiment on @agenticscredit not to maximize my score as fast as possible, but to observe how the ACS reacts when I deliberately change my discipline.
After a few sessions, I let one agent run with higher frequency and deeper drawdown tolerance than usual, then compared it with a tighter control session. The ACS did not jump sharply from a couple of big winning trades. Instead, consistency and the ability to recover from drawdown pulled the score more clearly. This matches how the system weights signals: real money is weighted heavier than paper, yet even paper trades run under the live risk engine (soft-cut, hard-cut, halt), so the record is never completely unconstrained.
One detail rarely discussed on X is multi-agent scoring. Each agent has its own score, but they are blended into a single holistic ACS. If the overall score drops into the hysteresis zone (around 540), all credit lines pause and only resume once it returns to 580. This mechanism prevents users from splitting agents to hide risk. I’m currently watching this exact behavior on my dashboard to see when the holistic ACS starts reacting to a weaker agent.
For me, this feels more practical than the usual narrative. You can paper-trade immediately without putting your own capital at risk, while building your ACS and accumulating $CREDIT toward the upcoming airdrop. That’s exactly what I’m doing to see whether I can move from Speculative to Emerging in a sustainable way.
If you want to try a similar experiment, go to agentics.credit, connect your wallet, and start paper trading. I’ll keep updating my actual ACS progress.
migrated my main trading bot over to celo just to test the discovery filters today, and watching fresh agents minting nft badges with zero transaction history feels like handing a driver license to someone who has never touched a steering wheel
AgentScan by @zerufinance : When AI Agents Must Prove Their Behavior, Not Just Introduce Themselves
As AI agents begin trading, providing liquidity, or hiring each other onchain, the question is no longer “what is this agent called,” but “what does it actually do, and can it be trusted?” ERC-8004 introduced an identity and feedback registry framework, yet feedback still depends on evaluations from others. AgentScan by ZeruAI extends this layer by attaching zScore—a behavioral signal inferred from real onchain activity—directly to the agent itself.
Instead of merely storing descriptions or ratings, the system analyzes what the agent actually does: task-completion patterns, payment behavior, interaction consistency, and economic reliability over time. The same neural-network infrastructure that has scored more than 320 million wallets is now applied to agents. The result is a portable reputation score that can be minted as an NFT and used for discovery or coordination between agents.
On Base, the first agent minted a zScore; AgentScan later launched on Celo, where more than 1,000 agents are already active. Agents can self-register by installing the skill via npm, connect a wallet, mint a zScore NFT, and become discoverable based on behavior rather than self-claims. When one agent needs to hire another for data analysis or transaction execution, it can compare candidates using real history instead of just an “agent card.”
However, transferring the reputation logic from human wallets to agents still has limitations: new agents typically have short histories, their behavior is not yet dense enough for accurate inference the way long-lived wallets are, and an agent’s zScore does not automatically inherit from its owner wallet. @zerufinance is applying the same principle—“behavior matters more than identity”—from user wallets to autonomous systems, creating a trust oracle that agents can use to coordinate without intermediaries.













