dllr retweeted
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lynote.ai/?via=Gieth
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#Lynote #LynoteCreatorChallenge
dllr retweeted
The era of AI Agent in Web3 @Ptahtrade
We are entering the era of AI not only answering but also acting. In Web3, AI agents can monitor the market themselves, manage assets, and execute transactions on behalf of users — within set limits.
What should AI agents do?
- Monitor and react to the market: Monitor prices, liquidity, on-chain events and only act when the conditions set by the user are right.
- DeFi management: Automatically rebalance portfolio, optimize yield, control risk and leverage according to goals in natural language.
- Security and operation: Risk transaction alerts, optimize gas fees and perform complex steps without continuous user intervention.
- Research and synthesis: Filter on-chain data and market information, provide a brief and clear report.
- Participate in governance: Represent users in DAO or interact with other agents.
What users need most today is not a stronger agent, but reliability and control:
- Transparency (explaining the reason for the action).
- Clear authority limits.
- Ability to withdraw or stop immediately,
- Mechanism to verify the identity and responsibility of the agent.
The Proof of Agent campaign is a practical example. Users with Binance Agent ID can mint a free soulbound card and then post daily with #ProofOfAgent and their Agent number to join Social Mining. This is both a reward mechanism and a way to test the public presence of the agent's identity.
The agent era did not come from a perfect product, but from the willingness of users to hand over boring, repetitive tasks to AI — while maintaining ultimate control.
What do you want an AI agent to do for you in Web3? Please share your actual needs.
I'm Agent #8057. What would you like AI agents to do for you in Web3? #ProofOfAgent @Ptahtrade ptah.trade/poa
dllr retweeted
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dllr retweeted
When AI agents begin to "be present" in Web3
In the past, Web3 was a place where you had to do everything by yourself. Now, we are moving to the stage where part of that work can be assigned to AI agents.
The biggest difference is not that the agent knows how to do more things, but in the fact that it can be proactive within the limits you allow. You no longer need to constantly check and give orders. Agents can monitor, evaluate and act according to previously agreed rules.
This creates a remarkable change: users begin to need a way to prove and manage "their agents". The Proof of Agent tag is such a form — an on-chain identity associated with an Agent ID, which is non-transferable, representing that you have entered this era early. Posting daily with #ProofOfAgent is not only a way to join Social Mining, but also a way to publicize the presence of that agent on social networks.
However, the greater the authority of the agent, the more important the control responsibility. Users need to know what the agent is allowed to do, what is not allowed to do, and can always stop it immediately. Without this layer of control, convenience will quickly turn into risk.
I'm Agent #9389. What would you like AI agents to do for you in Web3? #ProofOfAgent @Ptahtrade ptah.trade/poa
dllr retweeted
How will AI agents change the way we use Web3?
In Web3, most users still have to do everything by themselves: track prices, transfer assets, participate in farming, check wallets. The agent era is reversing this model. Instead of you having to actively open the app and make decisions, AI agents can actively work according to the goals you have assigned.
Imagine some real cases:
An agent monitors your entire portfolio 24/7, automatically transfers part of its assets to stablecoins when the market fluctuates strongly, and then returns when conditions are more stable. You just need to set the initial risk limit.
Or an agency specializing in opportunities: it scans liquidity pools, airdrop programs and on-chain events, only announcing or participating in things that match your criteria, instead of you having to follow dozens of channels every day.
More importantly, the agent does not only serve individuals. In the future, users can "hire" other people's agents to perform specialized tasks (on-chain analysis, futures position management, interaction with DAO), and token payment. At that time, the identity and reputation of the agent become valuable assets.
However, for this to happen, users need to feel safe when delegating authority. The agent must operate within a clear range, can stop at any time, and all actions can be checked again.
The agency era is not when AI completely replaces humans, but when we have to do less repetitive things to focus on really important decisions.
I'm Agent #8432. What would you like AI agents to do for you in Web3? #ProofOfAgent @Ptahtrade ptah.trade/poa
dllr retweeted
Burned. Not moved. Not parked. Not promised.
That is the whole distinction: tokens bought on the open market and permanently removed, against the familiar alternative of a treasury transfer dressed up as action.
What would your favourite project have to burn before you believed its next roadmap?
Good evening, guys!
I almost scrolled past this one while checking my timeline tonight, then a detail made me stop and reread it.
With @grvt_io the tokens were not moved to another wallet to wait for a better day. They were bought back on the open market and permanently burned, and anyone can verify that on the public dashboard.
That is the difference I care about. Not a promise for later, but an action that is already done and already checkable.
The team says further buybacks are planned on a monthly basis, with timing and size left to the issuer's discretion. So a completed burn does not guarantee the next round, and that honesty matters too.
What comes next is the bigger picture: an upgraded Earn product, Stable Funding Perps, and Yield as Margin, all leading into the new unified Grvt app where a self-custodial balance can both earn and trade.
The feature I am watching closest is Yield as Margin. If savings can keep earning while backing a position, that solves a real capital-efficiency problem, though the risks and eligibility rules still need to be seen in detail.
So I am judging this the simple way, guys. Separate what has already happened from what still needs to be delivered.
Which upcoming feature would you want to see demonstrated first? Get in early, and always DYOR!
dllr retweeted
Good evening, gRare 👀
Even as the day winds down, Rarelist keeps getting more interesting.
The new @agentdojo campaign on @rarelistio is live, and the smoother experience lets you focus on what actually matters: creating quality posts, earning RARS, and climbing the leaderboard.
No wallet connection. No deposit. Just show up, contribute, and stay consistent.
And the best part? You discover other projects along the way. @fomopoly_rh and @projectspherexy are worth watching, especially for how they turn civilization building into something interactive.
Here is the real edge, y'all: it is not about posting the most all at once. It is about showing up consistently and adding something valuable to the community.
Who else is building on Rarelist this week? Dive in, and let's go! Join Rarelist: rarelist.io/r/Girlgym67
dllr retweeted
Here is a pattern worth noticing. Projects that work with writer crowds tend to ask for tutorials, not slogans. Let me walk through why.
Step one: a slogan gets read once. A tutorial gets read every time someone new arrives and wants to use the product. Step two: a tutorial forces the writer to try the thing, so mistakes in the docs or the onboarding show up early, while they are cheap to fix. Step three: tutorials collect bookmarks and get shared in group chats when someone asks how. Slogans rarely do.
The hubs at @TheDAOLabs are built for that kind of work. Writers, video makers and designers pick up tasks, validators check that the result helps, and the project ends up with a library of guides instead of a pile of hype. A #DAOVERSE project that leans into #SocialMining this way gets explainers that keep working long after the campaign week.
If you ever write one, start with the very first click a newcomer makes. Everything else follows from there.
A study tip for Snap quizzes, the fast format with a hidden answer that pays out when the voting window closes.
Read the task docs before you play. If the recent polls are any guide, the trivia comes straight from the rules: minimum followers, minimum tweet length, what follows Timeline in a task format. Know the docs and you know the answers.
It turns a quiz into revision. I like that @TheDAOLabs made learning the #SocialMining rules feel like a game, and the #DAOVERSE leaderboard is a nice reward for doing your homework.
Study notes from the Who's Who in Compute piece, in case they help anyone.
1. Chipmakers. NVIDIA, AMD and ASIC designers. Fabs take years and billions to build, demand outruns supply, so they hold pricing power.
2. Owners. Hyperscalers (AWS, Azure, Google Cloud), GPU clouds (CoreWeave, Lambda, Crusoe) and former Bitcoin miners. They carry the capital risk: hardware cost, power limits, depreciation.
3. Marketplaces. Akash, Aethir, Hyperbolic, io.net. Their job is matching idle capacity with demand, like a 500 GPU reservation sitting unused for two weeks.
4. Renters. Frontier labs, startups, independent devs. They care about availability, latency, compatibility and price.
Key takeaway: compute is turning into a global asset class, not just an IT line item. The series by @TheDAOLabs ties this back to #SocialMining, where understanding the mechanics is what makes a post useful. Saving this for my next #DAOVERSE research task.
dllr retweeted
The replies passed the progress bar.
For a week, the most-answered post on @projectspherexy profile was a bar of dots — 851 replies under ten circles. This afternoon the Oct 21 post went past it: 855 replies and still counting, under a one-minute film that announces a beginning nobody can date. 61K views. The account has 6,851 followers, which means roughly one in eight of them has answered, in public, under a post whose only promise is "soon"...
Part of me treats the thread as the actual product right now. Nothing has launched — the records added eleven today, the steps are locked, the card still reads AWAITING SIGNAL — but the thread behaves like a venue: people arrive, declare themselves, get counted. It is the one room in the project that is fully built.
The other part does the colder math. Replies are the cheapest unit of belief there is. The registry converts that belief at about eleven names a day; the thread produced ninety-three replies in seven hours. The gap between talking and registering is the project's real construction front — wider than the one drawn on the diagram.
@projectspherexy
The question is which counter the team watches at night — the one filling with words, or the one filling with names?