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The latest #Starboard# has been launched, this time it is @irys_xyz, which, in collaboration with Cod3x, is starting to do some truly "smart" things in Decentralized Finance, not relying on manual parameter adjustments, nor on bots trying their luck, but rather letting AI remember and learn things, and ultimately may even make money by "selling brains."
Previously, those trading configurations, such as position, stop-loss, entry conditions, etc., mostly existed off-chain. If they were tampered with or lost, it could lead to severe losses. Now, these can be directly put on-chain and placed on I
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🤑 @wardenprotocol is a Layer 1 public chain specifically designed for "AI + Blockchain". It is not one of those projects that just slaps an AI label on it; it is genuinely innovating at the underlying architecture.
In simple terms, most blockchain projects today have smart contracts that are quite "dumb"; they can only execute according to preset rules and cannot handle ambiguous or complex scenarios, nor can they accept the results from AI models. Warden aims to break this limitation.
The core point is to combine the "judgment" of AI with the "certainty" on the blockchain, allowing smart con
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🤠 @TheoriqAI released a live demo, showcasing the entire process of their OLP Swarm. The core is how a group of agents can automatically handle "market watching + placing orders + adjusting positions" on-chain. After watching it, all I can say is that this project is really serious about getting things done.
How does this Swarm work? It starts by reading pool data from Uniswap v3, such as price fluctuation pulses. Then it hands over to the Statistical Agent for analysis, calculating key indicators like recent averages and volatility. Next, the Policy Agent decides whether to adjust the strate
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Many BTC layer 2s on the market now claim to be "trustless" systems, but if you take a careful look at the mechanism design, you'll find that many have a critical flaw: the withdrawal path is not secure enough. Especially in the previous version of BitVM2, there was a typical issue—if the Operator maliciously forks the state chain, it could forge a "seemingly problem-free" zk proof to withdraw real BTC from Layer 2.
@GOATRollup BitVM2 is a complete overhaul specifically designed to address this vulnerability. Its core logic is: no matter how you tinker in Layer2, all withdrawals must be valida
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Arsalan354vip:
Go to sleep, theres nothing to watch. Wait for the market maker to start working. The market maker probably will keep delaying, pushing the ETH 3-day chart middle band up to 32, then move upward. Everyone see if my prediction is accurate.
🤠 @0xSoulProtocol The current Decentralized Finance is quite loud to be honest, but the foundation hasn't kept up. There seem to be more and more products, but those that are actually usable are becoming more and more fragmented. Soul is not here to steal the spotlight; what it aims to do is truly connect the infrastructure that should have been unified in this field long ago.
Why did we initially believe in Decentralized Finance? Isn't it because it has no barriers to entry, funds can flow freely, and various protocols can interoperate? But how many of these promises are truly realized today
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Drunkardboy3vip:
Hold on tight, we're about to To da moon 🛫
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🤪 @TheoriqAI has made another big step forward. Swarm can now automatically adjust its strategy based on market changes. For example, in the last 24 hours, the price fluctuation and trading volume suddenly increased, so the Policy Agent determined that the current market is unstable, thus proactively narrowing the tolerance range for fluctuations and changing the tracking time from 24 hours to 4 hours to respond more sensitively to market changes. The core of this step is actually that Swarm's response speed and strategy adjustment capability are starting to approach that of "humans."
This c
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😘 @Aptos Why is it so suitable for payments? The key actually lies in four points: Liquidity, transaction efficiency, scalability, and application revenue. Aptos does quite well in these aspects.
First, let's talk about stablecoins. There are already over $1.4 billion worth of stablecoins on Aptos, which has grown 11 times compared to last year, with a monthly trading volume exceeding $30 billion, and the liquidity is absolutely sufficient. In addition, with the transaction speed of 125 milliseconds per block, transactions are completed in an instant, and the settlement speed is particularly
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CryptoLoverArtistvip:
hi. please 🙏 follow me. I Follow Back! 🎉
In the past, DeFi was actually quite "foolish". You can understand it as most strategies being "short-term memory", executing every time as if it had amnesia, completely forgetting what happened in the past. Each strategy runs in isolation, and every decision has to start from scratch, just like you can only rely on instinct and feeling when trading cryptocurrency, without any "accumulated experience". This is actually the biggest obstacle to the performance of AI.
Cod3x and @irys_xyz just want to solve this problem. Cod3x is focused on automating Decentralized Finance operations, but it doesn
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I saw @Mira_Network mention a very critical but easily overlooked issue: once AI is applied on a large scale, the impact of bias will be infinitely amplified, and it will be cumulative.
AI is no longer just a toy; it is now being used in real-life scenarios that truly impact people's lives, such as search, healthcare, finance, and education. On the surface, it seems to improve efficiency and enhance experience, but if the underlying data and logic are inherently biased, the problem is no longer as simple as just "getting the wrong answer."
For example, in the medical field, if AI has a low dis
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😜 @TheoriqAI What’s next? Their direction is actually quite clear: to truly transform this trap of Agent Swarm gameplay into a scalable liquidity management system.
The first version is just the beginning. Next, they plan to develop more detailed strategy automation around DEX, making the core role of LP management smarter and more flexible, forming a complete set of exclusive "liquidity squad" for the Theoriq protocol. Moreover, this is not just product optimization; they are also researching how to integrate more mature architectures like vaults to enhance the efficiency and stability of st
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Looking back at the journey of @Infinit_Labs V1, it feels like they are one of the few teams that truly combine AI and on-chain operations, and they are not just making a gimmick; it has really been put into practice.
In the past, many people were actually discouraged from playing DeFi. There were too many chains, the interfaces were complex, and each protocol had to be researched individually. If you didn't know how to use it, you had to ask others for help, which not only slowed things down but also made it easy to get scammed. INFINIT V1 simplifies this process significantly by using AI as
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🤪 @TheoriqAI recently publicly reviewed the development process of their first practical product OLP Swarm, and it was quite authentic. As a project focused on "Agentic Finance," they have laid bare the underlying logic, technical path, and the issues they encountered, which is quite rare.
OLP Swarm is essentially an on-chain liquidity smart agent system aimed at making liquidity management more automated and efficient. Previously, in DeFi or traditional finance, market making relied either on manual adjustments or complex strategies, which were not only inefficient but also prone to errors.
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Most of the complex strategies in DeFi, to be honest, ordinary people can't really use them at all. You have to switch between three protocols, click a bunch of authorizations, and sign repeatedly. If you're not careful, it's easy to make mistakes, not to mention making it accessible for newcomers.
@Infinit_Labs This wave has directly simplified this "process hell". The "Prompt-to-Strategy" model they launched, in simple terms, means that you just need to tell it what you want to do, such as arbitrage or yield cycling, and it can automatically break down all the steps clearly, then help you pa
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Many people say that DeFi is about automation, but in fact, most operations are still decided by "humans". What @TheoriqAI wants to do is to hand over this step completely to AI, bringing true automation and intelligence into on-chain finance.
The AlphaSwarm they recently launched looks like a "smart cluster" that encompasses three main areas: liquidity provision, yield strategies, and automated trading. The most intuitive change is that in the future, you may not need to constantly monitor the market or switch protocols repeatedly; AI will dynamically adjust strategies based on market conditi
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🧐 @Infinit_Labs V2 feels like they really want to completely change the way DeFi works. In the past, when people talked about AI + DeFi, they mostly stayed at the level of recommendations and information aggregation, but INFINIT this time has directly integrated "execution" as well, and it's an execution system open to everyone.
Their core point this time is "strategy equals product" - you don't need to be a tech genius or write code, as long as you know how to play DeFi, understand strategies, or even if you're just an influencer, you can turn your ideas into a one-click executable strategy
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In the past, creating a complex DeFi strategy required understanding the blockchain, knowing protocols, and being able to write code, which ordinary people simply couldn't manage. However, the "strategy generation" feature that @Infinit_Labs is about to launch is quite interesting; it essentially levels the playing field.
They validated one point during the internal testing phase: by writing prompts in natural language, AI can help you automatically generate a complete set of multi-step Decentralized Finance strategies. It's not just a casual write-up, but the kind that can actually run on-cha
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Meta @AIatMeta has once again proven something with its results: the combination of social networking and AI is really powerful. As soon as the financial report was released, net profit rose by 38%, and the stock price pumped over 10% in one night. The core source of revenue behind this is still advertising. In simple terms, it relies on AI tools to help others pump clients, and then it profits immensely.
Now they can increase ROI by 22% through AI, this set of combination punches is too skilled. And this is actually the path that the Web3 version of UXLINK is taking. Social is the foundation,
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