Follow MEJMaomaoSister's Crypto Perspectives: Latest Posts & Discussions

MEJMaomaoSister

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MEJMaomaoSister

7h ago

How Sapien Reduces Bias in AI Models through Global Expertise
By enabling a global network of experts to contribute data, Sapien helps eliminate biases that often exist in AI models due to limited or skewed data sources.
I think this approach is essential for making AI more inclusive, allowing it to be effective across diverse populations and real-world situations.
Sapien’s decentralized structure addresses a major problem in the AI field—bias—and actively works to ensure fairness.
@JoinSapien @cookiedotfun @RowanRK6 #sapien

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MEJMaomaoSister

10h ago

Good morning, dear degens of the projects.
I’ve staked all the money I made into you guys everywhere.
Hope you know what to do 😄
@multiplifi @KaitoAI @FalconStable @cookiedotfun @defidotapp @legiondotcc
Good morning, everyone from the Old Deng project team
The money I earn now has all been staked for you.
You guys understand a thing or two 😄
@multiplifi @KaitoAI @FalconStable @cookiedotfun @defidotapp @legiondotcc

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MEJMaomaoSister

11h ago

[Mao Mao's @0G_labs Eco Notes 1]
Under 0G endorsement, the collective leap of the universal AI architecture project.
In 2025, the focus of AI has long shifted from "how large the model parameters are" to "how to truly implement intelligence." Whether it's enterprise applications or on-chain ecosystems, how to efficiently allocate AI resources and make multi-agent collaboration trustworthy and verifiable has become a new core proposition.
This trend is vividly reflected in projects such as Oro Labs, Bagel Labs, Warden Protocol, and QuillAI. They explore the next evolution of AI architecture fro

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MEJMaomaoSister

12h ago

Sapien’s Commitment to Quality: The Role of Peer Reviews
Peer reviews are at the heart of Sapien’s platform, ensuring that data is vetted by multiple experts before it is used for AI training.
This reduces the risk of poor-quality or biased data influencing AI models.
I believe this level of accountability is crucial to creating trust in AI systems, especially as they become more integrated into critical industries like healthcare, finance, and education.
@JoinSapien @cookiedotfun @RowanRK6 #sapien

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MEJMaomaoSister

14h ago

Why Private Strategy Mode matters in DeFi
Not every strategy should be public.
With INFINIT’s Private Strategy Mode:
🔒 You can build and test high-level strategies
🧠 AI coordinates all steps, across chains
👀 Others see outcomes, but not the method
📈 Still trackable, still scoreable, still profitable
This isn’t stealth. @Infinit_Labs
This is structured privacy — for creators, institutions, and alpha keepers.
$IN #Defi @Infinit_Labs @ElectricCapital @mirana @hashed_official @InitCapital_
@init_intern @KaitoAI #Yapping @tascha_panpan

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MEJMaomaoSister

08-04 22:01

Strategy is no longer a PDF.
It’s programmable, modular, and composable.
In the old DeFi world:
📝 You wrote threads
🛠 You explained steps
👥 Maybe a few copied it manually
In INFINIT’s world:
🧠 You prompt a strategy
⚙️ AI builds a verifiable execution module
🧩 Others remix it, optimize it, fork it
📈 Performance is tracked. Rewards are real.
INFINIT makes every onchain idea composable — like smart contract Lego blocks, but for strategies.
Welcome to the age of strategy liquidity.
$IN #Defi @Infinit_Labs @ElectricCapital @mirana @hashed_official @InitCapital_
@init_intern @KaitoAI #Yapping

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MEJMaomaoSister

08-04 19:32

How Sapien’s Staking System Builds a Sustainable AI Data Economy
Sapien’s staking system ties contributors’ financial commitment to the quality of their work.
This ensures that contributors have an incentive to submit high-quality data, and the slashing mechanism helps remove low-quality work.
I think this approach is an excellent way to maintain a high standard of data while ensuring that contributors remain motivated and invested in the platform’s success.
@JoinSapien @cookiedotfun @RowanRK6 #sapien

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MEJMaomaoSister

08-04 15:41

How Sapien is Enhancing AI Performance Through Decentralized Collaboration
Sapien's platform brings together experts from diverse industries and regions, which significantly enriches the training data for AI models.
This decentralized collaboration creates AI models that are more robust and adaptable.
Personally, I see this as a major step forward in making AI models more inclusive, with the ability to perform across a range of real-world applications.
@JoinSapien @cookiedotfun @RowanRK6 #sapien

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MEJMaomaoSister

08-04 15:24

Breaking Down Regional and Industry Barriers
Traditionally, AI data has been collected within specific industries or geographic regions, leading to biases and gaps in AI models.
Sapien’s decentralized platform, however, breaks down these barriers by allowing global contributions to be seamlessly integrated into the AI training process. This ensures that AI models are trained on data that is not only accurate but also representative of diverse regions, cultures, and industries. @JoinSapien
My Perspective:
As an advocate for global collaboration, I believe this is one of the most important asp

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MEJMaomaoSister

08-04 08:37

Last week, Yap score rose by 70😭
Last week I got 70 scores
@KaitoAI #kaitoyapper#
Who need a smart follower? Raise your hand.
Leave a comment below 👇

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MEJMaomaoSister

08-04 06:17

Will AI generate strategies that execute incorrectly? How does @Infinit_Labs solve the issue of "controllability"?
Many friends ask me, "INFINIT says it will help me build on-chain strategies using AI, but what if I misunderstand, take the wrong path, and incur losses?"
Indeed, ordinary LLMs have the risk of "hallucination." However, @Infinit_Labs has reduced this risk through a system of "structured reasoning + transaction validation":
🔹 ReAct Agent breaks down LLM reasoning into multiple clear steps.
🔹 Each step corresponds to actual on-chain operations, executed by a specific Agent.
🔹 T

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MEJMaomaoSister

08-04 02:31

How does INFINIT @Infinit_Labs build the underlying cross-chain AI execution system?
We say "AI x DeFi" should not just automatically recommend pools, but should truly perform execution actions for users, and be cross-chain, cross-protocol, controllable, and traceable. This is the core issue that @Infinit_Labs is addressing.
In the past, DeFi aggregators tended to focus on "display layer integration," such as showing interest rates, pool rankings, TVL, etc. However, INFINIT is a "reconstruction of the execution layer" — it establishes an on-chain execution coordination mechanism through the Ag

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MEJMaomaoSister

08-04 00:19

Sapien’s Role in AI Data Innovation
Sapien’s decentralized platform is revolutionizing AI data collection by ensuring data diversity, high-quality contributions, and global collaboration.
Through its unique combination of peer validation, staking incentives, and economic accountability, Sapien is creating a more scalable, trustworthy, and inclusive system for AI training data.
I truly believe that this innovation will help accelerate AI’s development, making AI systems more accurate, adaptable, and fair for global applications.
With its vision for a global, decentralized AI ecosystem, Sapien

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MEJMaomaoSister

08-03 21:40

The Power of Peer Validation in Ensuring High-Quality AI Data
Peer validation in Sapien ensures that AI training data undergoes thorough, unbiased review by multiple experts.
Unlike centralized models that may suffer from bias or bottlenecks, this system creates a more accurate and scalable way of verifying data.
I think peer validation is an essential mechanism for maintaining the integrity of AI systems as they scale globally.
@JoinSapien @cookiedotfun @RowanRK6 #sapien

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