

Recession Trade Overrides Rate-Cut Hopes: Where Do U.S. Equities and Crypto Go Next?
August non-farm payrolls badly missed expectations, pushing the market-implied probability of a September Fed cut to 100 %. Yet traders are treating the number as a harbinger of recession, not a green light for risk assets. Below are key takes from analysts, translated and edited for clarity. --- Tom Lee: “Rate-Cut Rally” Could Echo 1998 and 2024 Bitmine CEO Tom Lee expects the Fed to begin cutting in September. In both 1998 (LTCM bailout) and 2024 (regional-bank scare), equities and crypto r...

AI + DeFi = Financial Freedom? Unveiling How DeFAI Disrupts Fintech!
Artificial Intelligence (AI) is a technology that simulates human intelligence to perform tasks, capable of processing vast amounts of data, recognizing patterns, and providing decision support. Decentralized Finance (DeFi) is a financial system based on blockchain technology, aiming to provide financial services without intermediaries through smart contracts, such as lending, trading, and yield farming. In the fintech field, AI enhances the efficiency and precision of financial services thro...

DeepSeek Dominates the App Store: Chinese AI Stirring Up the Overseas Tech Scene
DeepSeek Disrupts the Overseas AI Community, Causing a Stir in Silicon Valley
Imagine you have a highly confidential on-chain private data processing task that requires a group of distributed data processors to complete. The problem is, these processors are one-time external collaborators and cannot be fully trusted. If you hand over the complete data to them, it's like giving them the entire confidential file. They might peek, copy, or even leak the data!
This is the ultimate challenge that blockchain faces today, severely limiting its expansion into broader fields. There is an urgent need for a solution!
These private data could come from various fields and projects, containing sensitive information such as personal financial records, medical data from the healthcare industry, and transaction data from the financial sector. These are high-value private data that cannot be handed over directly to data processors! Therefore, Nillion adopts a very ingenious approach:
Step 1:
1️⃣ Split the file into meaningless data fragments (similar to a jumbled set of puzzle pieces).
2️⃣ These fragments are meaningless on their own. Even if a processor peeks, they cannot know the complete information.
3️⃣ You distribute these fragments to different processors, so each person only has a small piece of random information.
Step 2:
Each data processor receives some random "puzzle pieces," but they have no idea: What the data is
Who it comes from
What the data means
The only thing processors can do is follow Nillion's instructions:
1️⃣ Addition: If you tell them to "add Fragment A + Fragment B," they will do it, but they won't know what these two data points specifically are.
2️⃣ Statistical Analysis: If you ask them to calculate "the average of all fragments," they can do it, but they won't know what the data represents.
3️⃣ AI Model Training: If you require them to train an AI model, they can provide the computing power, but they won't see any details of the training data.
🔥 Throughout the entire process, they follow instructions without ever knowing the value of the data they are processing!
Since its inception, the Nillion team has garnered the favor of many industry leaders!
⭐ On December 12, 2022, Nillion secured $20 million in funding from top-tier institutions, including Distributed Global*, GSR, Inception Capital, SALT Fund, and AU21 Capital.
📊 Its market value soared to $400 million, bringing it into the spotlight!
⭐ In 2024, Nillion received another $25 million in funding led by Hack VC*, HashKey Capital, Maelstrom Capital, Animoca Brands, and other industry heavyweights.
📊 Its market value approached $1 billion, making it a true superstar in the space!
Nillion is undoubtedly a top-tier technological powerhouse. It addresses the significant bottleneck currently faced by blockchain—data privacy. Many valuable ideas have been unable to materialize due to data privacy issues. Nillion's emergence is the final piece of the puzzle for these highly creative projects, sparking a new wave of innovation and creating vast potential for long-term development.
More importantly, with the AI era on the horizon, decentralized AI faces the challenge of handling private data during model training. There is an urgent need for a high-quality solution like Nillion. This not only secures significant short-term growth potential but also positions Nillion in a strong technological niche with little competition in the near future.
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Imagine you have a highly confidential on-chain private data processing task that requires a group of distributed data processors to complete. The problem is, these processors are one-time external collaborators and cannot be fully trusted. If you hand over the complete data to them, it's like giving them the entire confidential file. They might peek, copy, or even leak the data!
This is the ultimate challenge that blockchain faces today, severely limiting its expansion into broader fields. There is an urgent need for a solution!
These private data could come from various fields and projects, containing sensitive information such as personal financial records, medical data from the healthcare industry, and transaction data from the financial sector. These are high-value private data that cannot be handed over directly to data processors! Therefore, Nillion adopts a very ingenious approach:
Step 1:
1️⃣ Split the file into meaningless data fragments (similar to a jumbled set of puzzle pieces).
2️⃣ These fragments are meaningless on their own. Even if a processor peeks, they cannot know the complete information.
3️⃣ You distribute these fragments to different processors, so each person only has a small piece of random information.
Step 2:
Each data processor receives some random "puzzle pieces," but they have no idea: What the data is
Who it comes from
What the data means
The only thing processors can do is follow Nillion's instructions:
1️⃣ Addition: If you tell them to "add Fragment A + Fragment B," they will do it, but they won't know what these two data points specifically are.
2️⃣ Statistical Analysis: If you ask them to calculate "the average of all fragments," they can do it, but they won't know what the data represents.
3️⃣ AI Model Training: If you require them to train an AI model, they can provide the computing power, but they won't see any details of the training data.
🔥 Throughout the entire process, they follow instructions without ever knowing the value of the data they are processing!
Since its inception, the Nillion team has garnered the favor of many industry leaders!
⭐ On December 12, 2022, Nillion secured $20 million in funding from top-tier institutions, including Distributed Global*, GSR, Inception Capital, SALT Fund, and AU21 Capital.
📊 Its market value soared to $400 million, bringing it into the spotlight!
⭐ In 2024, Nillion received another $25 million in funding led by Hack VC*, HashKey Capital, Maelstrom Capital, Animoca Brands, and other industry heavyweights.
📊 Its market value approached $1 billion, making it a true superstar in the space!
Nillion is undoubtedly a top-tier technological powerhouse. It addresses the significant bottleneck currently faced by blockchain—data privacy. Many valuable ideas have been unable to materialize due to data privacy issues. Nillion's emergence is the final piece of the puzzle for these highly creative projects, sparking a new wave of innovation and creating vast potential for long-term development.
More importantly, with the AI era on the horizon, decentralized AI faces the challenge of handling private data during model training. There is an urgent need for a high-quality solution like Nillion. This not only secures significant short-term growth potential but also positions Nillion in a strong technological niche with little competition in the near future.

Recession Trade Overrides Rate-Cut Hopes: Where Do U.S. Equities and Crypto Go Next?
August non-farm payrolls badly missed expectations, pushing the market-implied probability of a September Fed cut to 100 %. Yet traders are treating the number as a harbinger of recession, not a green light for risk assets. Below are key takes from analysts, translated and edited for clarity. --- Tom Lee: “Rate-Cut Rally” Could Echo 1998 and 2024 Bitmine CEO Tom Lee expects the Fed to begin cutting in September. In both 1998 (LTCM bailout) and 2024 (regional-bank scare), equities and crypto r...

AI + DeFi = Financial Freedom? Unveiling How DeFAI Disrupts Fintech!
Artificial Intelligence (AI) is a technology that simulates human intelligence to perform tasks, capable of processing vast amounts of data, recognizing patterns, and providing decision support. Decentralized Finance (DeFi) is a financial system based on blockchain technology, aiming to provide financial services without intermediaries through smart contracts, such as lending, trading, and yield farming. In the fintech field, AI enhances the efficiency and precision of financial services thro...

DeepSeek Dominates the App Store: Chinese AI Stirring Up the Overseas Tech Scene
DeepSeek Disrupts the Overseas AI Community, Causing a Stir in Silicon Valley
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