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前交易所资深PM，现web3 律师，普法微信公众号：初焱
专注于创新项目研究、链上数据挖掘、币圈监管政策解读、币圈刑事辩护、民事投资理财纠纷处理
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The WLD project sells tokens at market price OTC?
Source: worldcoin official website
On April 23, 2024, Worldcoin officially announced that it would sell WLD tokens to institutions at a price close to the market price, but the sales quantity was not announced. However, Bybit top trader DeFi^2 (@DefiSquared) revealed that the Worldcoin Foundation would sell an additional $200 million worth of tokens to trading companies. After the news was released, the price of WLD fell sharply, and some large investors began to charge WLD into the exchange to liquidate their positions. So what is the real situation of the WLD project selling tokens at present? The following will be analyzed through on-chain data.
Since the announcement was released, there have been multiple large transfers from the multi-signature address 0x59a of the wld project. Part of the transferred wld flowed into the multi-signature address 0xE79 controlled by another project party, and part of it crossed the chain and entered the OP.
On April 23, 2024, Worldcoin officially announced that it would sell WLD tokens to institutions at a price close to the market price, but the sales quantity was not announced. However, Bybit top trader DeFi^2 (@DefiSquared) revealed that the Worldcoin Foundation would sell an additional $200 million worth of tokens to trading companies. After the news was released, the price of WLD fell sharply, and some large investors began to charge WLD into the exchange to liquidate their positions. So what is the real situation of the WLD project selling tokens at present? The following will be analyzed through on-chain data.
Since the announcement was released, there have been multiple large transfers from the multi-signature address 0x59a of the wld project. Part of the transferred wld flowed into the multi-signature address 0xE79 controlled by another project party, and part of it crossed the chain and entered the OP.
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Analyzing the crash of 49,800 BTC confiscated in a US dark web fraud case through on-chain data
Early this morning, the address marked as Silk Road DOJ Confiscated Funds by Arkham transferred 29,800 BTC to two new addresses, bc1qla and bc1qng.
Through on-chain tracing, we can see that the total number of confiscated BTC is 49,800, which was transferred from the address of the suspect JAMES ZHONG to the US government's special case custody address on March 25, 2022.
The website of the U.S. Department of Justice shows that the BTC confiscated by the U.S. Department of Justice originated from a wire fraud case in September 2012. According to the description of the U.S. prosecutor, James Zhong stole 50,000 bitcoins from Silk Road through wire fraud. In the next 10 years, he managed to conceal his actions and the source of his wealth. Zhong used decentralized bitcoin mixers, overseas cryptocurrency exchanges, and an impressive array of technical tools to thwart tracking efforts. But thanks to the law enforcement agencies’ unremitting and skilled efforts in tracking funds, the federal government discovered Zhong’s conspiracy and eventually obtained the confiscation of more than 51,680 bitcoins.
Through on-chain tracing, we can see that the total number of confiscated BTC is 49,800, which was transferred from the address of the suspect JAMES ZHONG to the US government's special case custody address on March 25, 2022.
The website of the U.S. Department of Justice shows that the BTC confiscated by the U.S. Department of Justice originated from a wire fraud case in September 2012. According to the description of the U.S. prosecutor, James Zhong stole 50,000 bitcoins from Silk Road through wire fraud. In the next 10 years, he managed to conceal his actions and the source of his wealth. Zhong used decentralized bitcoin mixers, overseas cryptocurrency exchanges, and an impressive array of technical tools to thwart tracking efforts. But thanks to the law enforcement agencies’ unremitting and skilled efforts in tracking funds, the federal government discovered Zhong’s conspiracy and eventually obtained the confiscation of more than 51,680 bitcoins.
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Can the mixing protocol Railgun achieve a balance between on-chain privacy and regulatory compliance in the crypto world?
Preface
In November 2024, the Fifth Circuit Court ruled that the sanctions imposed by the U.S. Treasury Department's Office of Foreign Assets Control (OFAC) on the mixing service Tornado Cash violated the International Emergency Economic Powers Act (IEEPA). The Fifth Circuit Court held that the smart contract of Tornado Cash is decentralized, self-operating, and uncontrollable code that cannot be owned, is not property, and should not be included in the OFAC sanctions list, and that OFAC's sanctions exceeded its statutory authority.
Although the Fifth Circuit Court's ruling on the Tornado Cash case is seen as a victory for the crypto industry, the undeniable fact is that North Korean hackers and coin theft criminal organizations are indeed using Tornado Cash for money laundering to evade regulatory enforcement sanctions. So, can we ensure on-chain privacy for crypto users under the premise of legality and compliance in the crypto world? Today, I will share how the mixing protocol Railgun complies with regulations to protect user on-chain privacy.
In November 2024, the Fifth Circuit Court ruled that the sanctions imposed by the U.S. Treasury Department's Office of Foreign Assets Control (OFAC) on the mixing service Tornado Cash violated the International Emergency Economic Powers Act (IEEPA). The Fifth Circuit Court held that the smart contract of Tornado Cash is decentralized, self-operating, and uncontrollable code that cannot be owned, is not property, and should not be included in the OFAC sanctions list, and that OFAC's sanctions exceeded its statutory authority.
Although the Fifth Circuit Court's ruling on the Tornado Cash case is seen as a victory for the crypto industry, the undeniable fact is that North Korean hackers and coin theft criminal organizations are indeed using Tornado Cash for money laundering to evade regulatory enforcement sanctions. So, can we ensure on-chain privacy for crypto users under the premise of legality and compliance in the crypto world? Today, I will share how the mixing protocol Railgun complies with regulations to protect user on-chain privacy.
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The key to confiscating illegal gains from 'climbing over the wall' for cryptocurrency trading lies in the studio's business operations
Since the cryptocurrency exchanges and project parties have gone overseas, the main propaganda battlefield for cryptocurrency has shifted from domestic media to overseas social media such as Twitter and Telegram. Many cryptocurrency traders need to use 'VPNs' to climb over the wall to obtain information and participate in cryptocurrency trading. Recently, a screenshot of an administrative penalty for 'climbing over the wall' while trading cryptocurrencies has caused heated discussions. For domestic cryptocurrency users, what are the legal risks of using 'VPNs' to trade cryptocurrencies, and why would their trading profits be confiscated? Today, I will share my views.
1. Legal qualification of 'climbing over the wall' behavior
'Climbing over the wall' behavior itself is illegal
1. Legal qualification of 'climbing over the wall' behavior
'Climbing over the wall' behavior itself is illegal
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VANA: Breaking Data Silos, Supporting AI Model Training
In the era of artificial intelligence, the importance of data is self-evident. As the foundation for AI large models, the quality of the training data source determines the capabilities of AI and the user experience of the product. Internet technology giants with large, multi-dimensional business data have a scenario advantage, and through years of data accumulation during the operation of internet platforms and existing user usage scenarios, they can generate a large amount of private data, giving them a clear advantage in model training optimization.
After the early AI products went live, they relied on feedback from their user base and product interactions to fine-tune their models, creating a data flywheel effect that continuously optimizes iterations. This will become a moat for AI products in the future. However, start-ups in the AI sector struggle with insufficient quantity and quality of data sources to train their models, and these data barriers and the formation of data silos will hinder the development of artificial intelligence.
After the early AI products went live, they relied on feedback from their user base and product interactions to fine-tune their models, creating a data flywheel effect that continuously optimizes iterations. This will become a moat for AI products in the future. However, start-ups in the AI sector struggle with insufficient quantity and quality of data sources to train their models, and these data barriers and the formation of data silos will hinder the development of artificial intelligence.
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Discussing whether the regulatory direction for virtual currencies in China has really changed in light of recent judicial cases.
Recently, two cases involving virtual currencies from the Shanghai High Court and the Lianshui Court of Jiangsu have sparked much discussion among friends in the circle, with some believing that domestic regulation of virtual currencies has shifted, allowing individuals to legally hold Bitcoin and other virtual currencies, thus providing protection for virtual currencies domestically. While I also hope that domestic regulatory policies will be more friendly to the industry and that judicial practice will severely crack down on illegal activities such as theft and fraud while balancing the interests of both parties in cryptocurrency-related cases, is this really the case? Today, I will discuss the true situation of domestic virtual currency regulation in light of recent judicial cases.
web3 Sora$LPT
#
#
Combining AI and Web3: Web3 version of Sora - Livepeer
Recently, with the listing of AI-based tokens such as io.net and Aethir on top exchanges such as Binance and OKX, more and more projects combining with AI have emerged in Web3. Can Web3 use its own technological advantages to promote the AI revolution and subvert the industry? What are the application scenarios that can be implemented in the process of combining Web3 with AI? The author will share with you the AI applications in Web3 through a series of articles.
1. Competition in AI Big Models
The competition for large AI models mainly focuses on three aspects: computing power, algorithms, and data.
If traditional technology giants want to enter the AI big model field, they must first consider the high training and debugging costs of the big models in the early stage. Tian Qi, chief scientist of Huawei Cloud's artificial intelligence field, mentioned in his speech at the AI Big Model Technology Summit that the single cost of big model development and training is as high as 12 million US dollars. OpenAI CEO Sam Altman also mentioned that the training cost of GPT-4 exceeds 100 million US dollars, of which GPU computing power costs account for the majority of the entire training cost.
1. Competition in AI Big Models
The competition for large AI models mainly focuses on three aspects: computing power, algorithms, and data.
If traditional technology giants want to enter the AI big model field, they must first consider the high training and debugging costs of the big models in the early stage. Tian Qi, chief scientist of Huawei Cloud's artificial intelligence field, mentioned in his speech at the AI Big Model Technology Summit that the single cost of big model development and training is as high as 12 million US dollars. OpenAI CEO Sam Altman also mentioned that the training cost of GPT-4 exceeds 100 million US dollars, of which GPU computing power costs account for the majority of the entire training cost.
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Analyze the rights protection path of domestic NFT digital collection users based on cases
Recently, the market of altcoins has been hot, and many old projects have doubled in price in just a few days. However, many NFT projects born in the last bull market have performed poorly in the trading market due to liquidity issues. In China, in recent years, some NFT digital collection platforms have cooperated with various well-known IPs to jointly issue NFT digital collections, and planned a series of empowerment and holding rights for NFT digital collections at the time of issuance. However, due to supervision and market conditions, the empowerment was postponed, the price plummeted, and eventually users defended their rights. Today, let’s talk about the rights protection path of domestic NFT digital collections based on cases.
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Yesterday, the address related to the FTX case seized by the U.S. government transferred over $30 million worth of ETH, BUSD, SHIB, POWR, and other tokens to the new address 0x9Ac. This batch of tokens was withdrawn from Binance US in March last year.
In addition, this morning, the Mt. Gox address transferred 27 billion dollars worth of 27,000 BTC to a new address.
$BTC
#BTC新高10W
In addition, this morning, the Mt. Gox address transferred 27 billion dollars worth of 27,000 BTC to a new address.
$BTC
#BTC新高10W
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Just now, the coins seized by the US government from the Silk Road case were transferred to a new address. Will they be sold? Will there be a big fluctuation? $BTC
#比特币打破感恩节魔咒
#比特币打破感恩节魔咒
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Yesterday, address 0xBb6 received nearly 5 million USD worth of ZRO from the ZRO project team's airdrop address and multi-signature address. This address received 1.18 million USD worth of ZRO from the multi-signature address a month ago. Currently, this address holds a total of 1 million ZRO worth 5.69 million USD.
#山寨币走势展望 #zro
#山寨币走势展望 #zro
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LPT is relatively strong recently, let's take a look at this research report on LPT. #AI与GameFi市场表现
Combining AI and Web3: Web3 version of Sora - Livepeer
Recently, with the listing of AI-based tokens such as io.net and Aethir on top exchanges such as Binance and OKX, more and more projects combining with AI have emerged in Web3. Can Web3 use its own technological advantages to promote the AI revolution and subvert the industry? What are the application scenarios that can be implemented in the process of combining Web3 with AI? The author will share with you the AI applications in Web3 through a series of articles.
1. Competition in AI Big Models
The competition for large AI models mainly focuses on three aspects: computing power, algorithms, and data.
If traditional technology giants want to enter the AI big model field, they must first consider the high training and debugging costs of the big models in the early stage. Tian Qi, chief scientist of Huawei Cloud's artificial intelligence field, mentioned in his speech at the AI Big Model Technology Summit that the single cost of big model development and training is as high as 12 million US dollars. OpenAI CEO Sam Altman also mentioned that the training cost of GPT-4 exceeds 100 million US dollars, of which GPU computing power costs account for the majority of the entire training cost.
1. Competition in AI Big Models
The competition for large AI models mainly focuses on three aspects: computing power, algorithms, and data.
If traditional technology giants want to enter the AI big model field, they must first consider the high training and debugging costs of the big models in the early stage. Tian Qi, chief scientist of Huawei Cloud's artificial intelligence field, mentioned in his speech at the AI Big Model Technology Summit that the single cost of big model development and training is as high as 12 million US dollars. OpenAI CEO Sam Altman also mentioned that the training cost of GPT-4 exceeds 100 million US dollars, of which GPU computing power costs account for the majority of the entire training cost.
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Will the contract be invalid if I purchase Bitcoin mining machines and deploy them overseas due to violation of green principles?
Recently, the official account of the Jiahe County People's Court of Hunan Province published an article titled (Case Study | Jiahe Court: Virtual currency "mining machine" transaction contracts are invalid, and losses are borne by oneself!), in which the case involved a Bitcoin mining machine transaction contract with a case value of over 100 million yuan, which was invalid due to violation of green principles.
Because I participated in the second instance of this case, I understand and grasp some facts that are not disclosed in the article, and I have some different views on this case, so today I would like to discuss with you the controversial points in this case.
Brief introduction of case facts
Because I participated in the second instance of this case, I understand and grasp some facts that are not disclosed in the article, and I have some different views on this case, so today I would like to discuss with you the controversial points in this case.
Brief introduction of case facts
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6 hours ago, the market maker Amber received ID worth 10.41 million USD from the ID project party, then deposited ID worth 3.65 million USD into Binance.
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Using on-chain data to look at the short-term operations of big investors before Binance launched the WHY contract
Binance Announcement of WHY Launch Time: 2024-11-25 17:35
Address 0x8c9 withdrew two WHYs from bitget at 13:54:05 and 13:47:05 on 2024/11/25, and then transferred them to the new address 0x548 at 16:39 and 41, with the amounts of 3.013T and 111M respectively. The 111M should be a small test.
Start selling through Cake at 17:00:13 on 2024/11/25 and continue selling until 17:25:55, and convert all the transferred WHY into BNB. Ten minutes later, Binance starts to release the online contract announcement.
In addition, the address 0x526 associated with the new address 0x548 withdrew 363BNB from Binance at 12:24:53 and 39 minutes on 2024/11/25. Then, starting from 12:27, all of it was exchanged for 703B of why through cake and charged into the gate.
Address 0x8c9 withdrew two WHYs from bitget at 13:54:05 and 13:47:05 on 2024/11/25, and then transferred them to the new address 0x548 at 16:39 and 41, with the amounts of 3.013T and 111M respectively. The 111M should be a small test.
Start selling through Cake at 17:00:13 on 2024/11/25 and continue selling until 17:25:55, and convert all the transferred WHY into BNB. Ten minutes later, Binance starts to release the online contract announcement.
In addition, the address 0x526 associated with the new address 0x548 withdrew 363BNB from Binance at 12:24:53 and 39 minutes on 2024/11/25. Then, starting from 12:27, all of it was exchanged for 703B of why through cake and charged into the gate.
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Under what circumstances will trading USDT in the cryptocurrency circle involve the crime of concealment?
In the process of OTC buying and selling U in the virtual currency circle, receiving funds of unknown origin often leads to frozen cards, and more serious cases may involve criminal offenses. In criminal cases involving withdrawals, common charges include the crime of concealing, hiding criminal proceeds, and their generated benefits.
The crime of concealment protects the legal interests of judicial order and financial management order. If criminal funds from upstream are transferred to accounts during the process of selling U and withdrawing money, it is equivalent to helping the criminal group transfer stolen funds, which can easily constitute this crime.
1. Under what circumstances will it constitute the crime of concealment?
The crime of concealment protects the legal interests of judicial order and financial management order. If criminal funds from upstream are transferred to accounts during the process of selling U and withdrawing money, it is equivalent to helping the criminal group transfer stolen funds, which can easily constitute this crime.
1. Under what circumstances will it constitute the crime of concealment?
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In the last two days, address 0x06b has charged 2 million OM worth 8 million USD to Falcoinx. This address has accumulated a total of 14.9 million OM charged to FalcoinX in the past six months. On-chain data shows that these OM come from addresses associated with the project party.
$OM
$OM
Falconx has withdrawn 6 million OM worth 23 million USD within 24 hours. This address has withdrawn 15 million OM from Falconx in the past six months, currently valued at 60 million USD.
$OM
$OM
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Falconx has withdrawn 6 million OM worth 23 million USD within 24 hours. This address has withdrawn 15 million OM from Falconx in the past six months, currently valued at 60 million USD.
$OM
$OM
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In the past three days, address 0xDe3 recharged 6 million GRT to Binance through the transit address. The GRT of this address came from the withdrawal of coins from Coinbase Prime and the staking unlocking 10 months ago.
In addition, address 0x73b recharged 10 million GRT to Binance. The GRT of this address came from 24.24 million GRT worth 4.31 million US dollars that was pledged and unlocked 2 weeks ago.
$GRT #英伟达财报即将公布
In addition, address 0x73b recharged 10 million GRT to Binance. The GRT of this address came from 24.24 million GRT worth 4.31 million US dollars that was pledged and unlocked 2 weeks ago.
$GRT #英伟达财报即将公布
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According to the on-chain data, the current circulation of LTC is mainly concentrated in exchanges. Binance's large address is currently the largest LTC holder, and Robinhood is the third largest platform, with an address holding 102w LTC. Binance's hot and cold wallet addresses hold a total of 6.52w LTC, OKX addresses hold a total of 2.85w LTC, and bybit holds 96w LTC. #LTC提案ETF