Autheo正式上线主网，打造连接Web、区块链与AI的「互联网操作系统」
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Autheo officially launched mainnet, aiming to create an "Internet operating system" connecting the Web, blockchain, and AI.
According to BlockBeats, on June 30th, after five years of development, Autheo officially launched mainnet, introducing a decentralized coordination layer designed to enable native interoperability between traditional web, blockchain networks, and AI agents. The project's public beta has attracted over 1.81 million wallet addresses, approximately 970,000 smart contracts, and 8.8 million transactions. Since the first phase of the mainnet launch on May 12th, the number of wallets has increased more than fivefold, and the number of smart contracts has increased more than 15fold. In terms of technical architecture, Autheo integrates TheoID, a decentralized identity solution compliant with W3C standards; the PQCNet communication security framework built on NIST post-quantum cryptography standards (ML-KEM, ML-DSA, SLH-DSA); the Cosmos SDK Layer 0, which natively supports IBC interoperability; and a Layer 1 execution environment compatible with EVM. It adopts a proof-of-stake mechanism and provides block finality guarantees through CometBFT. Developers can natively deploy Solidity smart contracts or migrate existing applications from other EVM-compatible chains. Founded in July 2021 by Scott Bayless and Todd Mortenson, the project has a team of approximately 100 people located in 25 countries and has undergone security audits by Halborn and CertiK. Its native token, THEO, is expected to be listed for trading in early July on [date to be inserted here], with more trading platforms to follow.
The Cyberspace Administration of China has launched the first phase of its "Clean Internet: Rectifying the Chaos in AI Applications" special campaign.
According to BlockBeats, on July 6th, the "Clean Up the Internet: Rectifying the Chaos in AI Applications" campaign, launched in April 2026, has focused on addressing various issues in AI applications, including failure to fulfill registration obligations for large-scale models, insufficient security and filtering capabilities of AI platforms, AI data poisoning, and inadequate implementation of labeling for generated and synthesized content. The Cyberspace Administration of China (CAC) has deployed local cyberspace administration departments to further advance the first phase of key rectification tasks and established a "Special Reporting Area for AI Application Chaos" to specifically accept public reports. With the joint efforts of all parties, the first phase has resulted in the handling of over 14,000 AI products, including illegal websites, applications, and intelligent agents; the removal of over 6 million pieces of illegal and irregular information; the handling of over 26,000 accounts; and the removal of over 1,300 illegal AI products and 9 illegal open-source datasets. Positive progress has been made in all aspects of the work.
Liu Liehong: The release of industry data value has entered a new stage of in-depth advancement, and the National Data Administration will work with relevant departments to introduce targeted and specific measures.
Mars Finance reported on July 7th that Liu Liehong, Secretary of the Party Leadership Group and Director of the National Bureau of Data, attended and addressed the opening ceremony of the "2026 Global Digital Economy Conference" and the "Data Element Development Forum" held in Beijing from July 2nd to 3rd. Liu Liehong stated that with the implementation of the "531" work system, the potential of data elements is being released at an accelerated pace, and data circulation and utilization are showing new trends. First, the release of industry data value has entered a new stage of in-depth advancement. Enterprises should focus on the "three main battlefields" to realize their own value in deepening the circulation and utilization of industry data; local governments should focus on creating a strong data atmosphere to empower industrial transformation and promote high-quality economic development through data; the National Bureau of Data will work with relevant departments to introduce targeted and specific measures. Second, the solutions to key problems are becoming clearer. For example, adapting to the diverse data needs of artificial intelligence and solving the problems of "dispersed system construction, inconsistent standards, and difficulty in data sharing," the practice of using "technology empowerment" such as intelligent agent invocation to resolve the pain point of "data dispersion," and using "semantic unification" to solve the problem of "inconsistent formats" has begun to show results. Third, data empowerment for the innovative development of artificial intelligence is continuously deepening. On the supply side, we will accelerate the construction of a high-quality dataset supply system for the industry; on the circulation side, we will systematically optimize data usage rules and circulation models for artificial intelligence; on the application side, we will drive the data flywheel to accelerate through "analog-data resonance". (National Data Administration website)
The Cyberspace Administration of China announced the first phase of its campaign to rectify irregularities in AI applications, with over 14,000 non-compliant products dealt with.
According to Mars Finance, the Cyberspace Administration of China recently announced the progress of the first phase of the "Clean Up the Internet: Rectifying the Chaos in AI Applications" special campaign. Since its launch in April 2026, the campaign has focused on issues such as large-scale models failing to register as required, insufficient review and filtering capabilities, AI data poisoning, and inadequate implementation of content labeling. To date, the first phase has dealt with over 14,000 AI products, including illegal websites, applications, and intelligent agents; removed over 6 million pieces of illegal and irregular information; dealt with over 26,000 illegal accounts; and removed over 1,300 illegal AI products and 9 illegal open-source datasets. During the campaign, local cyberspace administrations in many regions have adopted targeted measures such as establishing coordinated regulatory mechanisms and setting up reporting channels. Key platform companies such as Huawei, Alibaba, Zhipu, and DeepSeek have also successively improved their registration review, content interception, and data anomaly detection mechanisms. The Cyberspace Administration of China stated that the next phase of its governance efforts will focus on combating prominent issues such as using AI technology to create and disseminate false information, spread vulgar content, impersonate others, infringe upon the rights of minors, and engage in online troll activities. It will further intensify investigations and urge platforms to improve their prevention and governance capabilities.
The protagonist of ByteDance's stock trading success story: CPI, non-farm payroll data, etc., are not just market noise; he previously suffered a significant drawdown in his Nvidia investment due to ignoring the interest rate hike environment.
According to BlockBeats, on July 5th, Leto Bao, the protagonist of the "ByteDance stock trading 30 million yuan" story, reviewed his journey to a 30 million yuan fortune in the US stock market on Binance Square. He stated that CPI, non-farm payrolls, and Federal Reserve policies are all macroeconomic factors, while earnings season reflects the performance of specific companies or industries, and also reflects changes in the macroeconomy. Leto Bao stated that the CPI (Consumer Price Index) is one of the key indicators monitored by the Federal Reserve. A high CPI usually indicates greater inflationary pressure; a low CPI may reflect deflationary pressure. The Federal Reserve's long-term goal is to maintain inflation at around 2%, which represents a moderate inflationary environment, meaning a slow depreciation of the currency, while investment, consumption, and credit activities are relatively healthy. Non-farm payroll data also influences market judgment. There is a certain correlation between overheated employment and inflation, but the relationship between macroeconomic indicators is complex and not a simple linear deduction. The Federal Reserve is responsible for formulating economic policies related to interest rates and serving the US economy through policy adjustments. Leto Bao believes that CPI, non-farm payrolls, Federal Reserve policies, and earnings season should not be simply dismissed as "noise," but all have some reference value. He mentioned that when he previously invested in Nvidia, he ignored the broader interest rate environment, leading to a significant drawdown in his account. Therefore, macroeconomic factors still need to be incorporated into investment decisions. Leto Bao is a former employee of ByteDance, known as the "ByteDance Stock Investor." He reportedly made substantial profits (around 30 million RMB) by investing in the AI storage sector in the US stock market and subsequently resigned. The story began when he noticed an abnormal price increase when buying hard drives on Pinduoduo, which prompted him to research data storage needs and heavily invest in related stocks.
Preview: The protagonist of the ByteDance stock trading spree who made 30 million yuan will appear on Binance Square live stream tomorrow night and answer questions from the audience.
According to BlockBeats, Leto Bao, the protagonist of the "ByteDance stock trading 30 million yuan" story, will be a guest on Binance Square on July 5th at 8 PM (UTC+8) to recount his journey to making 30 million yuan in US stocks and answer questions from the audience. Leto Bao is a former employee of ByteDance, known as "ByteDance Stock Trading Guy." He reportedly made a substantial profit of approximately 30 million yuan by investing in the AI storage sector in the US stock market, leading him to resign. The story began when he noticed an abnormal price increase when buying hard drives on Pinduoduo, which prompted him to research data storage needs and heavily invest in related stocks.