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first_img The Central Cyberspace Affairs Commission announced the results of the first phase of the rectification of chaotic AI applications, with over 14,000 non-compliant products dealt with

The Central Cyberspace Affairs Commission recently announced the progress of the first phase of the "Clear and Bright: Rectifying AI Application Chaos" special action. Since its launch in April 2026, this action has focused on issues such as large models not being registered as required, insufficient review and filtering capabilities, AI data poisoning, and inadequate implementation of content labeling. As of now, the first phase has dealt with over 14,000 AI products, including non-compliant websites, applications, and intelligent agents, cleaned up more than 6 million illegal and non-compliant pieces of information, handled over 26,000 non-compliant accounts, and removed over 1,300 non-compliant AI products and 9 non-compliant open-source datasets.During the special action, many local cyberspace departments have taken targeted measures such as establishing coordinated regulatory mechanisms and setting up reporting areas. Key platform companies such as Huawei, Alibaba, Zhiyu, and DeepSeek have also successively improved their registration review, content interception, and data anomaly detection mechanisms. The Central Cyberspace Affairs Commission stated that the next phase of governance will focus on cracking down on prominent issues such as the use of AI technology to create and disseminate false information, spread vulgar content, impersonate others, infringe on the rights of minors, and engage in internet water army activities, further increasing enforcement efforts and urging platforms to enhance their prevention and governance capabilities.

first_img AI impacts the job market for junior programmers, but the "non-developer" programming community is on the rise

According to a recent article by npm co-founder Laurie Voss, research from Stanford University's Digital Economy Lab based on ADP payroll data shows that since the end of 2022, the number of employed junior software developers aged 22 to 25 has decreased by 19%, and entry-level software development positions have dropped by 28% from their peak, with the unemployment rate for computer science graduates rising to 6.1%. However, the total number of developers employed in the U.S. has still grown by 4.4% during the same period, with the employment of senior developers aged 41 to 49 increasing by 14%. Data from the U.S. Bureau of Labor Statistics (BLS) further indicates that over the past year, the number of "computer programmer" positions primarily responsible for writing code on demand has decreased by 16%, while positions for data scientists and core software developers that require more architectural judgment have increased by 12% and 2%, respectively.At the same time, the proliferation of AI tools has led to an explosion in software creation. GitHub added a record 36 million accounts and 121 million code repositories last year, and the number of app submissions to the Apple App Store surged by 80% year-on-year in the first quarter of 2026. Data from platforms like Vercel and Lovable indicates that over 60% of new users are "non-traditional developers" such as product managers and analysts. Industry analysts warn that as AI replaces basic coding tasks, the traditional "junior to senior" engineer apprenticeship promotion path has been disrupted, raising concerns about the safety of AI-generated code and challenging the future sources of senior developers. However, the latest hiring data from platforms like Indeed shows that the demand for related entry-level positions hit bottom in May 2025 and has begun to show signs of rebound.

Vitalik proposed the "extremely simplified chain" solution, where validators submit STARK proofs daily, and the state storage is compressed to 6 bytes

Ethereum co-founder Vitalik Buterin published the proposal "The Extremely Lean Chain," demonstrating how to radically compress the state requirements of the Ethereum consensus chain in the context of the "Lean" upgrade. This plan shifts responsibility to validators, who manage and periodically prove their state through ZK proofs, thereby eliminating the processing burden for each epoch and potentially supporting millions of validators.The core mechanisms include: removing the validator public keys from the on-chain state, storing only the deposit tree index; canceling real-time reward and penalty processing, with validators generating daily STARK proofs of their participation and updating balances; completely re-randomizing validator identities daily, achieving strong anonymity through ZK-STARK, with withdrawal addresses exposed only at the time of withdrawal and not publicly linked to deposits or on-chain activities. Vitalik stated that based on upgrades such as single-slot finality and quantum-resistant signature aggregation, the state requirement per validator could be compressed from approximately 180 bytes to 6 bytes. The daily proof cost for a single validator requires processing about 5400 Merkle branches, which can be completed within 1 hour on ordinary hardware, and the on-chain burden can be reduced through aggregated proofs. Additionally, this design can achieve a "virtually free" single secret leader election function, with 1 day as the conservative cycle length and 1 hour as the lower limit.
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