Zhou Shen's New Song 'Chronicle of the Moon' Released: Clearly Marked as Strictly Prohibited for AI Training and Voice Imitation

marsbit2026-04-02 tarihinde yayınlandı2026-04-02 tarihinde güncellendi

Özet

On April 1, Chinese singer Zhou Shen released the theme song "Yue Zhi Ji" for the fantasy drama "Yue Lin Qi Ji," with a notable copyright declaration explicitly prohibiting the use of the work for artificial intelligence (AI) training. This marks the first case in China where such a restriction was imposed at the time of a song’s release, setting a precedent for protecting vocal rights and creative sovereignty in the digital age. The statement specifies that unauthorized use—including covers, re-recording, remixing, or distribution—is strictly forbidden. It explicitly bans the use of the work in AI training, imitation, learning, or generation activities, addressing growing concerns over AI voice replication and algorithm-driven music plagiarism. Zhou Shen has previously emphasized that while AI can achieve technical precision, it cannot replicate the emotional depth and artistic essence of human performance. As AI music commercializes by 2026, this proactive measure establishes a legal and technical framework to safeguard original vocal works and clarifies authorization standards for AI training data. Industry experts believe such declarations will simplify copyright enforcement by establishing intent at the source. Leading artists like Zhou are helping define ethical and legal boundaries for human-AI collaboration, reaffirming that irreplaceable human emotion remains central to artistic creation.

On April 1, renowned Mandopop singer Zhou Shen released the theme song 'Chronicle of the Moon' for the ancient costume fantasy drama 'Moon Scale Chronicles,' with a clear copyright notice in the song's introduction and lyric sheet stating 'Prohibited for Artificial Intelligence (AI) Training.' This move marks the first case in China where copyright red lines were drawn against AI technology at the time of the work's release, signaling that musicians have entered a new phase of 'digital defense' in protecting their voice rights and creative sovereignty.

The notice specifies in detail: Without the written permission of the copyright owner, any use or distribution (including covers, re-recordings, remixes, etc.) is strictly prohibited; without authorization, the work is strictly forbidden for use in AI training, imitation, learning, generation, and other activities. This directly addresses the increasingly rampant phenomena of 'AI voice cloning' and 'algorithmic song washing' in the industry. Zhou Shen has previously expressed a rational perspective on AI technology in public, emphasizing that while AI can achieve extreme precision through algorithms, it cannot replicate the 'vivid emotions' and artistic soul honed through repeated refinement in human singing.

In 2026, as AI music enters commercial exploration, this 'hardcore' notice not only builds a technical firewall for original voices but also provides a standardized paradigm for addressing the authorization legitimacy of AI training data. Industry experts believe that this approach, which locks in intentional infringement from the source of the work, will significantly lower the threshold for evidence in subsequent copyright enforcement. With leading artists taking the initiative, the music industry is accelerating the construction of legal consensus on the boundaries of human-machine collaboration, reaffirming that irreplaceable human emotion remains the core moat of artistic creation amid the wave of technological advancement.

İlgili Sorular

QWhat is the title of Zhou Shen's new song and what specific copyright declaration does it carry?

AThe title of Zhou Shen's new song is '月之纪' (Yue Zhi Ji), and it carries a copyright declaration that explicitly prohibits its use for AI training and voice imitation.

QWhy is Zhou Shen's copyright statement for '月之纪' considered a landmark case in China?

AIt is considered a landmark case because it is the first instance in China where a copyright statement specifically prohibiting use for AI training was issued at the time of a work's release, setting a precedent for digital copyright protection.

QAccording to the article, what specific uses of the song are strictly prohibited without written permission?

AWithout written permission, it is strictly prohibited to use the song in any way, including cover versions, re-recording, remixing, or for AI training, imitation, learning, and generation activities.

QWhat does Zhou Shen believe is the key difference between AI-generated music and human performance?

AZhou Shen believes that while AI can achieve extreme precision through algorithms, it cannot replicate the 'vivid emotion' and artistic soul that comes from the meticulous polishing of a human performance.

QWhat broader industry impact does the article suggest Zhou Shen's declaration could have?

AThe article suggests that this declaration sets a standardized model for the legitimacy of AI training data authorization and helps build a legal consensus on the boundaries of human-AI collaboration, reinforcing that irreplaceable human emotion is the core of artistic creation.

İlgili Okumalar

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit8 dk önce

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit8 dk önce

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbit8 dk önce

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbit8 dk önce

Suspected 4th Coldcard attack wave sweeps 389 Bitcoin: Galaxy’s Thorn

Coldcard hardware wallet users are facing a new wave of coordinated attacks targeting a firmware flaw, with researcher Alex Thorn flagging 218 recent transactions moving approximately 389 Bitcoin from potentially impacted addresses. The attack pattern shows a high rate of transactions targeting unique victim addresses, differing from previous waves. The vulnerability, which causes affected devices to generate weaker wallet seeds, is estimated to have impacted over 1,100 wallets, leading to around $90 million in Bitcoin stolen. Thorn advises affected users who control their keys may attempt to move funds with a higher-fee transaction before the attacker's transactions are confirmed.

cointelegraph15 dk önce

Suspected 4th Coldcard attack wave sweeps 389 Bitcoin: Galaxy’s Thorn

cointelegraph15 dk önce

Bitcoin Miners Are Waving the White Flag, But Their Stocks Are Soaring

Bitcoin miners are capitulating as evidenced by a sustained drop in network hash rate and a record-steep 19.9% decline in mining difficulty, signaling the shuttering of unprofitable machines. However, in a significant divergence from historical patterns, the stocks of publicly traded mining companies have soared, with one major player gaining over 430% in the past year, even as BTC's price fell roughly 46%. This surge is largely attributed to these companies pivoting toward the more lucrative AI narrative. Simultaneously, miners face a structural squeeze. Daily block reward revenue in BTC terms has hit a new all-time low following the latest halving, with current dollar-denominated daily revenue around $30 million compared to a longer-term average of ~$40 million. Fee revenue remains negligible, covering less than one block's subsidy over a 28-day average and accounting for only about ten minutes of the network's daily security budget. This capitulation cycle is unique: miner stress and crypto price weakness have decoupled due to alternative revenue streams (AI), while the long-term reliance on increasing bitcoin prices to offset shrinking subsidies continues, with fee income still far from filling the impending gap.

marsbit18 dk önce

Bitcoin Miners Are Waving the White Flag, But Their Stocks Are Soaring

marsbit18 dk önce

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

The market's expectation for a September Fed rate hike surged dramatically in early August, jumping from under 50% to over 80% within a week. This shift followed a contentious July FOMC meeting, where a 9-3 vote to hold rates revealed growing dissent from hawkish members advocating for an immediate hike to combat persistent inflation. The primary catalyst for this repricing is rising oil prices, driven by renewed geopolitical tensions around the Strait of Hormuz, which threaten global supply. Energy costs directly influence inflation metrics, making the upcoming July CPI report (due August 12th) a critical data point. If it shows inflation reaccelerating, the probability of a September hike will solidify. For Bitcoin and crypto assets, this is typically bearish news. Bitcoin continues to behave as a high-beta, liquidity-sensitive risk asset. A rate hike raises the opportunity cost of holding non-yielding assets and could drive capital toward money markets, pressuring crypto prices in the short term. However, historical patterns suggest that if a hike is perceived as the end of a tightening cycle rather than the start, any negative price impact may be brief. U.S. stocks, particularly crypto-linked equities like Coinbase and growth-oriented tech stocks, are also vulnerable. Higher rates increase discount rates in valuation models, putting pressure on high-multiple companies. This coincides with a pivotal tech earnings season where investor focus has shifted from massive AI capital expenditure to tangible revenue and cash flow generation. Companies with negative cash flow and weak growth narratives could face heightened volatility if borrowing costs rise in September. In summary, a September Fed hike has evolved into a mainstream market scenario. Key factors to watch are oil prices, the July CPI report, and Fed communications, which will determine the final decision and its impact on volatile crypto and equity markets.

marsbit18 dk önce

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

marsbit18 dk önce

İşlemler

Spot
活动图片