Spotify抨击AI音乐,呼吁给人类公平的报酬

币界网Опубликовано 2024-08-10Обновлено 2024-08-10

币界网报道:

Spotify的内容审核受到了审查,因为这家流媒体巨头似乎正在向消费者推荐人工智能生成的音乐。该平台将“验证艺术家”徽章固定在据称不存在的艺术家身上,这些艺术家的deepfake音乐已经播放了数十万次。

Fairly Training的首席执行官、Stability AI的前音频副总裁Ed Newton-Rex抱怨说,这个漏洞威胁到了人类艺术家的流媒体份额。据《快公司》报道,他说:“很明显,这将蚕食支付给真正的人类音乐家的版税和收入流。”。

Spotify敦促禁止未经同意使用AI音乐

虽然Spotify没有取缔人工智能生成的内容,但这位受过良好训练的首席执行官认为这是对人类艺术家的双重偏见。用于制作音乐的人工智能应用程序正在利用人类艺术家的作品,而没有对其进行补偿。

Newton Rex表示:“Spotify不应该直接允许在平台上使用音乐,因为人们严重担心这些音乐会在未经许可的情况下接受其他音乐家作品的培训。”Newton Rex的非营利组织授权人工智能公司进行公平的数据来源。

对于允许的AI音乐,伦理学家认为:

“他们(Spotify)应该给它贴上标签,这样人们就可以选择是否听它……我认为Spotify可能不应该推荐它。”

关于人工智能艺术家的一个危险信号是Spotify之外缺乏在线或媒体存在。一个所谓的假货例子,Jet Fuel&Ginger Ales,有一个经过验证的徽章,每月有414500名听众。

其他例子包括Awake Past 3、Gutter Grinders和所谓的“Citrus Reticulata”标签艺术家Sofia Pitcher、Jefferson Petersen、Zolia Zayas、Alvaro Cantu、Isabella Carpinelli、Diego Tobia、Craig Penry和Saul Deleon等乐队。

在2023年12月至2024年3月期间,据称不存在的Sofia Pitcher每月有3000名听众。她的失踪很可能是Spotify采取警戒行动的结果。

皮彻被删除的专辑《石器时代》由十首器乐歌曲组成,这些歌曲的播放时间从未超过一分半钟。虽然看似概念性的,但她的歌曲标题“Rock”、“Cave”、“Hunter”和“Clan”可能很简单,以至于在主播的注意力范围内犯了错误。

Spotify因推荐AI音乐而受到批评

人工智能被视为“快速赚钱”的一种方式

据《快公司》报道,流媒体专家Enric Calabuig表示,虚假的Spotify标签可能涉及流媒体农业——这是一种在数百个移动终端上分布的高级账户生成自动回放的做法。

Playlist Alert创始人Kieron Donoghue认为AI歌曲的激增是无害的。他说:“这只是一些人试图快速赚钱的例子,就像他们在Spotify上一直做的那样。”。“我不认为这是对任何人生计的威胁。”

随着坎耶·维斯特(Kanye West)和阿姆(Eminem)等主流音乐家转向人工智能来制作更早或更强烈的声音版本,这一趋势成为人们关注的焦点。

Eminem通过Metaphysics复活了他的另一个自我Slim Shady,这是一家在人工智能时代为艺术家提供声音或面部肖像等生物识别数据所有权的公司。

Похожее

Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

Analysis of Bitcoin Trading Strategies: Why Celebrity Forecasts and Classic Models Fail, Leaving Only These Four Reliable Indicators This analysis examines the failure of common Bitcoin prediction methods and identifies four reliable indicators for constructing a trading strategy. The author reviewed all major BTC prediction approaches from 2017-2025, categorizing them into three groups: celebrity price targets (consistently over-optimistic), analytical models like Stock-to-Flow (broken post-2022), and on-chain signals. The key finding is that more data often creates confusion, not clarity. The strategy discards unreliable elements: celebrity predictions (incentivized to be extreme), pure models (invalidated by post-ETF market changes), and the Fear & Greed Index used alone (too many false signals). Four reliable indicators were selected: 1. **MVRV Z-Score:** Accurately identifies cycle bottoms when entering its green zone (e.g., 2018, 2020, 2022). Note: Its ability to call tops is now ineffective post-2024. 2. **SOPR (28-day MA):** Consistently signals bottoms when below 1.0, indicating holders are selling at a loss. 3. **ETF Net Flow:** A crucial post-2024 metric showing institutional momentum (e.g., sustained inflows = buying). 4. **Macro Liquidity (Fed policy & M2):** Sets the overall directional bias (e.g., bullish during easing cycles). The core strategy involves waiting for a multi-signal共振 (resonance). For example, a bottom signal requires MVRV in the green zone + SOPR < 1.0. A top signal requires overheated on-chain data + sustained ETF outflows. Macro policy sets the overall direction. The Fear & Greed Index is only used as a weighted confirmatory signal, never alone. Action is only taken when three or more indicators align. The author automated this into a monitoring system that sends Telegram alerts only when signals trigger. As of the article's date (April 15, 2026), the system showed a strong bottom signal: extreme fear (F&G=12), MVRV in the buy zone, and SOPR < 1.0. The only contrary signal was weak ETF flows. Historically, such triple on-chain共振 has preceded 100%+ returns. The conclusion emphasizes building a personal framework over relying on external predictions, allowing for iterative improvement and customization based on individual risk tolerance.

marsbit2 ч. назад

Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

marsbit2 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Неделя обучения по популярным токенам (2): 2026 может стать годом приложений реального времени, сектор AI продолжает оставаться в тренде

2025 год — год институциональных инвесторов, в будущем он будет доминировать в приложениях реального времени.

1.8k просмотров всегоОпубликовано 2025.12.16Обновлено 2025.12.16

Неделя обучения по популярным токенам (2): 2026 может стать годом приложений реального времени, сектор AI продолжает оставаться в тренде

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на AI (AI) представлены ниже.

活动图片