The Rundown AI -每日精选 07月31日
Viral band exposed as AI rockstars
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一支名为“The Velvet Sundown”的AI乐队在Spotify上获得了超过50万的月度听众,但随后被揭露为一次“艺术恶搞”。该乐队的音乐由Suno AI生成,其零数字足迹和迅速走红引发了音乐界和Reddit用户的质疑。尽管最初否认,乐队成员承认使用了Suno的“Persona”功能来保持一致的声线。这一事件引发了对AI生成内容未来发展的讨论:当AI创作的内容足够优秀时,其“真实”创造者的身份是否还重要?这可能预示着AI在音乐领域的广泛应用,以及用户对内容本身而非创造者来源的接受度将日益提高。

🎵 AI乐队“The Velvet Sundown”在Spotify上迅速走红,获得了超过50万月度听众,但随后被揭露为一次“艺术恶搞”,其音乐均由Suno AI生成。这一事件引发了对AI在音乐产业中应用的广泛关注和讨论。

📈 该乐队在没有任何数字足迹的情况下出现在各大流媒体平台,并通过Spotify的30多个播放列表传播,显示出AI生成内容在现有平台上的传播潜力和挑战。音乐平台Deezer曾标记了潜在的AI使用,但Spotify未设相关披露要求。

🗣️ 乐队成员最初否认AI创作的说法,称其为“营销和 trolling”,但随后承认使用了Suno的“Persona”功能来创造一致的声线。这暴露了AI生成内容在模仿和维持特定风格方面的能力。

❓ 这一事件的核心问题在于,当AI生成的内容(如音乐)在质量上足以吸引大量听众时,其“真实”创造者的身份是否还重要?这类似于V-tubers的现象,即内容本身可能比创造者的真实身份更能赢得受众的喜爱和消费。

🚀 预示着AI在音乐和其他创意领域可能扮演越来越重要的角色,未来的AI模型和输出将更加难以辨别真伪。用户对AI生成内容的接受度可能会随着其质量的提升而增加,即使不了解其非人类的起源。

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Good morning, {{ first_name | AI enthusiasts }}. A viral band just proved that AI-generated music can thrive on Spotify — as long as nobody asks too many questions.

After hitting 500k monthly listeners before being outed as an "art hoax," Suno-powered band “The Velvet Sundown” might be a case for the future of music in the AI age… Whether fans realize it or not.


In today’s AI rundown:

    AI band hits 500k listeners, admits to Suno use

    Sakana AI teaches models to team up

    Accelerate development workflows with Gemini CLI

    Scientists build an AI that can think like humans

    4 new AI tools & 4 job opportunities

LATEST DEVELOPMENTS

AI & MUSIC

🎸 AI band hits 500k listeners, admits to Suno use

Image source: The Velvet Sundown on Spotify

The Rundown: A mysterious band that went viral on Spotify with over 500,000 monthly listeners has been revealed as an "art hoax" in an article from Rolling Stone, with music created using the AI generator Suno.

The details:

    The group's two albums appeared on streaming platforms in June with zero digital footprint, raising skepticism from Reddit users and musicians.

    Music platform Deezer flagged potential AI usage, but Spotify made no disclosure requirements, allowing the tracks to spread across 30+ playlists.

    The “band” initially said the AI claims are lazy and baseless on social media, with “adjunct member” Andrew Frelon calling it “marketing and trolling.”

    Frelon said Suno was used to create at least some of the tracks, leveraging its "Persona" feature to maintain a consistent vocal style.

Why it matters: While the music tracks and band identity clearly didn’t pass the human test this time, future models and outputs certainly will (and are likely already hiding in plain sight). The question will increasingly become whether that matters — or if, like V-tubers, people will consume good content regardless of the “real” creator.

TOGETHER WITH RIME

🗣️ AI voices with personality

The Rundown: Rime offers the most realistic and expressive AI voices on the market today, creating agentic experiences that sound like everyday people, not robots or voice actors — while driving double digit increases in conversion for brands like Dominos.

Use Rime’s platform to:

    Deliver natural voice AI agents that laugh, breathe, sigh, and sound human

    Easily integrate multilingual text-to-speech (TTS) via API or on-prem

    Start building today with a generous free tier

Try Rime’s live chat (or +1-662-727-8948) and start creating agentic experiences with personality today.

SAKANA AI

🫂 Sakana AI teaches models to team up

Image source: Sakana AI

The Rundown: Japanese lab Sakana AI just introduced AB-MCTS, a new algorithm that lets competing AI models collaborate on complex problems, using their collective intelligence to solve problems too difficult for any of the individual models.

The details:

    The system combines ChatGPT, Gemini, and DeepSeek using adaptive search, solving 30% of ARC-AGI-2 puzzles versus just 23% for top solo models.

    AB-MCTS dynamically allocates different models based on strengths, with some handling strategy while others excel at code within the same problem.

    Researchers discovered models could build on each other's mistakes, with one model correcting flawed answers from another to reach correct solutions.

    Sakana released the underlying framework as “TreeQuest,” an open-source tool for developers to build their own collaborative AI systems.

Why it matters: Sakana’s system aligns with a lot of trends in the AI world — from swarms of AI agents to “orchestrators” delegating to the most capable model for a certain task. Some of the biggest future breakthroughs might come from a team of AI specialists working together, not just a single powerful model.

AI TRAINING

💻 Accelerate development workflows with Gemini CLI

The Rundown: In this tutorial, you will learn how to use Google's new command-line AI tool brings powerful code analysis, app generation, and workflow automation directly to your terminal for free.

Step-by-step:

    Open your terminal and write npm install -g @google/gemini-cli (requires Node.js 18+)

    Sign in with your Google account for 60 requests/minute, 1,000/day

    Try gemini "Explain the architecture of this codebase" for instant insights

    Use for PR analysis, git conflicts, or generating apps from sketches

Pro tip: Start with simple codebase queries, then progress to complex automation.

PRESENTED BY SALESFORCE

🤖 ReMarkable's agent-first enterprise vision

The Rundown: reMarkable is scaling fast — and AI agents are helping them do it without burning out the human team. In this session, CTO Nico Cormier shares how they’re using Agentforce to automate customer support and internal IT, giving employees more time for deeper thinking and creativity.

In the interview, you’ll discover:

    How customer support was transformed by “Mark,” their first agent

    Why internal IT support got faster and simpler with AI agent "Saga" in Slack

    Lessons on balancing AI with a human touch

Click here to learn more and watch the conversation.

AI RESEARCH

🧠 Scientists build an AI that can think like humans

Image source: o3 / The Rundown

The Rundown: Researchers from Helmholtz Munich developed an AI model named Centaur, which simulates human decision-making and behavior with extreme accuracy from training on millions of choices from psychological experiments.

The details:

    Researchers fine-tuned Meta's LLaMA using data from 60k participants across 160 psychology experiments, teaching it to replicate human decision patterns.

    The resulting Centaur model accurately predicts human choices and behaviors across a wide variety of tasks, even ones it has never seen before.

    Centaur outperformed 14 traditional cognitive models on 31/32 tasks, with accurate predictions in gambling, memory, and problem-solving scenarios.

    Researchers aim to use Centaur as a "virtual laboratory" to test theories and better grasp cognitive processes behind human thought and mental health.

Why it matters: Centaur’s success suggests human cognition and decision-making might be much more predictable than we thought — meaning ASI-level models might be able to simulate scenarios with scary accuracy. It’s also a massive research tool, letting scientists run behavioral studies without big budgets or years of recruitment.

QUICK HITS

🛠️ Trending AI Tools

    🤖 Pangu Pro - Huawei’s new open-source reasoning model

    🎨 FreePik - Now featuring unlimited image generation for Premium+ accounts

    🧠 Perplexity - New Max tier with Labs, early access, and advanced support

    🎨 Higgsfield Soul - Advanced image AI, now with free daily generations

💼 AI Job Opportunities

    🎨 The Rundown - Designer (Brand & Platform)

    🖥️ xAI - IT Systems Technician

    📊 Deepmind - Applied Data Scientist

    🧬 Meta - Research Scientist Manager, AI

📰 Everything else in AI today

Perplexity launched Max, a new $200/mo tier giving users unlimited access to its Labs tools, early access to new products like its Comet browser and advanced models.

OpenAI is expanding its Stargate partnership with Oracle, renting about 4.5 GW of data center capacity to power its AI energy needs.

Anthropic is reportedly on pace for $4B in annual revenue, 4x higher than its projections at the start of 2025.

Google DeepMind CEO Demis Hassabis hinted at potential “playable world” models coming for its Veo 3 video generation model in a response on X.

Chinese tech giant Huawei open-sourced several of its Pangu models and the underlying reasoning tech, trained using the company’s own Ascend chips.

AI startup Lovable is reportedly set to raise a new $150M funding round, valuing the vibe-coding platform at close to $2B.

COMMUNITY

🎥 Join our next live workshop

Join our next workshop today at 4 PM EST with Dr. Alvaro Cintas, The Rundown’s AI professor. By the end of the workshop, you’ll confidently wire MCP into both conversational AI and your favorite coding IDEs

RSVP here. Not a member? Join The Rundown University on a 14-day free trial.

See you soon,

Rowan, Joey, Zach, Alvaro, and Jason—The Rundown’s editorial team

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AI音乐 Suno AI The Velvet Sundown Spotify AI生成内容
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