Update #83: AI Music Fraud and PlanSearch
The streaming fraud case illustrates how AI can scale pre-existing fraud patterns - a general risk awareness point rather than an APS-specific governance concern.
Key points
- US federal prosecutors filed the first criminal charges for AI-assisted music streaming fraud, netting $10 million over seven years.
- AI scaled an existing fraud scheme but was incidental - the core crime was bot-driven royalty manipulation.
- PlanSearch, a new LLM code-generation algorithm from Scale AI researchers, is tangentially relevant to APS work.
Summary
A North Carolina musician has been charged in the first US criminal case involving AI-assisted streaming fraud, allegedly earning $10 million by using bots to stream AI-generated music across platforms. The item also covers PlanSearch, a novel search algorithm from Scale AI researchers that improves LLM code generation by searching over natural-language problem-solving plans rather than code solutions directly. Neither item is directly focused on Australian government AI governance; the fraud case offers general context on AI-enabled financial fraud, while PlanSearch is a technical research development.
"Update #83: AI Music Fraud and PlanSearch" Source: The Gradient – Substack Published: 11 September 2024 URL: https://thegradientpub.substack.com/p/update-83-ai-music-fraud-and-plansearch A North Carolina musician has been charged in the first US criminal case involving AI-assisted streaming fraud, allegedly earning $10 million by using bots to stream AI-generated music across platforms. The item also covers PlanSearch, a novel search algorithm from Scale AI researchers that improves LLM code generation by searching over natural-language problem-solving plans rather than code solutions directly. Neither item is directly focused on Australian government AI governance; the fraud case offers general context on AI-enabled financial fraud, while PlanSearch is a technical research development. Retrieved from SIMS, 18 May 2026.