data scraping
Beyond Market Intelligence keeps data scraping in one place: 4 stories so far. The section currently leads with “Two major newspapers sue AI firms over use of journalism for training.”, “When Authors Become Unwitting Trainers for AI”, and “Hacked code reveals Suno pulled decades of audio from YouTube.”. Two more major newsrooms are taking their fight to OpenAI and Microsoft. Every published author has unknowingly fed the machines now competing with their own work. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every data scraping story on Beyond Market Intelligence, newest first.
Two major newspapers sue AI firms over use of journalism for training.
Two more major newsrooms are taking their fight to OpenAI and Microsoft. The Seattle Times and Newsday now allege their journalism was used to train AI systems without permission. It's a familiar dispute, but the stakes keep climbing as more publishers demand accountability for how their work fuels these models. For anyone watching AI's rapid adoption, this is where the rubber meets the road. If you want to understand how these systems actually learn, explore our piece on real-world computer vision deployments.

When Authors Become Unwitting Trainers for AI
Every published author has unknowingly fed the machines now competing with their own work. That tension sits at the heart of a messy legal question: can AI companies train on copyrighted books without permission? It feels like infringement, but the law hasn't caught up to the reality. We dig into the nuance, and if you're curious how similar data problems skew models, our piece on catching AI slop offers a practical parallel.

Hacked code reveals Suno pulled decades of audio from YouTube.
A hacker's stolen credentials opened the door to Suno's source code, exposing how the AI music generator scraped decades of audio for training. It's a stark reminder that access is only as secure as the people holding it. The find raises hard questions about consent and credit in AI's creative boom. For more on how messy AI's data habits can get, our piece "Clean Data Starts With Catching AI Slop Before It Skews Your Model" digs into the fallout.

Major publishers challenge Google over AI training on copyrighted works
Another major publisher is taking Google to task over AI training data. Hachette, Cengage, Elsevier, and others allege the tech giant used copyrighted works without permission to build its models. It's a familiar friction point: the line between learning from the open web and repurposing protected material remains unsettled. For anyone watching how these cases unfold, the stakes go beyond one company's bottom line. They touch on how we define fair use in an AI-native era.