From Futurism · Frank Landymore · · 1m 10s
Microsoft admits AI is destroying news media
Unsealed court documents reveal top Microsoft and OpenAI executives acknowledged their AI models create a destructive cycle that steals content from publishers.
In brief
Unsealed court documents reveal top Microsoft and OpenAI executives acknowledged their AI models create a destructive cycle that steals content from publishers. Microsoft's own leadership admitted their AI business model undermines the news industry that supplies its training data, creating an unsustainable cycle…
Microsoft admits AI doom loop
Unsealed court documents show Microsoft director Brent Hecht wrote that the company's AI strategy created a destructive cycle harming both their models and the entire web.
“Our AI content strategy has started a 'doom loop' that will hurt the performance of our models and the entire web at the same time.”
AI threatens its own suppliers
Hecht's document noted it's unusual for a product to threaten the economic foundations of its essential suppliers, but that's what happened with AI's content supply chain.
“It is highly unusual that an end-product threatens the economic foundations of its essential suppliers.”
Nadella admits AI replaces sources
CEO Satya Nadella acknowledged that AI chatbots substitute for visiting underlying news sources, directing users to AI platforms instead of original publishers.
“has substituted… giving you the information right there on the website on the AI platform versus needing to go to the underlying source.”
OpenAI bypassed paywalls
OpenAI employees found ways to circumvent news paywalls without detection to obtain training data, with cofounder Greg Brockman approving the tactic.
“ah nice.”
Court case reveals internal conflict
The New York Times copyright lawsuit against OpenAI, with Microsoft as a defendant, has exposed these admissions through unsealed court documents.
What to remember
Microsoft's own leadership admitted their AI business model undermines the news industry that supplies its training data, creating an unsustainable cycle.
