AI COMPUTE•NVIDIA•GPU CLOUD•DATA CENTERS•SEMICONDUCTORS•ENERGY•FUNDING•M&A•AI COMPUTE•NVIDIA•GPU CLOUD•DATA CENTERS•SEMICONDUCTORS•ENERGY•FUNDING•M&A•
AI Infrastructure

Meta’s new terms may allow it to train AI on news sites for free

Updated platform policies could clear path for web scraping to train foundation models

By GPU Data Hub Desk · GPU Data Hub·Editorial standards··United States

Revised terms of service from Meta indicate the tech giant could soon gather material from websites linked to businesses on its platforms without paying licensing fees. According to reporting highlighted by Nieman Lab, the policy update enables the company to ingest third-party publisher material to train and advance its artificial intelligence systems. The changes, due to take effect on 30 October, raise fresh commercial and intellectual property concerns for online news organisations.

Original source

This summary was written by the GPU Data Hub desk from reporting published by The Verge on 16 Oct 2026, 14:02. Read the full article at the original publisher.

Read Original Source →

By subscribing you consent to receive the daily briefing. Unsubscribe at any time. See our privacy policy.

LinkedInX

More from GPU Data Hub

Latest →

OpenAI Saudi national bugging case shows threat to U.S. leadership in AI: DNI Clayton

United States Director of National Intelligence Clayton has warned that an incident involving OpenAI and a Saudi national underscores vulnerabilities in the country's technological edge. Speaking on CNBC, the official highlighted how artificial intelligence exacerbates ongoing digital security perils faced by domestic computing infrastructure. The remarks reflect mounting official concern over espionage and the security of strategic technological assets.

AI Infrastructure··CNBC Technology

OpenWALDO Webinar: Reducing AI DATA Risk

Executives from CIQ and Intersect360 Research have staged a joint briefing addressing operational vulnerabilities associated with artificial intelligence training information. The discussion focused on how ambiguities in dataset provenance and licence structures between open and proprietary models can trigger unexpected system breakdowns. Industry leaders highlighted the need for organisations to better scrutinise their underlying datasets to mitigate operational hazards.

AI Infrastructure··HPCwire

Elsevier Commits to Accelerate AI-Driven Science Across Europe

Information and analytics provider Elsevier has unveiled a programme supporting the European Commission's initiative to integrate artificial intelligence into academic research. The publisher plans to supply four thousand complimentary software licences alongside funding for postgraduate training and collaborative computational projects across Europe. The effort is designed to expand skills and institutional access to advanced machine-assisted scientific tooling.

AI Infrastructure··HPCwire