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Hugging Face hack: AI-driven news site reveals fresh details ahead of tech press

Викриття нових фактів про атакуючу платформу Hugging Face: інноваційний новинний ресурс на базі ІШ підтримує висвітлення подій у світі технологій. Photo: НВ — Техно

How RuntimeWire covered the Hugging Face hack

At 1:00 p.m. on August 13, RuntimeWire — an outlet that relies on artificial intelligence to collect and prepare stories — was the first to report new information about the Hugging Face breach, beating mainstream technology publications including Wired. Launched in May by American tech entrepreneur and investor Ryan Merket, RuntimeWire uses AI to track sources, surface new details across thousands of data feeds, transcribe audio, analyze documents, and draft articles. The publication says humans still have the final say over what gets published.

Reactions and what it means for journalism

According to RuntimeWire, the text transcript of a talk uploaded to its internal system was processed, edited, and fact-checked before publication. In a comment about the article, Gizmodo said:

“RuntimeWire’s piece on the Hugging Face hack reads mechanically and mostly retells the sequence of events.”

RuntimeWire also uses AI-generated images in its posts and produces a daily podcast with synthetic hosts. The outlet is actively looking for startup news writers, and one of the requirements for applicants is readiness to work with AI tools. Last month, articles on RuntimeWire were viewed more than 118,000 times, pointing to growing public appetite for content produced with emerging technology.

This episode shows how AI is reshaping journalism by helping outlets react quickly to events and stay competitive. The rising popularity of RuntimeWire may indicate stronger demand for automated content, challenging conventional newsroom practices and prompting debate over quality and ethics in AI-assisted reporting.