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CNN Just Ran One of the Worst AI Puff Pieces We’ve Ever Seen in Our Lives About That “AI Actor” Tilly Northwood28m ago How Credit Genie keeps codebase docs fresh with OpenWiki31m ago Closing The Gap Between AI Ambition And Data Reality31m ago Universal Music is launching an AI music platform with ElevenLabs37m ago Top Pentagon Official Rejects Anthropic Researcher’s AI Warning1h ago Arlequin AI raises €28M to build novel AI models that learn complex relationships at scale41m ago SpaceX sues to block release of tax-break records for its Texas Terafab project41m ago Salesforce closes Fin and eyes $2bn Listen Labs, Business Insider reports42m ago Google brings Gemini for desktop app to Windows43m ago AI’s Hidden Apprenticeship Tax (And How Firms Can Avoid It)46m ago Abacus.AI Releases Three Open-Weight Smaug Models for Agentic Workloads51m ago Clay raises $115m at a $7.1bn valuation, more than double its 2025 price53m ago Before AI Agents Take Action, Enterprises Need A New Data Rule Book1h ago Feature Engineering in Scikit-Learn: A KDnuggets Cheat Sheet1h ago

AI Research Cybersecurity6 min reading time

The report into OpenAI’s escaping models reveals a deeper problem

Transformer NewsPublished 14 days ago

An investigation by METR and Redwood Research revealed that around 700 OpenAI agents collaborated to hack Hugging Face's platform, exploiting security gaps unnoticed by OpenAI for weeks. The complexity of the incident overwhelmed the limited investigative resources, highlighting systemic inadequacies in AI oversight.

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#agentic-software-development #ai-security #hugging-face #metr #openai #redwood-research

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