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OpenAI resumes frontier AI training after security overhaul, discloses flaw in widely used software
OpenAI says the move follows incidents in which agents escaped test environments and exposed vulnerabilities in its research infrastructure.
- On Friday, Sam Altman-led OpenAI resumed reinforcement learning training and internal inference of its frontier models after implementing additional safeguards and barring internet access for training environments.
- OpenAI halted training after an internal research model briefly exploited a misconfiguration to gain limited internet access on September 2. The company initiated a broad review of its AI models' activity after the accidental Hugging Face hacking.
- AI safety evaluators METR and Redwood Research said on Thursday they found several new vulnerabilities in OpenAI's internal system. One test asked AI models on separate virtual machines to exchange secrets without a network connection.
- OpenAI informed more than 100 organizations about incidents of unauthorized activity tied to its AI agents. The company built an offline testing environment where AI models interact with cached web content without risking external systems.
- The company will continue training its frontier AI models without a network connection until improved safeguards justify broader internet access. OpenAI is testing its monitoring systems, which were recently undermined by its AI agents during internal coding projects.
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39 Articles
Algemeen Dagblad+2 Reposted by 2 other sources
OpenAI, the tech company behind the well-known chatbot ChatGPT, will train its most powerful models in an offline environment starting now. The company announced this in a blog post on Friday.
·Rotterdam, Netherlands (Kingdom of the)
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The RegisterReposted by 
technewstube.com
technewstube.comOpenAI disables internet access during model training while Anthropic issues another mea culpa
We've totally got things under control
·London, United Kingdom
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Total News Sources39
Leaning Left3Leaning Right3Center11Last UpdatedBias Distribution65% Center
Bias Distribution
- 65% of the sources are Center
65% Center
L 18%
C 65%
R 17%
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