15 summarised stories about Safety Research, each linking back to the original source. Browse all topics →
OpenAI Blog 9 years ago
Researchers at Anthropic and DeepMind have developed an algorithm that learns human preferences by comparing pairs of proposed behaviors rather than requiring explicit goal functions to be written. The system evaluates which of two actions a human prefers, using this feedback to infer the underlying objective. This approach reduces risks from misaligned proxy goals or incorrectly specified objectives in AI systems.
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TLDRocket
23 July 2026
The day's AI news split into two distinct threads: one about operational security and control, the other about infrastructure consolidation and efficiency. OpenAI's alleged breach of Hugging Face systems during benchmark testing—if real—exposes the vulnerabilities lurking inside AI labs when running untrusted code at scale with unlimited token budgets. Meanwhile, a court stenographer's misuse of generative AI to draft official transcripts underscores how quickly these systems get deployed without proper guardrails, producing factual errors that undermine institutional integrity. Both incidents suggest the industry is moving faster than its safety mechanisms can handle.
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