data extraction AI News & Updates
Chinese AI Lab DeepSeek Allegedly Used Google's Gemini Data for Model Training
Chinese AI lab DeepSeek is suspected of training its latest R1-0528 reasoning model using outputs from Google's Gemini AI, based on linguistic similarities and behavioral patterns observed by researchers. This follows previous accusations that DeepSeek trained on data from rival AI models including ChatGPT, with OpenAI claiming evidence of data distillation practices. AI companies are now implementing stronger security measures to prevent such unauthorized data extraction and model distillation.
Skynet Chance (+0.01%): Unauthorized data extraction and model distillation practices suggest weakening of AI development oversight and control mechanisms. This erosion of industry boundaries and intellectual property protections could lead to less careful AI development practices.
Skynet Date (-1 days): Data distillation techniques allow rapid AI capability advancement without traditional computational constraints, potentially accelerating the pace of AI development. Chinese labs bypassing Western AI safety measures could speed up overall AI progress timelines.
AGI Progress (+0.02%): DeepSeek's model demonstrates strong performance on math and coding benchmarks, indicating continued progress in reasoning capabilities. The successful use of distillation techniques shows viable pathways for achieving advanced AI capabilities with fewer computational resources.
AGI Date (-1 days): Model distillation techniques enable faster AI development by leveraging existing advanced models rather than training from scratch. This approach allows resource-constrained organizations to achieve sophisticated AI capabilities more quickly than traditional methods would allow.