A verification loop 4x'd DeepSeek's intelligence, matching Opus at 1/7 the cost

Researchers have developed a verification loop process that reportedly quadruples the reasoning capabilities of DeepSeek models, allowing them to match the performance of premium tools like Opus. By automating the verification of internal outputs, this method achieves high-level accuracy while reducing computational expenses to roughly one-seventh of current industry standards. This advancement suggests a shift toward more efficient AI training, potentially lowering the barrier for high-performance model development by focusing on iterative validation rather than solely increasing data volume or parameter counts.