AI safety is advancing quickly and companies are actively working to shape model behavior and mitigate risks. AI models are based on statistical correlations and lack true reasoning skills. Techniques like RLHF are used to train models and bring them in line with cultural values and user expectations. Ongoing monitoring processes are in place to identify alignment challenges and take corrective actions. The industry is taking ethical risks seriously and aims to steer AI models to realize benefits while mitigating risks.
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