Meta is transforming its internal operations into a comprehensive post-training environment for artificial intelligence models. This initiative involves using the company's entire corporate structure as a laboratory for fine-tuning AI models, with programs like "AI Week" encouraging employees to engage with AI tools. These interactions provide valuable feedback, turning everyday tasks into data points that enhance AI model performance. To support this strategy, Meta has created new roles such as "AI Research Scientist, Post-Training" within its Superintelligence Labs. Additionally, Meta has invested $14.3 billion for a 49% stake in Scale AI, a company specializing in data labeling and evaluation, to bolster its post-training efforts. This dual approach aims to improve AI's role in advertising efficiency, potentially boosting ad revenue by refining user intent understanding and engagement prediction. The integration of AI into Meta's operations could also impact digital assets and payments, as a more advanced AI layer might influence how these elements are incorporated into Meta's platforms. However, the success of this transformation depends on effective execution and genuine employee engagement in AI initiatives.