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ChatGPT’s latest advancements, including enhanced memory capabilities and the adoption of synthetic data for model training, are sending ripples through the AI landscape. Experts are speculating on the potential consequences for tech giants like Meta, which heavily rely on human feedback (Reinforcement Learning from Human Feedback – RLHF). The shift towards synthetic data raises concerns that the value of human input in training AI models could diminish, potentially disrupting Meta’s established strategies. As one observer noted, there’s a palpable sense of both excitement and apprehension surrounding ChatGPT’s rapid progress. This development forces a re-evaluation of the trajectory of AI development and its broader impact on the industry, challenging existing power structures and prompting a debate on the future of AI model training.