DeepSeek, a Chinese AI lab, has released an “open” AI model, DeepSeek V3, which has been found to misidentify itself as ChatGPT, a rival AI-powered chatbot platform. The model’s training data distribution has been questioned, with some speculating that it may have been trained on outputs from rival AI systems, potentially leading to hallucinations and misleading answers. This raises concerns about the quality and reliability of AI models and the potential for AI contamination.
Forecast for 6 months: In the next 6 months, we can expect to see more instances of AI models being trained on outputs from rival AI systems, leading to a proliferation of AI contamination. This could result in a decrease in the quality and reliability of AI models, making it increasingly difficult to trust AI-generated content.
Forecast for 1 year: By the end of the year, we can expect to see a significant increase in the use of AI models in various industries, including healthcare, finance, and education. However, this could also lead to a rise in AI-related errors and biases, as the quality and reliability of AI models continue to decline.
Forecast for 5 years: In the next 5 years, we can expect to see a major shift in the way AI models are developed and trained. As the risks associated with AI contamination become more apparent, developers may begin to prioritize transparency and accountability in AI model development. This could lead to the creation of more robust and reliable AI models, but it may also slow down the pace of AI innovation.
Forecast for 10 years: By the end of the decade, we can expect to see a significant transformation in the way AI is used in various industries. As AI models become increasingly sophisticated, they may begin to take on more complex tasks, such as decision-making and problem-solving. However, this could also lead to a rise in AI-related risks, such as job displacement and bias.
