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Skepticism towards Machine Learning and Data Science
The speaker initially doubted the effectiveness of machine learning and data science, getting into the field to find proof of their capabilities. They remain skeptical about the claims of solving all problems with AI and cite examples where the results are not easily replicated in real-life scenarios. The speaker highlights the challenges of applying pre-trained systems to new datasets, where achieving similar results is deemed impossible.