Trump’s AI Action Strategy advocates for reduced regulations on AI, highlighting the necessity to recognize elements like this that can significantly impact the safety and dependability of AI. Researchers indicate that the essence of this issue is closely linked to the reasoning processes of AI models.
A recent study released on arXiv, a preprint repository, illustrates that chains of thought (COT) serve as a vital method for observing how an AI model tackles and resolves a problem. Nonetheless, not every model employs a conventional COT framework, since this needs the queries to be deconstructed into additional intermediate and logical phases.
