What ppl often refer to as 'AI' these days are LLMs (large language models), which are essentially text-generators (like an advanced version of the predictive typing feature on your mobile phone)...
LLMs can't do math and they can't count, they just generate text that sounds/looks right based on training data - a classic example is chatgpt stating there are only two 'r's in 'strawberry'
An old date-time library would be vastly more accurate than 'AI' in computing date intervals
What ppl often refer to as 'AI' these days are LLMs (large language models), which are essentially text-generators (like an advanced version of the predictive typing feature on your mobile phone)...
LLMs can't do math and they can't count, they just generate text that sounds/looks right based on training data - a classic example is chatgpt stating there are only two 'r's in 'strawberry'
An old date-time library would be vastly more accurate than 'AI' in computing date intervals