Nobody can argue that AI makes research and problem solving significantly easier, when there is large amounts of information on a subject, use of an LLM makes short work of search.
These AI models at our disposal for free make search extremely easy, and can trivialize lots of work that was designed for a world without LLMs.
As a student I feel qualified to argue that LLMs do seem to decimate the current system of homework and make busy work extremely light.
However learning was never best done by simply solving the problems presented and then moving on with the day.
Deep work is essential to learning, particularly through trial and error. The reason this blog exists is to provide outside feedback and to spark something within myself each day, to get up, write something interesting, maybe learn a few things, and execute.
This is a small activity that requires some work, and instead I could sit here reading Paul Graham and Seth Godin all day figuring out how they curate their blogs to be so fantastic. I am accepting that the quality of this blog is low, but that is because this is my first go round. I will reiterate and become better at this over time, and eventually I will be a fantastic writer, of this I have no doubt.
Some are born writers, with intuitive taste of word choice and prose, but that has never been my style. None of my favorite books are written by those who have the most perfect word choice, or even those with great writing.
I love books that start based off executing a great idea, and then introduce another, over and over, without seeming repetitive. This is blueprint for great art to me. Over the span of a book, series, TV show, or a movie, I am always impressed with perfect flow of ideas.
Perhaps I have become lost in my description of deep work, and I have contemplated restarting this post from scratch. I am going to leave it with this torn apart structure, and raise a question to the reader.
Is humankind really at risk of losing the important things to a non-living entity?
Hunter's Blog 