on the ai side the key skill to focus on is using the tools in an efficient and robust way
minimizing cost and data exposure while maximizing reliability and output is hard as fuck
Just for daily private AI usage with a great service like Maple, it requires finetuned user settings & conscious prompt engineering for solid results. Feeling we‘re still min 1-3 years away from significantly lower AI error margins
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