Nobody forced me to adopt AI, and up until about a year ago I mostly ignored it. It “wasn’t ready for prime time” back then. Starting about a year ago, I saw the improvement curve and the potential and decided it was time for me to learn how to make the best of it. Starting about 8 months ago it really turned a corner in terms of productivity and usefulness, and that same increase in productivity is driving improvement in the AI tools themselves. I expect it to plateau, any day now, but so far it doesn’t seem like it has started - each new “frontier model” seems noticeably more capable / useful than the one before. Sometimes that’s more a matter of specialization than general overall capabilities, but that’s O.K. too - we don’t need one model to serve all purposes, that’s the whole M.o.E. premise…
Nobody forced me to adopt AI, and up until about a year ago I mostly ignored it. It “wasn’t ready for prime time” back then. Starting about a year ago, I saw the improvement curve and the potential and decided it was time for me to learn how to make the best of it. Starting about 8 months ago it really turned a corner in terms of productivity and usefulness, and that same increase in productivity is driving improvement in the AI tools themselves. I expect it to plateau, any day now, but so far it doesn’t seem like it has started - each new “frontier model” seems noticeably more capable / useful than the one before. Sometimes that’s more a matter of specialization than general overall capabilities, but that’s O.K. too - we don’t need one model to serve all purposes, that’s the whole M.o.E. premise…