a simple answer is: we still need specific persons to do good forecasts. hard to automate it by AI.
" It is not "just" a matter of scanning a massive database and triangulating in on the most plausible Bayesian-estimated answer. I put scare quotes around "just" because I do not in any way want to trivialize what an extraordinary achievement WATSON is. "
REF: https://blogs.scientificamerican.com/cross-check/can-we-improve-predictions-q-a-with-philip-superforecasting-tetlock/#
沒有留言:
張貼留言