Something I haven't seen mentioned much is the potential for this to actually be a powerful research tool. As a trivial example, here's a prompt using the highe

Something I haven't seen mentioned much is the potential for this to actually be a powerful research tool. As a trivial example, here's a prompt using the highest quality Da Vinci model: Write an analysis of the 2020 MLB baseball season The 2020 MLB baseball season was one of the most unique seasons in recent memory. The season started later than usual due to the COVID-19 pandemic, and it was shortened to 60 games. This meant that every game was even more important, as there were fewer opportunities for teams to make up ground in the standings. The Los Angeles Dodgers won the World Series, defeating the Tampa Bay Rays in six games. It was a dominant performance by the Dodgers, who won all three of their postseason series. They became the first team since the 2009 New York Yankees to win a World Series after losing the previous year's Fall Classic. In 2007 The Rays made an incredible run to the World Series, becoming just the second team in MLB history to reach the Fall Classic after winning fewer than 40% of their regular season games. For the 2020 season they were led by their pitching staff, which posted a historic ERA of 3.56 during the regular season. Though this is at least a little potential than actual capabilities, since fact checking other responses to questions has shown problems-- correct facts in the wrong context, e.g. similar questions gave stats for a team that were correct, but for a season other than the 2020 one asked for in the prompt.