What OpenAI's 722 Math Papers Actually Means
I think it’s safe to say that AI has left the realm of human intelligence, and has moved fully into a league of its own. A realm that, as with chess computers, leaves no room for human comparison, or perhaps even understanding. From my own perspective, as someone who has co-authored 50 books with my younger sister. OpenAI producing 722 papers, with 372 new results, many on famous open problems, totaling about 34,815 pages, is not only shocking, but produces a complete and total sense of vertigo. For with our combined effort over the last 13 years, we’ve written books ranging from science fiction and fantasy, essay and poetry collections, and a few books on chess middle and endgame theory. In total, we’ve added about 5,500 total pages to human knowledge. The fact that OpenAI’s language and math engines surpassed this so easily, not including the Navier–Stokes Millennium Prize Problem, is completely incomprehensible.
Although writing for me has always been an intellectual pursuit, and always will be, it is clear that AI will be making most of the new discoveries from now on. The rest of us will simply be left to entertain ourselves in whichever ways we see fit. In terms of the search for truth however, AI will no doubt be taking up the mantle, for the most part, from humanity. Leaving us lesser minds to follow behind with pen and paper, scratching at the confusing and winding paths it carves out on its journey through Plato’s cave.
Hello! We’re D.J. Hoskins
We are Davena and Jason Hoskins, co-authors of 50+ books and siblings who write under the pseudonym D.J. Hoskins. Three years apart and in our twenties, we have been fascinated by stories from a young age. Davena is a student attending Pembroke College, Cambridge, and Princeton University, and Jason attends Georgetown University.
