There's another such curve, incidentally - I've been reading up on scientific careers, and there's solid-looking evidence that a modern scientist makes his better discoveries about a decade later than in the early 1900s. This is a problem because productivity drops off in the 40s and is pretty small in the 50s and later, and this has remained constant (despite the small improvements in longevity over the 20th century).
So if your discoveries only really begin in your late 20s and you face a deadline of your 40s, and each century we lose a decade, this suggests within 2 centuries, most of a scientist's career will be spent being trained, learning, helping out on other experiments, and in general just catching up!
We might call this the PhDalarity - the rate at which graduate and post-graduate experience is needed before one can make a major discovery.
I think we can plausibly fight this by improving education to compress the time necessary to teach concepts. Hardly any modern education uses the Socratic method to teach, which in my experience is much faster than conventional methods, and could in theory be executed by semi-intelligent computer programs (the Stanford machine learning class embedding questions part way through their videos is just the first step).
Also, SENS.
...has finally been published.
Contents:
The issue consists of responses to Chalmers (2010). Future volumes will contain additional articles from Shulman & Bostrom, Igor Aleksander, Richard Brown, Ray Kurzweil, Pamela McCorduck, Chris Nunn, Arkady Plotnitsky, Jesse Prinz, Susan Schneider, Murray Shanahan, Burt Voorhees, and a response from Chalmers.
McDermott's chapter should be supplemented with this, which he says he didn't have space for in his JCS article.