[thisisauserid]

Gemini 2.0 Experimental 02-05 sees this as "only" 107K tokens.

Handy if you want help breaking this down.

https://aistudio.google.com

'Laplace Approximation is a "quick and dirty" way to turn a complex probability distribution into a simple Gaussian (bell curve).

It works by finding the highest point (mode) and matching the curvature at that point.

It's fast and easy, but it can be very inaccurate and overconfident if the true distribution doesn't look like a bell curve.'

[mitthrowaway2]

You can also think of this as using the first two terms of a Taylor series approximation in log domain and throwing away the rest!