Skip to main content
Skip to content
Case File
efta-01800657DOJ Data Set 10Other

EFTA01800657

Date
Unknown
Source
DOJ Data Set 10
Reference
efta-01800657
Pages
2
Persons
0
Integrity

Summary

Ask AI About This Document

0Share
PostReddit

Extracted Text (OCR)

EFTA Disclosure
Text extracted via OCR from the original document. May contain errors from the scanning process.
From: Joichi Ito ca Sent: Saturday, February 14, 2015 1:11 PM To: Barnaby Marsh; Jeffrey Epstein Subject: Fwd: "Genius" finding Sent from my iPhone =br>Begin forwarded message: =rom: Scott Page < > Date: February 14, 2015 at 07:16:47 EST To= Joichi Ito Subject: "Genius" finding Joi, I'v= been thinking about your question of how to identify amazing people. =div>Here are several thoughts that don't necessarily cohere. =/div> I think your approach has to depend partly on the goal. The=algorithm I would construct to find the next great artist would differ from=one to find a teacher, mathematician, cancer researcher, brain scientist, e=c... If you're totally wide open as to subject area, then it seems to=me you want to cast a wide net. I would be t=mpted to try the Bayesian Truth Serum and ask something like4=iv> Pick a really smart friend, who would that person say should win=a genius award. Rather than try to identify pe=ple, you might instead seek out papers/projects/programs/ideas and t=en identify the person after the fact. You might w=nt to consider asking people for the "coolest thing they know that's NOT=on the web (yet) So much filtering and assessm=nt already goes on that most programs free ride on that -- giving award to p=ople who have already won awards. This suggests that one place to lo=k is at the "losers" - contact MacArthur, NIH, NSF, DARPA, GOOGLE, a=d ask who do you regret not funding? Once you've got a long list of possibilities you have many opti=ns. Here are some you may not have considered You could also pay people on mechanical=turk to write up little blurbs on each one and then seed them on Facebook, T=itter, etc.. and then only look at the ones that get retweeted. CT> You could use Matt Salganik's pairwise=comparison website. EFTA_R1_00140411 EFTA01800657 hope this helps. Hap=y to think more. scotte Scott E Page University of Michigan-Ann A=bor Santa Fe Institute 2 EFTA_R1_00140412 EFTA01800658

Forum Discussions

This document was digitized, indexed, and cross-referenced with 1,400+ persons in the Epstein files. 100% free, ad-free, and independent.

Annotations powered by Hypothesis. Select any text on this page to annotate or highlight it.