Forgive me for not understanding the Legg paper completely, but
how would you separate a 1MB "AI agent" executable plus a 1PB file of trained
model (by "sucking data from internet"), from a 1PB executable compiled from
manually built source code?
I don't see how the latter can be classified as complex while the former being
classified as simple.
--
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在 2018-11-20 01:15:10，"Matt Mahoney via AGI" <agi@agi.topicbox.com> 写道：
On Mon, Nov 19, 2018, 11:12 AM ducis <ducis...@126.com wrote:
Hi Matt,
Doesn't the "predictor" actually contains trained models as well?
Yes. That is the normal way to write a predictor, like in a data compressor. It
collects statistics on past input to predict future input by looking up the
current context or guessing what pattern or program generated the data.
It doesn't change the fact that universal predictors don't exist. You can
always simulate any predictor and output the opposite bit.
-- Matt Mahoney, mattmahone...@gmail.com
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