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efta-02666879DOJ Data Set 11OtherEFTA02666879
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DOJ Data Set 11
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efta-02666879
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From:
Joscha Bach <
Sent:
Sunday, December 11, 2016 10:58 PM
To:
Jeffrey Epstein; Martin A. Nowak
Subject:
"Something big" vs "The end of science"
Newton, Kant, Darwin etc. built new, essentially complete systems, =hrough which it became possible to understand a
large part of the =orld. Perhaps the last one that was completely pervasive was =ositivism, in the early 20th century,
together with a functionalist =ens. The century started out with the expectation of a systemic =evolution, which would
especially manifest in physics. Since then, new =ystemic approaches have been found, especially computation and
=ybernetics. But physics fizzled: Einstein's and Maxwell's universes =ould not be unified. Goedel ruined the party in
mathematics. =ybernetics got lost in complexity theory. Minsky's Al and Chomsky's =inguistics seemed to have failed.
And at the same time, the systemic =pproaches to society and governance failed. Kissinger killed the =hilean experiment
of building a cybernetic economy before it even =tarted, the planned economies of East went bankrupt, and the market
=conomies of the West stumbled from crisis to crisis. The systemic =deologies of communism, market liberalism and
eurosocialism collapsed.
Our fashionable postmodernist ersatz intellectuals, like Jarvis and =organ, tell us what most people want to hear: that
systems are over. =nd nobody seems to say otherwise. Joi writes books in which he replaces =ystemic thinking with
slogans: antifragility, whiplash, resilience, =indfulness, fluidity. Glorified versions of "muddling through".
Personally, I disagree. The new systems are there, but our public =ntellectuals can no longer see them, because they lack
the formal =raining to do so, and our scientists can no longer see them, because =hey tend to be too specialized to zoom
out far enough. In my view, the =ain insight that drives the new kind of systemic thinking is the break =ith the
mathematical tradition in the sciences. The book of nature is =ot written in mathematics, but in computation, i.e. an a
much more =estricted script. When we apply this constraint, we get a new and more =roductive perspective on physics,
causal structure, living organisms, =omplex systems.
A big part of the new systems are accidental discoveries of Al. That =nformation is the basic building block of our
universe (energy, space =nd matter are derived notions), learning and modeling are about =iscovering the eigenvectors
and operators in feature manifolds, that =earning needs gradients pointing into the right direction, that =ausality is
conditional state transition, that Bayesianism is the =eneral epistemological principle.
Our public intellectuals are currently debating whether algorithms are =oo racist. They cannot muster enough attention
to see that, due to the =ay in which minds model any domain, everything is an algorithm, =ncluding and especially
evolution, i.e. the algorithm that has produced =s.
If we accept that the universe and everything in it is fundamentally =omputational, i.e. can be characterized by the
regularities in changes =n patterns of information, we get a unified frame of reference that =oes beyond the reach of
every previous theory in history. This can =flow us to build an API for integrating all fields of knowledge and =ontrol.
I suspect Barnaby can see much of that. Perhaps someone should slip him =ome coke to ruin his modesty, so he starts
believing in his destiny for =reatness instead of quiet gardening :)=?xml version=.0" encoding=TF-8"?> <IDOCTYPE plist
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