EFTA01059591.pdf
dataset_9 pdf 122.7 KB • Feb 3, 2026 • 2 pages
From: "Jeffrey E." <jeevacation@gmail.com>
To: Joscha Bach <,
Subject: Re: "Something big" vs "The end of science"
Date: Mon, 12 Dec 2016 10:25:45 +0000
fun. call to see if we can meet
On Sun, Dec 11, 2016 at 5:58 PM, Joscha Bach > wrote:
Newton, Kant, Darwin etc. built new, essentially complete systems, through which it became possible to
understand a large part of the world. Perhaps the last one that was completely pervasive was positivism, in the
early 20th century, together with a functionalist lens. The century started out with the expectation of a systemic
revolution, which would especially manifest in physics. Since then, new systemic approaches have been found,
especially computation and cybernetics. But physics fizzled: Einstein's and Maxwell's universes could not be
unified. Goedel ruined the party in mathematics. Cybernetics got lost in complexity theory. Minsky's AI and
Chomsky's linguistics seemed to have failed. And at the same time, the systemic approaches to society and
governance failed. Kissinger killed the Chilean experiment of building a cybernetic economy before it even
started, the planned economies of East went bankrupt, and the market economies of the West stumbled from
crisis to crisis. The systemic ideologies of communism, market liberalism and eurosocialism collapsed.
Our fashionable postmodemist ersatz intellectuals, like Jarvis and Horgan, tell us what most people want to
hear: that systems are over. And nobody seems to say otherwise. Joi writes books in which he replaces
systemic thinking with slogans: antifragility, whiplash, resilience, mindfulness, fluidity. Glorified versions of
"muddling through".
Personally, I disagree. The new systems are there, but our public intellectuals can no longer see them, because
they lack the formal training to do so, and our scientists can no longer see them, because they tend to be too
specialized to zoom out far enough. In my view, the main insight that drives the new kind of systemic thinking
is the break with the mathematical tradition in the sciences. The book of nature is not written in mathematics,
but in computation, i.e. an a much more restricted script. When we apply this constraint, we get a new and
more productive perspective on physics, causal structure, living organisms, complex systems.
A big part of the new systems are accidental discoveries of Al. That information is the basic building block of
our universe (energy, space and matter are derived notions), learning and modeling are about discovering the
eigenvectors and operators in feature manifolds, that learning needs gradients pointing into the right direction,
that causality is conditional state transition, that Bayesianism is the general epistemological principle.
Our public intellectuals are currently debating whether algorithms are too racist. They cannot muster enough
attention to see that, due to the way in which minds model any domain, everything is an algorithm, including
and especially evolution, i.e. the algorithm that has produced us.
If we accept that the universe and everything in it is fundamentally computational, i.e. can be characterized by
the regularities in changes in patterns of information, we get a unified frame of reference that goes beyond the
reach of every previous theory in history. This can allow us to build an API for integrating all fields of
knowledge and control.
I suspect Bamaby can see much of that. Perhaps someone should slip him some coke to ruin his modesty, so he
starts believing in his destiny for greatness instead of quiet gardening :)
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