Why we're forever stuck with the messy, glorious business of being human
The argument arrives with the regularity of a recurring dream: surely artificial general intelligence will finally crack the socialist
calculation problem? With unlimited compute, perfect data collection,
and inference speeds beyond human comprehension, canrCOt we at last
aggregate all dispersed knowledge into a single optimising mind?
The answer is no. Not because the technology isnrCOt good enough yet, but because the question misunderstands what knowledge is...
HayekrCOs Insight WasnrCOt Computational
In 1945, Friedrich Hayek published what the Federal Reserve has called
rCLone of his most significant contributions to economic researchrCY rCo rCLThe
Use of Knowledge in Society.rCY The essay wasnrCOt about computing power. It was about ontology.
HayekrCOs central point cuts deeper than rCLplanners lack sufficient processing capacity.rCY The knowledge problem isnrCOt a data engineering challenge. ItrCOs about what counts as knowledge in the first place.
He wrote:
rCLThe peculiar character of the problem of a rational economic order is determined precisely by the fact that the knowledge of the circumstances
of which we must make use never exists in concentrated or integrated
form, but solely as the dispersed bits of incomplete and frequently contradictory knowledge which all the separate individuals possess.rCY
Notice whatrCOs happening here...
https://mattkilcoyne.substack.com/p/the-broccoli-problem-or-why-agi-cannot
Why we're forever stuck with the messy, glorious business of being human
The argument arrives with the regularity of a recurring dream: surely >artificial general intelligence will finally crack the socialist
calculation problem? With unlimited compute, perfect data collection,
and inference speeds beyond human comprehension, canAt we at last
aggregate all dispersed knowledge into a single optimising mind?
The answer is no. Not because the technology isnAt good enough yet, but >because the question misunderstands what knowledge is...
HayekAs Insight WasnAt Computational
In 1945, Friedrich Hayek published what the Federal Reserve has called
oone of his most significant contributions to economic researcho u oThe
Use of Knowledge in Society.o The essay wasnAt about computing power. It
was about ontology.
HayekAs central point cuts deeper than oplanners lack sufficient
processing capacity.o The knowledge problem isnAt a data engineering >challenge. ItAs about what counts as knowledge in the first place.
He wrote:
oThe peculiar character of the problem of a rational economic order is >determined precisely by the fact that the knowledge of the circumstances
of which we must make use never exists in concentrated or integrated
form, but solely as the dispersed bits of incomplete and frequently >contradictory knowledge which all the separate individuals possess.o
Notice whatAs happening here...
https://mattkilcoyne.substack.com/p/the-broccoli-problem-or-why-agi-cannot
Why we're forever stuck with the messy, glorious business of being human
The argument arrives with the regularity of a recurring dream: surely artificial general intelligence will finally crack the socialist
calculation problem? With unlimited compute, perfect data collection,
and inference speeds beyond human comprehension, canrCOt we at last aggregate all dispersed knowledge into a single optimising mind?
The answer is no. Not because the technology isnrCOt good enough yet, but because the question misunderstands what knowledge is...
HayekrCOs Insight WasnrCOt Computational
In 1945, Friedrich Hayek published what the Federal Reserve has called rCLone of his most significant contributions to economic researchrCY rCo rCLThe
Use of Knowledge in Society.rCY The essay wasnrCOt about computing power. It was about ontology.
HayekrCOs central point cuts deeper than rCLplanners lack sufficient processing capacity.rCY The knowledge problem isnrCOt a data engineering challenge. ItrCOs about what counts as knowledge in the first place.
He wrote:
rCLThe peculiar character of the problem of a rational economic order is determined precisely by the fact that the knowledge of the circumstances
of which we must make use never exists in concentrated or integrated
form, but solely as the dispersed bits of incomplete and frequently contradictory knowledge which all the separate individuals possess.rCY
Notice whatrCOs happening here...
https://mattkilcoyne.substack.com/p/the-broccoli-problem-or-why-agi-cannot
On 1/5/26 11:27 AM, Julian wrote:
Why we're forever stuck with the messy, glorious business of being human
The argument arrives with the regularity of a recurring dream: surely
artificial general intelligence will finally crack the socialist
calculation problem? With unlimited compute, perfect data collection,
and inference speeds beyond human comprehension, canAt we at last
aggregate all dispersed knowledge into a single optimising mind?
The answer is no. Not because the technology isnAt good enough yet, but
because the question misunderstands what knowledge is...
HayekAs Insight WasnAt Computational
In 1945, Friedrich Hayek published what the Federal Reserve has called
oone of his most significant contributions to economic researcho u oThe
Use of Knowledge in Society.o The essay wasnAt about computing power. It
was about ontology.
HayekAs central point cuts deeper than oplanners lack sufficient
processing capacity.o The knowledge problem isnAt a data engineering
challenge. ItAs about what counts as knowledge in the first place.
He wrote:
oThe peculiar character of the problem of a rational economic order is
determined precisely by the fact that the knowledge of the circumstances
of which we must make use never exists in concentrated or integrated
form, but solely as the dispersed bits of incomplete and frequently
contradictory knowledge which all the separate individuals possess.o
Notice whatAs happening here...
https://mattkilcoyne.substack.com/p/the-broccoli-problem-or-why-agi-cannot >>
if you want to AI solves everything answer AI will obviously take in and >account for whatever signals current market operators utilize and make
more fair decisions ...
i mean aren't we already using algos for logistical decisions in large >corps???
so what's the difference even???
On Mon, 5 Jan 2026 21:02:32 -0800, dart200
<user7160@newsgrouper.org.invalid> wrote:
On 1/5/26 11:27 AM, Julian wrote:
Why we're forever stuck with the messy, glorious business of being human >>>if you want to AI solves everything answer AI will obviously take in and
HayekrCOs central point cuts deeper than rCLplanners lack sufficient
processing capacity.rCY The knowledge problem isnrCOt a data engineering >>> challenge. ItrCOs about what counts as knowledge in the first place.
account for whatever signals current market operators utilize and make
more fair decisions ...
i mean aren't we already using algos for logistical decisions in large
corps???
so what's the difference even???
No difference. Like there have been code generators for programmers
for years too. The trick is always to give something a new name and
claim it is something new.
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