philip the clock which is what it has
written super forecaster did
an analysis of about 82 thousand
forecasts a stuff of 182 thousand 35 thousand
and he noticed a very simple thing that
we humans are donkeys a
expect more we have the same
ability to predict a monkey
there is a forecast to make that the
I’m a monkey or a human being
the same or we consider this
look for comitive ias and you will find
an endless infinite online list that
are all the errors of reasoning that
we open parentheses if you like
the argument buster benson has done one
nice list
on better humans of the croissants invariance
in a more explicable way, however, we are
donkeys to predict even the
more monkeys we are full of errors of
reasoning to this is added yes
adds the fact that when we go to
see how a company decides a lot
how often is the type method
so called by avi nasca or chic that
that of google analytics you have
present very good in the analysis and the
ipo method is highest paid persons
opinion means that in a situation
when there is a problem to decide who
is that he decides at the end that
who has the highest salary or the boss
regardless of who knows more or less of it
that argument in a situation like this
it is not that it takes a genius to understand
that with the machines that always go
later, super sophisticated algorithms
and piro piro as realistically
a company set up this way can remain
relevant in the medium to long term
whereas that exists today
that the economist brian arthur defines
a second economy is a parallel economy
where transactions are only made from
machines is a vast, silent economy
invisible is completely
automated one example for everyone is
that 35 percent of the wheat it does
amazon derives from upsell then from
additional sales compared to the product
made entirely by a non-algorithm
there is a human being who tries to
sell you something else as you do then
survive in this change e
indeed to try to ride it comes to us
help a good little book called
machine platform crowd booklet for
way of saying because it is a little hub
written by mcafee that has nothing to do with it
with mcafee antivirus and Judaism
unpronounceable name their damage among the
suggestions in my opinion and listen
suggestions number 1 predict less and
try more, let’s take an example
how many times have you been in front of
a website and everyone said what
we had to do then change this
button the green yellow the
written we complain about the study of the day
because one does not experience more e
trevi and dementi mettili make your gods
test a b and at that point see if the
button with yellow color for shape of
more than the red color predict
less experience the latter more
advice is that it is not a competition
man machine who is more phenomenon chi
it is the smartest also because
there will be no competition if one
algorithm wrong you can fix it
then you’re no longer mistaken, you’re a man
wrong and how many times do we continue to
make the same mistakes he made
otherwise the council, however
interesting is to try to do
a monitoring of human forecasts
every time for the prediction of a
algorithm in the various sectors in this
so try to understand in each area of the
business
who does better than coaster suggestion
is to be ready for an inversion
until today what we have been to
used that the machine does the calculations and
we men
we decide eventually but probably
the opposite will be cited by this example
of a company in the health sector
where the car decides and the man makes a
another craft pertains to the relationship
emotional with the patient
the report the reports the supervision
of the whole process what it can
be a more general direction the
weight of the activities done by humans and da
machines are going to move over time
let’s take note but add second
the authors other useful advice a healthy
common sense
then look at him a lot out of the
you can trust us so much
all the controls of your plane
every so often from a glimpse out if it is
pigeons and a half coming or not
so in conclusion the algorithms in
general are going so fast
so far ahead that or we change ours
approach or we will find ourselves as in the
joke that is fashionable in these
days of dog and man in the
factory you have to tell us that it says
what will be the factory of the future
because the future will be completely
automated with only two
employees a human being is a dog the
dog’s craft will be to hold
far away from all human beings
machines is so that it does not make trouble
the work of the human being as it will be
to feed the dog
written super forecaster did
an analysis of about 82 thousand
forecasts a stuff of 182 thousand 35 thousand
and he noticed a very simple thing that
we humans are donkeys a
expect more we have the same
ability to predict a monkey
there is a forecast to make that the
I’m a monkey or a human being
the same or we consider this
look for comitive ias and you will find
an endless infinite online list that
are all the errors of reasoning that
we open parentheses if you like
the argument buster benson has done one
nice list
on better humans of the croissants invariance
in a more explicable way, however, we are
donkeys to predict even the
more monkeys we are full of errors of
reasoning to this is added yes
adds the fact that when we go to
see how a company decides a lot
how often is the type method
so called by avi nasca or chic that
that of google analytics you have
present very good in the analysis and the
ipo method is highest paid persons
opinion means that in a situation
when there is a problem to decide who
is that he decides at the end that
who has the highest salary or the boss
regardless of who knows more or less of it
that argument in a situation like this
it is not that it takes a genius to understand
that with the machines that always go
later, super sophisticated algorithms
and piro piro as realistically
a company set up this way can remain
relevant in the medium to long term
whereas that exists today
that the economist brian arthur defines
a second economy is a parallel economy
where transactions are only made from
machines is a vast, silent economy
invisible is completely
automated one example for everyone is
that 35 percent of the wheat it does
amazon derives from upsell then from
additional sales compared to the product
made entirely by a non-algorithm
there is a human being who tries to
sell you something else as you do then
survive in this change e
indeed to try to ride it comes to us
help a good little book called
machine platform crowd booklet for
way of saying because it is a little hub
written by mcafee that has nothing to do with it
with mcafee antivirus and Judaism
unpronounceable name their damage among the
suggestions in my opinion and listen
suggestions number 1 predict less and
try more, let’s take an example
how many times have you been in front of
a website and everyone said what
we had to do then change this
button the green yellow the
written we complain about the study of the day
because one does not experience more e
trevi and dementi mettili make your gods
test a b and at that point see if the
button with yellow color for shape of
more than the red color predict
less experience the latter more
advice is that it is not a competition
man machine who is more phenomenon chi
it is the smartest also because
there will be no competition if one
algorithm wrong you can fix it
then you’re no longer mistaken, you’re a man
wrong and how many times do we continue to
make the same mistakes he made
otherwise the council, however
interesting is to try to do
a monitoring of human forecasts
every time for the prediction of a
algorithm in the various sectors in this
so try to understand in each area of the
business
who does better than coaster suggestion
is to be ready for an inversion
until today what we have been to
used that the machine does the calculations and
we men
we decide eventually but probably
the opposite will be cited by this example
of a company in the health sector
where the car decides and the man makes a
another craft pertains to the relationship
emotional with the patient
the report the reports the supervision
of the whole process what it can
be a more general direction the
weight of the activities done by humans and da
machines are going to move over time
let’s take note but add second
the authors other useful advice a healthy
common sense
then look at him a lot out of the
you can trust us so much
all the controls of your plane
every so often from a glimpse out if it is
pigeons and a half coming or not
so in conclusion the algorithms in
general are going so fast
so far ahead that or we change ours
approach or we will find ourselves as in the
joke that is fashionable in these
days of dog and man in the
factory you have to tell us that it says
what will be the factory of the future
because the future will be completely
automated with only two
employees a human being is a dog the
dog’s craft will be to hold
far away from all human beings
machines is so that it does not make trouble
the work of the human being as it will be
to feed the dog
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