The Eternal Doorman

My comment: See  Clara Mattei on Institutions and Economics .  Subscribe to  Judging Freedom .  My comment : If you only look at capital flows then you will never be able to find any solution to the problems. You have to look at material and energy flows and at the web of dependencies they create and then at how that web would look in a properly functioning (i.e. sustainable) economy. A very important part of this analysis is information, knowledge and the necessary human skills to realise any industry. Economists try to understand all this by abstracting all the details away and then end up talking absolute nonsense about value as if it is measured in US dollars.  We need to build stable systems with convergent dynamics. See  Jenann Ismael - Laplace meets Godel: How Self reference Foils Prediction .  See  Frederic Schuller on Metric and Topological Spaces  and  Tensor Fields and Simplicial Complexes .  Subscribe to  Radhika D...

It's their new book  on presale now . Part II coming up:  My comment :  You've pointed out that there was a moment in human history when energy became separated from matter. That's what electricity was all about. I had never realised this before. It was not a moment of course, because if you look at the history of thermodynamics and theories about light and radiation then some things like Crookes radiometer are just as tricky as the photoelectric effect.  I still don't know what you mean by the material comprehension of Nature though. The problem I have is that it is more than the material, it is the particular way in which that material is arranged, and the arrangement of the material is something we do when we set up an experiment in a laboratory, and it is only once we get very skilled at arranging material that we find we can, for example, generate sufficient electrical potential to be able to measure it quantitatively with volt meters and compare the measurement...

Listening to Freya Holmér last night I started to get glimmers of an idea I had long ago about how to represent vector spaces in computational processes using this recursive abstract type :  abstype 'a point = POINT   of {getx :  'a vector,       diff :  'a point -> 'a point,       move :  'a point -> 'a point,       scale : 'a -> 'a point,       proj :  'a point -> 'a} with    fun new i (op +) (op -) (op * ) dot =    let fun self x =  POINT       {getx = x,        move = fn (POINT pr) =>           (self (x + (#getx pr))),        diff = fn (POINT pr) =>          self (x - (#getx pr)),        scale = fn i =>          (self (x * i)),        proj = fn (POINT pr) =>     ...

See  Disgusting British Establishment  and  Kim Iversen and Ben Swann on Pizzagate .  Here's his Victory Day monologue: Subscribe to  George Galloway . 

She says it's not to support the AI bubble, it's an evil plan to develop targetted bioweapons and stuff. See  Angela Collier on the US Department of Energy AI Scam . Y'all be on your best behavior now, ... see  Audrey Henson on Oracle and Healthcare Data . Subscribe to The Drey Dossier .  

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1:16:57 On metrics that don't measure and hair-dressers! See  Intransitive dice . See  Tensor Fields and Simplicial Complexes  and  observable in nlab : In physics and in the theory of dynamical systems (deterministic, stochastic, quantum, autonomous, non-autonomous, open, closed, discrete, continuous, with finite or infinite number of degrees of freedom…), an observable is a quantity in some theoretical framework whose value can be measured and observed in principle. Any good theoretical framework of physical phenomena should come with carefully established notion of an observable.  ... See also measurement in nlab : In principle, any interaction between two physical systems is a measurement, whereby each system measures the state of the other. In practice, we break the symmetry by treating one system as the real physical system S of study and the other system as merely a measuring apparatus A with the sole purpose of measuring S. If the properties of A are mo...

See  Queen's Bush : It is known as the location of communities established by Black settlers, many formerly enslaved in the United States, in what would become Canada. Established in 1820 and known as the Queen's Bush Settlement, the community grew to more than 2,000. In the early 1840s, the land on which they lived was surveyed for future sale. Following the survey, many of the Black residents were unable to pay for the land and migrated out of Queen's Bush. Listen to Michel Hudson on his sequel to his book on the future of civilization:  Michael Hudson Interviewed by Glenn Diesen .  Subscribe to  Robert Elder Software .  Subscribe to  Glenn Diesen . 

My comment : 6:09 Why, it's a department of energy scam of course. Didn't some AI once say intelligence would be something you can get on a metered account, like electricity? Or was that an AI CEO that said that? Or was it a goblin? 29:53 They destroyed science funding but they had to, to save the economy, see. This is how it goes: we have a huge amount of private debt invested in AI companies that have no "revenue model", i.e. they have no conceivable way to actually ever make a profit, because people only use AI because it's free. If you charge any reasonable amount for it (i.e. enough to cover the costs) then nobody will be able to afford to use any AI at all. So these businesses are not viable, but thousands of shadow banks and sovereign wealth funds and goodness knows what else have invested in them. Now the only thing to do is throw more money at it, so you get more institutions dependent on cheap AI and then you charge the smart ones to make the necessary...