Saturday, 4 May 2019

OPERATION CONDOR IN EUROPE

you

00:37

but

01:05

okay I think we are the mic input there

01:14

okay this is part two of the stream I

01:18

started the other day which was a

01:20

reaction to reactions to the local

01:24

election results and all of the coming

01:26

an hour ring and hair-pulling about the

01:30

proposed deal that Teresa may now want

01:33

to do with Jeremy Corbyn and effectively

01:37

what I’ve been doing since then it’s

01:40

kind of trying to look behind the

01:41

narrative behind the narrative and so

01:47

this is a theme that doesn’t just go

01:50

back to the 2015 election general

01:54

election in the UK or merely the 2016

01:59

briggsie election

02:02

it goes back considerably further than

02:06

that even if one goes back to the Second

02:12

World War the end of the Second World

02:14

War and the formation of the European

02:18

economic and Steel community prior to

02:25

that even if you go back you’ll find

02:27

articles by HG Wells about a chat with

02:31

mr. stright who proposed an EU you find

02:37

proposals for a unified Europe in

02:42

Hitler’s writing but then again even if

02:46

you go back all that to the first four

02:50

World War three to the sigh you go back

02:53

before that you go to the turmoil of

02:56

1848 and the revolutions across Europe

02:58

then you go back even further than that

03:02

to

03:03

the 18 what’s in the Napoleonic Wars and

03:08

then the post-napoleonic more

03:12

settlements and it’s there really where

03:17

modern real politics starts in the sense

03:21

of the writing of Henry Kissinger so

03:30

what I wanted to do was I’ve got a whole

03:34

bunch of windows open on my computer

03:36

which are beginning to cloak things up a

03:40

bit and what I’m gonna do on the screen

03:43

here I’m just gonna come from left to

03:45

right and basically say something about

03:52

each window save the link and this is

03:57

really just the notes for whatever it is

04:00

I’m going to write next up and I’m not

04:03

quite sure what that’s going to be I

04:05

have been wondering whether there’s a

04:09

poem in this or whether it actually

04:14

should sort of actually get me into

04:18

finishing off conquest of dough and

04:22

plugging some of these

04:25

angles on this many-faceted thing we

04:29

call life and and finish off that the

04:36

novel aligned with that the publishing

04:43

portal and the web 3 aside of the

04:50

working title of objective Kuntz

04:52

objective counts

04:54

paradigm shifts thomas kuhn and all that

04:57

and again part of what i’ve been working

05:05

on these past few days is getting my

05:08

integrated development environment kind

05:10

of up to speed on my machine having all

05:16

these windows open isn’t really helping

05:18

me with that either so as long as

05:21

introduction but anyway let’s just kick

05:24

off with the first window we just get my

05:32

aspera document here from the video

05:38

which i did

05:40

which is this is part 2 of the beginning

05:43

of wisdom you can see it’s not actually

05:46

dragging across my computer’s not

05:50

enjoying this at all so anyway here’s

05:52

this document

06:05

put a few links in there but what this

06:08

is is the transcript and this is what

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I’m after from doing this video is I’m

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going to try and keep my sentences short

06:16

and clear and work through these windows

06:21

so I’ve got a record of Windows that had

06:23

open because there’s some interesting

06:24

stuff here

06:25

and some sites I’ve not visited before

06:27

so that’s this document here which I’m

06:31

now gonna just get on my other screen

06:35

here

06:49

with the paragraphs and timings as they

06:52

go as well so anyway what is the first

06:55

window that I’ve got here but there are

06:58

a series of YouTube videos oh and here’s

07:03

this first one here and this was the

07:07

channel floor series of films a

07:11

journalist I think she’s called Carol

07:13

Caroline Cadwallader in the observer

07:16

broke the cambridge analytic a story

07:19

about election meddling by Russians by

07:25

the Mercer’s by Bannon by the alt-right

07:29

that this Cambridge analytical thing

07:32

cropped up and this video Channel 4 News

07:36

the 19th of March highlights a kind of a

07:42

sting operation on the then chief

07:47

executive a chap by the name of Nix you

07:52

can see him up here Alexander Nix and

08:00

it’s talking about psycho graphics and

08:10

the use of social media to form profiles

08:17

of voters or consumers and then using

08:23

these predisposed biases to message

08:31

those people now anyone that knows

08:35

anything about Google Analytics and

08:37

anyone who has been involved in internet

08:42

marketing or knows how Facebook Ads

08:45

Google Ads how Siri

08:51

algorithms work shouldn’t have been

08:57

surprised by any of this stuff what is

09:00

more surprising is that one aggrieved

09:03

party

09:05

it should try to expose another for

09:10

using these techniques which have been

09:14

well known since the 1930s and people

09:20

like

09:29

Edward Bernays and Walter Lippman

09:35

torches of freedom if that doesn’t mean

09:37

anything to any of you look it up

09:40

Google torches of free freedom Edward

09:43

Bernays if you’ve watched manufacturing

09:46

consent already manufacturing can’t

09:48

because consent which is a book by Noam

09:54

Chomsky and I always struggle to

09:58

remember the other guy’s name that wrote

10:00

it with him and anyway it’s a good film

10:07

worth watching

10:08

but this analytical stuff really just

10:12

brings up today those techniques but

10:15

instead of using rolodexes and punch

10:21

card computers and what-have-you

10:23

we using modern Mitch digital technology

10:27

and modern networked computing and what

10:32

this actually does is it means that

10:34

there is more more and quicker

10:37

communication which can be more

10:40

personalized and therefore it’s less of

10:47

a sledgehammer to crack a nut I mean

10:50

basically you build a nut cracker for

10:52

each individual consumer voter etc and

10:59

with iterative processes

11:08

machine learning and what we call

11:12

artificial intelligence the

11:13

possibilities of this stuff are would

11:18

say that mind boggling is to understate

11:24

quite what the possibilities are

11:27

but the problem with these possibilities

11:30

is right along with very large numbers

11:36

just the vastness and the amount of

11:38

information is potentially available is

11:44

is more than we can cope with we all

11:49

have different levels of information but

11:53

we do we filter we make priorities in

11:57

terms of what we see at any one time our

12:00

sensors work like that otherwise you get

12:02

sensory overload and so filtering and

12:11

anticipating and interpreting what is

12:16

coming before us it is part of the

12:20

process of of thinking and it’s

12:25

something that we do subconsciously and

12:32

therefore

12:41

with this sort of

12:47

open door that we are offering by say

12:52

going online or even opening your eyes

12:56

in the modern world there’s a lot

12:59

there’s a lot going on and they’ll you

13:04

know people shouting for attention all

13:07

the rest of it and Cambridge analytic ah

13:10

is really just a small aspect of this

13:14

much larger question about the

13:21

manipulation of the analog to this was

13:27

there was a lot of stuff about

13:28

subliminal advertising which was banned

13:31

in the 1960s and 1970s and subliminal

13:37

advertising was flashing

13:39

quick images which weren’t visible to

13:43

the human took to our conscious mind but

13:46

which registered subconsciously and

13:49

therefore you know an advert about

13:51

something would be playing and it would

13:53

play images that stimulated other

13:56

thoughts that would then marry up and

13:58

something I must go and get one of those

14:01

subliminal advertising was a thing and I

14:07

can test this still a thing

14:09

it’s gone on several degrees of

14:12

sophistication and Cambridge política I

14:17

decided to watch these channel fulfilled

14:23

were saying and to think of them in

14:27

terms of not so much of what they were

14:29

saying

14:35

I Andres

14:42

guided to think about these matters so

14:46

if one looks oh the staff is aimed at

14:50

dealing it amaizing Trump of D

14:53

legitimizing the vote of regs is

14:59

and then closing off those thought pads

15:06

think well if they can do it surely the

15:08

other people can do it too and the

15:11

answer that is yes of course they they

15:13

they have and they did in the 2007

15:23

about conservative party call centers

15:27

who were reading scripted things do

15:33

voters and misleading voters now you

15:35

don’t hear anything about that anymore

15:37

at this stage of the you know the break

15:40

is it a fudge if you like so that really

15:46

it is what I I was forming the view of

15:52

when I watched these again now I’m just

15:55

gonna as I go I’m not going to play

15:59

specific bits of fat but what I might do

16:02

he’s actually do a big

16:12

you may get all the transcripts together

16:16

and do a big when it does I go because

16:22

there is a transcript on this I think

16:27

I might actually have because I’ve got

16:34

so much right so let’s just close that

16:38

window cambridge analytical

16:41

clothes over frozen what’s happened here

16:53

but still you still seem to be going

16:55

right okay so I’m gonna leave that one

16:58

open because that’s my streaming window

17:00

and then let’s just get this next window

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open here

17:08

it’s going to take a little time this

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right so here’s the reaction to the

17:13

former CEO being grilled by MPs

17:18

so I’m just gonna because this was a

17:22

story that went on for quite a while if

17:24

you remember first I heard of Cambridge

17:29

analytic it was actually Sam Williamson

17:32

channel I loved his channel and he was

17:36

was mentioning Cambridge analytical in

17:43

one of his early Briggs it is an inside

17:46

job videos which again I’m gonna revisit

17:52

and I’m just kind of make a note here

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say I want to do some textual analysis

18:11

on this just to get the keywords out of

18:14

Cambridge analytical stories so that was

18:26

Amazon annex said he was tricked into

18:28

boasting to an undercover reporter

18:30

working for this program that this

18:32

little stretchy firm used honey traps

18:34

and bribery to smear Kalitta call

18:36

opponents an interesting part of that is

18:39

the steel dossier and Russia gate thing

18:43

in and the steel dossier and it’s links

18:48

to the scrip alifair and the mysterious

18:54

Pablo Miller and the D notices

18:58

surrounding that episode which kind of

19:00

came after Cambridge analytical but this

19:03

Alexander Knicks and the the boasting

19:07

that he said to him you know that he

19:10

claims to have been doing is quite an

19:17

interesting thing occurred to me when I

19:19

was listening to his his explanations of

19:23

what he had or had not been doing but

19:26

will come to another interesting part of

19:28

that in in one of the other videos

19:31

coming up

19:43

right now then this is a year this is

19:48

July 2017 okay and this is a film by

19:53

Gabriel gatehouse should be Gabriel

19:57

gatekeeper

19:58

Gabriel gatehouse I’ve done another blog

20:03

about Gabriel gatehouse and a lot of his

20:09

videos about Russian meddling and he

20:14

does a lot of these stories that kind of

20:17

surround the propaganda narratives and

20:21

the Russian meddling ones are really

20:23

quite interesting I he’s an interesting

20:25

character he speaks Russian and I think

20:31

several other languages he did another

20:35

film about the referendum or renders

20:40

that they have him in Switzerland

20:43

talking about William Tell I will find

20:48

that blog and I will put that in the

20:51

thing but he interviews the chief

20:58

executive of Cambridge analytic a year

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before all this these exposures coming

21:04

out and that’s quite an interesting

21:08

quite an interesting thing I mean he

21:14

asked the guy you know what are you a

21:15

con man you sort of say you’re saying

21:17

these things one way and then the other

21:18

and you know there’s another interesting

21:23

clip of American politician actually

21:25

says oh well yeah they said they’re

21:27

going to help us with the Ted Cruz

21:29

campaign made all these great promises

21:31

but frankly it was all

21:41

as a psychologist

21:48

I I do question the motives of them

21:56

this this infographic here is quite

21:59

interesting but I the links will be in

22:02

the description and with their titles

22:05

and you can watch them in your own

22:09

obviously I I’ve formed my own kind of

22:12

angle

22:16

whatever point it is that pops out at

22:19

the end of this video and SoundCloud

22:44

as I say I’m really not sure where this

22:48

is going but I wanted to just get these

22:50

notes print off the transcript they run

22:55

the video processes come on please and

23:04

then I can free up my processing power

23:18

right so that’s that video there the

23:21

news night one was about a year before

23:30

because that story if you think about it

23:32

it did run for a long time

23:49

next

24:01

like us else downloading another browser

24:05

at the moment right okay what’s that

24:10

free analysis and guitar jammin that

24:14

came up in my feed and I’ve left it here

24:17

and furry analysis is really very

24:22

interesting because what it does is it

24:24

basically is a predictive forecasting

24:26

thing based on waveforms and

24:30

look-up tables and it forms the basis of

24:36

a lot of climate modeling but a lot of

24:38

other modeling as well and this is a

24:42

good video which I watched some time it

24:44

gets from 2009 it’s not quite a few

24:46

views but the mathematics of modeling

24:51

and predictive algorithms is based on

24:57

analogs in nature and so you have

25:00

different phenomena I say the gas laws

25:02

or various aspects of chaos and what

25:14

these these waveforms or these geometric

25:20

or trigonometry sort of shapes are then

25:26

mapped on to other data sets and then

25:30

the data sets are then set to run

25:33

according to whatever the waveform of a

25:40

particular phenomena which it is fancied

25:43

kind of lines up with what seems to be

25:47

happening and this then comes to sort of

25:49

fitting of graphs fitting of shapes and

25:54

forms and we’re going to come up in a

25:58

minute to then know Newman’s elephant

26:00

and so this video here is kind of a bit

26:06

out sequence I’m just going to put it in

26:09

here but it’s relevant to van

26:11

women’s elephant which at this stage may

26:17

or may not mean something to you but it

26:20

will do in just a little while it’s

26:32

quite interesting to know I had a look

26:35

about what I was sort of pining for my

26:38

sound modeling days which is put it this

26:42

way it’s much more fun than modeling

26:44

public opinion

26:51

so there we are that’s that analysis

27:00

that’s the one next window

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all right the next window here

27:13

okay that’s my youtube channel and

27:17

suggest the things to watch so what have

27:19

we got

27:20

I haven’t watched that yet Apocalypse

27:22

Now real versus fake

27:24

that’s windows on the world that’s an

27:29

interesting question and here we are

27:33

Tommy Robinson sacked on campaign trail

27:35

I would have fought Miller on peds whoo

27:41

this is Anthony Joshua he’s got a boxing

27:46

match real time coming up so anyway

27:51

that’s

27:57

know what some of these open this is my

28:07

right and I see is married to my wife’s

28:11

cousin in there there’s a mate of mine

28:13

lives up in Stockholm who sent me this

28:18

ahead and I’m just gonna just run

28:20

through these and what it is is the web

28:23

3 foundation we started by war start and

28:27

wood and Gavin wood wrote the theorem

28:30

yellow paper and he’s a co-founder of

28:32

aetherium which is something I’ve been

28:34

working on since 2015

28:38

mm yeah 2015 2016 but my latest work is

28:48

on web 3 and Gavin has another project

28:56

called polka dot and web 3 seems to be

28:59

about that I’ve been working ipfs which

29:02

is a guy called

29:09

Bennett one Bennett who’s dr. yard when

29:17

he’s doing the doctoral at Stanford but

29:19

ipfs is a super network of computers

29:24

polka dot is proposing another thing and

29:26

it kind of glue that joins them all

29:28

together and allows different

29:31

distributed networks to talk to each

29:33

other it’s incredibly fascinating but

29:36

there are a number of posts which

29:38

they’re recruiting for my own background

29:43

isn’t in computer programming my own

29:48

background actually in valuation

29:50

surveying and the basis of surveying is

29:57

trigonometry which is why surveyors crop

30:00

up across history

30:01

like for instance not many people know

30:04

this Machiavelli was a surveyor and he

30:07

and Leonardo da Vinci knew each other

30:09

cuz linen DaVinci used to do a bit of

30:11

surveying as well for various of Waring

30:15

princelings around

30:16

Italy but the point about my discipline

30:31

which is valuation is that valuation

30:34

uses computer modeling for something

30:42

called sensitivity analysis risk

30:44

analysis and what have you had portfolio

30:46

valuations and I mean I I started using

30:51

something called Monte Carlo analysis

30:53

back in the mid 80s before Excel existed

30:56

I used to use something called Lotus

30:58

1-2-3 and in those days we didn’t even

31:02

have computer terminals on our desk I

31:04

work for a big oil company shell UK and

31:08

to do my valuation modeling work at

31:13

Shell I actually used to go and well I

31:17

did it with the computer scientists that

31:19

work the data center of that shell so

31:27

I’ve had an interest in personal

31:29

computers not since the 70s when you

31:35

used to read to build your own I wasn’t

31:36

a member of the computer Club at school

31:38

I we did study basic programming in

31:43

maths I don’t know if anyone else

31:46

remembers that sort of a half a three

31:50

sizing

31:51

textbook was just called basic with

31:53

green writing on the front what a short

31:55

look and I can remember we’re doing that

32:00

as we were learning basic without actual

32:04

computers in maths we go figure but the

32:09

point about all of that is that when the

32:14

internet sort of came on the scene so if

32:21

you look at the early eighties mid 80s

32:25

through into the 1990s the BBC computing

32:29

programs and then when the internet came

32:36

along

32:38

this is after after windows really

32:45

before

32:50

the mid-nineties not many people even

32:53

knew it existed and we’re at that point

33:03

with web 3 is really the point I’m

33:06

making here and what the web 3

33:08

Foundation say it’s doing is it’s trying

33:10

to get people to adopt it more quickly

33:12

for society to benefit etc and and

33:17

assembly this because I I’ve been

33:20

looking for something to do I think what

33:26

I need to do is start a business which

33:28

rugby scratch with my head about for a

33:31

while at my head what’s a sensible thing

33:34

to start a business in at this stage of

33:36

what I think is is state monopoly

33:39

capitalism whereby any competition has

33:45

been pretty much crowded out of the

33:47

market as being well but basically

33:51

marginalized that’s how I see it anyway

33:54

and so figuring out things like a web 3

33:59

foundation you know what what’s their

34:04

motivation where’s this headed looking

34:07

at some of the narratives that are

34:08

highly suspicious of the Internet of

34:11

Things and certainly 5g for instance

34:18

where some of the motivations of the

34:21

more corporate aspects of distributed

34:24

computing and institution aspects of

34:27

distributed computing I mean we and

34:30

Banach works at Stanford Gavin wood

34:34

obviously did a theory but if you look

34:38

at the discussions that he and metallic

34:41

boots are in who also there’s a

34:43

co-founder of

34:46

have going along one wonders how their

34:56

sympathies lie in terms of what I call

34:59

the non-government so organization

35:01

complex or sockpuppet complex how in the

35:06

wild are they how truly distributed and

35:11

democratic are these systems and so at

35:16

the back of my mind I like open source

35:22

computing and free computing but I look

35:26

to Richard Stallman

35:27

as my you know I’m he’s closer in age to

35:30

me then say gathering wood and I share

35:36

in common Richard stone and a lot of his

35:38

Asif II and I’m not sure in fact the

35:44

jury’s out for me on how much Woods

35:48

philosophy I share and it does become

35:51

significant in distributed computing

35:53

when there are models of hierarchy

35:59

leadership and top-down control and so

36:04

when you look at consensus algorithms

36:06

and you look at the consensus within

36:08

these networks how democratic are they

36:14

there is a thing called machine voting

36:16

I’m a Garren’s designed a proportional

36:18

representation system that you’ll find

36:20

on his personal website which is

36:22

fascinating stuff but what is the what’s

36:31

the underlying philosophy you know is

36:34

there free will in Gavin’s world or is

36:39

it a deterministic

36:43

world which here visions and there all

36:51

points in between really and so thanks

36:57

for this ambition I’m still kind of

36:58

thinking about it all these jobs are in

37:00

a place comes ooh in Switzerland and I

37:05

don’t really want to move to Switzerland

37:08

I miss the UK a great deal and but I

37:15

also I like being left alone in my study

37:19

in rural Sweden doing my own thing and

37:23

would quite happy work online

37:26

in fact I do quite happily work online

37:29

and whether that loosely work as part of

37:36

this sort of operation indeed whether or

37:39

not they’d be interested me working for

37:41

them as I said I’m not formally trained

37:45

and most of these jobs I know sits there

37:49

looking for a lot of postgraduate

37:51

degrees in various disciplines and which

37:57

suggests to me that they want people

37:58

that think the right way about things

38:00

rather than think about things outside

38:05

of the box and as an outside-of-the-box

38:09

think of myself I I don’t take kindly to

38:15

being put in a box that’s true but but

38:18

the other thing is that

38:25

as the paradigm moves towards the new

38:28

paradigm people are setting boundaries

38:32

from the next paradigm which will be a

38:35

carryover from the current one and my

38:38

suspicion about a lot of these

38:41

foundations is that the you know the

38:45

gatekeepers are already in place and the

38:52

properly promise of say Bitcoin which I

38:59

would say the early false promise and

39:01

the early promise of a theorem which I

39:04

don’t think was a false promise but

39:06

let’s remember where these places are or

39:09

where these things are actually

39:10

springing from and yeah I’m I am

39:16

skeptical I have to say I am I am

39:19

skeptical not about the technology and

39:21

not about the good it can do but in

39:24

which way is being directed and who is

39:29

doing their directing that’s kind of all

39:35

that so at this point I’m still

39:36

considering maybe sending a CV after

39:38

these people as usual they always say

39:42

you know if your job is an advertiser

39:45

there’s a right and tell us about

39:46

yourself so anyway we’ll see we’ll see

39:52

but anyway the web 3 foundation is

39:55

hiring so if anyone else is watching it

39:57

interesting the link is going in

40:00

just going to copy that now put it

40:02

across but it is relevant to this whole

40:06

idea of mass communication instant

40:11

communication consensus and influencing

40:14

the outcome of supposedly free votes

40:22

that’s the really the point so let’s

40:27

just

40:36

yeah

40:40

okay that’s now say so I can close that

40:44

window

40:49

all right polka dots this is polka dot

40:51

which is gavin woods

40:54

I’ve been looking at this for a while

40:58

now fascinating fellow Gavin wood these

41:02

are all the people working on the polka

41:04

dot network Aragon that’s something that

41:11

I’ve been using the energy web

41:17

foundation I haven’t had a look at that

41:19

I will do I’m just gonna copy the link

41:29

later they want to close these windows a

41:33

little going otherwise I’m

41:44

hope you don’t

41:49

and here we go this is Gavin woods

41:53

Twitter account and there are a few

42:00

things to look at on here

42:10

now this is interesting there’s a UK

42:14

Parliament petition where Gavin wood is

42:18

obviously supporting revoking article 50

42:23

now I ever would I don’t agree with that

42:27

I think that obviously that’s related to

42:33

the Cambridge analytical questions and

42:35

there’s another one coming up in a

42:37

minute about that and for all his

42:41

brilliance you know and then here we is

42:44

an exchange between Gavin and vitalik

42:48

where they’re discussing venture capital

42:57

funding models and why or why they

43:02

didn’t go with that and vittle except

43:05

maybe Gavin said something like I was

43:07

and he says no he didn’t but anyway that

43:10

was I’m gonna retweet just of interest I

43:16

mean I know Vito Luke has been courted

43:18

by people like Bill Gates and what have

43:22

you and I’m sure Gavin is fainted and

43:26

courted and indeed you know and they’ve

43:30

given gongs to people who’ve done a lot

43:32

less for you know cool stuff and then

43:36

Gavin so anyway here’s evidence that a

43:40

cool guy can do really uncool stuff so

43:50

that’s

43:55

let’s go onto the next next one yeah

44:02

here we are right teams building at

44:06

polka dot polka dot a number of teams

44:08

start a research or building polka dot

44:10

infrastructure this is the web 3

44:12

foundation and here are a list of them

44:27

yeah

44:33

enjoy stream this is what it’s that’s a

44:36

distributed a few of these are open

44:39

video thing it was quite an interesting

44:47

looking at governance and how they do

44:49

these things I mean back in the day

44:51

there was a thing called the republic of

44:53

Doug on on YouTube and there is a

44:58

depository of it on my github done by a

45:02

Swedish probe that when I have in the

45:04

north of Sweden here which was a very

45:07

early indication of what could be done

45:10

by smart contracts of the ethereum

45:13

blockchain and for whatever reason there

45:19

was a Spanish political theorist that

45:22

seemed to have been involved as

45:24

interested in community courage who did

45:26

a lot of work or there and there is a

45:28

community currency there are several of

45:31

them actually in my debt hub and so when

45:35

you look now at distributed computing

45:37

and what all these different people are

45:39

doing to a certain extent web 3 is just

45:43

a reinvention of the wheel but

45:52

the problem as I see it with crypto

45:55

currencies is that they sought to just

45:57

replicate all the worst parts of finance

46:00

capitalism and usury as opposed to

46:03

concentrating on the things that it

46:05

truly could be better at so in a way it

46:10

was just exchanging the old soul you

46:14

know new boss same as the old boss and

46:18

so there’s a failure of imagination the

46:21

technology isn’t a failure of

46:22

imagination but there is a failure of

46:24

imagination as to the uses and

46:27

possibilities that the new technologies

46:29

can open up and part of that is

46:33

obviously that it can be used for more

46:36

freedom or it can be used for less

46:38

freedom simply because the information

46:42

can be distributed in different ways and

46:45

guided in different ways and so then we

46:47

go back to the whole idea of the psychic

46:51

graphic and Cambridge analytical and so

46:55

again you know is it free will or is it

46:58

determinism and so how many degrees of

47:01

freedom are there what are the choices

47:03

in the boundary conditions surrounding

47:06

the you know the so called machine

47:09

learning algorithms etc I mean these are

47:13

all interesting questions and

47:20

as I say our filters are such that a lot

47:25

of this stuff is is quite hard to take

47:28

him so this is teams building on polka

47:31

dot and I’m just gonna grab her

47:54

now then this one sparta released how to

47:58

claim your rewards I had a good look

48:00

this is was an interesting become a

48:07

validator now where was it I’m supposed

48:15

to be distributed Network and and it’s

48:18

proposing that people with the biggest

48:22

stakes in a kind of an auction get to be

48:25

these things they called validators who

48:27

decide what can and cannot be published

48:30

on this network

48:31

now these council members and i must say

48:36

i found that all a little bit elitist

48:42

considering it’s called sparta as well

48:44

as sparta famously had two kings they

48:46

were kept in check by the ephors and so

48:50

effectively these guys have got a force

48:52

and the question in classical antiquity

48:55

always was so who watches the ephors

48:58

which is not a bad question if you think

49:01

about it son but I’m gonna keep back

49:07

because I wanted to give that some more

49:09

thought and have a look at that I mean

49:13

it’s an early stage coin thing and part

49:18

of the thing that has occurred to me

49:20

with these new platforms is when they

49:24

come along with the coin attached and

49:26

all the rest of it you know there are

49:28

something like thirteen hundred separate

49:30

quarries already

49:31

all of which perfectly fine for doing

49:35

this stuff if they’re convertible into

49:37

something spendable and therefore you

49:43

don’t need a token to to get these

49:46

things going you just don’t

49:51

because if the technology works then

49:54

really so anyway that’s another question

50:02

about all this stuff is that if you look

50:07

at an individual thing as a standalone

50:09

thing that’s one thing and therefore you

50:12

would want your token and your token in

50:15

theory gives you independence but if you

50:17

look at it as a a symbiotic system

50:22

whereby they’re all contributing in an

50:29

anti fragile way to the system I mean

50:35

you could argue well you know we could

50:37

have another queen like another coin I

50:41

I’m just skeptical that that’s the way

50:46

to go because there are so many of them

50:50

and they all seem to me to do pretty

50:56

much the same sort of thing and so

51:06

as with all these things that there

51:08

there are a million questions about each

51:10

individual point just to get it down on

51:17

paper as it were the point about

51:24

application specific use cases for

51:31

services sales hire a noose right

51:44

or stuff is what you could call the real

51:47

economy and tokens is that it’s the

51:52

holding place the money is merely an IOU

52:01

so

52:06

if you’re providing staff or a service

52:10

or whatever and a national level you

52:14

know you’re going to deal with the

52:15

national currency the way that national

52:18

currencies are done is not democratic

52:22

and it’s not fair so you want to escape

52:29

from that form of manipulation is having

52:37

your own token a possibility well of

52:39

course we know it’s a possibility but

52:42

all these other tokens also exist and so

52:47

you have to look at the basis that they

52:49

come about and there are three basic

52:50

ways they come about there are what they

52:54

call pre mind core teams that’s a

52:58

central authority

52:59

there are mined coins and there’s kind

53:02

of like a hybrid between the two and

53:04

then you have the idea of going from

53:12

mining to staking which is the hybrid

53:14

that theory has been talking about doing

53:16

but has been finding quite hard to do

53:21

now

53:30

the question then becomes in or off

53:33

themselves those tokens are tokens

53:36

however they’re they’ve done however

53:38

they’re brought into existence all they

53:40

are are manufactured receipts staff is

53:44

those stuff you know the work that you

53:46

do is what you can only do that there’s

53:51

so many hours in the day as it were

53:52

there’s only you know so many bushels of

53:56

corn produced in one year so

54:09

if you attach a token to your stuff and

54:11

you’re in control of your own token how

54:16

does that then match up against these

54:19

other tokens is it better as it worth

54:21

well actually it’s probably better

54:23

because it’s actually backed by thing

54:24

but then how how ubiquitous can it

54:27

become and so the I suppose the question

54:31

that the point becomes the people with

54:34

the staff need to federate into the

54:36

tokens and this is where all my work I

54:40

did a lot of work on a proposed

54:43

federated currency called log on which

54:46

was looking at the the way they did

54:50

money in the Hanseatic League and

55:00

so effectively what brings value to the

55:05

tokens is the the reel web 3 economy

55:10

which is the stuff the services and all

55:12

the rest of it which includes you know

55:14

computer programming and stuff like that

55:16

but not the actual tokens the tokens

55:19

remain a token it’s not it’s not a thing

55:24

in itself and that’s the the big

55:28

cleavage between the thinking of what I

55:31

call the Bitcoin bread heads as opposed

55:35

to the Bitcoin entrepreneurs like a

55:38

bread head is not necessarily an

55:40

entrepreneur because they’re not doing

55:42

stuff or a service making it better all

55:45

of that stuff that we told markets

55:47

produce with competition and innovation

55:50

and all that sort of thing so I found

55:56

reading this Sparta staff and joy in

56:00

their video platform and how they

56:02

propose to govern it quite interesting

56:06

and I’ve gotta say unconvincing

56:15

but it however unconvincing it was to me

56:21

it may be convincing to you and it rains

56:24

entry they are you know it’s kind of

56:29

like a live experimentation so but

56:35

they’re also behind the curve because

56:38

already there is bit tube which is doing

56:44

pretty much the same thing and steam it

56:47

which is doing pretty much the same

56:48

thing which is the challenge that I have

56:51

for my proposed publishing portal

56:56

and what I would say about my proposed

56:59

publishable is it’s not going to have

57:01

its own coating because it doesn’t need

57:03

one and

57:16

that’s on the basis that people using

57:18

have got stuff and they’re going to be

57:20

exchanging their stuff and just

57:22

accepting that other tokens that exist

57:24

have value and basically they can choose

57:30

the ones that have an immediate exchange

57:31

value for day-to-day needs and my own

57:37

preferred way of then changing my

57:42

cryptographic value into valued whole is

57:49

through volt arrow to convert it into

57:51

gold and when voters start doing silver

57:54

or someone else does into silver as well

57:56

and holding those two commodity monies

58:00

and if someone implemented Bernard lady

58:05

a’s terror currency for instance I I

58:08

would be very interested in holding

58:10

terror

58:11

natira because that’s you know it’s

58:14

tangible

58:15

and it’s crypto tokens are intangible

58:21

and they only have value as long as

58:25

people have stuff that they’ll accept

58:27

for them so if you develop stuff and you

58:29

were accept you know it’s the stuff that

58:34

has the value and therefore the value in

58:35

the network are the people who are doing

58:38

actual stuff and it’s a simple point but

58:46

it’s one that seems to pass so many

58:49

people buy perhaps because it is such a

58:51

simple point

58:53

a very interesting sign you got over

59:04

your neck ring sparta which has someone

59:07

who’s just been kicked in the groin

59:18

parity substrata there’s gather game

59:47

they’ll cult of personality going on

59:49

there gaff yes we can

59:55

very Obama s with the colors as well the

60:03

biggest badger games chain maximum

60:08

nerves of the world you not you have

60:11

nothing to lose but your chains

60:41

the dot token I’ve just been saying

60:44

about tokens

60:51

so much of this stuff is repetition so

60:56

much of it is just retreaded money for

61:01

old rope it has to be said and

61:11

yeah

61:14

operation game theory incentivize token

61:17

holders to behave in honest ways good

61:19

act as a reward by this making more bad

61:20

actors lose their stake in the network

61:22

this ensures the network stays secure

61:31

I am NOT a great fan of game theory I’ve

61:35

got to tell you

61:42

it is one view of human nature and has

61:48

developed that is productive

61:55

I mean that said I like shoe bigs worth

62:01

anyway that’s the reason these things

62:08

are relevant to Cambridge analytical and

62:11

to the narrative behind the narrative is

62:15

that no one knows where this all ends up

62:18

or where indeed we’re going but we do

62:22

know the direction of travel and the

62:23

direction we’re moving in and so big

62:28

themes climate change carbon currency 5g

62:37

Internet of Things

62:45

federalization right down to the city

62:47

state level and getting rid of nations

62:52

and really I mean in a way we’re turning

62:57

citizen citizens have been turned into

63:01

consumers who in turn with this law are

63:03

being turned into ashes now you can look

63:05

at that one way I’m not a number on the

63:07

free man I’m not a number I’m a hash is

63:11

a hash the same as a free man well a

63:13

hash can provide the protections of

63:16

anonymity in theory up to a point and so

63:22

those are three big themes here which

63:27

are emerging as the narrative behind the

63:33

narrative what is the overarching

63:36

direction of travel and what are the

63:41

strong currents we can identify in the

63:45

current narratives on the surface level

63:48

to see what’s happening sort of you know

63:51

underneath in in those currents another

63:55

strong theme that I’ve come to over the

63:59

past few months is looking at the in

64:02

this water metaphor when this body of

64:04

water is the idea that the water in the

64:12

fish tank is being changed and you know

64:14

there’s the old maxim that you know that

64:16

the fish doesn’t know the water it swims

64:18

in until it you take it away and in

64:24

modern Commerce the water we all swim in

64:27

is money and we take it for granted and

64:33

if the way that money has done it change

64:36

I they’re changing the water which is

64:38

kind of happening at the moment and on

64:41

this point on my laptop I did save it

64:47

there was a video of Stiglitz telling us

64:53

all that all we should get rid of crypto

64:56

currencies don’t don’t like them at all

64:58

and of course the dollar is a wonderful

64:59

thing it’s done very well but it should

65:02

be more digital it was a disingenuous

65:06

thing I must say let me just

65:44

again so

65:52

there you go Uncle Joe the joseph

65:58

stiglitz right so that’s Stiglitz

66:13

my agency is mad

66:20

5g versus climate change that’s a

66:23

question I put to ranjaar myself the

66:25

other day there’s a bank holiday in

66:28

Britain yesterday around Jena later

66:33

notifications

66:39

they’re a tickle over is a positive

66:42

money positive money who have had the

66:46

push by the green NGO complex

67:04

financial i-285 Gina that’s rain chance

67:08

log

67:14

some interesting conversations with

67:16

range em that they seek should rebellion

67:22

I’m gonna leave that question in there

67:25

because it is a good question I did

67:26

retweet that they say 5g is very bad for

67:31

health and bad for the environment and

67:34

all carbon-based life forms and it’s way

67:39

more damaging to everybody in everything

67:43

than co2 in the atmosphere

68:01

now now that’s there I’m just gonna find

68:05

this idiots that’s a

68:17

because what I did I know I responded to

68:20

it because I put the episode or great

68:24

ask an episode four of these hidden

68:26

secrets of money to Mike Malone things

68:48

that’s the one she blows

68:58

as my little stiglitz priest of usery

69:03

get you come on mate

69:05

are we doing here

69:17

because seriously it’s worth making at

69:23

watching but do have you’re sick bag

69:26

handy I would say

69:35

through these very quick because this is

69:37

still struggling

70:00

knowing

70:19

okay anyone who stumbles on this stream

70:22

I’m just going through to get some

70:27

windows closed I’ve been working on this

70:29

stuff for about three days and I wanted

70:32

to get some notes down and this I found

70:35

is a good way of doing it if I stream

70:37

live and talk I didn’t use the

70:40

transcript as full of notes to actually

70:45

refer back to at a later date etc

71:08

Michael Hudson

71:16

so this is an exponential function this

71:21

much misunderstood

71:54

okay that’s on my LinkedIn this is the

71:57

guy the CEO of bit chew we were just

72:03

looking at spa or enjoy and all that

72:06

sort of thing well these guys are

72:09

already there and it I’ve got a channel

72:15

and it seems to work very well

72:25

the bit to bat and Crow

72:29

and pays two for people to watch your

72:33

videos and videos that you watch and you

72:36

can then put them in you’ve got more

72:38

lesson and exchange them

72:41

and so it’s myself this is the idea

72:46

where you have a service and you have

72:49

your own carrot corn and it becomes kind

72:51

of self-perpetuating you can mine this

72:54

coin and I mean the mining I get

73:07

and I suppose if you’re gonna do it you

73:09

would federates it and you would make

73:11

your coin exchangeable for any other

73:13

coins so for instance I should be able

73:15

to buy their coin with another coin that

73:19

I’m able to mine which also supports the

73:21

network say a theorem or something else

73:26

and that kind of works it’s it’s another

73:35

layer but not another layer of

73:38

complexity but another layer of

73:44

subsidiarity in a way mutuality so

73:52

that’s that’s the point going back to

73:55

the Sparta thing and the point I was

73:56

making about real stuff and the

74:00

tokenization side of things so people

74:03

with real stuff can accept tokens or

74:06

they can issue tokens the exchange

74:10

ability and applicability of those

74:12

tokens in other stuff based projects as

74:21

opposed to mere token based or exchange

74:24

based products

74:28

it’s a really interesting question that

74:30

needs developing a little further but

74:34

both steam and bitch you already have an

74:39

instance all of this and ipfs have got

74:47

file coin which is kind of storage and

74:50

that sort of works because the storage

74:51

means that you know that your files are

74:58

going to be available and so they will

74:59

download slightly quicker over a lot

75:02

quicker in some cases so note to self

75:09

yet again re-examine my earlier work on

75:18

logon and for years and

75:29

distributing applications with real

75:34

tangible services and stuff time and

75:38

labor skin in the game things as opposed

75:46

to the for a for a medium that is

75:53

supposed to disintermediate a token is

75:57

really just a

76:05

intermediary

76:10

without corporeal form as it were it’s a

76:14

digital intermediary as opposed to a

76:18

trusted third-party intermediary but

76:21

it’s it’s no less controlled who is

76:26

benefiting from that distributed

76:28

intermediary token and it’s a question

76:33

to develop and go back to so I’m just

76:39

going to make my notes

77:26

right okay so that’s that’s an

77:31

interesting thought

77:41

LinkedIn

77:46

cool

77:54

okay all right

78:00

i beep PBC roadmap this is the roadmap

78:04

for bitch who bore the organization

78:08

behind it beta version Press

78:14

International

78:39

right very draw next up we have no this

79:05

is paper Lee this is my theorem

79:07

newspaper which generates automatically

79:12

if it’s thrown up some very interesting

79:14

articles over the years yeah I read this

79:20

thing yesterday Bitcoin testing 6,000

79:23

level will justify overall surge and

79:25

cryptocurrency optimism I mean that is

79:28

like reading tea leaves and this one to

79:33

his way at theorem is in the early stage

79:35

of possible mega rally and there is so

79:38

much nonsense that these people talk

79:43

it’s divorced from the real staff in the

79:50

world and skin in the game

79:57

and it goes back to what we’re saying

79:59

about van Newman’s elephant which is

80:02

coming up as well anyway that’s the

80:05

paper Lee newspaper which is it’s an

80:11

interesting way of actually finding

80:14

different things to read that don’t come

80:17

up in the Google search algorithms or so

80:19

many other search engines quite well

80:25

it’s been coming out for years now

80:31

all right refine medium video content

80:34

blockchain now this is the one with the

80:36

video content

80:51

network of moderation this is the

80:52

network of moderators again was this

80:59

related to Sparta or not I’m not it’s

81:01

very similar in its conception and with

81:06

what it’s trying to do is clearly not

81:12

what her first mover’s advantage because

81:14

that is well there’s D – there’s bit

81:18

shoot and there is bit tube and here

81:25

it’s interesting to know the difference

81:26

between cloud-based computing and

81:29

distributed computing they are different

81:33

cloud-based computing is still a server

81:37

based model won’t be with multiple

81:43

single points of failure as opposed to

81:44

one point of failure distributed

81:48

computing is potentially has for

81:54

subsidiarity of every node every

81:57

terminal London on the network acting

82:01

autonomously all in concert so it’s a

82:06

difference of degree rather than of kind

82:10

although in some respects it’s a

82:12

difference of kind

82:18

I would say it’s more a difference of

82:20

degree rather than the kind so there we

82:25

are refined medium

82:44

seriously they have their own token as

82:47

well this interoperability of tokens is

82:53

a very interesting question

82:59

right behind me

83:06

yeah

83:16

vision

83:33

like paper all of that just

83:45

I mean I started reading this they’re

83:48

based in Hong Kong these people and I

83:50

don’t know if it’s just a language thing

83:52

but I found it