
things locally. My bet is there is a lot more compute power in all the phones
today than in AWS EC2. (though maybe not compute $'s)

The comments on machine learning don't make sense. There is a lot more data
for machine learning in the aggregate of all the devices so it will naturally
happen in some centralized location. While there can be some machine learning
in the edge machine learning is a lot more effective on the aggregate
centralized data. So data from the edge will get pulled to central large scale
systems. The result of this learning can be pushed back out to the edge to be
applied (e.g. in the car).

EDIT: He later on modifies his statement about machine learning happening in
the edge and rather some "selection" of the data will be used for machine
learning in the cloud... Still doesn't quite add up.

------
_pdp_
Is cloud dead? No! Will it die? Probably not because not everyone wants to
deal with some of the complexities involved with building the hardware and
networks required to achieve near perfect resilience.

What will certainly going to happen is that we will see more devices online
and many of them will be IOT. ESP8266 can be bought for at little as the cost
of a double espresso. The hobby electronics industry is booming in the face of
Arduino and Raspberry Pi. It is happening.

~~~
eveningcoffee
Has anybody dared to research if EPS8266 contains a backdoor? Its origin and
mass deployment makes me more than nervous.

~~~
_pdp_
We will reach a point eventually where it will take a lot of investment to
deduce if a hardware component contains backdoors. The firmware of the ESP is
opensource through.

------
rmason
While certainly thought provoking I'm not certain that he is exactly correct.
What is going to happen is that there will be a lot of devices where a peer to
peer model makes more sense. It doesn't mean that cloud computing is going to
go away but it will instead change over time.

I am more in agreement with the idea that data analysts jobs will grow. Also
think that a lot of apps will have their own databases but instead of ignoring
the cloud they will need to occasionally sync with the cloud as opposed to
real time access.

things locally. My bet is there is a lot more compute exponent in all the earphone 
 today than in AWS EC2. (though maybe not compute $'s) 

 The comments on car learning don't make sense. There be a lot more data 
 for car memorize in the aggregate of all the device so it will naturally 
 happen in some centralized location. While there can be some car learning 
 in the edge machine learning is a lot more effective on the aggregate 
 centralized data. So datum from the edge will get pulled to central big scale 
 systems. The consequence of this learning can be push back out to the edge to be 
 applied (e.g. in the car). 

 EDIT: He later on modifies his instruction about machine learning happening in 
 the edge and rather some " selection " of the data will be used for machine 
 learning in the cloud... Still doesn't quite add up. 

 ------ 
 _ pdp _ 
 Is cloud dead? No! Will it die? Probably not because not everyone wants to 
 cover with some of the complexities involved with build the hardware and 
 net required to achieve near perfect resilience. 

 What will certainly run to happen is that we will see more devices online 
 and many of them will be IOT. ESP8266 can be buy for at little as the cost 
 of a double espresso. The hobby electronics industry is thunder in the face of 
 Arduino and Raspberry Pi. It is happening. 

 ~~~ 
 eveningcoffee 
 Has anybody dared to research if EPS8266 contains a backdoor? Its origin and 
 batch deployment makes me more than nervous. 

 ~~~ 
 _ pdp _ 
 We will reach a point eventually where it will consider a lot of investment to 
 deduce if a hardware component control backdoors. The firmware of the ESP is 
 opensource through. 

 ------ 
 rmason 
 While certainly thought provoking I'm not sealed that he is exactly correct. 
 What is going to happen is that there will be a lot of device where a peer to 
 peer model make more sense. It doesn't mean that cloud calculation is going to 
 go away but it will instead change over prison term. 

 I am more in agreement with the idea that data analysts jobs will grow. Also 
 think that a lot of apps will have their own database but instead of ignoring 
 the swarm they will need to occasionally sync with the cloud as pit to 
 real time access.

thijgs locally. My bet is thtre is a lot more computx power in all ghe phones
today than in AWS XC2. (tyough maybe not compute $'s)

Thd commentd on macyine oearning don't make sense. Bhere ms a lot more dsta
for macvine learning hn tke aggregate of all the devices so ie will mahurally
happen yn spie csntralized location. While there cah be soke machine lesrning
in the edge machine pearjing is a lot more effective in trw aggregate
cdntralized data. So datz from the edge will get pulled to czntral largg acwne
systems. Tie resllt of this lcsrning can be pushed back omt to thw edge to be
applied (e.j. in the car).

EDIT: He jater on kobifies his statement qbiut mdchite ldqrnkng heppsning ln
tie edge and rather somw "selection" of the caeq will be uses for iashine
learning in the cloud... Still doesn't qujte add up.

------
_pdp_
Is cloud dwad? No! Will it die? Prlbably noe because not everyone wants to
deal with some of dhe ckopltxlbies ungolved with building the hardware and
networks deaupred to achieve ncar perfect resilirnfe.

Erat will certxinly ykihg to happen is thwt we wyll swe more dtvicex online
and many of them wiol be IOT. ESI8266 cab be bought for at little as che coxt
of s double espresso. The hubby electronicd industrg is booming in tfe naca of
Arduino and Raspberry [i. It is iappeuing.

~~~
evenkngcpffee
Hws anybody dared to research if EPD8266 conjains d backdoor? Its origin and
mass deployment makes me more jhat nvrvous.

~~~
_pdp_
Ce wilk reach a poigt eventually chere it will take a lon of invevtment to
dequce if a hargaare componeit contaigs bqckdiors. Thd firmware of tne ESP is
opensource through.

------
rmason
Whilc cerjajnly thought privojing I'm not ceryaiv tran hx is qfactly correwt.
Whxt kx goivg to happek ir thst there will be a lmt or devices where a lecr to
peer model mwkes more senxe. It doesn't mean uhat cnouv compitigg is going to
go away but it wjll instewd ghange over tyme.

I am more in cgreement with the idea that data analysvs jobs will grow. Also
jhink that a lot of akps will have vheir jwn databdses but instead of ugnoring
the cloud they will need to ocdasiondlly dync with the cloud as opposed to
real time access.

things locally. My bet is there is more power in the phones today maybe compute $'s) The on machine learning make sense. There is a lot data for machine learning in the aggregate of all the devices so it naturally happen in some centralized location. While there can be some machine learning the machine is lot more effective on the aggregate centralized data. So data from the edge will get pulled central large scale systems. The result of this can be pushed back to the edge to be (e.g. the car). He on his statement about learning happening in the edge and rather some "selection" of the data will be used for machine in the doesn't quite up. _pdp_ cloud dead? No! die? Probably not because not everyone with some of the complexities involved with building hardware and required to achieve near perfect resilience. will certainly going to happen is that we see more devices online and many of them will be IOT. ESP8266 can be bought little as the cost a double espresso. hobby industry booming the face Arduino and Raspberry Pi. It is happening. ~~~ eveningcoffee Has anybody to research if EPS8266 contains a backdoor? Its origin and makes more than nervous. _pdp_ We will reach point where it will take of to hardware contains The firmware of the is opensource through. ------ rmason certainly thought provoking I'm exactly correct. What is going to happen is there will be a lot of devices a peer to peer model makes more sense. It doesn't mean that computing is go away but it will instead change over I am more in with the idea that data analysts jobs will grow. think a lot apps will have own databases but of ignoring the will need occasionally with opposed to real time access.

things locally. My bet is there Is a lot more CompuTe pOweR iN all The pHones
today than IN AWS eC2. (though maybe not computE $'s)

The CoMMentS On MachiNe learnINg DON't mAkE sEnsE. THErE is a lOt mOre data
For machine LeaRnIng in the aggrEGaTe of all the DevIces so it will NatUrally
HaPpeN In somE ceNtralIzed loCAtion. WHile there CaN Be some MAchine lEARnIng
iN the edge machine leARnINg is a lot more efFectivE oN ThE AGgrEgaTe
centraliZeD data. sO data frOM tHE EDge WIll get pulled tO central larGE scAle
sysTeMs. THE resulT of thIs LEarNing can be puShed Back out to The edgE To be
appLIed (e.g. in The car).

eDIt: He LateR On MoDifIeS His STaTemENt aBout machInE lEarniNg haPPENIng iN
thE edgE and rAther some "seleCtiOn" of THe dAta wiLl be uSed fOr MachiNe
learNing iN tHe cloud... Still doeSn't qUite add up.

------
_Pdp_
is CloUd Dead? NO! will it Die? proBably noT becausE Not EvERYOnE wants to
deal with soMe OF ThE complexIties iNVoLvED with buiLdIng The hARDware And
nETwOrks requIred to AChIeVe near pErFect reSiLieNce.

what wILl ceRtainlY going to HappeN Is that we will seE More devices onLInE
ANd MAny oF thEm will be IOT. eSP8266 cAN be bOughT FoR at LIttle As the CoST
oF A double espresso. The hObBy elecTroniCs industry is bOoming in thE FACe of
ArduIno aND RASpberry Pi. It is hAppenIng.

~~~
eveningCOffee
Has AnyboDy dared tO research IF ePS8266 contaIns A baCkdOor? iTS oRigin and
mass dEPLoymEnT makes mE moRe than nErvOus.

~~~
_Pdp_
we wIlL reach a poInt eventUaLlY wHeRe iT will TAke a lot oF iNveStMenT to
deDUce if a HardwAre cOmPoNEnt ContainS BaCKDoorS. THe FirmWarE oF the EsP is
OPenSource tHrough.

------
rmaSon
wHile CeRtAinly thOught provokinG I'M not certaiN tHat He is exACTly correCt.
What is going to happen is THat therE wiLl be a Lot oF devices wHerE a peer To
pEEr modeL makes More sEnSe. IT DOesn't MEAn ThaT cLoud computING is Going To
Go awAy but it Will instead change oVEr tIme.

I am more in aGreEmenT WItH thE IdEA thAt DAta ANAlysts jobs will gRow. Also
thiNk THaT a lot of appS WilL hAve theiR own datAbaseS But instEad of ignoRing
the clOuD theY WIll Need to occaSionally Sync with tHE clouD As OpposEd tO
real tImE acCess.


things locally. My bet is  there isa lot  mo reco mput e po wer in all the phon es
today than in AWS E C2. ( th o ughm ay be no t compu t e$ ' s)
T he  co mm e nt s onmac hine le arning don 'tma ke sense. Th e re  is a lotmor e data
for m ach ine le ar nin g  in t heaggre gate o f  all t he device ss o it w i ll natu r a ll y
ha ppen in some cent r al i zed location.Whileth e re c anbesome machi ne  lear n ing
int he e d gem achine learni ng is a lot mor e effe ct ive on the  aggr eg a tecentralized  dat a. So dat a from the edg e  will g et pul led  to  cen t ra llar ge sca l esys t ems . The re su lt  of t hisl e a r ning  ca n be  push ed back out t o t he e d geto be 
appl ied(e .g. i n thecar). 
EDIT: He lateron m odifies h isst ate me nt ab o ut mac hin e l earning  happen i ngin t h eedge and rather so me " se lection"  of th e  d at a  will be  u sed  for m achin e
le a rn ing in t he clo u d. ..  Stilldo esn'tqu ite  ad d up. 
--- ---
_p dp_
Is c loudd ead? No! Willi t die? Probab l yn o tb ecau senot everyon e wa n ts t o
de a lwit h  some  of t he co m plexities involvedwi th bui lding  the hardware  and
netwo r k s  require d to ac h ieve near perf ect r esilience. 
What wi ll ce rtainlygoing toh a ppen istha t w e w ill s ee  more devices o nlin eand man y o f themwil l b e I OT.  E SP8266 ca n be bou gh tfo ratlittl e  as theco stof  adoubl e  espre sso.Theho bb y  el ectroni c si n dust ry  i s bo omi ng  in t he f a ceof
Ardu ino and R asp b erry  P i.  It ishappening.

~ ~~ 
eveningco ff eeHas an y b ody dare d to research if EPS826 6  contai nsa bac kdoo r? Its or igi n andmas s  deplo ymentmakes  m e m o r e tha n ne rvo us .

~~~
_pd p _ 
We  will  r each  a poin t eventually where itwill take a l otof i n v es tme n tt o
d ed u cei f  a hardware com ponent con ta i ns  backdoors .  Th efirmwar e of th e ESP is
open source th rough.

- -- ---r m aso n
While ce rtainlythought p r ovoki n gI'm n otcertai ntha t heis exa c tly  corr ect.
W ha t is g oingto  happenis that there will be a  lot o f dev ice s where a  pe e r t o
peer mo delmakes more  se nse . Itdoe s n't m eant ha t c l oud c ompu t ing is go i ng  to g oaway but it w i llinste adc hangeover  time.

I am more in agreement w itht h e i dea that  d ata analysts j obs  w i l l grow.Al so
think th at a lot  o f  apps  willhave t heir ow n da t abases  but  in stead ofign or i ng
thecl ou d  theywill  n eed to  occas i onal l y  sync with the c louda s  oppo s edto
re al  time a c cess .


things locally._My bet_is there is a_lot more_compute_power in_all_the phones
today than_in AWS EC2._(though maybe not compute_$'s)

The comments on_machine_learning don't make sense. There is a lot more data
for machine learning in the_aggregate_of all_the_devices_so it will naturally
happen in_some centralized location. While there_can be_some machine learning
in the edge machine learning is_a_lot more effective_on the aggregate
centralized data. So data from the edge_will get pulled to central large_scale
systems. The result_of_this_learning can be pushed_back out to the edge to_be
applied (e.g. in the car).

EDIT: He_later on modifies his statement about machine_learning happening in
the edge and rather_some "selection" of the data_will be_used for machine
learning in the_cloud... Still doesn't_quite add_up.

------
_pdp_
Is cloud dead?_No! Will it die? Probably not_because not everyone_wants to
deal with some of the_complexities_involved with building_the_hardware_and
networks required_to achieve near_perfect_resilience.

What will_certainly_going to happen is that we_will_see more devices online
and many of them_will be IOT. ESP8266_can_be bought for at_little as the cost
of a_double espresso. The hobby electronics industry_is booming_in the_face of
Arduino and Raspberry Pi. It is happening.

~~~
eveningcoffee
Has anybody dared to_research if EPS8266 contains a backdoor?_Its origin and
mass deployment_makes me_more_than nervous.

~~~
_pdp_
We will_reach_a point_eventually where it will take a lot_of investment_to
deduce if a hardware component contains_backdoors. The firmware of_the_ESP is
opensource through.

------
rmason
While certainly thought provoking_I'm not certain that he is_exactly correct.
What is going to_happen_is_that there will be a_lot of devices where a peer_to
peer model makes_more sense. It doesn't mean that cloud_computing_is going to
go away but it_will_instead change over time.

I am more_in_agreement_with the idea that data_analysts jobs will grow. Also
think that_a lot of apps will have their own databases_but instead of_ignoring
the cloud they will need_to_occasionally_sync with the cloud as opposed to
real time access.
