test esekelwe encwadini «Spiral
Dynamics: Mastering Values, Leadership,
and Change» (ISBN-13: 978-1405133562)
Abaxhasi

AI Assistants Boost Beginners More Than Experts, Study Shows Correlation

There once was an AI named Chat who was really good at repeating back information it already knew. One day, Chat was given to some office workers [1] to help them with their jobs. Some of the workers were experts at their jobs, while others were still learning.  


At first, Chat helped all the workers get more work done faster - even the experts! But soon, the experts noticed something funny. The workers who were still learning got way MORE help from Chat. The new workers improved a lot using Chat, doing their work faster and better than ever before!   


The experts wondered why Chat didn't help them as much. That's when they realized - that Chat is an expert at repeating back facts but can't come up with brand new ideas. So, for workers who already knew those facts, Chat didn't offer them that much new help. But for newer workers still learning those basics, Chat was able to teach them so much more!


This shows a correlation - as in, two things that relate to each other and change together. The more expert a worker already was, the less helpful Chat was for them. But for newer workers, Chat could help them almost as much as the experts! It's because of their different starting points. Chat has a limit to how expert it can be. So, the closer a worker already was to Chat's expertise, the less new stuff Chat offered them.


The experts and newbies improved at different rates thanks to Chat. Their own expertise compared to Chat's matters for how much more they can learn. That connection in how much they improve is the correlation!


The SDTEST® gives clues to someone's motivational values. However, additional polls can provide more pieces of the puzzle.


Imagine also giving an "A.I. and the end of civilization" poll. It asks people to rate at the agree or disagree level. 


Now imagine 100 people who took both tests. You could match up each person's SDTEST® colors with their rated answers about the danger of AI.


Comparing tests gives an expanded picture of values in action. More puzzle pieces make the whole image more apparent!


Multiple tests can work together, like colors blending on a palette. Other polls reveal what engages your values, like what is the perception of the danger of AI. Combined, they paint a richer picture of what motivates our thoughts and deeds.


Below you can read an abridged version of the results of our VUCA poll “A.I. and the end of civilization“. The full results of the poll are available for free in the FAQ section after login or registration.


Ubuhlakani bokufakelwa kanye nokuphela kwempucuko

AmashadiUkuhlanganisa
?
Nabu ubudlelwano phakathi kwezimpendulo zokuvota kanye nama-spiral dynamics alolonga imibala
VUCA
?
Nakhu ukubuka kwesixhumi esibonakalayo esisha se-Correlation kuthebula ngamaleveli e-Spiral Dynamics lapho ukuguquguquka, ukungaqiniseki, ukuba yinkimbinkimbi, kanye nokungaqondakali (V.U.C.A.) kuboniswa ngokuncika okuhle nokubi kokuhlotshaniswa okuhle nokubi phakathi kwezimpendulo zenhlolovo kanye nemibala ye-Spiral Dynamics
Izwe
Ulimi
-
Mail
Landisa
Inani Ebucayi Coefficient ukuhlanganisa
Ukusatshalaliswa okujwayelekile, ngoWilliam Sealy Gosset (umfundi) r = 0.0718
Ukusatshalaliswa okujwayelekile, ngoWilliam Sealy Gosset (umfundi) r = 0.0718
Ukusatshalaliswa okungajwayelekile, nguSpyman r = 0.0029
UkuhlephulaOkungajwayelekile-NgokwejwayelekileOkungajwayelekile-Ngokwejwayelekile-Ngokwejwayelekile-Ngokwejwayelekile-Ngokwejwayelekile-Ngokwejwayelekile
Yonke imibuzo
Yonke imibuzo
1) Ukuphepha (uvumelana noma ungavumelani malini?)
2) Lawula (Uvumelana kangakanani noma ungavumelani?)
1) Ukuphepha (uvumelana noma ungavumelani malini?)
Answer 1-
Omuhle engaqinile
0.0708
Omuhle engaqinile
0.0197
Omuhle engaqinile
0.0942
Negative engaqinile
-0.1158
Omuhle engaqinile
0.0007
Negative engaqinile
-0.0461
Omuhle engaqinile
0.0163
Answer 2-
Omuhle engaqinile
0.0170
Negative engaqinile
-0.0075
Omuhle engaqinile
0.0441
Negative engaqinile
-0.0223
Omuhle engaqinile
0.0348
Omuhle engaqinile
0.0017
Negative engaqinile
-0.0533
Answer 3-
Negative engaqinile
-0.0306
Negative engaqinile
-0.0288
Omuhle engaqinile
0.0092
Omuhle engaqinile
0.0596
Negative engaqinile
-0.0264
Negative engaqinile
-0.0113
Omuhle engaqinile
0.0030
Answer 4-
Omuhle engaqinile
0.0348
Negative engaqinile
-0.0106
Omuhle engaqinile
0.0164
Negative engaqinile
-0.0570
Negative engaqinile
-0.0332
Omuhle engaqinile
0.0046
Omuhle engaqinile
0.0562
Answer 5-
Negative engaqinile
-0.0137
Negative engaqinile
-0.0241
Negative engaqinile
-0.0239
Omuhle engaqinile
0.0438
Omuhle engaqinile
0.0320
Omuhle engaqinile
0.0227
Negative engaqinile
-0.0554
Answer 6-
Negative engaqinile
-0.0138
Negative engaqinile
-0.0526
Negative engaqinile
-0.0740
Omuhle engaqinile
0.0650
Negative engaqinile
-0.0071
Omuhle engaqinile
0.0438
Omuhle engaqinile
0.0148
Answer 7-
Negative engaqinile
-0.0554
Omuhle engaqinile
0.1068
Negative engaqinile
-0.0652
Omuhle engaqinile
0.0149
Omuhle engaqinile
0.0042
Negative engaqinile
-0.0171
Omuhle engaqinile
0.0168
2) Lawula (Uvumelana kangakanani noma ungavumelani?)
Answer 8-
Omuhle engaqinile
0.0123
Omuhle engaqinile
0.0023
Omuhle engaqinile
0.0772
Omuhle engaqinile
0.0566
Negative engaqinile
-0.0241
Negative engaqinile
-0.0754
Negative engaqinile
-0.0436
Answer 9-
Omuhle engaqinile
0.0168
Negative engaqinile
-0.0315
Negative engaqinile
-0.0355
Omuhle engaqinile
0.0207
Omuhle engaqinile
0.0870
Negative engaqinile
-0.0030
Negative engaqinile
-0.0551
Answer 10-
Omuhle engaqinile
0.0171
Negative engaqinile
-0.0270
Negative engaqinile
-0.0694
Negative engaqinile
-0.0079
Negative engaqinile
-0.0035
Omuhle engaqinile
0.0573
Omuhle engaqinile
0.0309
Answer 11-
Omuhle engaqinile
0.0181
Omuhle engaqinile
0.0007
Omuhle engaqinile
0.0309
Negative engaqinile
-0.0588
Negative engaqinile
-0.0310
Negative engaqinile
-0.0125
Omuhle engaqinile
0.0558
Answer 12-
Negative engaqinile
-0.0034
Omuhle engaqinile
0.0263
Omuhle engaqinile
0.0655
Omuhle engaqinile
0.0322
Negative engaqinile
-0.0684
Negative engaqinile
-0.0152
Negative engaqinile
-0.0352
Answer 13-
Negative engaqinile
-0.0909
Negative engaqinile
-0.0336
Negative engaqinile
-0.0184
Omuhle engaqinile
0.0087
Omuhle engaqinile
0.0272
Omuhle engaqinile
0.0750
Negative engaqinile
-0.0014
Answer 14-
Omuhle engaqinile
0.0041
Omuhle engaqinile
0.0892
Negative engaqinile
-0.0341
Negative engaqinile
-0.0676
Negative engaqinile
-0.0262
Negative engaqinile
-0.0098
Omuhle engaqinile
0.0683


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[1] https://www.ft.com/content/b2928076-5c52-43e9-8872-08fda2aa2fcf


2023.11.27
FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma
Valerii Kosenko
Umnikazi Womkhiqizo i-SaaS SDTEST®

U-Valerii waqeqeshelwa ukuba yisazi sezengqondo zezenhlalo ngo-1993 futhi usesebenzise ulwazi lwakhe ekuphathweni kwephrojekthi.
U-Valerii uthole iziqu ze-Master kanye neziqu zephrojekthi kanye nomphathi wohlelo ngo-2013. Phakathi nohlelo lwakhe lwe-Master, wajwayelana ne-Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) kanye ne-Spiral Dynamics.
U-Valerii ungumbhali wokuhlola ukungaqiniseki kwe-V.U.C.A. umqondo usebenzisa iSpiral Dynamics kanye nezibalo zezibalo kupsychology, kanye namavoti angama-38 amazwe ngamazwe.
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