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

Izwe
Ulimi
-
Mail
Landisa
Inani Ebucayi Coefficient ukuhlanganisa
Ukusatshalaliswa okujwayelekile, ngoWilliam Sealy Gosset (umfundi) r = 0.0723
Ukusatshalaliswa okujwayelekile, ngoWilliam Sealy Gosset (umfundi) r = 0.0723
Ukusatshalaliswa okungajwayelekile, nguSpyman r = 0.003
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
0.0198
Omuhle engaqinile
0.0948
Negative engaqinile
-0.1173
Omuhle engaqinile
0.0004
Negative engaqinile
-0.0465
Omuhle engaqinile
0.0176
Answer 2-
Omuhle engaqinile
0.0154
Negative engaqinile
-0.0090
Omuhle engaqinile
0.0442
Negative engaqinile
-0.0260
Omuhle engaqinile
0.0362
Omuhle engaqinile
0.0004
Negative engaqinile
-0.0479
Answer 3-
Negative engaqinile
-0.0235
Negative engaqinile
-0.0260
Omuhle engaqinile
0.0113
Omuhle engaqinile
0.0620
Negative engaqinile
-0.0307
Negative engaqinile
-0.0160
Omuhle engaqinile
0.0002
Answer 4-
Omuhle engaqinile
0.0345
Negative engaqinile
-0.0031
Omuhle engaqinile
0.0097
Negative engaqinile
-0.0440
Negative engaqinile
-0.0319
Negative engaqinile
-0.0006
Omuhle engaqinile
0.0484
Answer 5-
Negative engaqinile
-0.0141
Negative engaqinile
-0.0245
Negative engaqinile
-0.0242
Omuhle engaqinile
0.0435
Omuhle engaqinile
0.0319
Omuhle engaqinile
0.0229
Negative engaqinile
-0.0549
Answer 6-
Negative engaqinile
-0.0143
Negative engaqinile
-0.0535
Negative engaqinile
-0.0747
Omuhle engaqinile
0.0647
Negative engaqinile
-0.0075
Omuhle engaqinile
0.0443
Omuhle engaqinile
0.0164
Answer 7-
Negative engaqinile
-0.0609
Omuhle engaqinile
0.0995
Negative engaqinile
-0.0608
Omuhle engaqinile
0.0052
Omuhle engaqinile
0.0063
Negative engaqinile
-0.0054
Omuhle engaqinile
0.0191
2) Lawula (Uvumelana kangakanani noma ungavumelani?)
Answer 8-
Omuhle engaqinile
0.0118
Omuhle engaqinile
0.0022
Omuhle engaqinile
0.0777
Omuhle engaqinile
0.0559
Negative engaqinile
-0.0247
Negative engaqinile
-0.0761
Negative engaqinile
-0.0422
Answer 9-
Omuhle engaqinile
0.0238
Negative engaqinile
-0.0257
Negative engaqinile
-0.0396
Omuhle engaqinile
0.0245
Omuhle engaqinile
0.0844
Negative engaqinile
-0.0101
Negative engaqinile
-0.0558
Answer 10-
Omuhle engaqinile
0.0171
Negative engaqinile
-0.0404
Negative engaqinile
-0.0565
Negative engaqinile
-0.0173
Omuhle engaqinile
0.0011
Omuhle engaqinile
0.0596
Omuhle engaqinile
0.0309
Answer 11-
Omuhle engaqinile
0.0210
Omuhle engaqinile
0.0035
Omuhle engaqinile
0.0309
Negative engaqinile
-0.0538
Negative engaqinile
-0.0331
Negative engaqinile
-0.0184
Omuhle engaqinile
0.0542
Answer 12-
Negative engaqinile
-0.0158
Omuhle engaqinile
0.0355
Omuhle engaqinile
0.0517
Omuhle engaqinile
0.0419
Negative engaqinile
-0.0698
Omuhle engaqinile
0.0059
Negative engaqinile
-0.0466
Answer 13-
Negative engaqinile
-0.0941
Negative engaqinile
-0.0361
Negative engaqinile
-0.0191
Omuhle engaqinile
0.0046
Omuhle engaqinile
0.0296
Omuhle engaqinile
0.0742
Omuhle engaqinile
0.0059
Answer 14-
Omuhle engaqinile
0.0037
Omuhle engaqinile
0.0903
Negative engaqinile
-0.0345
Negative engaqinile
-0.0687
Negative engaqinile
-0.0266
Negative engaqinile
-0.0098
Omuhle engaqinile
0.0702


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


2023.11.27
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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