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 = 0.0029
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
0.0643
Omuhle engaqinile
0.0187
Omuhle engaqinile
0.0956
Negative engaqinile
-0.1202
Negative engaqinile
-0.0005
Negative engaqinile
-0.0499
Omuhle engaqinile
0.0193
Answer 2-
Omuhle engaqinile
0.0151
Negative engaqinile
-0.0051
Omuhle engaqinile
0.0441
Negative engaqinile
-0.0253
Omuhle engaqinile
0.0350
Negative engaqinile
-0.0038
Negative engaqinile
-0.0503
Answer 3-
Negative engaqinile
-0.0220
Negative engaqinile
-0.0216
Omuhle engaqinile
0.0115
Omuhle engaqinile
0.0603
Negative engaqinile
-0.0284
Negative engaqinile
-0.0143
Omuhle engaqinile
0.0013
Answer 4-
Omuhle engaqinile
0.0293
Negative engaqinile
-0.0083
Omuhle engaqinile
0.0101
Negative engaqinile
-0.0467
Negative engaqinile
-0.0320
Omuhle engaqinile
0.0006
Omuhle engaqinile
0.0502
Answer 5-
Negative engaqinile
-0.0072
Negative engaqinile
-0.0246
Negative engaqinile
-0.0240
Omuhle engaqinile
0.0477
Omuhle engaqinile
0.0335
Omuhle engaqinile
0.0284
Negative engaqinile
-0.0527
Answer 6-
Negative engaqinile
-0.0121
Negative engaqinile
-0.0537
Negative engaqinile
-0.0769
Omuhle engaqinile
0.0657
Negative engaqinile
-0.0086
Omuhle engaqinile
0.0466
Omuhle engaqinile
0.0152
Answer 7-
Negative engaqinile
-0.0591
Omuhle engaqinile
0.0965
Negative engaqinile
-0.0600
Omuhle engaqinile
0.0071
Omuhle engaqinile
0.0060
Negative engaqinile
-0.0071
Omuhle engaqinile
0.0168
2) Lawula (Uvumelana kangakanani noma ungavumelani?)
Answer 8-
Omuhle engaqinile
0.0132
Omuhle engaqinile
0.0035
Omuhle engaqinile
0.0801
Omuhle engaqinile
0.0543
Negative engaqinile
-0.0260
Negative engaqinile
-0.0781
Negative engaqinile
-0.0439
Answer 9-
Omuhle engaqinile
0.0242
Negative engaqinile
-0.0234
Negative engaqinile
-0.0420
Omuhle engaqinile
0.0280
Omuhle engaqinile
0.0824
Negative engaqinile
-0.0099
Negative engaqinile
-0.0551
Answer 10-
Omuhle engaqinile
0.0165
Negative engaqinile
-0.0378
Negative engaqinile
-0.0547
Negative engaqinile
-0.0176
Omuhle engaqinile
0.0019
Omuhle engaqinile
0.0566
Omuhle engaqinile
0.0289
Answer 11-
Omuhle engaqinile
0.0146
Omuhle engaqinile
3.46E-5
Omuhle engaqinile
0.0290
Negative engaqinile
-0.0583
Negative engaqinile
-0.0296
Negative engaqinile
-0.0094
Omuhle engaqinile
0.0558
Answer 12-
Negative engaqinile
-0.0069
Omuhle engaqinile
0.0343
Omuhle engaqinile
0.0508
Omuhle engaqinile
0.0414
Negative engaqinile
-0.0658
Omuhle engaqinile
0.0075
Negative engaqinile
-0.0442
Answer 13-
Negative engaqinile
-0.0955
Negative engaqinile
-0.0364
Negative engaqinile
-0.0180
Omuhle engaqinile
0.0054
Omuhle engaqinile
0.0261
Omuhle engaqinile
0.0732
Omuhle engaqinile
0.0073
Answer 14-
Omuhle engaqinile
0.0035
Omuhle engaqinile
0.0867
Negative engaqinile
-0.0352
Negative engaqinile
-0.0661
Negative engaqinile
-0.0264
Negative engaqinile
-0.0137
Omuhle engaqinile
0.0689


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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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