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 = 0.0727
Ukusatshalaliswa okujwayelekile, ngoWilliam Sealy Gosset (umfundi) r = 0.0727
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
0.0666
Omuhle engaqinile
0.0209
Omuhle engaqinile
0.0941
Negative engaqinile
-0.1169
Negative engaqinile
-0.0089
Negative engaqinile
-0.0469
Omuhle engaqinile
0.0197
Answer 2-
Omuhle engaqinile
0.0169
Negative engaqinile
-0.0027
Omuhle engaqinile
0.0434
Negative engaqinile
-0.0239
Omuhle engaqinile
0.0400
Negative engaqinile
-0.0073
Negative engaqinile
-0.0555
Answer 3-
Negative engaqinile
-0.0228
Negative engaqinile
-0.0256
Omuhle engaqinile
0.0045
Omuhle engaqinile
0.0553
Negative engaqinile
-0.0232
Negative engaqinile
-0.0105
Omuhle engaqinile
0.0074
Answer 4-
Omuhle engaqinile
0.0329
Negative engaqinile
-0.0047
Omuhle engaqinile
0.0149
Negative engaqinile
-0.0412
Negative engaqinile
-0.0342
Negative engaqinile
-0.0074
Omuhle engaqinile
0.0449
Answer 5-
Negative engaqinile
-0.0094
Negative engaqinile
-0.0261
Negative engaqinile
-0.0230
Omuhle engaqinile
0.0463
Omuhle engaqinile
0.0346
Omuhle engaqinile
0.0300
Negative engaqinile
-0.0519
Answer 6-
Negative engaqinile
-0.0118
Negative engaqinile
-0.0530
Negative engaqinile
-0.0733
Omuhle engaqinile
0.0702
Negative engaqinile
-0.0155
Omuhle engaqinile
0.0470
Omuhle engaqinile
0.0129
Answer 7-
Negative engaqinile
-0.0643
Omuhle engaqinile
0.0935
Negative engaqinile
-0.0592
Negative engaqinile
-0.0012
Omuhle engaqinile
0.0092
Negative engaqinile
-0.0034
Omuhle engaqinile
0.0233
2) Lawula (Uvumelana kangakanani noma ungavumelani?)
Answer 8-
Omuhle engaqinile
0.0149
Omuhle engaqinile
0.0058
Omuhle engaqinile
0.0830
Omuhle engaqinile
0.0595
Negative engaqinile
-0.0326
Negative engaqinile
-0.0791
Negative engaqinile
-0.0463
Answer 9-
Omuhle engaqinile
0.0229
Negative engaqinile
-0.0238
Negative engaqinile
-0.0378
Omuhle engaqinile
0.0297
Omuhle engaqinile
0.0811
Negative engaqinile
-0.0113
Negative engaqinile
-0.0566
Answer 10-
Omuhle engaqinile
0.0132
Negative engaqinile
-0.0401
Negative engaqinile
-0.0533
Negative engaqinile
-0.0207
Omuhle engaqinile
0.0031
Omuhle engaqinile
0.0593
Omuhle engaqinile
0.0308
Answer 11-
Omuhle engaqinile
0.0224
Omuhle engaqinile
0.0023
Omuhle engaqinile
0.0128
Negative engaqinile
-0.0592
Negative engaqinile
-0.0166
Negative engaqinile
-0.0136
Omuhle engaqinile
0.0552
Answer 12-
Negative engaqinile
-0.0087
Omuhle engaqinile
0.0333
Omuhle engaqinile
0.0523
Omuhle engaqinile
0.0403
Negative engaqinile
-0.0660
Omuhle engaqinile
0.0087
Negative engaqinile
-0.0436
Answer 13-
Negative engaqinile
-0.0947
Negative engaqinile
-0.0346
Negative engaqinile
-0.0132
Omuhle engaqinile
0.0111
Omuhle engaqinile
0.0178
Omuhle engaqinile
0.0731
Omuhle engaqinile
0.0036
Answer 14-
Negative engaqinile
-0.0009
Omuhle engaqinile
0.0838
Negative engaqinile
-0.0344
Negative engaqinile
-0.0762
Negative engaqinile
-0.0236
Negative engaqinile
-0.0102
Omuhle engaqinile
0.0767


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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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