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
0.0682
Omuhle engaqinile
0.0206
Omuhle engaqinile
0.0941
Negative engaqinile
-0.1169
Negative engaqinile
-0.0095
Negative engaqinile
-0.0471
Omuhle engaqinile
0.0198
Answer 2-
Omuhle engaqinile
0.0190
Negative engaqinile
-0.0033
Omuhle engaqinile
0.0434
Negative engaqinile
-0.0239
Omuhle engaqinile
0.0392
Negative engaqinile
-0.0076
Negative engaqinile
-0.0554
Answer 3-
Negative engaqinile
-0.0211
Negative engaqinile
-0.0261
Omuhle engaqinile
0.0046
Omuhle engaqinile
0.0553
Negative engaqinile
-0.0241
Negative engaqinile
-0.0108
Omuhle engaqinile
0.0075
Answer 4-
Omuhle engaqinile
0.0347
Negative engaqinile
-0.0051
Omuhle engaqinile
0.0149
Negative engaqinile
-0.0412
Negative engaqinile
-0.0349
Negative engaqinile
-0.0076
Omuhle engaqinile
0.0450
Answer 5-
Negative engaqinile
-0.0083
Negative engaqinile
-0.0264
Negative engaqinile
-0.0230
Omuhle engaqinile
0.0463
Omuhle engaqinile
0.0341
Omuhle engaqinile
0.0299
Negative engaqinile
-0.0519
Answer 6-
Negative engaqinile
-0.0218
Negative engaqinile
-0.0508
Negative engaqinile
-0.0736
Omuhle engaqinile
0.0705
Negative engaqinile
-0.0112
Omuhle engaqinile
0.0486
Omuhle engaqinile
0.0122
Answer 7-
Negative engaqinile
-0.0631
Omuhle engaqinile
0.0931
Negative engaqinile
-0.0592
Negative engaqinile
-0.0012
Omuhle engaqinile
0.0085
Negative engaqinile
-0.0037
Omuhle engaqinile
0.0235
2) Lawula (Uvumelana kangakanani noma ungavumelani?)
Answer 8-
Omuhle engaqinile
0.0170
Omuhle engaqinile
0.0053
Omuhle engaqinile
0.0831
Omuhle engaqinile
0.0595
Negative engaqinile
-0.0336
Negative engaqinile
-0.0794
Negative engaqinile
-0.0462
Answer 9-
Omuhle engaqinile
0.0253
Negative engaqinile
-0.0244
Negative engaqinile
-0.0378
Omuhle engaqinile
0.0297
Omuhle engaqinile
0.0802
Negative engaqinile
-0.0117
Negative engaqinile
-0.0565
Answer 10-
Omuhle engaqinile
0.0050
Negative engaqinile
-0.0381
Negative engaqinile
-0.0535
Negative engaqinile
-0.0207
Omuhle engaqinile
0.0068
Omuhle engaqinile
0.0608
Omuhle engaqinile
0.0303
Answer 11-
Omuhle engaqinile
0.0240
Omuhle engaqinile
0.0019
Omuhle engaqinile
0.0128
Negative engaqinile
-0.0592
Negative engaqinile
-0.0172
Negative engaqinile
-0.0139
Omuhle engaqinile
0.0554
Answer 12-
Negative engaqinile
-0.0078
Omuhle engaqinile
0.0331
Omuhle engaqinile
0.0523
Omuhle engaqinile
0.0403
Negative engaqinile
-0.0665
Omuhle engaqinile
0.0086
Negative engaqinile
-0.0435
Answer 13-
Negative engaqinile
-0.0941
Negative engaqinile
-0.0349
Negative engaqinile
-0.0132
Omuhle engaqinile
0.0111
Omuhle engaqinile
0.0173
Omuhle engaqinile
0.0730
Omuhle engaqinile
0.0037
Answer 14-
Omuhle engaqinile
0.0003
Omuhle engaqinile
0.0835
Negative engaqinile
-0.0344
Negative engaqinile
-0.0762
Negative engaqinile
-0.0242
Negative engaqinile
-0.0104
Omuhle engaqinile
0.0768


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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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