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 = 0.0846
Ukusatshalaliswa okujwayelekile, ngoWilliam Sealy Gosset (umfundi) r = 0.0846
Ukusatshalaliswa okungajwayelekile, nguSpyman r = 0.0037
UkuhlephulaOkungajwayelekile-Ngokwejwayelekile-Ngokwejwayelekile-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
0.0570
Negative engaqinile
-0.0377
Omuhle engaqinile
0.1017
Negative engaqinile
-0.1119
Omuhle engaqinile
0.0292
Negative engaqinile
-0.0507
Omuhle engaqinile
0.0269
Answer 2-
Omuhle engaqinile
0.0374
Omuhle engaqinile
0.0229
Omuhle engaqinile
0.0456
Negative engaqinile
-0.0045
Omuhle engaqinile
0.0068
Negative engaqinile
-0.0070
Negative engaqinile
-0.0697
Answer 3-
Negative engaqinile
-0.0192
Negative engaqinile
-0.0343
Omuhle engaqinile
0.0021
Omuhle engaqinile
0.0597
Negative engaqinile
-0.0124
Negative engaqinile
-0.0068
Negative engaqinile
-0.0126
Answer 4-
Omuhle engaqinile
0.0115
Omuhle engaqinile
0.0310
Omuhle engaqinile
0.0224
Negative engaqinile
-0.0166
Negative engaqinile
-0.0600
Negative engaqinile
-0.0258
Omuhle engaqinile
0.0488
Answer 5-
Omuhle engaqinile
0.0209
Negative engaqinile
-0.0161
Negative engaqinile
-0.0244
Omuhle engaqinile
0.0113
Omuhle engaqinile
0.0113
Omuhle engaqinile
0.0306
Negative engaqinile
-0.0414
Answer 6-
Negative engaqinile
-0.0462
Negative engaqinile
-0.0515
Negative engaqinile
-0.0994
Omuhle engaqinile
0.0833
Omuhle engaqinile
0.0152
Omuhle engaqinile
0.0467
Omuhle engaqinile
0.0169
Answer 7-
Negative engaqinile
-0.0516
Omuhle engaqinile
0.0780
Negative engaqinile
-0.0446
Negative engaqinile
-0.0453
Omuhle engaqinile
0.0181
Omuhle engaqinile
0.0138
Omuhle engaqinile
0.0386
2) Lawula (Uvumelana kangakanani noma ungavumelani?)
Answer 8-
Omuhle engaqinile
0.0157
Omuhle engaqinile
0.0320
Omuhle engaqinile
0.0753
Omuhle engaqinile
0.0752
Negative engaqinile
-0.0109
Negative engaqinile
-0.1067
Negative engaqinile
-0.0702
Answer 9-
Omuhle engaqinile
0.0203
Negative engaqinile
-0.0441
Negative engaqinile
-0.0353
Omuhle engaqinile
0.0010
Omuhle engaqinile
0.0823
Negative engaqinile
-0.0173
Negative engaqinile
-0.0131
Answer 10-
Omuhle engaqinile
0.0554
Negative engaqinile
-0.0259
Negative engaqinile
-0.0192
Negative engaqinile
-0.0221
Negative engaqinile
-0.0365
Omuhle engaqinile
0.0248
Omuhle engaqinile
0.0335
Answer 11-
Omuhle engaqinile
0.0219
Omuhle engaqinile
0.0052
Omuhle engaqinile
0.0038
Negative engaqinile
-0.0402
Omuhle engaqinile
0.0002
Negative engaqinile
-0.0141
Omuhle engaqinile
0.0318
Answer 12-
Negative engaqinile
-0.0506
Omuhle engaqinile
0.0363
Omuhle engaqinile
0.0292
Omuhle engaqinile
0.0542
Negative engaqinile
-0.0687
Omuhle engaqinile
0.0413
Negative engaqinile
-0.0523
Answer 13-
Negative engaqinile
-0.1082
Negative engaqinile
-0.0387
Negative engaqinile
-0.0090
Omuhle engaqinile
0.0258
Negative engaqinile
-0.0102
Omuhle engaqinile
0.0896
Omuhle engaqinile
0.0111
Answer 14-
Negative engaqinile
-0.0027
Omuhle engaqinile
0.0573
Negative engaqinile
-0.0550
Negative engaqinile
-0.1102
Omuhle engaqinile
0.0135
Omuhle engaqinile
0.0416
Omuhle engaqinile
0.0747


Thekelisa MS Excel
Lokhu kusebenza kuzotholakala kumavoti akho e-VUCA
Kulungile



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


2023.11.27
Valerii Kosenko
Umnikazi Wemikhiqizo iSaas Pet Project SDTEST®

UValerii wafaneleka njengodokotela wezengqondo wezenhlalo - ngo-1993 futhi usekusebenzise ulwazi lakhe ekuphathweni kwephrojekthi.
UValerii wathola iziqu ze-master kanye nephrojekthi kanye nemenenja yohlelo ngo-2013. Ngesikhathi sohlelo lwenkosi yakhe, wajwayela i-Project RoadMap (GPM Deutsche GesellSchaft Für projektnagement e. V.) kanye nama-Spiral Dynamics. V.) kanye ne-Spiral Dynamics. V.) kanye ne-Spiral Dynamics. V.) kanye ne-Spiral Pynamics
UValerii uthathe izivivinyo ezahlukahlukene zeSpiral Dynamics futhi wasebenzisa ulwazi nolwazi lwakhe lokuvumelanisa nohlobo lwamanje lwe-SDTEST.
IValerii ngumbhali wokuhlola ukungaqiniseki kwe-v.u.c.A. Umqondo usebenzisa amandla ashukumisayo we-Spiral kanye nezibalo zezibalo ku-psychology, amavoti angaphezu kwama-20.
Lokhu okuthunyelwe kunayo 0 Ukulayisana
Phendula ku
Khansela impendulo
Shiya umbono wakho
×
YINI nephutha
Phakamisa VERSION YAKHO EFANELE
Faka i-imeyili yakho njengoba oyifunayo
Thumela
Khansela
Redirect to your region's domain sdtest.us ?
YES
NO
Bot
sdtest
1
Sawubona lapho! Ake ngikubuze, ngabe usujwayele amandla ashukumisayo eSpiral?