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 = 0.0874
Ukusatshalaliswa okujwayelekile, ngoWilliam Sealy Gosset (umfundi) r = 0.0874
Ukusatshalaliswa okungajwayelekile, nguSpyman r = 0.0039
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
0.0647
Negative engaqinile
-0.0402
Omuhle engaqinile
0.1238
Negative engaqinile
-0.1305
Omuhle engaqinile
0.0097
Negative engaqinile
-0.0535
Omuhle engaqinile
0.0344
Answer 2-
Omuhle engaqinile
0.0497
Omuhle engaqinile
0.0373
Omuhle engaqinile
0.0295
Negative engaqinile
-0.0054
Negative engaqinile
-0.0046
Negative engaqinile
-0.0176
Negative engaqinile
-0.0596
Answer 3-
Negative engaqinile
-0.0307
Negative engaqinile
-0.0330
Omuhle engaqinile
0.0063
Omuhle engaqinile
0.0822
Negative engaqinile
-0.0127
Negative engaqinile
-0.0159
Negative engaqinile
-0.0149
Answer 4-
Negative engaqinile
-0.0069
Omuhle engaqinile
0.0432
Omuhle engaqinile
0.0293
Negative engaqinile
-0.0238
Negative engaqinile
-0.0470
Negative engaqinile
-0.0193
Omuhle engaqinile
0.0315
Answer 5-
Omuhle engaqinile
0.0069
Negative engaqinile
-0.0237
Negative engaqinile
-0.0152
Omuhle engaqinile
0.0131
Negative engaqinile
-0.0018
Omuhle engaqinile
0.0608
Negative engaqinile
-0.0308
Answer 6-
Negative engaqinile
-0.0388
Negative engaqinile
-0.0576
Negative engaqinile
-0.1067
Omuhle engaqinile
0.0816
Omuhle engaqinile
0.0191
Omuhle engaqinile
0.0491
Omuhle engaqinile
0.0162
Answer 7-
Negative engaqinile
-0.0360
Omuhle engaqinile
0.0619
Negative engaqinile
-0.0510
Negative engaqinile
-0.0486
Omuhle engaqinile
0.0403
Omuhle engaqinile
0.0061
Omuhle engaqinile
0.0322
2) Lawula (Uvumelana kangakanani noma ungavumelani?)
Answer 8-
Omuhle engaqinile
0.0254
Omuhle engaqinile
0.0424
Omuhle engaqinile
0.1084
Omuhle engaqinile
0.0601
Negative engaqinile
-0.0356
Negative engaqinile
-0.1149
Negative engaqinile
-0.0695
Answer 9-
Omuhle engaqinile
0.0118
Negative engaqinile
-0.0446
Negative engaqinile
-0.0559
Omuhle engaqinile
0.0325
Omuhle engaqinile
0.0961
Negative engaqinile
-0.0228
Negative engaqinile
-0.0252
Answer 10-
Omuhle engaqinile
0.0535
Negative engaqinile
-0.0376
Negative engaqinile
-0.0089
Negative engaqinile
-0.0281
Negative engaqinile
-0.0308
Omuhle engaqinile
0.0262
Omuhle engaqinile
0.0309
Answer 11-
Omuhle engaqinile
0.0157
Omuhle engaqinile
0.0103
Negative engaqinile
-0.0089
Negative engaqinile
-0.0482
Omuhle engaqinile
0.0039
Omuhle engaqinile
0.0010
Omuhle engaqinile
0.0318
Answer 12-
Negative engaqinile
-0.0377
Omuhle engaqinile
0.0444
Omuhle engaqinile
0.0304
Omuhle engaqinile
0.0435
Negative engaqinile
-0.0755
Omuhle engaqinile
0.0475
Negative engaqinile
-0.0432
Answer 13-
Negative engaqinile
-0.1232
Negative engaqinile
-0.0353
Negative engaqinile
-0.0230
Omuhle engaqinile
0.0330
Negative engaqinile
-0.0105
Omuhle engaqinile
0.0883
Omuhle engaqinile
0.0191
Answer 14-
Omuhle engaqinile
0.0124
Omuhle engaqinile
0.0425
Negative engaqinile
-0.0572
Negative engaqinile
-0.1125
Omuhle engaqinile
0.0256
Omuhle engaqinile
0.0326
Omuhle engaqinile
0.0763


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[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.
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