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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.


Sirdoonka macmalka ah iyo dhamaadka ilbaxnimada

Country
Language
-
Mail
Dib u qorid
Qiimaha Halis ah Wehliyaha xiriir ah
Qaybinta caadiga ah, by William Bads Gossist (Ardayga) r = 0.0763
Qaybinta caadiga ah, by William Bads Gossist (Ardayga) r = 0.0763
Qaybinta aan caadiga ahayn, by spearman r = 0.0031
QaybintaAan
caadi ahayn
Caadi ahAan
caadi ahayn
Caadi ahCaadi ahCaadi ahCaadi ahCaadi ah
Dhammaan su'aalaha
Dhammaan su'aalaha
1) Nabdoonaanta (Imisaad ku raacsan tahay ama aadan ku raacsaneyn?)
2) Xakamee (Imisaad ku raacsan tahay ama aadan ku raacsaneyn?)
1) Nabdoonaanta (Imisaad ku raacsan tahay ama aadan ku raacsaneyn?)
Answer 1-
Positive daciif ah
0.0780
Negative daciif ah
-0.0013
Positive daciif ah
0.1092
Negative daciif ah
-0.0965
Negative daciif ah
-0.0082
Negative daciif ah
-0.0554
Positive daciif ah
0.0083
Answer 2-
Positive daciif ah
0.0290
Negative daciif ah
-0.0016
Positive daciif ah
0.0401
Negative daciif ah
-0.0312
Positive daciif ah
0.0451
Positive daciif ah
0.0015
Negative daciif ah
-0.0620
Answer 3-
Negative daciif ah
-0.0142
Negative daciif ah
-0.0519
Negative daciif ah
-0.0059
Positive daciif ah
0.0485
Negative daciif ah
-0.0108
Negative daciif ah
-0.0076
Positive daciif ah
0.0174
Answer 4-
Positive daciif ah
0.0204
Positive daciif ah
0.0084
Positive daciif ah
0.0182
Negative daciif ah
-0.0414
Negative daciif ah
-0.0314
Negative daciif ah
-0.0132
Positive daciif ah
0.0495
Answer 5-
Negative daciif ah
-0.0036
Negative daciif ah
-0.0097
Negative daciif ah
-0.0185
Positive daciif ah
0.0477
Negative daciif ah
-0.0030
Positive daciif ah
0.0301
Negative daciif ah
-0.0557
Answer 6-
Negative daciif ah
-0.0414
Negative daciif ah
-0.0556
Negative daciif ah
-0.0823
Positive daciif ah
0.0795
Negative daciif ah
-0.0012
Positive daciif ah
0.0520
Positive daciif ah
0.0146
Answer 7-
Negative daciif ah
-0.0600
Positive daciif ah
0.1144
Negative daciif ah
-0.0542
Negative daciif ah
-0.0096
Positive daciif ah
0.0012
Negative daciif ah
-0.0080
Positive daciif ah
0.0241
2) Xakamee (Imisaad ku raacsan tahay ama aadan ku raacsaneyn?)
Answer 8-
Positive daciif ah
0.0283
Positive daciif ah
0.0174
Positive daciif ah
0.0583
Positive daciif ah
0.0581
Negative daciif ah
-0.0182
Negative daciif ah
-0.0745
Negative daciif ah
-0.0550
Answer 9-
Positive daciif ah
0.0097
Negative daciif ah
-0.0287
Negative daciif ah
-0.0387
Positive daciif ah
0.0305
Positive daciif ah
0.0863
Negative daciif ah
-0.0161
Negative daciif ah
-0.0470
Answer 10-
Positive daciif ah
0.0190
Negative daciif ah
-0.0334
Negative daciif ah
-0.0417
Negative daciif ah
-0.0013
Negative daciif ah
-0.0142
Positive daciif ah
0.0502
Positive daciif ah
0.0176
Answer 11-
Positive daciif ah
0.0358
Positive daciif ah
0.0118
Positive daciif ah
0.0160
Negative daciif ah
-0.0628
Negative daciif ah
-0.0127
Negative daciif ah
-0.0174
Positive daciif ah
0.0434
Answer 12-
Negative daciif ah
-0.0211
Positive daciif ah
0.0354
Positive daciif ah
0.0631
Positive daciif ah
0.0352
Negative daciif ah
-0.0736
Positive daciif ah
0.0029
Negative daciif ah
-0.0414
Answer 13-
Negative daciif ah
-0.1112
Negative daciif ah
-0.0452
Negative daciif ah
-0.0103
Positive daciif ah
0.0029
Positive daciif ah
0.0144
Positive daciif ah
0.0795
Positive daciif ah
0.0259
Answer 14-
Positive daciif ah
0.0038
Positive daciif ah
0.0641
Negative daciif ah
-0.0297
Negative daciif ah
-0.0850
Negative daciif ah
-0.0222
Positive daciif ah
0.0037
Positive daciif ah
0.0820


Dhoofinta in MS Excel
Shaqadan ayaa laga heli doonaa codbixintaada VUCA
Hagaag



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


2023.11.27
Valeri Kosenko
Milkiilaha wax soo saarka ee SAS PET PROSS SDTEst®

Valeri waxay u qalmay sidii barbaarin bulsheed-cilmi-nafsi-cilmu-nafsi sanadkii 1993, ilaa iyo markaasna wuxuu aqoon u yeeshay aqoontiisa mashruuca.
Valerikai waxay heshay shahaadada Masterka iyo is-ka-shaashadda mashruuca iyo heerka tababarka barnaamijka 2013. Intii uu socday barnaamijka sayidkiisa, wuxuu caan ku noqday mashruuca Qorshe-hawleedka (GPM Deutsche Gesellschaft für projektnaft für projektnaft) iyo dhaqdhaqaaqa dhaqdhaqaaqa.
Valerikai waxay qaadatay tijaabooyin kala duwan oo firfircoon oo firfircoon oo loo adeegsaday aqoontiisa iyo khibradiisa si ay ula qabsadaan nooca hadda ah ee SDTEst.
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