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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 = 0.0727
Qaybinta caadiga ah, by William Bads Gossist (Ardayga) r = 0.0727
Qaybinta aan caadiga ahayn, by spearman r = 0.003
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
0.0734
Positive daciif ah
0.0222
Positive daciif ah
0.0930
Negative daciif ah
-0.1129
Negative daciif ah
-0.0082
Negative daciif ah
-0.0441
Positive daciif ah
0.0172
Answer 2-
Positive daciif ah
0.0176
Negative daciif ah
-0.0064
Positive daciif ah
0.0439
Negative daciif ah
-0.0235
Positive daciif ah
0.0411
Negative daciif ah
-0.0037
Negative daciif ah
-0.0536
Answer 3-
Negative daciif ah
-0.0237
Negative daciif ah
-0.0293
Positive daciif ah
0.0041
Positive daciif ah
0.0580
Negative daciif ah
-0.0254
Negative daciif ah
-0.0131
Positive daciif ah
0.0056
Answer 4-
Positive daciif ah
0.0353
Negative daciif ah
-0.0020
Positive daciif ah
0.0147
Negative daciif ah
-0.0434
Negative daciif ah
-0.0329
Negative daciif ah
-0.0045
Positive daciif ah
0.0461
Answer 5-
Negative daciif ah
-0.0159
Negative daciif ah
-0.0257
Negative daciif ah
-0.0233
Positive daciif ah
0.0425
Positive daciif ah
0.0329
Positive daciif ah
0.0241
Negative daciif ah
-0.0546
Answer 6-
Negative daciif ah
-0.0137
Negative daciif ah
-0.0525
Negative daciif ah
-0.0709
Positive daciif ah
0.0701
Negative daciif ah
-0.0147
Positive daciif ah
0.0443
Positive daciif ah
0.0137
Answer 7-
Negative daciif ah
-0.0651
Positive daciif ah
0.0972
Negative daciif ah
-0.0603
Negative daciif ah
-0.0026
Positive daciif ah
0.0092
Negative daciif ah
-0.0026
Positive daciif ah
0.0252
2) Xakamee (Imisaad ku raacsan tahay ama aadan ku raacsaneyn?)
Answer 8-
Positive daciif ah
0.0139
Positive daciif ah
0.0048
Positive daciif ah
0.0805
Positive daciif ah
0.0622
Negative daciif ah
-0.0317
Negative daciif ah
-0.0783
Negative daciif ah
-0.0456
Answer 9-
Positive daciif ah
0.0230
Negative daciif ah
-0.0258
Negative daciif ah
-0.0352
Positive daciif ah
0.0274
Positive daciif ah
0.0832
Negative daciif ah
-0.0126
Negative daciif ah
-0.0582
Answer 10-
Positive daciif ah
0.0143
Negative daciif ah
-0.0423
Negative daciif ah
-0.0553
Negative daciif ah
-0.0195
Positive daciif ah
0.0021
Positive daciif ah
0.0614
Positive daciif ah
0.0320
Answer 11-
Positive daciif ah
0.0256
Positive daciif ah
0.0035
Positive daciif ah
0.0149
Negative daciif ah
-0.0597
Negative daciif ah
-0.0187
Negative daciif ah
-0.0176
Positive daciif ah
0.0573
Answer 12-
Negative daciif ah
-0.0173
Positive daciif ah
0.0347
Positive daciif ah
0.0531
Positive daciif ah
0.0412
Negative daciif ah
-0.0701
Positive daciif ah
0.0068
Negative daciif ah
-0.0464
Answer 13-
Negative daciif ah
-0.0930
Negative daciif ah
-0.0342
Negative daciif ah
-0.0141
Positive daciif ah
0.0112
Positive daciif ah
0.0211
Positive daciif ah
0.0739
Positive daciif ah
0.0020
Answer 14-
Positive daciif ah
0.0002
Positive daciif ah
0.0882
Negative daciif ah
-0.0341
Negative daciif ah
-0.0785
Negative daciif ah
-0.0241
Negative daciif ah
-0.0070
Positive daciif ah
0.0777


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
Mulkiilaha Alaabta SaaS SDTEST®

Valerii waxa uu 1993-kii u qalmay barasho-cilmi-nafsi-bulsheed, tan iyo markaas waxa uu aqoontiisa ku adeegsaday maaraynta mashruuca.
Valerii wuxuu helay shahaadada Masterka iyo shahaadada mashruuca iyo barnaamijka maamulaha barnaamijka 2013. Intii uu ku jiray barnaamijka Master-ka, wuxuu bartay Mashruuca Roadmap-ka (GPM Deutsche Gesellschaft für Projektmanagement e. V.) iyo Spiral Dynamics.
Valerii waa qoraaga sahminta hubanti la'aanta V.U.C.A. fikradda iyadoo la adeegsanayo Spiral Dynamics iyo xisaabaadka xisaabeed ee cilmi-nafsiga, iyo 38 codbixin caalami ah.
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