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


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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