buch baséiert Test «Spiral Dynamics:
Mastering Values, Leadership, and
Change» (ISBN-13: 978-1405133562)
Fräisstolden

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.


Kënschtlech Intelligenz an d'Enn vun der Zivilisatioun

Land
Sprooch
-
Mail
Recalkuléieren
Kritescher Wäert vun der Korrelatioun souguer gemaach
Normal Verdeelung, vum William Sighty Goesset (Student) r = 0.0763
Normal Verdeelung, vum William Sighty Goesset (Student) r = 0.0763
Net normal Verdeelung, vum Spärman r = 0.0031
VerdeelungNet
normal
NormelleNet
normal
NormelleNormelleNormelleNormelleNormelle
All Froen
All Froen
1) Sécherheet (wéi vill sidd Dir averstan oder net averstan?)
2) Kontroll (wéi vill sidd Dir averstan oder net averstan?)
1) Sécherheet (wéi vill sidd Dir averstan oder net averstan?)
Answer 1-
Schwaach positiv
0.0713
Schwaach negativ
-0.0025
Schwaach positiv
0.1106
Schwaach negativ
-0.0997
Schwaach negativ
-0.0087
Schwaach negativ
-0.0586
Schwaach positiv
0.0113
Answer 2-
Schwaach positiv
0.0287
Schwaach positiv
0.0022
Schwaach positiv
0.0402
Schwaach negativ
-0.0306
Schwaach positiv
0.0441
Schwaach negativ
-0.0024
Schwaach negativ
-0.0654
Answer 2-
Schwaach negativ
-0.0141
Schwaach negativ
-0.0475
Schwaach negativ
-0.0065
Schwaach positiv
0.0452
Schwaach negativ
-0.0095
Schwaach negativ
-0.0050
Schwaach positiv
0.0188
Answer 3-
Schwaach positiv
0.0171
Schwaach positiv
0.0062
Schwaach positiv
0.0186
Schwaach negativ
-0.0391
Schwaach negativ
-0.0327
Schwaach negativ
-0.0145
Schwaach positiv
0.0485
Answer 4-
Schwaach positiv
0.0046
Schwaach negativ
-0.0106
Schwaach negativ
-0.0187
Schwaach positiv
0.0501
Schwaach negativ
-0.0010
Schwaach positiv
0.0358
Schwaach negativ
-0.0517
Answer 5-
Schwaach negativ
-0.0396
Schwaach negativ
-0.0579
Schwaach negativ
-0.0839
Schwaach positiv
0.0797
Schwaach negativ
-0.0012
Schwaach positiv
0.0544
Schwaach positiv
0.0142
Answer 6-
Schwaach negativ
-0.0588
Schwaach positiv
0.1109
Schwaach negativ
-0.0537
Schwaach negativ
-0.0085
Schwaach positiv
0.0010
Schwaach negativ
-0.0088
Schwaach positiv
0.0224
2) Kontroll (wéi vill sidd Dir averstan oder net averstan?)
Answer 7-
Schwaach positiv
0.0286
Schwaach positiv
0.0178
Schwaach positiv
0.0623
Schwaach positiv
0.0555
Schwaach negativ
-0.0186
Schwaach negativ
-0.0752
Schwaach negativ
-0.0557
Answer 8-
Schwaach positiv
0.0081
Schwaach negativ
-0.0268
Schwaach negativ
-0.0412
Schwaach positiv
0.0315
Schwaach positiv
0.0850
Schwaach negativ
-0.0166
Schwaach negativ
-0.0447
Answer 8-
Schwaach positiv
0.0182
Schwaach negativ
-0.0315
Schwaach negativ
-0.0396
Schwaach negativ
-0.0029
Schwaach negativ
-0.0138
Schwaach positiv
0.0488
Schwaach positiv
0.0174
Answer 9-
Schwaach positiv
0.0325
Schwaach positiv
0.0109
Schwaach positiv
0.0134
Schwaach negativ
-0.0619
Schwaach negativ
-0.0103
Schwaach negativ
-0.0140
Schwaach positiv
0.0404
Answer 10-
Schwaach negativ
-0.0129
Schwaach positiv
0.0328
Schwaach positiv
0.0613
Schwaach positiv
0.0346
Schwaach negativ
-0.0700
Schwaach positiv
0.0059
Schwaach negativ
-0.0380
Answer 11-
Schwaach negativ
-0.1120
Schwaach negativ
-0.0454
Schwaach negativ
-0.0095
Schwaach positiv
0.0026
Schwaach positiv
0.0106
Schwaach positiv
0.0788
Schwaach positiv
0.0272
Answer 12-
Schwaach positiv
0.0047
Schwaach positiv
0.0614
Schwaach negativ
-0.0311
Schwaach negativ
-0.0810
Schwaach negativ
-0.0221
Schwaach positiv
0.0015
Schwaach positiv
0.0793


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


2023.11.27
Valerii Kosenko
Produktbesëtzer Saas Pet Projekt SDTET®

D'Valerecht als eSIL Picogolog ass am Joer 1993 quissesch gemaach an huet mam Konsartagementsacissioun.
Den Valerii huet e Master gemaach an de Studien a Programm Manager Katitioun am 2013. Am Joer 2010. Wärend dem Minale säi Programm, gouf hien och PPM-Kontaphtsigainside (GPM, Gürtotto) a Sphmightside EadickTAp EightellaTMAp. Ve Cürfilung kritt d'Valeri
D'Valerii huet verschidde Wiral Dynamik Tester gemaach an huet säi Wëssen an d'Erfarung déi aktuell Versioun vu SDTEST unzepassen.
Valerii ass den Auteur fir d'Onsécherheet vun der V.u.c.a ze exploréieren. Konzept mat Spiral Dynamik a mathematesch Statistiken an der Psychologie, méi wéi 20 international Polls.
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