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.


Ubwenge bwubuhanga no kurangiza umuco

Country
ururimi
-
Mail
Kurambura
Bitoroshe agaciro isano coefficient
Isaranganya risanzwe, na William Swal Sset (Umunyeshuri) r = 0.0874
Isaranganya risanzwe, na William Swal Sset (Umunyeshuri) r = 0.0874
Kugabura bisanzwe, by umucumu r = 0.0039
IkwirakwizwaNANCECBisanzweBisanzweBisanzweBisanzweBisanzweBisanzweBisanzwe
Ibibazo byose
Ibibazo byose
1) Umutekano (ni bangahe wemera cyangwa utemeranya?)
2) Kugenzura (ni bangahe wemera cyangwa utemeranya?)
1) Umutekano (ni bangahe wemera cyangwa utemeranya?)
Answer 1-
Nke nziza
0.0647
Nke mbi
-0.0402
Nke nziza
0.1238
Nke mbi
-0.1305
Nke nziza
0.0097
Nke mbi
-0.0535
Nke nziza
0.0344
Answer 2-
Nke nziza
0.0497
Nke nziza
0.0373
Nke nziza
0.0295
Nke mbi
-0.0054
Nke mbi
-0.0046
Nke mbi
-0.0176
Nke mbi
-0.0596
Answer 3-
Nke mbi
-0.0307
Nke mbi
-0.0330
Nke nziza
0.0063
Nke nziza
0.0822
Nke mbi
-0.0127
Nke mbi
-0.0159
Nke mbi
-0.0149
Answer 4-
Nke mbi
-0.0069
Nke nziza
0.0432
Nke nziza
0.0293
Nke mbi
-0.0238
Nke mbi
-0.0470
Nke mbi
-0.0193
Nke nziza
0.0315
Answer 5-
Nke nziza
0.0069
Nke mbi
-0.0237
Nke mbi
-0.0152
Nke nziza
0.0131
Nke mbi
-0.0018
Nke nziza
0.0608
Nke mbi
-0.0308
Answer 6-
Nke mbi
-0.0388
Nke mbi
-0.0576
Nke mbi
-0.1067
Nke nziza
0.0816
Nke nziza
0.0191
Nke nziza
0.0491
Nke nziza
0.0162
Answer 7-
Nke mbi
-0.0360
Nke nziza
0.0619
Nke mbi
-0.0510
Nke mbi
-0.0486
Nke nziza
0.0403
Nke nziza
0.0061
Nke nziza
0.0322
2) Kugenzura (ni bangahe wemera cyangwa utemeranya?)
Answer 8-
Nke nziza
0.0254
Nke nziza
0.0424
Nke nziza
0.1084
Nke nziza
0.0601
Nke mbi
-0.0356
Nke mbi
-0.1149
Nke mbi
-0.0695
Answer 9-
Nke nziza
0.0118
Nke mbi
-0.0446
Nke mbi
-0.0559
Nke nziza
0.0325
Nke nziza
0.0961
Nke mbi
-0.0228
Nke mbi
-0.0252
Answer 10-
Nke nziza
0.0535
Nke mbi
-0.0376
Nke mbi
-0.0089
Nke mbi
-0.0281
Nke mbi
-0.0308
Nke nziza
0.0262
Nke nziza
0.0309
Answer 11-
Nke nziza
0.0157
Nke nziza
0.0103
Nke mbi
-0.0089
Nke mbi
-0.0482
Nke nziza
0.0039
Nke nziza
0.0010
Nke nziza
0.0318
Answer 12-
Nke mbi
-0.0377
Nke nziza
0.0444
Nke nziza
0.0304
Nke nziza
0.0435
Nke mbi
-0.0755
Nke nziza
0.0475
Nke mbi
-0.0432
Answer 13-
Nke mbi
-0.1232
Nke mbi
-0.0353
Nke mbi
-0.0230
Nke nziza
0.0330
Nke mbi
-0.0105
Nke nziza
0.0883
Nke nziza
0.0191
Answer 14-
Nke nziza
0.0124
Nke nziza
0.0425
Nke mbi
-0.0572
Nke mbi
-0.1125
Nke nziza
0.0256
Nke nziza
0.0326
Nke nziza
0.0763


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


2023.11.27
Valeri Kosenko
Nyirubwite nyirubwite umushinga sdtest®

Valerii yujuje ibisabwa nka Pedagoge ya Pedagoge-psychologue mu 1993 kandi kuva yakoresheje ubumenyi mu micungire y'umushinga.
Valerii yabonye impamyabumenyi y'ikirenga n'umushinga n'umuyobozi wa gahunda umuyobozi wa 2013. Mu Mushinga wa Shebuja, GPM Deutsche Gür ProjekTagement E. V.) N'imbaraga zigendanwa.
Valerii yakuye ibizamini bitandukanye bya kashe kandi akoresha ubumenyi n'uburambe kugira ngo amenyereho verisiyo y'ubu.
Valerii niwe mwanditsi ushakisha gushidikanya V.U.C. Igitekerezo ukoresheje imbaraga zidasanzwe hamwe n'imibare yimibare muri psychologiya, amatora arenga 20 mpuzamahanga.
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