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.


Adimen artifiziala eta zibilizazioaren amaiera

Herria
Hizkuntza
-
Mail
Bailkulatu
Korrelazio koefizientea balioa kritikoa
Banaketa normala, William Seally Gosset-en (Ikaslea) r = 0.0874
Banaketa normala, William Seally Gosset-en (Ikaslea) r = 0.0874
Banaketa normala ez da, Spearman-ek eginda r = 0.0039
BanaketaNormala
ez
OhikoOhikoOhikoOhikoOhikoOhikoOhiko
Galdera guztiak
Galdera guztiak
1) Segurtasuna (zenbat ados edo ados zaude?)
2) Kontrola (zenbat ados edo ados zaude?)
1) Segurtasuna (zenbat ados edo ados zaude?)
Answer 1-
Positibo ahula
0.0647
Negatiboa ahula
-0.0402
Positibo ahula
0.1238
Negatiboa ahula
-0.1305
Positibo ahula
0.0097
Negatiboa ahula
-0.0535
Positibo ahula
0.0344
Answer 2-
Positibo ahula
0.0497
Positibo ahula
0.0373
Positibo ahula
0.0295
Negatiboa ahula
-0.0054
Negatiboa ahula
-0.0046
Negatiboa ahula
-0.0176
Negatiboa ahula
-0.0596
Answer 3-
Negatiboa ahula
-0.0307
Negatiboa ahula
-0.0330
Positibo ahula
0.0063
Positibo ahula
0.0822
Negatiboa ahula
-0.0127
Negatiboa ahula
-0.0159
Negatiboa ahula
-0.0149
Answer 4-
Negatiboa ahula
-0.0069
Positibo ahula
0.0432
Positibo ahula
0.0293
Negatiboa ahula
-0.0238
Negatiboa ahula
-0.0470
Negatiboa ahula
-0.0193
Positibo ahula
0.0315
Answer 5-
Positibo ahula
0.0069
Negatiboa ahula
-0.0237
Negatiboa ahula
-0.0152
Positibo ahula
0.0131
Negatiboa ahula
-0.0018
Positibo ahula
0.0608
Negatiboa ahula
-0.0308
Answer 2-
Negatiboa ahula
-0.0388
Negatiboa ahula
-0.0576
Negatiboa ahula
-0.1067
Positibo ahula
0.0816
Positibo ahula
0.0191
Positibo ahula
0.0491
Positibo ahula
0.0162
Answer 6-
Negatiboa ahula
-0.0360
Positibo ahula
0.0619
Negatiboa ahula
-0.0510
Negatiboa ahula
-0.0486
Positibo ahula
0.0403
Positibo ahula
0.0061
Positibo ahula
0.0322
2) Kontrola (zenbat ados edo ados zaude?)
Answer 7-
Positibo ahula
0.0254
Positibo ahula
0.0424
Positibo ahula
0.1084
Positibo ahula
0.0601
Negatiboa ahula
-0.0356
Negatiboa ahula
-0.1149
Negatiboa ahula
-0.0695
Answer 8-
Positibo ahula
0.0118
Negatiboa ahula
-0.0446
Negatiboa ahula
-0.0559
Positibo ahula
0.0325
Positibo ahula
0.0961
Negatiboa ahula
-0.0228
Negatiboa ahula
-0.0252
Answer 9-
Positibo ahula
0.0535
Negatiboa ahula
-0.0376
Negatiboa ahula
-0.0089
Negatiboa ahula
-0.0281
Negatiboa ahula
-0.0308
Positibo ahula
0.0262
Positibo ahula
0.0309
Answer 10-
Positibo ahula
0.0157
Positibo ahula
0.0103
Negatiboa ahula
-0.0089
Negatiboa ahula
-0.0482
Positibo ahula
0.0039
Positibo ahula
0.0010
Positibo ahula
0.0318
Answer 11-
Negatiboa ahula
-0.0377
Positibo ahula
0.0444
Positibo ahula
0.0304
Positibo ahula
0.0435
Negatiboa ahula
-0.0755
Positibo ahula
0.0475
Negatiboa ahula
-0.0432
Answer 8-
Negatiboa ahula
-0.1232
Negatiboa ahula
-0.0353
Negatiboa ahula
-0.0230
Positibo ahula
0.0330
Negatiboa ahula
-0.0105
Positibo ahula
0.0883
Positibo ahula
0.0191
Answer 12-
Positibo ahula
0.0124
Positibo ahula
0.0425
Negatiboa ahula
-0.0572
Negatiboa ahula
-0.1125
Positibo ahula
0.0256
Positibo ahula
0.0326
Positibo ahula
0.0763


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


2023.11.27
Valerii Kosenko
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