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and Change» (ISBN-13: 978-1405133562)
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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.


Deallusrwydd artiffisial a diwedd gwareiddiad

Gwlad
Iaith
-
Mail
Ailgyfrifo
Gwerth feirniadol o'r cyfernod cydberthyniad
Dosbarthiad Arferol, gan William Sealy Gosset (Myfyriwr) r = 0.0727
Dosbarthiad Arferol, gan William Sealy Gosset (Myfyriwr) r = 0.0727
Dosbarthiad nad yw'n arferol, gan Spearman r = 0.003
NosbarthiadauNad
yw'n normal
NormalNad
yw'n normal
NormalNormalNormalNormalNormal
Pob cwestiwn
Pob cwestiwn
1) Diogelwch (faint ydych chi'n cytuno neu'n anghytuno?)
2) Rheoli (faint ydych chi'n cytuno neu'n anghytuno?)
1) Diogelwch (faint ydych chi'n cytuno neu'n anghytuno?)
Answer 1-
Gadarnhaol gwan
0.0734
Gadarnhaol gwan
0.0222
Gadarnhaol gwan
0.0930
Negyddol gwan
-0.1129
Negyddol gwan
-0.0082
Negyddol gwan
-0.0441
Gadarnhaol gwan
0.0172
Answer 2-
Gadarnhaol gwan
0.0176
Negyddol gwan
-0.0064
Gadarnhaol gwan
0.0439
Negyddol gwan
-0.0235
Gadarnhaol gwan
0.0411
Negyddol gwan
-0.0037
Negyddol gwan
-0.0536
Answer 3-
Negyddol gwan
-0.0237
Negyddol gwan
-0.0293
Gadarnhaol gwan
0.0041
Gadarnhaol gwan
0.0580
Negyddol gwan
-0.0254
Negyddol gwan
-0.0131
Gadarnhaol gwan
0.0056
Answer 4-
Gadarnhaol gwan
0.0353
Negyddol gwan
-0.0020
Gadarnhaol gwan
0.0147
Negyddol gwan
-0.0434
Negyddol gwan
-0.0329
Negyddol gwan
-0.0045
Gadarnhaol gwan
0.0461
Answer 5-
Negyddol gwan
-0.0159
Negyddol gwan
-0.0257
Negyddol gwan
-0.0233
Gadarnhaol gwan
0.0425
Gadarnhaol gwan
0.0329
Gadarnhaol gwan
0.0241
Negyddol gwan
-0.0546
Answer 6-
Negyddol gwan
-0.0137
Negyddol gwan
-0.0525
Negyddol gwan
-0.0709
Gadarnhaol gwan
0.0701
Negyddol gwan
-0.0147
Gadarnhaol gwan
0.0443
Gadarnhaol gwan
0.0137
Answer 7-
Negyddol gwan
-0.0651
Gadarnhaol gwan
0.0972
Negyddol gwan
-0.0603
Negyddol gwan
-0.0026
Gadarnhaol gwan
0.0092
Negyddol gwan
-0.0026
Gadarnhaol gwan
0.0252
2) Rheoli (faint ydych chi'n cytuno neu'n anghytuno?)
Answer 8-
Gadarnhaol gwan
0.0139
Gadarnhaol gwan
0.0048
Gadarnhaol gwan
0.0805
Gadarnhaol gwan
0.0622
Negyddol gwan
-0.0317
Negyddol gwan
-0.0783
Negyddol gwan
-0.0456
Answer 9-
Gadarnhaol gwan
0.0230
Negyddol gwan
-0.0258
Negyddol gwan
-0.0352
Gadarnhaol gwan
0.0274
Gadarnhaol gwan
0.0832
Negyddol gwan
-0.0126
Negyddol gwan
-0.0582
Answer 10-
Gadarnhaol gwan
0.0143
Negyddol gwan
-0.0423
Negyddol gwan
-0.0553
Negyddol gwan
-0.0195
Gadarnhaol gwan
0.0021
Gadarnhaol gwan
0.0614
Gadarnhaol gwan
0.0320
Answer 11-
Gadarnhaol gwan
0.0256
Gadarnhaol gwan
0.0035
Gadarnhaol gwan
0.0149
Negyddol gwan
-0.0597
Negyddol gwan
-0.0187
Negyddol gwan
-0.0176
Gadarnhaol gwan
0.0573
Answer 12-
Negyddol gwan
-0.0173
Gadarnhaol gwan
0.0347
Gadarnhaol gwan
0.0531
Gadarnhaol gwan
0.0412
Negyddol gwan
-0.0701
Gadarnhaol gwan
0.0068
Negyddol gwan
-0.0464
Answer 13-
Negyddol gwan
-0.0930
Negyddol gwan
-0.0342
Negyddol gwan
-0.0141
Gadarnhaol gwan
0.0112
Gadarnhaol gwan
0.0211
Gadarnhaol gwan
0.0739
Gadarnhaol gwan
0.0020
Answer 14-
Gadarnhaol gwan
0.0002
Gadarnhaol gwan
0.0882
Negyddol gwan
-0.0341
Negyddol gwan
-0.0785
Negyddol gwan
-0.0241
Negyddol gwan
-0.0070
Gadarnhaol gwan
0.0777


Allforio i MS Excel
Bydd y swyddogaeth hon ar gael yn eich polau VUCA eich hun
Iawn



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


2023.11.27
Valerii Kosenko
Perchennog Cynnyrch SaaS SDTEST®

Cymhwyswyd Valerii fel pedagog-seicolegydd cymdeithasol yn 1993 ac ers hynny mae wedi cymhwyso ei wybodaeth mewn rheoli prosiectau.
Enillodd Valerii radd Meistr a chymhwyster rheolwr prosiect a rhaglen yn 2013. Yn ystod ei raglen Meistr, daeth yn gyfarwydd â Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) a Spiral Dynamics.
Mae Valerii yn awdur ar archwilio ansicrwydd y V.U.C.A. cysyniad defnyddio Spiral Dynamics ac ystadegau mathemategol mewn seicoleg, a 38 polau rhyngwladol.
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