akwụkwọ dabeere ule «Spiral Dynamics:
Mastering Values, Leadership, and
Change» (ISBN-13: 978-1405133562)
Kwasiri

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.


Ọgụgụ isi na njedebe nke mmepe

chaatị dị iche icheMmekọrịta
?
Nke a bụ mmekọrịta dị n'etiti azịza nke ntuli aka na usoro ule siri ike
VUCA
?
Nke a bụ ihe ngosi ọhụụ na tebụl site na ọkwa nke ike ịgbaso ike na-enweghị isi iyi na-enweghị atụ, ihe mgbagwoju anya, ihe mgbagwoju anya na ndị na-ekwu okwu dị iche iche nke ntuli aka na gburugburu ịgba egwu
Country
Language
-
Mail
Realicate
Critical uru nke mmekọrịta ọnụọgụ
Ngalaba nkịtị, site na William Stel r = 0.0718
Ngalaba nkịtị, site na William Stel r = 0.0718
Ntinye na-abụghị ọrụ, site na Spearman r = 0.0029
NkesaNa-abụghị
nkịtị
Nke kwesiriNa-abụghị
nkịtị
Nke kwesiriNke kwesiriNke kwesiriNke kwesiriNke kwesiri
Ajụjụ niile
Ajụjụ niile
1) Nchedo (ole ka ị kwenyere ma ọ bụ kwenye?)
2) Njikwa (ole ka ị kwenyere ma ọ bụ kwenye?)
1) Nchedo (ole ka ị kwenyere ma ọ bụ kwenye?)
Answer 1-
Na-adịghị ike mma
0.0708
Na-adịghị ike mma
0.0197
Na-adịghị ike mma
0.0942
Na-adịghị ike na-adịghị mma
-0.1158
Na-adịghị ike mma
0.0007
Na-adịghị ike na-adịghị mma
-0.0461
Na-adịghị ike mma
0.0163
Answer 2-
Na-adịghị ike mma
0.0170
Na-adịghị ike na-adịghị mma
-0.0075
Na-adịghị ike mma
0.0441
Na-adịghị ike na-adịghị mma
-0.0223
Na-adịghị ike mma
0.0348
Na-adịghị ike mma
0.0017
Na-adịghị ike na-adịghị mma
-0.0533
Answer 3-
Na-adịghị ike na-adịghị mma
-0.0306
Na-adịghị ike na-adịghị mma
-0.0288
Na-adịghị ike mma
0.0092
Na-adịghị ike mma
0.0596
Na-adịghị ike na-adịghị mma
-0.0264
Na-adịghị ike na-adịghị mma
-0.0113
Na-adịghị ike mma
0.0030
Answer 4-
Na-adịghị ike mma
0.0348
Na-adịghị ike na-adịghị mma
-0.0106
Na-adịghị ike mma
0.0164
Na-adịghị ike na-adịghị mma
-0.0570
Na-adịghị ike na-adịghị mma
-0.0332
Na-adịghị ike mma
0.0046
Na-adịghị ike mma
0.0562
Answer 5-
Na-adịghị ike na-adịghị mma
-0.0137
Na-adịghị ike na-adịghị mma
-0.0241
Na-adịghị ike na-adịghị mma
-0.0239
Na-adịghị ike mma
0.0438
Na-adịghị ike mma
0.0320
Na-adịghị ike mma
0.0227
Na-adịghị ike na-adịghị mma
-0.0554
Answer 6-
Na-adịghị ike na-adịghị mma
-0.0138
Na-adịghị ike na-adịghị mma
-0.0526
Na-adịghị ike na-adịghị mma
-0.0740
Na-adịghị ike mma
0.0650
Na-adịghị ike na-adịghị mma
-0.0071
Na-adịghị ike mma
0.0438
Na-adịghị ike mma
0.0148
Answer 7-
Na-adịghị ike na-adịghị mma
-0.0554
Na-adịghị ike mma
0.1068
Na-adịghị ike na-adịghị mma
-0.0652
Na-adịghị ike mma
0.0149
Na-adịghị ike mma
0.0042
Na-adịghị ike na-adịghị mma
-0.0171
Na-adịghị ike mma
0.0168
2) Njikwa (ole ka ị kwenyere ma ọ bụ kwenye?)
Answer 8-
Na-adịghị ike mma
0.0123
Na-adịghị ike mma
0.0023
Na-adịghị ike mma
0.0772
Na-adịghị ike mma
0.0566
Na-adịghị ike na-adịghị mma
-0.0241
Na-adịghị ike na-adịghị mma
-0.0754
Na-adịghị ike na-adịghị mma
-0.0436
Answer 9-
Na-adịghị ike mma
0.0168
Na-adịghị ike na-adịghị mma
-0.0315
Na-adịghị ike na-adịghị mma
-0.0355
Na-adịghị ike mma
0.0207
Na-adịghị ike mma
0.0870
Na-adịghị ike na-adịghị mma
-0.0030
Na-adịghị ike na-adịghị mma
-0.0551
Answer 10-
Na-adịghị ike mma
0.0171
Na-adịghị ike na-adịghị mma
-0.0270
Na-adịghị ike na-adịghị mma
-0.0694
Na-adịghị ike na-adịghị mma
-0.0079
Na-adịghị ike na-adịghị mma
-0.0035
Na-adịghị ike mma
0.0573
Na-adịghị ike mma
0.0309
Answer 11-
Na-adịghị ike mma
0.0181
Na-adịghị ike mma
0.0007
Na-adịghị ike mma
0.0309
Na-adịghị ike na-adịghị mma
-0.0588
Na-adịghị ike na-adịghị mma
-0.0310
Na-adịghị ike na-adịghị mma
-0.0125
Na-adịghị ike mma
0.0558
Answer 12-
Na-adịghị ike na-adịghị mma
-0.0034
Na-adịghị ike mma
0.0263
Na-adịghị ike mma
0.0655
Na-adịghị ike mma
0.0322
Na-adịghị ike na-adịghị mma
-0.0684
Na-adịghị ike na-adịghị mma
-0.0152
Na-adịghị ike na-adịghị mma
-0.0352
Answer 13-
Na-adịghị ike na-adịghị mma
-0.0909
Na-adịghị ike na-adịghị mma
-0.0336
Na-adịghị ike na-adịghị mma
-0.0184
Na-adịghị ike mma
0.0087
Na-adịghị ike mma
0.0272
Na-adịghị ike mma
0.0750
Na-adịghị ike na-adịghị mma
-0.0014
Answer 14-
Na-adịghị ike mma
0.0041
Na-adịghị ike mma
0.0892
Na-adịghị ike na-adịghị mma
-0.0341
Na-adịghị ike na-adịghị mma
-0.0676
Na-adịghị ike na-adịghị mma
-0.0262
Na-adịghị ike na-adịghị mma
-0.0098
Na-adịghị ike mma
0.0683


Export ka MS Excel
Ọrụ a ga-adị na ntụli aka nke VUCA nke gị
Ọ dị mma



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


2023.11.27
FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma
Valerii Kosenko
Onye nwe ngwaahịa SaaS SDTEST®

Valerii tozuru oke dị ka onye nkuzi mmekọrịta mmadụ na mmụọ na 1993 wee tinye ihe ọmụma ya n'ọrụ na njikwa ọrụ.
Valerii nwetara nzere Master na oru ngo na mmemme njikwa mmemme na 2013. N'oge mmemme Nna-ukwu ya, ọ maara Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) na Spiral Dynamics.
Valerii bụ onye dere nyocha nke ejighị n'aka nke V.U.C.A. echiche iji Spiral Dynamics na mgbakọ na mwepụ mgbakọ na mwepụ na akparamaagwa, na 38 mba ntuli aka.
Post a nwere 0 Okwu
Zaghachi
Kagbuo nzaghachi
Hapụ ikwu okwu gị
×
Ị na-ahụ ihe njehie
Abigel unu ziri ezi VERSION
Tinye e-mail dị ka chọrọ
Send
kagbuo
Redirect to your region's domain sdtest.us ?
YES
NO
Bot
sdtest
1
Ndewo ebe ahụ! Ka m jụọ gị, ị maaralarị mgbanwe ọjọọ siri ike?