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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.

Ujuzi wa bandia na mwisho wa maendeleo

chati Uwiano

VUCA

Muhimu thamani ya mgawo uwiano

Usambazaji wa kawaida, na William Sealy Gosset (Mwanafunzi) r = 0.0761

Usambazaji usio wa kawaida, na Spearman r = 0.0031

Onyesha matokeo tu > r = 0.0761

Usambazaji	Sio kawaida	Kawaida	Sio kawaida	Kawaida	Kawaida	Kawaida	Kawaida	Kawaida
Maswali yote Maswali yote 1) Usalama (unakubali au haukubaliani?) 2) Udhibiti (unakubali au haukubaliani?)
1) Usalama (unakubali au haukubaliani?)
Answer 1	-	Chanya dhaifu 0.0714	Hasi dhaifu -0.0023	Chanya dhaifu 0.1104	Hasi dhaifu -0.1000	Hasi dhaifu -0.0078	Hasi dhaifu -0.0586	Chanya dhaifu 0.0107
Answer 2	-	Chanya dhaifu 0.0258	Hasi dhaifu -0.0001	Chanya dhaifu 0.0372	Hasi dhaifu -0.0281	Chanya dhaifu 0.0464	Hasi dhaifu -0.0040	Hasi dhaifu -0.0625
Answer 3	-	Hasi dhaifu -0.0138	Hasi dhaifu -0.0473	Hasi dhaifu -0.0066	Chanya dhaifu 0.0446	Hasi dhaifu -0.0082	Hasi dhaifu -0.0051	Chanya dhaifu 0.0179
Answer 4	-	Chanya dhaifu 0.0174	Chanya dhaifu 0.0063	Chanya dhaifu 0.0185	Hasi dhaifu -0.0396	Hasi dhaifu -0.0314	Hasi dhaifu -0.0146	Chanya dhaifu 0.0477
Answer 5	-	Chanya dhaifu 0.0048	Hasi dhaifu -0.0105	Hasi dhaifu -0.0187	Chanya dhaifu 0.0497	Hasi dhaifu -0.0002	Chanya dhaifu 0.0358	Hasi dhaifu -0.0522
Answer 6	-	Hasi dhaifu -0.0372	Hasi dhaifu -0.0554	Hasi dhaifu -0.0796	Chanya dhaifu 0.0789	Hasi dhaifu -0.0094	Chanya dhaifu 0.0563	Chanya dhaifu 0.0144
Answer 7	-	Hasi dhaifu -0.0585	Chanya dhaifu 0.1110	Hasi dhaifu -0.0537	Hasi dhaifu -0.0090	Chanya dhaifu 0.0021	Hasi dhaifu -0.0089	Chanya dhaifu 0.0217
2) Udhibiti (unakubali au haukubaliani?)
Answer 8	-	Chanya dhaifu 0.0304	Chanya dhaifu 0.0196	Chanya dhaifu 0.0652	Chanya dhaifu 0.0547	Hasi dhaifu -0.0247	Hasi dhaifu -0.0731	Hasi dhaifu -0.0557
Answer 9	-	Chanya dhaifu 0.0084	Hasi dhaifu -0.0265	Hasi dhaifu -0.0412	Chanya dhaifu 0.0308	Chanya dhaifu 0.0861	Hasi dhaifu -0.0167	Hasi dhaifu -0.0456
Answer 10	-	Chanya dhaifu 0.0185	Hasi dhaifu -0.0312	Hasi dhaifu -0.0396	Hasi dhaifu -0.0035	Hasi dhaifu -0.0125	Chanya dhaifu 0.0487	Chanya dhaifu 0.0165
Answer 11	-	Chanya dhaifu 0.0288	Chanya dhaifu 0.0077	Chanya dhaifu 0.0098	Hasi dhaifu -0.0583	Hasi dhaifu -0.0077	Hasi dhaifu -0.0158	Chanya dhaifu 0.0439
Answer 12	-	Hasi dhaifu -0.0127	Chanya dhaifu 0.0329	Chanya dhaifu 0.0611	Chanya dhaifu 0.0343	Hasi dhaifu -0.0691	Chanya dhaifu 0.0059	Hasi dhaifu -0.0384
Answer 13	-	Hasi dhaifu -0.1117	Hasi dhaifu -0.0453	Hasi dhaifu -0.0095	Chanya dhaifu 0.0022	Chanya dhaifu 0.0114	Chanya dhaifu 0.0787	Chanya dhaifu 0.0266
Answer 14	-	Chanya dhaifu 0.0049	Chanya dhaifu 0.0615	Hasi dhaifu -0.0311	Hasi dhaifu -0.0813	Hasi dhaifu -0.0211	Chanya dhaifu 0.0014	Chanya dhaifu 0.0787

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

2023.11.27

Valerii Kosenko

Mmiliki wa bidhaa SaaS PET SDTEST ®

Valerii alihitimu kama mtaalam wa kisaikolojia wa kijamii mnamo 1993 na tangu sasa ametumia maarifa yake katika usimamizi wa mradi.
Valerii alipata digrii ya bwana na sifa ya meneja na sifa ya meneja wa programu mnamo 2013. Wakati wa mpango wa bwana wake, alifahamiana na Mradi wa barabara (GPM Deutsche Gesellschaft für Projektmanagement e. V.) na mienendo ya ond.
Valerii alichukua vipimo kadhaa vya mienendo ya ond na alitumia maarifa na uzoefu wake kurekebisha toleo la sasa la SDTest.
Valerii ndiye mwandishi wa kuchunguza kutokuwa na uhakika wa V.U.C.A. Dhana ya kutumia mienendo ya ond na takwimu za hisabati katika saikolojia, zaidi ya kura 20 za kimataifa.

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