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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 = 0.0727

Usambazaji usio wa kawaida, na Spearman r = 0.003

Onyesha matokeo tu > r = 0.0727

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 0.0666	Chanya dhaifu 0.0209	Chanya dhaifu 0.0941	Hasi dhaifu -0.1169	Hasi dhaifu -0.0089	Hasi dhaifu -0.0469	Chanya dhaifu 0.0197
Answer 2	-	Chanya dhaifu 0.0169	Hasi dhaifu -0.0027	Chanya dhaifu 0.0434	Hasi dhaifu -0.0239	Chanya dhaifu 0.0400	Hasi dhaifu -0.0073	Hasi dhaifu -0.0555
Answer 3	-	Hasi dhaifu -0.0228	Hasi dhaifu -0.0256	Chanya dhaifu 0.0045	Chanya dhaifu 0.0553	Hasi dhaifu -0.0232	Hasi dhaifu -0.0105	Chanya dhaifu 0.0074
Answer 4	-	Chanya dhaifu 0.0329	Hasi dhaifu -0.0047	Chanya dhaifu 0.0149	Hasi dhaifu -0.0412	Hasi dhaifu -0.0342	Hasi dhaifu -0.0074	Chanya dhaifu 0.0449
Answer 5	-	Hasi dhaifu -0.0094	Hasi dhaifu -0.0261	Hasi dhaifu -0.0230	Chanya dhaifu 0.0463	Chanya dhaifu 0.0346	Chanya dhaifu 0.0300	Hasi dhaifu -0.0519
Answer 6	-	Hasi dhaifu -0.0118	Hasi dhaifu -0.0530	Hasi dhaifu -0.0733	Chanya dhaifu 0.0702	Hasi dhaifu -0.0155	Chanya dhaifu 0.0470	Chanya dhaifu 0.0129
Answer 7	-	Hasi dhaifu -0.0643	Chanya dhaifu 0.0935	Hasi dhaifu -0.0592	Hasi dhaifu -0.0012	Chanya dhaifu 0.0092	Hasi dhaifu -0.0034	Chanya dhaifu 0.0233
2) Udhibiti (unakubali au haukubaliani?)
Answer 8	-	Chanya dhaifu 0.0149	Chanya dhaifu 0.0058	Chanya dhaifu 0.0830	Chanya dhaifu 0.0595	Hasi dhaifu -0.0326	Hasi dhaifu -0.0791	Hasi dhaifu -0.0463
Answer 9	-	Chanya dhaifu 0.0229	Hasi dhaifu -0.0238	Hasi dhaifu -0.0378	Chanya dhaifu 0.0297	Chanya dhaifu 0.0811	Hasi dhaifu -0.0113	Hasi dhaifu -0.0566
Answer 10	-	Chanya dhaifu 0.0132	Hasi dhaifu -0.0401	Hasi dhaifu -0.0533	Hasi dhaifu -0.0207	Chanya dhaifu 0.0031	Chanya dhaifu 0.0593	Chanya dhaifu 0.0308
Answer 11	-	Chanya dhaifu 0.0224	Chanya dhaifu 0.0023	Chanya dhaifu 0.0128	Hasi dhaifu -0.0592	Hasi dhaifu -0.0166	Hasi dhaifu -0.0136	Chanya dhaifu 0.0552
Answer 12	-	Hasi dhaifu -0.0087	Chanya dhaifu 0.0333	Chanya dhaifu 0.0523	Chanya dhaifu 0.0403	Hasi dhaifu -0.0660	Chanya dhaifu 0.0087	Hasi dhaifu -0.0436
Answer 13	-	Hasi dhaifu -0.0947	Hasi dhaifu -0.0346	Hasi dhaifu -0.0132	Chanya dhaifu 0.0111	Chanya dhaifu 0.0178	Chanya dhaifu 0.0731	Chanya dhaifu 0.0036
Answer 14	-	Hasi dhaifu -0.0009	Chanya dhaifu 0.0838	Hasi dhaifu -0.0344	Hasi dhaifu -0.0762	Hasi dhaifu -0.0236	Hasi dhaifu -0.0102	Chanya dhaifu 0.0767

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

2023.11.27

Valerii Kosenko

Mmiliki wa Bidhaa SaaS SDTEST®

Valerii alifuzu kama mwanasaikolojia wa kufundisha jamii mwaka wa 1993 na tangu wakati huo ametumia ujuzi wake katika usimamizi wa mradi.
Valerii alipata Shahada ya Uzamili na kufuzu kwa mradi na meneja wa programu mwaka wa 2013. Wakati wa programu yake ya Uzamili, alipata ujuzi wa Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) na Spiral Dynamics.
Valerii ndiye mwandishi wa kuchunguza kutokuwa na uhakika wa V.U.C.A. dhana kwa kutumia Spiral Dynamics na takwimu za hisabati katika saikolojia, na kura 38 za kimataifa.

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