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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 0.0734	Chanya dhaifu 0.0222	Chanya dhaifu 0.0930	Hasi dhaifu -0.1129	Hasi dhaifu -0.0082	Hasi dhaifu -0.0441	Chanya dhaifu 0.0172
Answer 2	-	Chanya dhaifu 0.0176	Hasi dhaifu -0.0064	Chanya dhaifu 0.0439	Hasi dhaifu -0.0235	Chanya dhaifu 0.0411	Hasi dhaifu -0.0037	Hasi dhaifu -0.0536
Answer 3	-	Hasi dhaifu -0.0237	Hasi dhaifu -0.0293	Chanya dhaifu 0.0041	Chanya dhaifu 0.0580	Hasi dhaifu -0.0254	Hasi dhaifu -0.0131	Chanya dhaifu 0.0056
Answer 4	-	Chanya dhaifu 0.0353	Hasi dhaifu -0.0020	Chanya dhaifu 0.0147	Hasi dhaifu -0.0434	Hasi dhaifu -0.0329	Hasi dhaifu -0.0045	Chanya dhaifu 0.0461
Answer 5	-	Hasi dhaifu -0.0159	Hasi dhaifu -0.0257	Hasi dhaifu -0.0233	Chanya dhaifu 0.0425	Chanya dhaifu 0.0329	Chanya dhaifu 0.0241	Hasi dhaifu -0.0546
Answer 6	-	Hasi dhaifu -0.0137	Hasi dhaifu -0.0525	Hasi dhaifu -0.0709	Chanya dhaifu 0.0701	Hasi dhaifu -0.0147	Chanya dhaifu 0.0443	Chanya dhaifu 0.0137
Answer 7	-	Hasi dhaifu -0.0651	Chanya dhaifu 0.0972	Hasi dhaifu -0.0603	Hasi dhaifu -0.0026	Chanya dhaifu 0.0092	Hasi dhaifu -0.0026	Chanya dhaifu 0.0252
2) Udhibiti (unakubali au haukubaliani?)
Answer 8	-	Chanya dhaifu 0.0139	Chanya dhaifu 0.0048	Chanya dhaifu 0.0805	Chanya dhaifu 0.0622	Hasi dhaifu -0.0317	Hasi dhaifu -0.0783	Hasi dhaifu -0.0456
Answer 9	-	Chanya dhaifu 0.0230	Hasi dhaifu -0.0258	Hasi dhaifu -0.0352	Chanya dhaifu 0.0274	Chanya dhaifu 0.0832	Hasi dhaifu -0.0126	Hasi dhaifu -0.0582
Answer 10	-	Chanya dhaifu 0.0143	Hasi dhaifu -0.0423	Hasi dhaifu -0.0553	Hasi dhaifu -0.0195	Chanya dhaifu 0.0021	Chanya dhaifu 0.0614	Chanya dhaifu 0.0320
Answer 11	-	Chanya dhaifu 0.0256	Chanya dhaifu 0.0035	Chanya dhaifu 0.0149	Hasi dhaifu -0.0597	Hasi dhaifu -0.0187	Hasi dhaifu -0.0176	Chanya dhaifu 0.0573
Answer 12	-	Hasi dhaifu -0.0173	Chanya dhaifu 0.0347	Chanya dhaifu 0.0531	Chanya dhaifu 0.0412	Hasi dhaifu -0.0701	Chanya dhaifu 0.0068	Hasi dhaifu -0.0464
Answer 13	-	Hasi dhaifu -0.0930	Hasi dhaifu -0.0342	Hasi dhaifu -0.0141	Chanya dhaifu 0.0112	Chanya dhaifu 0.0211	Chanya dhaifu 0.0739	Chanya dhaifu 0.0020
Answer 14	-	Chanya dhaifu 0.0002	Chanya dhaifu 0.0882	Hasi dhaifu -0.0341	Hasi dhaifu -0.0785	Hasi dhaifu -0.0241	Hasi dhaifu -0.0070	Chanya dhaifu 0.0777

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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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