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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 = 0.0726

Usambazaji usio wa kawaida, na Spearman r = 0.003

Onyesha matokeo tu > r = 0.0726

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 0.0669	Chanya dhaifu 0.0212	Chanya dhaifu 0.0944	Hasi dhaifu -0.1161	Hasi dhaifu -0.0094	Hasi dhaifu -0.0474	Chanya dhaifu 0.0192
Answer 2	-	Chanya dhaifu 0.0147	Hasi dhaifu -0.0046	Chanya dhaifu 0.0413	Hasi dhaifu -0.0277	Chanya dhaifu 0.0430	Hasi dhaifu -0.0038	Hasi dhaifu -0.0528
Answer 3	-	Hasi dhaifu -0.0222	Hasi dhaifu -0.0251	Chanya dhaifu 0.0050	Chanya dhaifu 0.0562	Hasi dhaifu -0.0240	Hasi dhaifu -0.0113	Chanya dhaifu 0.0067
Answer 4	-	Chanya dhaifu 0.0333	Hasi dhaifu -0.0043	Chanya dhaifu 0.0153	Hasi dhaifu -0.0403	Hasi dhaifu -0.0348	Hasi dhaifu -0.0081	Chanya dhaifu 0.0443
Answer 5	-	Hasi dhaifu -0.0091	Hasi dhaifu -0.0257	Hasi dhaifu -0.0227	Chanya dhaifu 0.0469	Chanya dhaifu 0.0341	Chanya dhaifu 0.0295	Hasi dhaifu -0.0523
Answer 6	-	Hasi dhaifu -0.0114	Hasi dhaifu -0.0526	Hasi dhaifu -0.0728	Chanya dhaifu 0.0709	Hasi dhaifu -0.0161	Chanya dhaifu 0.0462	Chanya dhaifu 0.0124
Answer 7	-	Hasi dhaifu -0.0638	Chanya dhaifu 0.0939	Hasi dhaifu -0.0587	Hasi dhaifu -0.0003	Chanya dhaifu 0.0086	Hasi dhaifu -0.0042	Chanya dhaifu 0.0228
2) Udhibiti (unakubali au haukubaliani?)
Answer 8	-	Chanya dhaifu 0.0155	Chanya dhaifu 0.0063	Chanya dhaifu 0.0835	Chanya dhaifu 0.0605	Hasi dhaifu -0.0334	Hasi dhaifu -0.0800	Hasi dhaifu -0.0470
Answer 9	-	Chanya dhaifu 0.0209	Hasi dhaifu -0.0255	Hasi dhaifu -0.0395	Chanya dhaifu 0.0259	Chanya dhaifu 0.0837	Hasi dhaifu -0.0081	Hasi dhaifu -0.0541
Answer 10	-	Chanya dhaifu 0.0137	Hasi dhaifu -0.0396	Hasi dhaifu -0.0528	Hasi dhaifu -0.0197	Chanya dhaifu 0.0023	Chanya dhaifu 0.0584	Chanya dhaifu 0.0301
Answer 11	-	Chanya dhaifu 0.0228	Chanya dhaifu 0.0027	Chanya dhaifu 0.0132	Hasi dhaifu -0.0583	Hasi dhaifu -0.0172	Hasi dhaifu -0.0143	Chanya dhaifu 0.0547
Answer 12	-	Hasi dhaifu -0.0084	Chanya dhaifu 0.0336	Chanya dhaifu 0.0525	Chanya dhaifu 0.0407	Hasi dhaifu -0.0663	Chanya dhaifu 0.0083	Hasi dhaifu -0.0438
Answer 13	-	Hasi dhaifu -0.0944	Hasi dhaifu -0.0343	Hasi dhaifu -0.0129	Chanya dhaifu 0.0117	Chanya dhaifu 0.0172	Chanya dhaifu 0.0725	Chanya dhaifu 0.0032
Answer 14	-	Hasi dhaifu -0.0005	Chanya dhaifu 0.0840	Hasi dhaifu -0.0341	Hasi dhaifu -0.0754	Hasi dhaifu -0.0241	Hasi dhaifu -0.0107	Chanya dhaifu 0.0762

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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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