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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 = 0.0724

Usambazaji usio wa kawaida, na Spearman r = 0.003

Onyesha matokeo tu > r = 0.0724

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 0.0744	Chanya dhaifu 0.0232	Chanya dhaifu 0.0930	Hasi dhaifu -0.1112	Hasi dhaifu -0.0085	Hasi dhaifu -0.0453	Chanya dhaifu 0.0161
Answer 2	-	Chanya dhaifu 0.0143	Hasi dhaifu -0.0092	Chanya dhaifu 0.0470	Hasi dhaifu -0.0267	Chanya dhaifu 0.0368	Hasi dhaifu -4.03E-5	Hasi dhaifu -0.0487
Answer 3	-	Hasi dhaifu -0.0219	Hasi dhaifu -0.0276	Chanya dhaifu 0.0046	Chanya dhaifu 0.0592	Hasi dhaifu -0.0258	Hasi dhaifu -0.0152	Chanya dhaifu 0.0040
Answer 4	-	Chanya dhaifu 0.0337	Hasi dhaifu -0.0032	Chanya dhaifu 0.0118	Hasi dhaifu -0.0446	Hasi dhaifu -0.0316	Hasi dhaifu -0.0011	Chanya dhaifu 0.0479
Answer 5	-	Hasi dhaifu -0.0147	Hasi dhaifu -0.0247	Hasi dhaifu -0.0229	Chanya dhaifu 0.0432	Chanya dhaifu 0.0323	Chanya dhaifu 0.0226	Hasi dhaifu -0.0554
Answer 6	-	Hasi dhaifu -0.0152	Hasi dhaifu -0.0537	Hasi dhaifu -0.0732	Chanya dhaifu 0.0644	Hasi dhaifu -0.0072	Chanya dhaifu 0.0439	Chanya dhaifu 0.0159
Answer 7	-	Hasi dhaifu -0.0618	Chanya dhaifu 0.0994	Hasi dhaifu -0.0592	Chanya dhaifu 0.0048	Chanya dhaifu 0.0067	Hasi dhaifu -0.0058	Chanya dhaifu 0.0186
2) Udhibiti (unakubali au haukubaliani?)
Answer 8	-	Chanya dhaifu 0.0132	Chanya dhaifu 0.0043	Chanya dhaifu 0.0777	Chanya dhaifu 0.0608	Hasi dhaifu -0.0308	Hasi dhaifu -0.0756	Hasi dhaifu -0.0440
Answer 9	-	Chanya dhaifu 0.0226	Hasi dhaifu -0.0260	Hasi dhaifu -0.0371	Chanya dhaifu 0.0240	Chanya dhaifu 0.0852	Hasi dhaifu -0.0107	Hasi dhaifu -0.0567
Answer 10	-	Chanya dhaifu 0.0161	Hasi dhaifu -0.0407	Hasi dhaifu -0.0546	Hasi dhaifu -0.0179	Chanya dhaifu 0.0015	Chanya dhaifu 0.0591	Chanya dhaifu 0.0303
Answer 11	-	Chanya dhaifu 0.0236	Chanya dhaifu 0.0018	Chanya dhaifu 0.0222	Hasi dhaifu -0.0577	Hasi dhaifu -0.0275	Hasi dhaifu -0.0173	Chanya dhaifu 0.0594
Answer 12	-	Hasi dhaifu -0.0163	Chanya dhaifu 0.0354	Chanya dhaifu 0.0531	Chanya dhaifu 0.0417	Hasi dhaifu -0.0699	Chanya dhaifu 0.0057	Hasi dhaifu -0.0470
Answer 13	-	Hasi dhaifu -0.0948	Hasi dhaifu -0.0363	Hasi dhaifu -0.0177	Chanya dhaifu 0.0043	Chanya dhaifu 0.0300	Chanya dhaifu 0.0739	Chanya dhaifu 0.0055
Answer 14	-	Chanya dhaifu 0.0031	Chanya dhaifu 0.0902	Hasi dhaifu -0.0331	Hasi dhaifu -0.0693	Hasi dhaifu -0.0264	Hasi dhaifu -0.0102	Chanya dhaifu 0.0699

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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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