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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 = 0.0722

Usambazaji usio wa kawaida, na Spearman r = 0.0029

Onyesha matokeo tu > r = 0.0722

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 0.0641	Chanya dhaifu 0.0190	Chanya dhaifu 0.0961	Hasi dhaifu -0.1206	Hasi dhaifu -0.0002	Hasi dhaifu -0.0497	Chanya dhaifu 0.0188
Answer 2	-	Chanya dhaifu 0.0147	Hasi dhaifu -0.0046	Chanya dhaifu 0.0452	Hasi dhaifu -0.0263	Chanya dhaifu 0.0354	Hasi dhaifu -0.0035	Hasi dhaifu -0.0509
Answer 3	-	Hasi dhaifu -0.0223	Hasi dhaifu -0.0211	Chanya dhaifu 0.0125	Chanya dhaifu 0.0593	Hasi dhaifu -0.0281	Hasi dhaifu -0.0140	Chanya dhaifu 0.0007
Answer 4	-	Chanya dhaifu 0.0290	Hasi dhaifu -0.0078	Chanya dhaifu 0.0110	Hasi dhaifu -0.0475	Hasi dhaifu -0.0317	Chanya dhaifu 0.0008	Chanya dhaifu 0.0496
Answer 5	-	Hasi dhaifu -0.0074	Hasi dhaifu -0.0243	Hasi dhaifu -0.0233	Chanya dhaifu 0.0471	Chanya dhaifu 0.0337	Chanya dhaifu 0.0285	Hasi dhaifu -0.0531
Answer 6	-	Hasi dhaifu -0.0124	Hasi dhaifu -0.0533	Hasi dhaifu -0.0759	Chanya dhaifu 0.0648	Hasi dhaifu -0.0083	Chanya dhaifu 0.0468	Chanya dhaifu 0.0147
Answer 7	-	Hasi dhaifu -0.0573	Chanya dhaifu 0.0937	Hasi dhaifu -0.0652	Chanya dhaifu 0.0121	Chanya dhaifu 0.0042	Hasi dhaifu -0.0085	Chanya dhaifu 0.0200
2) Udhibiti (unakubali au haukubaliani?)
Answer 8	-	Chanya dhaifu 0.0128	Chanya dhaifu 0.0040	Chanya dhaifu 0.0812	Chanya dhaifu 0.0532	Hasi dhaifu -0.0256	Hasi dhaifu -0.0777	Hasi dhaifu -0.0445
Answer 9	-	Chanya dhaifu 0.0239	Hasi dhaifu -0.0228	Hasi dhaifu -0.0407	Chanya dhaifu 0.0268	Chanya dhaifu 0.0827	Hasi dhaifu -0.0096	Hasi dhaifu -0.0558
Answer 10	-	Chanya dhaifu 0.0178	Hasi dhaifu -0.0397	Hasi dhaifu -0.0592	Hasi dhaifu -0.0132	Chanya dhaifu 0.0004	Chanya dhaifu 0.0552	Chanya dhaifu 0.0316
Answer 11	-	Chanya dhaifu 0.0143	Chanya dhaifu 0.0004	Chanya dhaifu 0.0298	Hasi dhaifu -0.0590	Hasi dhaifu -0.0293	Hasi dhaifu -0.0092	Chanya dhaifu 0.0553
Answer 12	-	Hasi dhaifu -0.0070	Chanya dhaifu 0.0346	Chanya dhaifu 0.0513	Chanya dhaifu 0.0408	Hasi dhaifu -0.0657	Chanya dhaifu 0.0076	Hasi dhaifu -0.0445
Answer 13	-	Hasi dhaifu -0.0957	Hasi dhaifu -0.0361	Hasi dhaifu -0.0173	Chanya dhaifu 0.0048	Chanya dhaifu 0.0263	Chanya dhaifu 0.0734	Chanya dhaifu 0.0069
Answer 14	-	Chanya dhaifu 0.0032	Chanya dhaifu 0.0870	Hasi dhaifu -0.0344	Hasi dhaifu -0.0667	Hasi dhaifu -0.0262	Hasi dhaifu -0.0135	Chanya dhaifu 0.0684

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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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