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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.

Ka naʻauao a me ka hopena o ke kīwī

nńnń Mea hoʻopili

VUCA

Pilikia waiwai o ka mea hoʻopili kaʻi lau waiwai

ʻO ka hoʻokaʻawale maʻamau, e William Sealy Gosset (haumāna) r = 0.0763

ʻO ka māhele maʻamauʻole, e ka'ōlelo r = 0.0031

Hōʻike i nā hopena wale nō > r = 0.0763

Ka Hoʻohanohano	Non maʻamau	Maʻamau	Non maʻamau	Maʻamau	Maʻamau	Maʻamau	Maʻamau	Maʻamau
Nā nīnau āpau Nā nīnau āpau 1) Palekana (pehea kāu eʻae ai aʻaeʻole paha?) 2) E kāohi (pehea kāu eʻae ai aʻaeʻole paha?)
1) Palekana (pehea kāu eʻae ai aʻaeʻole paha?)
Answer 1	-	Nawaliwali maikaʻi 0.0780	Nawaliwali hopena maikaʻi -0.0013	Nawaliwali maikaʻi 0.1092	Nawaliwali hopena maikaʻi -0.0965	Nawaliwali hopena maikaʻi -0.0082	Nawaliwali hopena maikaʻi -0.0554	Nawaliwali maikaʻi 0.0083
Answer 2	-	Nawaliwali maikaʻi 0.0290	Nawaliwali hopena maikaʻi -0.0016	Nawaliwali maikaʻi 0.0401	Nawaliwali hopena maikaʻi -0.0312	Nawaliwali maikaʻi 0.0451	Nawaliwali maikaʻi 0.0015	Nawaliwali hopena maikaʻi -0.0620
Answer 3	-	Nawaliwali hopena maikaʻi -0.0142	Nawaliwali hopena maikaʻi -0.0519	Nawaliwali hopena maikaʻi -0.0059	Nawaliwali maikaʻi 0.0485	Nawaliwali hopena maikaʻi -0.0108	Nawaliwali hopena maikaʻi -0.0076	Nawaliwali maikaʻi 0.0174
Answer 4	-	Nawaliwali maikaʻi 0.0204	Nawaliwali maikaʻi 0.0084	Nawaliwali maikaʻi 0.0182	Nawaliwali hopena maikaʻi -0.0414	Nawaliwali hopena maikaʻi -0.0314	Nawaliwali hopena maikaʻi -0.0132	Nawaliwali maikaʻi 0.0495
Answer 5	-	Nawaliwali hopena maikaʻi -0.0036	Nawaliwali hopena maikaʻi -0.0097	Nawaliwali hopena maikaʻi -0.0185	Nawaliwali maikaʻi 0.0477	Nawaliwali hopena maikaʻi -0.0030	Nawaliwali maikaʻi 0.0301	Nawaliwali hopena maikaʻi -0.0557
Answer 6	-	Nawaliwali hopena maikaʻi -0.0414	Nawaliwali hopena maikaʻi -0.0556	Nawaliwali hopena maikaʻi -0.0823	Nawaliwali maikaʻi 0.0795	Nawaliwali hopena maikaʻi -0.0012	Nawaliwali maikaʻi 0.0520	Nawaliwali maikaʻi 0.0146
Answer 7	-	Nawaliwali hopena maikaʻi -0.0600	Nawaliwali maikaʻi 0.1144	Nawaliwali hopena maikaʻi -0.0542	Nawaliwali hopena maikaʻi -0.0096	Nawaliwali maikaʻi 0.0012	Nawaliwali hopena maikaʻi -0.0080	Nawaliwali maikaʻi 0.0241
2) E kāohi (pehea kāu eʻae ai aʻaeʻole paha?)
Answer 8	-	Nawaliwali maikaʻi 0.0283	Nawaliwali maikaʻi 0.0174	Nawaliwali maikaʻi 0.0583	Nawaliwali maikaʻi 0.0581	Nawaliwali hopena maikaʻi -0.0182	Nawaliwali hopena maikaʻi -0.0745	Nawaliwali hopena maikaʻi -0.0550
Answer 9	-	Nawaliwali maikaʻi 0.0097	Nawaliwali hopena maikaʻi -0.0287	Nawaliwali hopena maikaʻi -0.0387	Nawaliwali maikaʻi 0.0305	Nawaliwali maikaʻi 0.0863	Nawaliwali hopena maikaʻi -0.0161	Nawaliwali hopena maikaʻi -0.0470
Answer 10	-	Nawaliwali maikaʻi 0.0190	Nawaliwali hopena maikaʻi -0.0334	Nawaliwali hopena maikaʻi -0.0417	Nawaliwali hopena maikaʻi -0.0013	Nawaliwali hopena maikaʻi -0.0142	Nawaliwali maikaʻi 0.0502	Nawaliwali maikaʻi 0.0176
Answer 11	-	Nawaliwali maikaʻi 0.0358	Nawaliwali maikaʻi 0.0118	Nawaliwali maikaʻi 0.0160	Nawaliwali hopena maikaʻi -0.0628	Nawaliwali hopena maikaʻi -0.0127	Nawaliwali hopena maikaʻi -0.0174	Nawaliwali maikaʻi 0.0434
Answer 12	-	Nawaliwali hopena maikaʻi -0.0211	Nawaliwali maikaʻi 0.0354	Nawaliwali maikaʻi 0.0631	Nawaliwali maikaʻi 0.0352	Nawaliwali hopena maikaʻi -0.0736	Nawaliwali maikaʻi 0.0029	Nawaliwali hopena maikaʻi -0.0414
Answer 13	-	Nawaliwali hopena maikaʻi -0.1112	Nawaliwali hopena maikaʻi -0.0452	Nawaliwali hopena maikaʻi -0.0103	Nawaliwali maikaʻi 0.0029	Nawaliwali maikaʻi 0.0144	Nawaliwali maikaʻi 0.0795	Nawaliwali maikaʻi 0.0259
Answer 14	-	Nawaliwali maikaʻi 0.0038	Nawaliwali maikaʻi 0.0641	Nawaliwali hopena maikaʻi -0.0297	Nawaliwali hopena maikaʻi -0.0850	Nawaliwali hopena maikaʻi -0.0222	Nawaliwali maikaʻi 0.0037	Nawaliwali maikaʻi 0.0820

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

2023.11.27

Valerii Kosenko

ʻO ka mea nona ka huahanaʻo Saas Bank Project SDTest®

Ua loaʻa iā Valerii i kahi mea hoʻokūkū kanaka ma keʻano he psychologist
Loaʻaʻo Valerii i kahi keken o ka haku a me ka papahana a me ka hana ma 2013. I ka wā o kāna papahana,ʻikeʻiaʻo ia me ka papahana o kona haku
Laweʻo Valerii i nā hōʻike Spiral Denamics e hoʻohana a hoʻohana i konaʻike a me konaʻike e hoʻoponopono i ka mana o keʻano o ka sdtest.
ʻO Valerii ka mea kākau o kaʻimiʻana i ka maopopoʻole o ka v.U.C.a. Manaʻo e hoʻohana ana i nā kiʻi spiral spimal a me nā helu helu matematika ma ka psychology,ʻoi aku ma mua o 20 mau koho balota.

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