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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 0.0709	Nawaliwali hopena maikaʻi -0.0028	Nawaliwali maikaʻi 0.1106	Nawaliwali hopena maikaʻi -0.0994	Nawaliwali hopena maikaʻi -0.0085	Nawaliwali hopena maikaʻi -0.0583	Nawaliwali maikaʻi 0.0110
Answer 2	-	Nawaliwali maikaʻi 0.0280	Nawaliwali maikaʻi 0.0016	Nawaliwali maikaʻi 0.0403	Nawaliwali hopena maikaʻi -0.0300	Nawaliwali maikaʻi 0.0444	Nawaliwali hopena maikaʻi -0.0020	Nawaliwali hopena maikaʻi -0.0658
Answer 3	-	Nawaliwali hopena maikaʻi -0.0147	Nawaliwali hopena maikaʻi -0.0480	Nawaliwali hopena maikaʻi -0.0065	Nawaliwali maikaʻi 0.0458	Nawaliwali hopena maikaʻi -0.0093	Nawaliwali hopena maikaʻi -0.0046	Nawaliwali maikaʻi 0.0184
Answer 4	-	Nawaliwali maikaʻi 0.0166	Nawaliwali maikaʻi 0.0057	Nawaliwali maikaʻi 0.0186	Nawaliwali hopena maikaʻi -0.0386	Nawaliwali hopena maikaʻi -0.0325	Nawaliwali hopena maikaʻi -0.0142	Nawaliwali maikaʻi 0.0482
Answer 5	-	Nawaliwali maikaʻi 0.0043	Nawaliwali hopena maikaʻi -0.0109	Nawaliwali hopena maikaʻi -0.0187	Nawaliwali maikaʻi 0.0505	Nawaliwali hopena maikaʻi -0.0008	Nawaliwali maikaʻi 0.0361	Nawaliwali hopena maikaʻi -0.0520
Answer 6	-	Nawaliwali hopena maikaʻi -0.0401	Nawaliwali hopena maikaʻi -0.0583	Nawaliwali hopena maikaʻi -0.0839	Nawaliwali maikaʻi 0.0803	Nawaliwali hopena maikaʻi -0.0010	Nawaliwali maikaʻi 0.0548	Nawaliwali maikaʻi 0.0139
Answer 7	-	Nawaliwali hopena maikaʻi -0.0560	Nawaliwali maikaʻi 0.1141	Nawaliwali hopena maikaʻi -0.0539	Nawaliwali hopena maikaʻi -0.0116	Nawaliwali hopena maikaʻi -0.0001	Nawaliwali hopena maikaʻi -0.0108	Nawaliwali maikaʻi 0.0246
2) E kāohi (pehea kāu eʻae ai aʻaeʻole paha?)
Answer 8	-	Nawaliwali maikaʻi 0.0279	Nawaliwali maikaʻi 0.0172	Nawaliwali maikaʻi 0.0623	Nawaliwali maikaʻi 0.0562	Nawaliwali hopena maikaʻi -0.0184	Nawaliwali hopena maikaʻi -0.0748	Nawaliwali hopena maikaʻi -0.0562
Answer 9	-	Nawaliwali maikaʻi 0.0074	Nawaliwali hopena maikaʻi -0.0274	Nawaliwali hopena maikaʻi -0.0412	Nawaliwali maikaʻi 0.0323	Nawaliwali maikaʻi 0.0853	Nawaliwali hopena maikaʻi -0.0162	Nawaliwali hopena maikaʻi -0.0452
Answer 10	-	Nawaliwali maikaʻi 0.0176	Nawaliwali hopena maikaʻi -0.0320	Nawaliwali hopena maikaʻi -0.0396	Nawaliwali hopena maikaʻi -0.0023	Nawaliwali hopena maikaʻi -0.0136	Nawaliwali maikaʻi 0.0492	Nawaliwali maikaʻi 0.0170
Answer 11	-	Nawaliwali maikaʻi 0.0321	Nawaliwali maikaʻi 0.0105	Nawaliwali maikaʻi 0.0134	Nawaliwali hopena maikaʻi -0.0615	Nawaliwali hopena maikaʻi -0.0101	Nawaliwali hopena maikaʻi -0.0137	Nawaliwali maikaʻi 0.0401
Answer 12	-	Nawaliwali hopena maikaʻi -0.0132	Nawaliwali maikaʻi 0.0326	Nawaliwali maikaʻi 0.0613	Nawaliwali maikaʻi 0.0349	Nawaliwali hopena maikaʻi -0.0699	Nawaliwali maikaʻi 0.0061	Nawaliwali hopena maikaʻi -0.0382
Answer 13	-	Nawaliwali hopena maikaʻi -0.1088	Nawaliwali hopena maikaʻi -0.0423	Nawaliwali hopena maikaʻi -0.0096	Nawaliwali hopena maikaʻi -0.0013	Nawaliwali maikaʻi 0.0092	Nawaliwali maikaʻi 0.0769	Nawaliwali maikaʻi 0.0302
Answer 14	-	Nawaliwali maikaʻi 0.0043	Nawaliwali maikaʻi 0.0611	Nawaliwali hopena maikaʻi -0.0311	Nawaliwali hopena maikaʻi -0.0806	Nawaliwali hopena maikaʻi -0.0219	Nawaliwali maikaʻi 0.0017	Nawaliwali maikaʻi 0.0791

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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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