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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 = 0.084

ʻO ka māhele maʻamauʻole, e ka'ōlelo r = 0.0036

Hōʻike i nā hopena wale nō > r = 0.084

Ka Hoʻohanohano	Non maʻamau	Maʻamau	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 0.0782	Nawaliwali hopena maikaʻi -0.0194	Nawaliwali maikaʻi 0.1068	Nawaliwali hopena maikaʻi -0.1237	Nawaliwali maikaʻi 0.0211	Nawaliwali hopena maikaʻi -0.0558	Nawaliwali maikaʻi 0.0212
Answer 2	-	Nawaliwali maikaʻi 0.0296	Nawaliwali maikaʻi 0.0231	Nawaliwali maikaʻi 0.0400	Nawaliwali hopena maikaʻi -0.0012	Nawaliwali maikaʻi 0.0132	Nawaliwali hopena maikaʻi -0.0053	Nawaliwali hopena maikaʻi -0.0711
Answer 3	-	Nawaliwali hopena maikaʻi -0.0075	Nawaliwali hopena maikaʻi -0.0330	Nawaliwali hopena maikaʻi -0.0036	Nawaliwali maikaʻi 0.0550	Nawaliwali hopena maikaʻi -0.0054	Nawaliwali hopena maikaʻi -0.0144	Nawaliwali hopena maikaʻi -0.0108
Answer 4	-	Nawaliwali maikaʻi 0.0045	Nawaliwali maikaʻi 0.0259	Nawaliwali maikaʻi 0.0324	Nawaliwali hopena maikaʻi -0.0203	Nawaliwali hopena maikaʻi -0.0601	Nawaliwali hopena maikaʻi -0.0206	Nawaliwali maikaʻi 0.0472
Answer 5	-	Nawaliwali maikaʻi 0.0071	Nawaliwali hopena maikaʻi -0.0184	Nawaliwali hopena maikaʻi -0.0280	Nawaliwali maikaʻi 0.0166	Nawaliwali maikaʻi 0.0164	Nawaliwali maikaʻi 0.0252	Nawaliwali hopena maikaʻi -0.0339
Answer 6	-	Nawaliwali hopena maikaʻi -0.0457	Nawaliwali hopena maikaʻi -0.0552	Nawaliwali hopena maikaʻi -0.1004	Nawaliwali maikaʻi 0.0896	Nawaliwali maikaʻi 0.0092	Nawaliwali maikaʻi 0.0466	Nawaliwali maikaʻi 0.0190
Answer 7	-	Nawaliwali hopena maikaʻi -0.0566	Nawaliwali maikaʻi 0.0719	Nawaliwali hopena maikaʻi -0.0421	Nawaliwali hopena maikaʻi -0.0405	Nawaliwali maikaʻi 0.0116	Nawaliwali maikaʻi 0.0233	Nawaliwali maikaʻi 0.0372
2) E kāohi (pehea kāu eʻae ai aʻaeʻole paha?)
Answer 8	-	Nawaliwali maikaʻi 0.0261	Nawaliwali maikaʻi 0.0447	Nawaliwali maikaʻi 0.0766	Nawaliwali maikaʻi 0.0706	Nawaliwali hopena maikaʻi -0.0209	Nawaliwali hopena maikaʻi -0.1053	Nawaliwali hopena maikaʻi -0.0740
Answer 9	-	Nawaliwali maikaʻi 0.0256	Nawaliwali hopena maikaʻi -0.0460	Nawaliwali hopena maikaʻi -0.0393	Nawaliwali hopena maikaʻi -0.0056	Nawaliwali maikaʻi 0.0960	Nawaliwali hopena maikaʻi -0.0292	Nawaliwali hopena maikaʻi -0.0080
Answer 10	-	Nawaliwali maikaʻi 0.0471	Nawaliwali hopena maikaʻi -0.0248	Nawaliwali hopena maikaʻi -0.0245	Nawaliwali hopena maikaʻi -0.0183	Nawaliwali hopena maikaʻi -0.0291	Nawaliwali maikaʻi 0.0256	Nawaliwali maikaʻi 0.0316
Answer 11	-	Nawaliwali maikaʻi 0.0191	Nawaliwali maikaʻi 0.0042	Nawaliwali maikaʻi 0.0053	Nawaliwali hopena maikaʻi -0.0398	Nawaliwali maikaʻi 0.0012	Nawaliwali hopena maikaʻi -0.0115	Nawaliwali maikaʻi 0.0295
Answer 12	-	Nawaliwali hopena maikaʻi -0.0507	Nawaliwali maikaʻi 0.0353	Nawaliwali maikaʻi 0.0299	Nawaliwali maikaʻi 0.0534	Nawaliwali hopena maikaʻi -0.0671	Nawaliwali maikaʻi 0.0424	Nawaliwali hopena maikaʻi -0.0536
Answer 13	-	Nawaliwali hopena maikaʻi -0.1113	Nawaliwali hopena maikaʻi -0.0431	Nawaliwali maikaʻi 0.0030	Nawaliwali maikaʻi 0.0204	Nawaliwali hopena maikaʻi -0.0120	Nawaliwali maikaʻi 0.0925	Nawaliwali maikaʻi 0.0106
Answer 14	-	Nawaliwali hopena maikaʻi -0.0076	Nawaliwali maikaʻi 0.0455	Nawaliwali hopena maikaʻi -0.0575	Nawaliwali hopena maikaʻi -0.0913	Nawaliwali hopena maikaʻi -0.0036	Nawaliwali maikaʻi 0.0486	Nawaliwali maikaʻi 0.0789

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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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