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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 = 0.0769

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

Hōʻike i nā hopena wale nō > r = 0.0769

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 0.0776	Nawaliwali hopena maikaʻi -0.0024	Nawaliwali maikaʻi 0.1086	Nawaliwali hopena maikaʻi -0.0971	Nawaliwali hopena maikaʻi -0.0058	Nawaliwali hopena maikaʻi -0.0558	Nawaliwali maikaʻi 0.0092
Answer 2	-	Nawaliwali maikaʻi 0.0321	Nawaliwali maikaʻi 0.0004	Nawaliwali maikaʻi 0.0435	Nawaliwali hopena maikaʻi -0.0287	Nawaliwali maikaʻi 0.0469	Nawaliwali hopena maikaʻi -0.0038	Nawaliwali hopena maikaʻi -0.0670
Answer 3	-	Nawaliwali hopena maikaʻi -0.0188	Nawaliwali hopena maikaʻi -0.0519	Nawaliwali maikaʻi 0.0005	Nawaliwali maikaʻi 0.0459	Nawaliwali hopena maikaʻi -0.0223	Nawaliwali hopena maikaʻi -0.0010	Nawaliwali maikaʻi 0.0214
Answer 4	-	Nawaliwali maikaʻi 0.0260	Nawaliwali maikaʻi 0.0131	Nawaliwali maikaʻi 0.0158	Nawaliwali hopena maikaʻi -0.0354	Nawaliwali hopena maikaʻi -0.0351	Nawaliwali hopena maikaʻi -0.0138	Nawaliwali maikaʻi 0.0432
Answer 5	-	Nawaliwali hopena maikaʻi -0.0048	Nawaliwali hopena maikaʻi -0.0107	Nawaliwali hopena maikaʻi -0.0203	Nawaliwali maikaʻi 0.0480	Nawaliwali hopena maikaʻi -0.0008	Nawaliwali maikaʻi 0.0302	Nawaliwali hopena maikaʻi -0.0553
Answer 6	-	Nawaliwali hopena maikaʻi -0.0436	Nawaliwali hopena maikaʻi -0.0573	Nawaliwali hopena maikaʻi -0.0854	Nawaliwali maikaʻi 0.0802	Nawaliwali maikaʻi 0.0018	Nawaliwali maikaʻi 0.0522	Nawaliwali maikaʻi 0.0157
Answer 7	-	Nawaliwali hopena maikaʻi -0.0609	Nawaliwali maikaʻi 0.1108	Nawaliwali hopena maikaʻi -0.0581	Nawaliwali hopena maikaʻi -0.0163	Nawaliwali maikaʻi 0.0088	Nawaliwali hopena maikaʻi -0.0086	Nawaliwali maikaʻi 0.0301
2) E kāohi (pehea kāu eʻae ai aʻaeʻole paha?)
Answer 8	-	Nawaliwali maikaʻi 0.0294	Nawaliwali maikaʻi 0.0183	Nawaliwali maikaʻi 0.0621	Nawaliwali maikaʻi 0.0587	Nawaliwali hopena maikaʻi -0.0183	Nawaliwali hopena maikaʻi -0.0804	Nawaliwali hopena maikaʻi -0.0552
Answer 9	-	Nawaliwali maikaʻi 0.0122	Nawaliwali hopena maikaʻi -0.0355	Nawaliwali hopena maikaʻi -0.0431	Nawaliwali maikaʻi 0.0279	Nawaliwali maikaʻi 0.0945	Nawaliwali hopena maikaʻi -0.0183	Nawaliwali hopena maikaʻi -0.0431
Answer 10	-	Nawaliwali maikaʻi 0.0270	Nawaliwali hopena maikaʻi -0.0314	Nawaliwali hopena maikaʻi -0.0423	Nawaliwali maikaʻi 0.0017	Nawaliwali hopena maikaʻi -0.0210	Nawaliwali maikaʻi 0.0558	Nawaliwali maikaʻi 0.0106
Answer 11	-	Nawaliwali maikaʻi 0.0236	Nawaliwali maikaʻi 0.0156	Nawaliwali maikaʻi 0.0212	Nawaliwali hopena maikaʻi -0.0606	Nawaliwali hopena maikaʻi -0.0180	Nawaliwali hopena maikaʻi -0.0122	Nawaliwali maikaʻi 0.0422
Answer 12	-	Nawaliwali hopena maikaʻi -0.0223	Nawaliwali maikaʻi 0.0347	Nawaliwali maikaʻi 0.0624	Nawaliwali maikaʻi 0.0355	Nawaliwali hopena maikaʻi -0.0724	Nawaliwali maikaʻi 0.0028	Nawaliwali hopena maikaʻi -0.0410
Answer 13	-	Nawaliwali hopena maikaʻi -0.1104	Nawaliwali hopena maikaʻi -0.0431	Nawaliwali hopena maikaʻi -0.0125	Nawaliwali hopena maikaʻi -0.0010	Nawaliwali maikaʻi 0.0151	Nawaliwali maikaʻi 0.0781	Nawaliwali maikaʻi 0.0298
Answer 14	-	Nawaliwali maikaʻi 0.0025	Nawaliwali maikaʻi 0.0634	Nawaliwali hopena maikaʻi -0.0318	Nawaliwali hopena maikaʻi -0.0854	Nawaliwali hopena maikaʻi -0.0199	Nawaliwali maikaʻi 0.0036	Nawaliwali maikaʻi 0.0832

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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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