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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 = 0.0846

ʻO ka māhele maʻamauʻole, e ka'ōlelo r = 0.0037

Hōʻike i nā hopena wale nō > r = 0.0846

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 0.0570	Nawaliwali hopena maikaʻi -0.0377	Nawaliwali maikaʻi 0.1017	Nawaliwali hopena maikaʻi -0.1119	Nawaliwali maikaʻi 0.0292	Nawaliwali hopena maikaʻi -0.0507	Nawaliwali maikaʻi 0.0269
Answer 2	-	Nawaliwali maikaʻi 0.0374	Nawaliwali maikaʻi 0.0229	Nawaliwali maikaʻi 0.0456	Nawaliwali hopena maikaʻi -0.0045	Nawaliwali maikaʻi 0.0068	Nawaliwali hopena maikaʻi -0.0070	Nawaliwali hopena maikaʻi -0.0697
Answer 3	-	Nawaliwali hopena maikaʻi -0.0192	Nawaliwali hopena maikaʻi -0.0343	Nawaliwali maikaʻi 0.0021	Nawaliwali maikaʻi 0.0597	Nawaliwali hopena maikaʻi -0.0124	Nawaliwali hopena maikaʻi -0.0068	Nawaliwali hopena maikaʻi -0.0126
Answer 4	-	Nawaliwali maikaʻi 0.0115	Nawaliwali maikaʻi 0.0310	Nawaliwali maikaʻi 0.0224	Nawaliwali hopena maikaʻi -0.0166	Nawaliwali hopena maikaʻi -0.0600	Nawaliwali hopena maikaʻi -0.0258	Nawaliwali maikaʻi 0.0488
Answer 5	-	Nawaliwali maikaʻi 0.0209	Nawaliwali hopena maikaʻi -0.0161	Nawaliwali hopena maikaʻi -0.0244	Nawaliwali maikaʻi 0.0113	Nawaliwali maikaʻi 0.0113	Nawaliwali maikaʻi 0.0306	Nawaliwali hopena maikaʻi -0.0414
Answer 6	-	Nawaliwali hopena maikaʻi -0.0462	Nawaliwali hopena maikaʻi -0.0515	Nawaliwali hopena maikaʻi -0.0994	Nawaliwali maikaʻi 0.0833	Nawaliwali maikaʻi 0.0152	Nawaliwali maikaʻi 0.0467	Nawaliwali maikaʻi 0.0169
Answer 7	-	Nawaliwali hopena maikaʻi -0.0516	Nawaliwali maikaʻi 0.0780	Nawaliwali hopena maikaʻi -0.0446	Nawaliwali hopena maikaʻi -0.0453	Nawaliwali maikaʻi 0.0181	Nawaliwali maikaʻi 0.0138	Nawaliwali maikaʻi 0.0386
2) E kāohi (pehea kāu eʻae ai aʻaeʻole paha?)
Answer 8	-	Nawaliwali maikaʻi 0.0157	Nawaliwali maikaʻi 0.0320	Nawaliwali maikaʻi 0.0753	Nawaliwali maikaʻi 0.0752	Nawaliwali hopena maikaʻi -0.0109	Nawaliwali hopena maikaʻi -0.1067	Nawaliwali hopena maikaʻi -0.0702
Answer 9	-	Nawaliwali maikaʻi 0.0203	Nawaliwali hopena maikaʻi -0.0441	Nawaliwali hopena maikaʻi -0.0353	Nawaliwali maikaʻi 0.0010	Nawaliwali maikaʻi 0.0823	Nawaliwali hopena maikaʻi -0.0173	Nawaliwali hopena maikaʻi -0.0131
Answer 10	-	Nawaliwali maikaʻi 0.0554	Nawaliwali hopena maikaʻi -0.0259	Nawaliwali hopena maikaʻi -0.0192	Nawaliwali hopena maikaʻi -0.0221	Nawaliwali hopena maikaʻi -0.0365	Nawaliwali maikaʻi 0.0248	Nawaliwali maikaʻi 0.0335
Answer 11	-	Nawaliwali maikaʻi 0.0219	Nawaliwali maikaʻi 0.0052	Nawaliwali maikaʻi 0.0038	Nawaliwali hopena maikaʻi -0.0402	Nawaliwali maikaʻi 0.0002	Nawaliwali hopena maikaʻi -0.0141	Nawaliwali maikaʻi 0.0318
Answer 12	-	Nawaliwali hopena maikaʻi -0.0506	Nawaliwali maikaʻi 0.0363	Nawaliwali maikaʻi 0.0292	Nawaliwali maikaʻi 0.0542	Nawaliwali hopena maikaʻi -0.0687	Nawaliwali maikaʻi 0.0413	Nawaliwali hopena maikaʻi -0.0523
Answer 13	-	Nawaliwali hopena maikaʻi -0.1082	Nawaliwali hopena maikaʻi -0.0387	Nawaliwali hopena maikaʻi -0.0090	Nawaliwali maikaʻi 0.0258	Nawaliwali hopena maikaʻi -0.0102	Nawaliwali maikaʻi 0.0896	Nawaliwali maikaʻi 0.0111
Answer 14	-	Nawaliwali hopena maikaʻi -0.0027	Nawaliwali maikaʻi 0.0573	Nawaliwali hopena maikaʻi -0.0550	Nawaliwali hopena maikaʻi -0.1102	Nawaliwali maikaʻi 0.0135	Nawaliwali maikaʻi 0.0416	Nawaliwali maikaʻi 0.0747

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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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