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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 = 0.0874

ʻO ka māhele maʻamauʻole, e ka'ōlelo r = 0.0039

Hōʻike i nā hopena wale nō > r = 0.0874

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 0.0647	Nawaliwali hopena maikaʻi -0.0402	Nawaliwali maikaʻi 0.1238	Nawaliwali hopena maikaʻi -0.1305	Nawaliwali maikaʻi 0.0097	Nawaliwali hopena maikaʻi -0.0535	Nawaliwali maikaʻi 0.0344
Answer 2	-	Nawaliwali maikaʻi 0.0497	Nawaliwali maikaʻi 0.0373	Nawaliwali maikaʻi 0.0295	Nawaliwali hopena maikaʻi -0.0054	Nawaliwali hopena maikaʻi -0.0046	Nawaliwali hopena maikaʻi -0.0176	Nawaliwali hopena maikaʻi -0.0596
Answer 3	-	Nawaliwali hopena maikaʻi -0.0307	Nawaliwali hopena maikaʻi -0.0330	Nawaliwali maikaʻi 0.0063	Nawaliwali maikaʻi 0.0822	Nawaliwali hopena maikaʻi -0.0127	Nawaliwali hopena maikaʻi -0.0159	Nawaliwali hopena maikaʻi -0.0149
Answer 4	-	Nawaliwali hopena maikaʻi -0.0069	Nawaliwali maikaʻi 0.0432	Nawaliwali maikaʻi 0.0293	Nawaliwali hopena maikaʻi -0.0238	Nawaliwali hopena maikaʻi -0.0470	Nawaliwali hopena maikaʻi -0.0193	Nawaliwali maikaʻi 0.0315
Answer 5	-	Nawaliwali maikaʻi 0.0069	Nawaliwali hopena maikaʻi -0.0237	Nawaliwali hopena maikaʻi -0.0152	Nawaliwali maikaʻi 0.0131	Nawaliwali hopena maikaʻi -0.0018	Nawaliwali maikaʻi 0.0608	Nawaliwali hopena maikaʻi -0.0308
Answer 6	-	Nawaliwali hopena maikaʻi -0.0388	Nawaliwali hopena maikaʻi -0.0576	Nawaliwali hopena maikaʻi -0.1067	Nawaliwali maikaʻi 0.0816	Nawaliwali maikaʻi 0.0191	Nawaliwali maikaʻi 0.0491	Nawaliwali maikaʻi 0.0162
Answer 7	-	Nawaliwali hopena maikaʻi -0.0360	Nawaliwali maikaʻi 0.0619	Nawaliwali hopena maikaʻi -0.0510	Nawaliwali hopena maikaʻi -0.0486	Nawaliwali maikaʻi 0.0403	Nawaliwali maikaʻi 0.0061	Nawaliwali maikaʻi 0.0322
2) E kāohi (pehea kāu eʻae ai aʻaeʻole paha?)
Answer 8	-	Nawaliwali maikaʻi 0.0254	Nawaliwali maikaʻi 0.0424	Nawaliwali maikaʻi 0.1084	Nawaliwali maikaʻi 0.0601	Nawaliwali hopena maikaʻi -0.0356	Nawaliwali hopena maikaʻi -0.1149	Nawaliwali hopena maikaʻi -0.0695
Answer 9	-	Nawaliwali maikaʻi 0.0118	Nawaliwali hopena maikaʻi -0.0446	Nawaliwali hopena maikaʻi -0.0559	Nawaliwali maikaʻi 0.0325	Nawaliwali maikaʻi 0.0961	Nawaliwali hopena maikaʻi -0.0228	Nawaliwali hopena maikaʻi -0.0252
Answer 10	-	Nawaliwali maikaʻi 0.0535	Nawaliwali hopena maikaʻi -0.0376	Nawaliwali hopena maikaʻi -0.0089	Nawaliwali hopena maikaʻi -0.0281	Nawaliwali hopena maikaʻi -0.0308	Nawaliwali maikaʻi 0.0262	Nawaliwali maikaʻi 0.0309
Answer 11	-	Nawaliwali maikaʻi 0.0157	Nawaliwali maikaʻi 0.0103	Nawaliwali hopena maikaʻi -0.0089	Nawaliwali hopena maikaʻi -0.0482	Nawaliwali maikaʻi 0.0039	Nawaliwali maikaʻi 0.0010	Nawaliwali maikaʻi 0.0318
Answer 12	-	Nawaliwali hopena maikaʻi -0.0377	Nawaliwali maikaʻi 0.0444	Nawaliwali maikaʻi 0.0304	Nawaliwali maikaʻi 0.0435	Nawaliwali hopena maikaʻi -0.0755	Nawaliwali maikaʻi 0.0475	Nawaliwali hopena maikaʻi -0.0432
Answer 13	-	Nawaliwali hopena maikaʻi -0.1232	Nawaliwali hopena maikaʻi -0.0353	Nawaliwali hopena maikaʻi -0.0230	Nawaliwali maikaʻi 0.0330	Nawaliwali hopena maikaʻi -0.0105	Nawaliwali maikaʻi 0.0883	Nawaliwali maikaʻi 0.0191
Answer 14	-	Nawaliwali maikaʻi 0.0124	Nawaliwali maikaʻi 0.0425	Nawaliwali hopena maikaʻi -0.0572	Nawaliwali hopena maikaʻi -0.1125	Nawaliwali maikaʻi 0.0256	Nawaliwali maikaʻi 0.0326	Nawaliwali maikaʻi 0.0763

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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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