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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 = 0.0727

ʻO ka māhele maʻamauʻole, e ka'ōlelo r = 0.003

Hōʻike i nā hopena wale nō > r = 0.0727

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 0.0666	Nawaliwali maikaʻi 0.0209	Nawaliwali maikaʻi 0.0941	Nawaliwali hopena maikaʻi -0.1169	Nawaliwali hopena maikaʻi -0.0089	Nawaliwali hopena maikaʻi -0.0469	Nawaliwali maikaʻi 0.0197
Answer 2	-	Nawaliwali maikaʻi 0.0169	Nawaliwali hopena maikaʻi -0.0027	Nawaliwali maikaʻi 0.0434	Nawaliwali hopena maikaʻi -0.0239	Nawaliwali maikaʻi 0.0400	Nawaliwali hopena maikaʻi -0.0073	Nawaliwali hopena maikaʻi -0.0555
Answer 3	-	Nawaliwali hopena maikaʻi -0.0228	Nawaliwali hopena maikaʻi -0.0256	Nawaliwali maikaʻi 0.0045	Nawaliwali maikaʻi 0.0553	Nawaliwali hopena maikaʻi -0.0232	Nawaliwali hopena maikaʻi -0.0105	Nawaliwali maikaʻi 0.0074
Answer 4	-	Nawaliwali maikaʻi 0.0329	Nawaliwali hopena maikaʻi -0.0047	Nawaliwali maikaʻi 0.0149	Nawaliwali hopena maikaʻi -0.0412	Nawaliwali hopena maikaʻi -0.0342	Nawaliwali hopena maikaʻi -0.0074	Nawaliwali maikaʻi 0.0449
Answer 5	-	Nawaliwali hopena maikaʻi -0.0094	Nawaliwali hopena maikaʻi -0.0261	Nawaliwali hopena maikaʻi -0.0230	Nawaliwali maikaʻi 0.0463	Nawaliwali maikaʻi 0.0346	Nawaliwali maikaʻi 0.0300	Nawaliwali hopena maikaʻi -0.0519
Answer 6	-	Nawaliwali hopena maikaʻi -0.0118	Nawaliwali hopena maikaʻi -0.0530	Nawaliwali hopena maikaʻi -0.0733	Nawaliwali maikaʻi 0.0702	Nawaliwali hopena maikaʻi -0.0155	Nawaliwali maikaʻi 0.0470	Nawaliwali maikaʻi 0.0129
Answer 7	-	Nawaliwali hopena maikaʻi -0.0643	Nawaliwali maikaʻi 0.0935	Nawaliwali hopena maikaʻi -0.0592	Nawaliwali hopena maikaʻi -0.0012	Nawaliwali maikaʻi 0.0092	Nawaliwali hopena maikaʻi -0.0034	Nawaliwali maikaʻi 0.0233
2) E kāohi (pehea kāu eʻae ai aʻaeʻole paha?)
Answer 8	-	Nawaliwali maikaʻi 0.0149	Nawaliwali maikaʻi 0.0058	Nawaliwali maikaʻi 0.0830	Nawaliwali maikaʻi 0.0595	Nawaliwali hopena maikaʻi -0.0326	Nawaliwali hopena maikaʻi -0.0791	Nawaliwali hopena maikaʻi -0.0463
Answer 9	-	Nawaliwali maikaʻi 0.0229	Nawaliwali hopena maikaʻi -0.0238	Nawaliwali hopena maikaʻi -0.0378	Nawaliwali maikaʻi 0.0297	Nawaliwali maikaʻi 0.0811	Nawaliwali hopena maikaʻi -0.0113	Nawaliwali hopena maikaʻi -0.0566
Answer 10	-	Nawaliwali maikaʻi 0.0132	Nawaliwali hopena maikaʻi -0.0401	Nawaliwali hopena maikaʻi -0.0533	Nawaliwali hopena maikaʻi -0.0207	Nawaliwali maikaʻi 0.0031	Nawaliwali maikaʻi 0.0593	Nawaliwali maikaʻi 0.0308
Answer 11	-	Nawaliwali maikaʻi 0.0224	Nawaliwali maikaʻi 0.0023	Nawaliwali maikaʻi 0.0128	Nawaliwali hopena maikaʻi -0.0592	Nawaliwali hopena maikaʻi -0.0166	Nawaliwali hopena maikaʻi -0.0136	Nawaliwali maikaʻi 0.0552
Answer 12	-	Nawaliwali hopena maikaʻi -0.0087	Nawaliwali maikaʻi 0.0333	Nawaliwali maikaʻi 0.0523	Nawaliwali maikaʻi 0.0403	Nawaliwali hopena maikaʻi -0.0660	Nawaliwali maikaʻi 0.0087	Nawaliwali hopena maikaʻi -0.0436
Answer 13	-	Nawaliwali hopena maikaʻi -0.0947	Nawaliwali hopena maikaʻi -0.0346	Nawaliwali hopena maikaʻi -0.0132	Nawaliwali maikaʻi 0.0111	Nawaliwali maikaʻi 0.0178	Nawaliwali maikaʻi 0.0731	Nawaliwali maikaʻi 0.0036
Answer 14	-	Nawaliwali hopena maikaʻi -0.0009	Nawaliwali maikaʻi 0.0838	Nawaliwali hopena maikaʻi -0.0344	Nawaliwali hopena maikaʻi -0.0762	Nawaliwali hopena maikaʻi -0.0236	Nawaliwali hopena maikaʻi -0.0102	Nawaliwali maikaʻi 0.0767

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[1] https://www.ft.com/content/b2928076-5c52-43e9-8872-08fda2aa2fcf

2023.11.27

Valerii Kosenko

Mea nona ka huahana SaaS SDTEST®

Ua kūpono ʻo Valerii ma ke ʻano he kanaka aʻoaʻo-psychologist ma 1993 a ua hoʻohana ʻo ia i kona ʻike i ka hoʻokele papahana.
Ua loaʻa iā Valerii ke kēkelē laeoʻo a me ka hōʻailona papahana a me ka manakia papahana ma 2013. I ka wā o kāna papahana Master, ua kamaʻāina ʻo ia me Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) a me Spiral Dynamics.
ʻO Valerii ka mea kākau o ka ʻimi ʻana i ka maopopo ʻole o ka V.U.C.A. manaʻo e hoʻohana ana i ka Spiral Dynamics a me ka helu makemakika i loko o ka psychology, a me 38 mau koho balota.

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