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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 0.0734	Nawaliwali maikaʻi 0.0222	Nawaliwali maikaʻi 0.0930	Nawaliwali hopena maikaʻi -0.1129	Nawaliwali hopena maikaʻi -0.0082	Nawaliwali hopena maikaʻi -0.0441	Nawaliwali maikaʻi 0.0172
Answer 2	-	Nawaliwali maikaʻi 0.0176	Nawaliwali hopena maikaʻi -0.0064	Nawaliwali maikaʻi 0.0439	Nawaliwali hopena maikaʻi -0.0235	Nawaliwali maikaʻi 0.0411	Nawaliwali hopena maikaʻi -0.0037	Nawaliwali hopena maikaʻi -0.0536
Answer 3	-	Nawaliwali hopena maikaʻi -0.0237	Nawaliwali hopena maikaʻi -0.0293	Nawaliwali maikaʻi 0.0041	Nawaliwali maikaʻi 0.0580	Nawaliwali hopena maikaʻi -0.0254	Nawaliwali hopena maikaʻi -0.0131	Nawaliwali maikaʻi 0.0056
Answer 4	-	Nawaliwali maikaʻi 0.0353	Nawaliwali hopena maikaʻi -0.0020	Nawaliwali maikaʻi 0.0147	Nawaliwali hopena maikaʻi -0.0434	Nawaliwali hopena maikaʻi -0.0329	Nawaliwali hopena maikaʻi -0.0045	Nawaliwali maikaʻi 0.0461
Answer 5	-	Nawaliwali hopena maikaʻi -0.0159	Nawaliwali hopena maikaʻi -0.0257	Nawaliwali hopena maikaʻi -0.0233	Nawaliwali maikaʻi 0.0425	Nawaliwali maikaʻi 0.0329	Nawaliwali maikaʻi 0.0241	Nawaliwali hopena maikaʻi -0.0546
Answer 6	-	Nawaliwali hopena maikaʻi -0.0137	Nawaliwali hopena maikaʻi -0.0525	Nawaliwali hopena maikaʻi -0.0709	Nawaliwali maikaʻi 0.0701	Nawaliwali hopena maikaʻi -0.0147	Nawaliwali maikaʻi 0.0443	Nawaliwali maikaʻi 0.0137
Answer 7	-	Nawaliwali hopena maikaʻi -0.0651	Nawaliwali maikaʻi 0.0972	Nawaliwali hopena maikaʻi -0.0603	Nawaliwali hopena maikaʻi -0.0026	Nawaliwali maikaʻi 0.0092	Nawaliwali hopena maikaʻi -0.0026	Nawaliwali maikaʻi 0.0252
2) E kāohi (pehea kāu eʻae ai aʻaeʻole paha?)
Answer 8	-	Nawaliwali maikaʻi 0.0139	Nawaliwali maikaʻi 0.0048	Nawaliwali maikaʻi 0.0805	Nawaliwali maikaʻi 0.0622	Nawaliwali hopena maikaʻi -0.0317	Nawaliwali hopena maikaʻi -0.0783	Nawaliwali hopena maikaʻi -0.0456
Answer 9	-	Nawaliwali maikaʻi 0.0230	Nawaliwali hopena maikaʻi -0.0258	Nawaliwali hopena maikaʻi -0.0352	Nawaliwali maikaʻi 0.0274	Nawaliwali maikaʻi 0.0832	Nawaliwali hopena maikaʻi -0.0126	Nawaliwali hopena maikaʻi -0.0582
Answer 10	-	Nawaliwali maikaʻi 0.0143	Nawaliwali hopena maikaʻi -0.0423	Nawaliwali hopena maikaʻi -0.0553	Nawaliwali hopena maikaʻi -0.0195	Nawaliwali maikaʻi 0.0021	Nawaliwali maikaʻi 0.0614	Nawaliwali maikaʻi 0.0320
Answer 11	-	Nawaliwali maikaʻi 0.0256	Nawaliwali maikaʻi 0.0035	Nawaliwali maikaʻi 0.0149	Nawaliwali hopena maikaʻi -0.0597	Nawaliwali hopena maikaʻi -0.0187	Nawaliwali hopena maikaʻi -0.0176	Nawaliwali maikaʻi 0.0573
Answer 12	-	Nawaliwali hopena maikaʻi -0.0173	Nawaliwali maikaʻi 0.0347	Nawaliwali maikaʻi 0.0531	Nawaliwali maikaʻi 0.0412	Nawaliwali hopena maikaʻi -0.0701	Nawaliwali maikaʻi 0.0068	Nawaliwali hopena maikaʻi -0.0464
Answer 13	-	Nawaliwali hopena maikaʻi -0.0930	Nawaliwali hopena maikaʻi -0.0342	Nawaliwali hopena maikaʻi -0.0141	Nawaliwali maikaʻi 0.0112	Nawaliwali maikaʻi 0.0211	Nawaliwali maikaʻi 0.0739	Nawaliwali maikaʻi 0.0020
Answer 14	-	Nawaliwali maikaʻi 0.0002	Nawaliwali maikaʻi 0.0882	Nawaliwali hopena maikaʻi -0.0341	Nawaliwali hopena maikaʻi -0.0785	Nawaliwali hopena maikaʻi -0.0241	Nawaliwali hopena maikaʻi -0.0070	Nawaliwali maikaʻi 0.0777

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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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