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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 = 0.0723

ʻO ka māhele maʻamauʻole, e ka'ōlelo r = 0.0029

Hōʻike i nā hopena wale nō > r = 0.0723

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 0.0643	Nawaliwali maikaʻi 0.0187	Nawaliwali maikaʻi 0.0956	Nawaliwali hopena maikaʻi -0.1202	Nawaliwali hopena maikaʻi -0.0005	Nawaliwali hopena maikaʻi -0.0499	Nawaliwali maikaʻi 0.0193
Answer 2	-	Nawaliwali maikaʻi 0.0151	Nawaliwali hopena maikaʻi -0.0051	Nawaliwali maikaʻi 0.0441	Nawaliwali hopena maikaʻi -0.0253	Nawaliwali maikaʻi 0.0350	Nawaliwali hopena maikaʻi -0.0038	Nawaliwali hopena maikaʻi -0.0503
Answer 3	-	Nawaliwali hopena maikaʻi -0.0220	Nawaliwali hopena maikaʻi -0.0216	Nawaliwali maikaʻi 0.0115	Nawaliwali maikaʻi 0.0603	Nawaliwali hopena maikaʻi -0.0284	Nawaliwali hopena maikaʻi -0.0143	Nawaliwali maikaʻi 0.0013
Answer 4	-	Nawaliwali maikaʻi 0.0293	Nawaliwali hopena maikaʻi -0.0083	Nawaliwali maikaʻi 0.0101	Nawaliwali hopena maikaʻi -0.0467	Nawaliwali hopena maikaʻi -0.0320	Nawaliwali maikaʻi 0.0006	Nawaliwali maikaʻi 0.0502
Answer 5	-	Nawaliwali hopena maikaʻi -0.0072	Nawaliwali hopena maikaʻi -0.0246	Nawaliwali hopena maikaʻi -0.0240	Nawaliwali maikaʻi 0.0477	Nawaliwali maikaʻi 0.0335	Nawaliwali maikaʻi 0.0284	Nawaliwali hopena maikaʻi -0.0527
Answer 6	-	Nawaliwali hopena maikaʻi -0.0121	Nawaliwali hopena maikaʻi -0.0537	Nawaliwali hopena maikaʻi -0.0769	Nawaliwali maikaʻi 0.0657	Nawaliwali hopena maikaʻi -0.0086	Nawaliwali maikaʻi 0.0466	Nawaliwali maikaʻi 0.0152
Answer 7	-	Nawaliwali hopena maikaʻi -0.0591	Nawaliwali maikaʻi 0.0965	Nawaliwali hopena maikaʻi -0.0600	Nawaliwali maikaʻi 0.0071	Nawaliwali maikaʻi 0.0060	Nawaliwali hopena maikaʻi -0.0071	Nawaliwali maikaʻi 0.0168
2) E kāohi (pehea kāu eʻae ai aʻaeʻole paha?)
Answer 8	-	Nawaliwali maikaʻi 0.0132	Nawaliwali maikaʻi 0.0035	Nawaliwali maikaʻi 0.0801	Nawaliwali maikaʻi 0.0543	Nawaliwali hopena maikaʻi -0.0260	Nawaliwali hopena maikaʻi -0.0781	Nawaliwali hopena maikaʻi -0.0439
Answer 9	-	Nawaliwali maikaʻi 0.0242	Nawaliwali hopena maikaʻi -0.0234	Nawaliwali hopena maikaʻi -0.0420	Nawaliwali maikaʻi 0.0280	Nawaliwali maikaʻi 0.0824	Nawaliwali hopena maikaʻi -0.0099	Nawaliwali hopena maikaʻi -0.0551
Answer 10	-	Nawaliwali maikaʻi 0.0165	Nawaliwali hopena maikaʻi -0.0378	Nawaliwali hopena maikaʻi -0.0547	Nawaliwali hopena maikaʻi -0.0176	Nawaliwali maikaʻi 0.0019	Nawaliwali maikaʻi 0.0566	Nawaliwali maikaʻi 0.0289
Answer 11	-	Nawaliwali maikaʻi 0.0146	Nawaliwali maikaʻi 3.46E-5	Nawaliwali maikaʻi 0.0290	Nawaliwali hopena maikaʻi -0.0583	Nawaliwali hopena maikaʻi -0.0296	Nawaliwali hopena maikaʻi -0.0094	Nawaliwali maikaʻi 0.0558
Answer 12	-	Nawaliwali hopena maikaʻi -0.0069	Nawaliwali maikaʻi 0.0343	Nawaliwali maikaʻi 0.0508	Nawaliwali maikaʻi 0.0414	Nawaliwali hopena maikaʻi -0.0658	Nawaliwali maikaʻi 0.0075	Nawaliwali hopena maikaʻi -0.0442
Answer 13	-	Nawaliwali hopena maikaʻi -0.0955	Nawaliwali hopena maikaʻi -0.0364	Nawaliwali hopena maikaʻi -0.0180	Nawaliwali maikaʻi 0.0054	Nawaliwali maikaʻi 0.0261	Nawaliwali maikaʻi 0.0732	Nawaliwali maikaʻi 0.0073
Answer 14	-	Nawaliwali maikaʻi 0.0035	Nawaliwali maikaʻi 0.0867	Nawaliwali hopena maikaʻi -0.0352	Nawaliwali hopena maikaʻi -0.0661	Nawaliwali hopena maikaʻi -0.0264	Nawaliwali hopena maikaʻi -0.0137	Nawaliwali maikaʻi 0.0689

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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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