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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 0.0682	Nawaliwali maikaʻi 0.0206	Nawaliwali maikaʻi 0.0941	Nawaliwali hopena maikaʻi -0.1169	Nawaliwali hopena maikaʻi -0.0095	Nawaliwali hopena maikaʻi -0.0471	Nawaliwali maikaʻi 0.0198
Answer 2	-	Nawaliwali maikaʻi 0.0190	Nawaliwali hopena maikaʻi -0.0033	Nawaliwali maikaʻi 0.0434	Nawaliwali hopena maikaʻi -0.0239	Nawaliwali maikaʻi 0.0392	Nawaliwali hopena maikaʻi -0.0076	Nawaliwali hopena maikaʻi -0.0554
Answer 3	-	Nawaliwali hopena maikaʻi -0.0211	Nawaliwali hopena maikaʻi -0.0261	Nawaliwali maikaʻi 0.0046	Nawaliwali maikaʻi 0.0553	Nawaliwali hopena maikaʻi -0.0241	Nawaliwali hopena maikaʻi -0.0108	Nawaliwali maikaʻi 0.0075
Answer 4	-	Nawaliwali maikaʻi 0.0347	Nawaliwali hopena maikaʻi -0.0051	Nawaliwali maikaʻi 0.0149	Nawaliwali hopena maikaʻi -0.0412	Nawaliwali hopena maikaʻi -0.0349	Nawaliwali hopena maikaʻi -0.0076	Nawaliwali maikaʻi 0.0450
Answer 5	-	Nawaliwali hopena maikaʻi -0.0083	Nawaliwali hopena maikaʻi -0.0264	Nawaliwali hopena maikaʻi -0.0230	Nawaliwali maikaʻi 0.0463	Nawaliwali maikaʻi 0.0341	Nawaliwali maikaʻi 0.0299	Nawaliwali hopena maikaʻi -0.0519
Answer 6	-	Nawaliwali hopena maikaʻi -0.0218	Nawaliwali hopena maikaʻi -0.0508	Nawaliwali hopena maikaʻi -0.0736	Nawaliwali maikaʻi 0.0705	Nawaliwali hopena maikaʻi -0.0112	Nawaliwali maikaʻi 0.0486	Nawaliwali maikaʻi 0.0122
Answer 7	-	Nawaliwali hopena maikaʻi -0.0631	Nawaliwali maikaʻi 0.0931	Nawaliwali hopena maikaʻi -0.0592	Nawaliwali hopena maikaʻi -0.0012	Nawaliwali maikaʻi 0.0085	Nawaliwali hopena maikaʻi -0.0037	Nawaliwali maikaʻi 0.0235
2) E kāohi (pehea kāu eʻae ai aʻaeʻole paha?)
Answer 8	-	Nawaliwali maikaʻi 0.0170	Nawaliwali maikaʻi 0.0053	Nawaliwali maikaʻi 0.0831	Nawaliwali maikaʻi 0.0595	Nawaliwali hopena maikaʻi -0.0336	Nawaliwali hopena maikaʻi -0.0794	Nawaliwali hopena maikaʻi -0.0462
Answer 9	-	Nawaliwali maikaʻi 0.0253	Nawaliwali hopena maikaʻi -0.0244	Nawaliwali hopena maikaʻi -0.0378	Nawaliwali maikaʻi 0.0297	Nawaliwali maikaʻi 0.0802	Nawaliwali hopena maikaʻi -0.0117	Nawaliwali hopena maikaʻi -0.0565
Answer 10	-	Nawaliwali maikaʻi 0.0050	Nawaliwali hopena maikaʻi -0.0381	Nawaliwali hopena maikaʻi -0.0535	Nawaliwali hopena maikaʻi -0.0207	Nawaliwali maikaʻi 0.0068	Nawaliwali maikaʻi 0.0608	Nawaliwali maikaʻi 0.0303
Answer 11	-	Nawaliwali maikaʻi 0.0240	Nawaliwali maikaʻi 0.0019	Nawaliwali maikaʻi 0.0128	Nawaliwali hopena maikaʻi -0.0592	Nawaliwali hopena maikaʻi -0.0172	Nawaliwali hopena maikaʻi -0.0139	Nawaliwali maikaʻi 0.0554
Answer 12	-	Nawaliwali hopena maikaʻi -0.0078	Nawaliwali maikaʻi 0.0331	Nawaliwali maikaʻi 0.0523	Nawaliwali maikaʻi 0.0403	Nawaliwali hopena maikaʻi -0.0665	Nawaliwali maikaʻi 0.0086	Nawaliwali hopena maikaʻi -0.0435
Answer 13	-	Nawaliwali hopena maikaʻi -0.0941	Nawaliwali hopena maikaʻi -0.0349	Nawaliwali hopena maikaʻi -0.0132	Nawaliwali maikaʻi 0.0111	Nawaliwali maikaʻi 0.0173	Nawaliwali maikaʻi 0.0730	Nawaliwali maikaʻi 0.0037
Answer 14	-	Nawaliwali maikaʻi 0.0003	Nawaliwali maikaʻi 0.0835	Nawaliwali hopena maikaʻi -0.0344	Nawaliwali hopena maikaʻi -0.0762	Nawaliwali hopena maikaʻi -0.0242	Nawaliwali hopena maikaʻi -0.0104	Nawaliwali maikaʻi 0.0768

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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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