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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 = 0.0738

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

Hōʻike i nā hopena wale nō > r = 0.0738

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 0.0665	Nawaliwali maikaʻi 0.0199	Nawaliwali maikaʻi 0.0974	Nawaliwali hopena maikaʻi -0.1165	Nawaliwali hopena maikaʻi -0.0082	Nawaliwali hopena maikaʻi -0.0475	Nawaliwali maikaʻi 0.0169
Answer 2	-	Nawaliwali maikaʻi 0.0223	Nawaliwali hopena maikaʻi -0.0030	Nawaliwali maikaʻi 0.0416	Nawaliwali hopena maikaʻi -0.0233	Nawaliwali maikaʻi 0.0524	Nawaliwali hopena maikaʻi -0.0085	Nawaliwali hopena maikaʻi -0.0679
Answer 3	-	Nawaliwali hopena maikaʻi -0.0239	Nawaliwali hopena maikaʻi -0.0307	Nawaliwali maikaʻi 0.0012	Nawaliwali maikaʻi 0.0521	Nawaliwali hopena maikaʻi -0.0192	Nawaliwali hopena maikaʻi -0.0046	Nawaliwali maikaʻi 0.0093
Answer 4	-	Nawaliwali maikaʻi 0.0286	Nawaliwali hopena maikaʻi -0.0104	Nawaliwali maikaʻi 0.0071	Nawaliwali hopena maikaʻi -0.0331	Nawaliwali hopena maikaʻi -0.0376	Nawaliwali hopena maikaʻi -0.0135	Nawaliwali maikaʻi 0.0592
Answer 5	-	Nawaliwali hopena maikaʻi -0.0042	Nawaliwali hopena maikaʻi -0.0183	Nawaliwali hopena maikaʻi -0.0107	Nawaliwali maikaʻi 0.0474	Nawaliwali maikaʻi 0.0180	Nawaliwali maikaʻi 0.0299	Nawaliwali hopena maikaʻi -0.0574
Answer 6	-	Nawaliwali hopena maikaʻi -0.0219	Nawaliwali hopena maikaʻi -0.0546	Nawaliwali hopena maikaʻi -0.0725	Nawaliwali maikaʻi 0.0718	Nawaliwali hopena maikaʻi -0.0110	Nawaliwali maikaʻi 0.0471	Nawaliwali maikaʻi 0.0135
Answer 7	-	Nawaliwali hopena maikaʻi -0.0598	Nawaliwali maikaʻi 0.1017	Nawaliwali hopena maikaʻi -0.0598	Nawaliwali hopena maikaʻi -0.0076	Nawaliwali maikaʻi 0.0021	Nawaliwali hopena maikaʻi -0.0008	Nawaliwali maikaʻi 0.0260
2) E kāohi (pehea kāu eʻae ai aʻaeʻole paha?)
Answer 8	-	Nawaliwali maikaʻi 0.0230	Nawaliwali maikaʻi 0.0123	Nawaliwali maikaʻi 0.0764	Nawaliwali maikaʻi 0.0520	Nawaliwali hopena maikaʻi -0.0236	Nawaliwali hopena maikaʻi -0.0710	Nawaliwali hopena maikaʻi -0.0567
Answer 9	-	Nawaliwali maikaʻi 0.0172	Nawaliwali hopena maikaʻi -0.0284	Nawaliwali hopena maikaʻi -0.0452	Nawaliwali maikaʻi 0.0298	Nawaliwali maikaʻi 0.0926	Nawaliwali hopena maikaʻi -0.0209	Nawaliwali hopena maikaʻi -0.0460
Answer 10	-	Nawaliwali maikaʻi 0.0042	Nawaliwali hopena maikaʻi -0.0385	Nawaliwali hopena maikaʻi -0.0527	Nawaliwali hopena maikaʻi -0.0063	Nawaliwali hopena maikaʻi -0.0020	Nawaliwali maikaʻi 0.0584	Nawaliwali maikaʻi 0.0263
Answer 11	-	Nawaliwali maikaʻi 0.0213	Nawaliwali maikaʻi 0.0009	Nawaliwali maikaʻi 0.0154	Nawaliwali hopena maikaʻi -0.0573	Nawaliwali hopena maikaʻi -0.0159	Nawaliwali hopena maikaʻi -0.0140	Nawaliwali maikaʻi 0.0526
Answer 12	-	Nawaliwali hopena maikaʻi -0.0047	Nawaliwali maikaʻi 0.0302	Nawaliwali maikaʻi 0.0598	Nawaliwali maikaʻi 0.0340	Nawaliwali hopena maikaʻi -0.0746	Nawaliwali maikaʻi 0.0113	Nawaliwali hopena maikaʻi -0.0396
Answer 13	-	Nawaliwali hopena maikaʻi -0.0905	Nawaliwali hopena maikaʻi -0.0406	Nawaliwali hopena maikaʻi -0.0079	Nawaliwali maikaʻi 0.0019	Nawaliwali maikaʻi 0.0113	Nawaliwali maikaʻi 0.0741	Nawaliwali maikaʻi 0.0134
Answer 14	-	Nawaliwali maikaʻi 0.0017	Nawaliwali maikaʻi 0.0875	Nawaliwali hopena maikaʻi -0.0295	Nawaliwali hopena maikaʻi -0.0716	Nawaliwali hopena maikaʻi -0.0326	Nawaliwali hopena maikaʻi -0.0085	Nawaliwali maikaʻi 0.0707

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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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