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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.

Hankali da kuma ƙarshen wayewar kai

Charts Hulda

VUCA

M darajar da hulda coefficient

Rarraba al'ada, ta William Gubetes (Dalibi) r = 0.0763

Rarraba ba rarraba ba, da Spearman r = 0.0031

Nuna kawai sakamako > r = 0.0763

Rarrabuwa	Da ba al'ada ba	Na al'ada	Da ba al'ada ba	Na al'ada	Na al'ada	Na al'ada	Na al'ada	Na al'ada
Duk Tambayoyi Duk Tambayoyi 1) Aminci (nawa kuka yarda ko ba da yarda ba?) 2) Gudanarwa (nawa ne ka yarda ko ba da yarda ba?)
1) Aminci (nawa kuka yarda ko ba da yarda ba?)
Answer 1	-	Rauni kyau 0.0713	Rauni korau -0.0025	Rauni kyau 0.1106	Rauni korau -0.0997	Rauni korau -0.0087	Rauni korau -0.0586	Rauni kyau 0.0113
Answer 2	-	Rauni kyau 0.0287	Rauni kyau 0.0022	Rauni kyau 0.0402	Rauni korau -0.0306	Rauni kyau 0.0441	Rauni korau -0.0024	Rauni korau -0.0654
Answer 3	-	Rauni korau -0.0141	Rauni korau -0.0475	Rauni korau -0.0065	Rauni kyau 0.0452	Rauni korau -0.0095	Rauni korau -0.0050	Rauni kyau 0.0188
Answer 4	-	Rauni kyau 0.0171	Rauni kyau 0.0062	Rauni kyau 0.0186	Rauni korau -0.0391	Rauni korau -0.0327	Rauni korau -0.0145	Rauni kyau 0.0485
Answer 5	-	Rauni kyau 0.0046	Rauni korau -0.0106	Rauni korau -0.0187	Rauni kyau 0.0501	Rauni korau -0.0010	Rauni kyau 0.0358	Rauni korau -0.0517
Answer 2	-	Rauni korau -0.0396	Rauni korau -0.0579	Rauni korau -0.0839	Rauni kyau 0.0797	Rauni korau -0.0012	Rauni kyau 0.0544	Rauni kyau 0.0142
Answer 6	-	Rauni korau -0.0588	Rauni kyau 0.1109	Rauni korau -0.0537	Rauni korau -0.0085	Rauni kyau 0.0010	Rauni korau -0.0088	Rauni kyau 0.0224
2) Gudanarwa (nawa ne ka yarda ko ba da yarda ba?)
Answer 7	-	Rauni kyau 0.0286	Rauni kyau 0.0178	Rauni kyau 0.0623	Rauni kyau 0.0555	Rauni korau -0.0186	Rauni korau -0.0752	Rauni korau -0.0557
Answer 8	-	Rauni kyau 0.0081	Rauni korau -0.0268	Rauni korau -0.0412	Rauni kyau 0.0315	Rauni kyau 0.0850	Rauni korau -0.0166	Rauni korau -0.0447
Answer 9	-	Rauni kyau 0.0182	Rauni korau -0.0315	Rauni korau -0.0396	Rauni korau -0.0029	Rauni korau -0.0138	Rauni kyau 0.0488	Rauni kyau 0.0174
Answer 10	-	Rauni kyau 0.0325	Rauni kyau 0.0109	Rauni kyau 0.0134	Rauni korau -0.0619	Rauni korau -0.0103	Rauni korau -0.0140	Rauni kyau 0.0404
Answer 11	-	Rauni korau -0.0129	Rauni kyau 0.0328	Rauni kyau 0.0613	Rauni kyau 0.0346	Rauni korau -0.0700	Rauni kyau 0.0059	Rauni korau -0.0380
Answer 8	-	Rauni korau -0.1120	Rauni korau -0.0454	Rauni korau -0.0095	Rauni kyau 0.0026	Rauni kyau 0.0106	Rauni kyau 0.0788	Rauni kyau 0.0272
Answer 12	-	Rauni kyau 0.0047	Rauni kyau 0.0614	Rauni korau -0.0311	Rauni korau -0.0810	Rauni korau -0.0221	Rauni kyau 0.0015	Rauni kyau 0.0793

Aika zuwa MS Excel

Wannan aikin zai kasance a cikin zaben VUCA

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

2023.11.27

Valerii Kosenko

Samfurin Samfurin Saas Parfult Sdtest®

Valerii ya cancanci a matsayin mai ilimin halin dan Adam a 1993 kuma tun bayan da saninsa a aikin aikin.
Valeridi ya samu digiri na biyu da kuma aikin da kuma cancantar shirin Attap (a lokacin shirin maigidansa, ya zama sananne game da hanyar maigidansa, ya zama sananne game da hanyar maigidansa, ya zama sananne game da hanyar maigidansa, ya zama sananne game da hanyar maigidansa, ya zama sananne game da hanyar maigidansa, ya zama sananne game da hanyar maigidansa, ya zama sananne ga aikin ubangijinsa, ya zama sananne ga aikin ubangijinsa, ya zama sananne game da hanyar maigidansa, ya zama sananne game da hanyar maigidansa, ya zama sananne game da hanyar maigidansa, ya zama sananne game da hanyar maigidansa, ya zama sananne game da hanyar maigidansa, ya zama sananne ga aikin ubangijinsa, ya zama kamar yadda Fattifrschaft Für projechtmanageel e.
Valeridi ya dauki hanyoyi daban-daban na kifaye da kuma amfani da iliminsa da gogewa don daidaita da sigar SDTest.
Valeria shine marubucin binciken rashin tabbas game da V.U.C.C. Tunani na amfani da Kewaye na Kuranni da ƙididdiga na lissafi a cikin ilimin halin mutumci, sama da zaben ƙasa da ƙasa da ƙasa da ƙasa.

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