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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 0.0709	Rauni korau -0.0028	Rauni kyau 0.1106	Rauni korau -0.0994	Rauni korau -0.0085	Rauni korau -0.0583	Rauni kyau 0.0110
Answer 2	-	Rauni kyau 0.0280	Rauni kyau 0.0016	Rauni kyau 0.0403	Rauni korau -0.0300	Rauni kyau 0.0444	Rauni korau -0.0020	Rauni korau -0.0658
Answer 3	-	Rauni korau -0.0147	Rauni korau -0.0480	Rauni korau -0.0065	Rauni kyau 0.0458	Rauni korau -0.0093	Rauni korau -0.0046	Rauni kyau 0.0184
Answer 4	-	Rauni kyau 0.0166	Rauni kyau 0.0057	Rauni kyau 0.0186	Rauni korau -0.0386	Rauni korau -0.0325	Rauni korau -0.0142	Rauni kyau 0.0482
Answer 5	-	Rauni kyau 0.0043	Rauni korau -0.0109	Rauni korau -0.0187	Rauni kyau 0.0505	Rauni korau -0.0008	Rauni kyau 0.0361	Rauni korau -0.0520
Answer 2	-	Rauni korau -0.0401	Rauni korau -0.0583	Rauni korau -0.0839	Rauni kyau 0.0803	Rauni korau -0.0010	Rauni kyau 0.0548	Rauni kyau 0.0139
Answer 6	-	Rauni korau -0.0560	Rauni kyau 0.1141	Rauni korau -0.0539	Rauni korau -0.0116	Rauni korau -0.0001	Rauni korau -0.0108	Rauni kyau 0.0246
2) Gudanarwa (nawa ne ka yarda ko ba da yarda ba?)
Answer 7	-	Rauni kyau 0.0279	Rauni kyau 0.0172	Rauni kyau 0.0623	Rauni kyau 0.0562	Rauni korau -0.0184	Rauni korau -0.0748	Rauni korau -0.0562
Answer 8	-	Rauni kyau 0.0074	Rauni korau -0.0274	Rauni korau -0.0412	Rauni kyau 0.0323	Rauni kyau 0.0853	Rauni korau -0.0162	Rauni korau -0.0452
Answer 9	-	Rauni kyau 0.0176	Rauni korau -0.0320	Rauni korau -0.0396	Rauni korau -0.0023	Rauni korau -0.0136	Rauni kyau 0.0492	Rauni kyau 0.0170
Answer 10	-	Rauni kyau 0.0321	Rauni kyau 0.0105	Rauni kyau 0.0134	Rauni korau -0.0615	Rauni korau -0.0101	Rauni korau -0.0137	Rauni kyau 0.0401
Answer 11	-	Rauni korau -0.0132	Rauni kyau 0.0326	Rauni kyau 0.0613	Rauni kyau 0.0349	Rauni korau -0.0699	Rauni kyau 0.0061	Rauni korau -0.0382
Answer 8	-	Rauni korau -0.1088	Rauni korau -0.0423	Rauni korau -0.0096	Rauni korau -0.0013	Rauni kyau 0.0092	Rauni kyau 0.0769	Rauni kyau 0.0302
Answer 12	-	Rauni kyau 0.0043	Rauni kyau 0.0611	Rauni korau -0.0311	Rauni korau -0.0806	Rauni korau -0.0219	Rauni kyau 0.0017	Rauni kyau 0.0791

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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