Baile/Blagáil/AI Assistants Boost Beginners More Than Experts, Study Shows Correlation

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.

Faisnéis shaorga agus deireadh na sibhialtachta

Charts Comhghaoil

VUCA

Tá comhchoibhneas suntasach go staitistiúil

Dáileadh Gnáth, le William Sealy Gosset (Mac Léinn) r = 7.63

Dáileadh Neamh -Ghnáth, le Spearman r = 0.31

Taispeáin torthaí amháin > r = 7.63

Ceisteanna Poll

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1) Sábháilteacht (cé mhéid a aontaíonn tú nó a n -aontaíonn tú?)

2) Rialú (Cé mhéid a aontaíonn tú nó a n -aontaíonn tú?)

Imdháileadh

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Gnáth-

1.1 Answer 1 1.9 Answer 2 4.9 Answer 3 1.4 Answer 4 2.2 Answer 5 #1	-6.5 Answer 2 -5.2 Answer 10 #1
1.7 Answer 6 4 Answer 7 2.7 Answer 8 7.9 Answer 9 #2	-5.6 Answer 11 -4.5 Answer 6 -3.8 Answer 12 #2

Gnáth-

3.6 Answer 10 5.4 Answer 4 #1	-5.9 Answer 1 -0.2 Answer 2 -0.5 Answer 2 -1.5 Answer 3 -0.9 Answer 5 #1
4.9 Answer 6 0.6 Answer 12 7.9 Answer 8 0.2 Answer 9 #2	-7.5 Answer 11 -1.7 Answer 6 -1.4 Answer 7 #2

Gnáth-

4.4 Answer 2 0.1 Answer 5 #1	-0.9 Answer 1 -1 Answer 2 -3.3 Answer 3 -0.1 Answer 10 -0.1 Answer 4 #1
8.5 Answer 6 1.1 Answer 8 #2	-1.9 Answer 11 -1.4 Answer 6 -1 Answer 7 -7 Answer 12 -2.2 Answer 9 #2

Gnáth-

4.5 Answer 2 5 Answer 10 8 Answer 4 #1	-10 Answer 1 -3.1 Answer 2 -3.9 Answer 3 -0.9 Answer 5 #1
5.6 Answer 11 3.2 Answer 6 3.5 Answer 12 0.3 Answer 8 #2	-0.3 Answer 6 -6.2 Answer 7 -8.1 Answer 9 #2

Gnáth-

11.1 Answer 1 4 Answer 2 1.9 Answer 3 #1	-0.7 Answer 2 -1.9 Answer 10 -8.4 Answer 4 -5.4 Answer 5 #1
6.2 Answer 11 1.3 Answer 7 6.1 Answer 12 #2	-4.1 Answer 6 -4 Answer 6 -1 Answer 8 -3.1 Answer 9 #2

Neamhghnách

0.2 Answer 2 0.6 Answer 3 11.1 Answer 5 #1	-0.3 Answer 1 -4.8 Answer 2 -1.1 Answer 10 -5.8 Answer 4 #1
1.8 Answer 11 1.1 Answer 7 3.3 Answer 12 6.1 Answer 9 #2	-2.7 Answer 6 -3.2 Answer 6 -4.5 Answer 8 #2

Gnáth-

7.1 Answer 1 2.9 Answer 2 1.7 Answer 3 0.5 Answer 10 #1	-1.4 Answer 2 -4 Answer 4 -5.9 Answer 5 #1
2.9 Answer 11 0.8 Answer 6 1.8 Answer 6 3.3 Answer 7 0.5 Answer 9 #2	-1.3 Answer 12 -11.2 Answer 8 #2

Easpórtáil go MS Excel

Beidh an fheidhmiúlacht seo ar fáil i do vótaíochtaí VUCA féin

Go maith

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

2023.11.27

Valerii Kosenko

Úinéir an Táirge SaaS Pet Project Sdtest®

Bhí Valerii cáilithe mar shíceolaí oideolaíoch sóisialta i 1993 agus ó shin i leith chuir sé a chuid eolais i bhfeidhm i mbainistíocht tionscadail.
Fuair Valerii céim mháistreachta agus cáilíocht an tionscadail agus an bhainisteora cláir in 2013. Le linn a chláir mháistir, bhí sé eolach ar threochlár Project (GPM Deutsche Gesellschaft Für Projektmanagement e. V.) agus dinimic Spiral.
Ghlac Valerii tástálacha éagsúla dinimic bíseach agus d'úsáid sé a chuid eolais agus taithí chun an leagan reatha de SDTest a oiriúnú.
Is é Valerii údar iniúchadh a dhéanamh ar neamhchinnteacht an V.U.C.A. Coincheap ag baint úsáide as dinimic bíseach agus staitisticí matamaiticiúla i síceolaíocht, níos mó ná 20 vótaíocht idirnáisiúnta.

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