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.


କୃତ୍ରିମ ବୁଦ୍ଧି ଏବଂ ସଭ୍ୟତାର ସମାପ୍ତି |

େଦଶ
ଭାଷା
-
Mail
ପୁନ al ଗଣନା କରନ୍ତୁ |
ଏକ statistically ଉଲ୍ଲେଖନୀୟ ସହସମ୍ଵନ୍ଧ ଅଛି
ସାଧାରଣ ବଣ୍ଟନ, ୱିଲିୟମ୍ ସେଲ୍ ଗୋସେଟ୍ (ଛାତ୍ର) ଦ୍ୱାରା | r = 8.74
ସାଧାରଣ ବଣ୍ଟନ, ୱିଲିୟମ୍ ସେଲ୍ ଗୋସେଟ୍ (ଛାତ୍ର) ଦ୍ୱାରା | r = 8.74
ଅଣ ସାଧାରଣ ବଣ୍ଟନ, ବର୍ଚ୍ଛା ଦ୍ୱାରା | r = 0.39
ପୋଲ୍ ପ୍ରଶ୍ନ |
ସମସ୍ତ ପ୍ରଶ୍ନ
ସମସ୍ତ ପ୍ରଶ୍ନ
1) ସୁରକ୍ଷା (ଆପଣ କେତେ ରାଜି କିମ୍ବା ସହମତ ନୁହଁନ୍ତି?)
2) ନିୟନ୍ତ୍ରଣ (ଆପଣ କେତେ ରାଜି କିମ୍ବା ସହମତ ନୁହଁନ୍ତି?)
ବଣ୍ଟନ
#
ଯୁକ୍ତାତ୍ମକ ସହସମ୍ଵନ୍ଧ,%
#
ନକାରାତ୍ମକ ସହସମ୍ଵନ୍ଧ,%
ସାଧାରଣ
3.4
Answer 1
3.2
Answer 2
1.6
Answer 3
3.2
Answer 4
#1
-6
Answer 9
-1.5
Answer 10
-3.1
Answer 11
#1
3.1
Answer 5
3.2
Answer 6
1.9
Answer 7
7.6
Answer 8
#2
-7
Answer 12
-2.5
Answer 13
-4.3
Answer 14
#2
ସାଧାରଣ
6.1
Answer 11
4.9
Answer 3
0.6
Answer 4
#1
-5.4
Answer 1
-1.8
Answer 9
-1.6
Answer 10
-1.9
Answer 2
#1
2.6
Answer 5
0.1
Answer 6
4.8
Answer 14
8.8
Answer 7
3.3
Answer 8
#2
-11.5
Answer 12
-2.3
Answer 13
#2
ସାଧାରଣ
1
Answer 1
1.9
Answer 3
4
Answer 4
#1
-0.5
Answer 9
-1.3
Answer 10
-4.7
Answer 2
-0.2
Answer 11
#1
9.6
Answer 13
0.4
Answer 6
2.6
Answer 8
#2
-3.6
Answer 12
-3.1
Answer 5
-7.6
Answer 14
-1.1
Answer 7
#2
ସାଧାରଣ
8.2
Answer 10
1.3
Answer 11
8.2
Answer 3
#1
-13.1
Answer 1
-0.5
Answer 9
-2.4
Answer 2
-4.9
Answer 4
#1
6
Answer 12
3.3
Answer 13
4.4
Answer 14
3.3
Answer 7
#2
-2.8
Answer 5
-4.8
Answer 6
-11.3
Answer 8
#2
ସାଧାରଣ
12.4
Answer 1
3
Answer 9
0.6
Answer 10
2.9
Answer 2
#1
-1.5
Answer 11
-10.7
Answer 3
-5.1
Answer 4
#1
10.8
Answer 12
3.1
Answer 14
#2
-5.6
Answer 13
-0.9
Answer 5
-0.9
Answer 6
-2.3
Answer 7
-5.7
Answer 8
#2
ସାଧାରଣ
3.7
Answer 9
4.3
Answer 2
6.2
Answer 4
#1
-4
Answer 1
-3.3
Answer 10
-2.4
Answer 11
-5.8
Answer 3
#1
4.3
Answer 12
1
Answer 6
4.5
Answer 14
4.3
Answer 8
#2
-4.5
Answer 13
-3.8
Answer 5
-3.5
Answer 7
#2
ସାଧାରଣ
6.5
Answer 1
5
Answer 9
0.7
Answer 11
#1
-3.1
Answer 10
-0.7
Answer 2
-3.9
Answer 3
-3.6
Answer 4
#1
2.5
Answer 12
1.2
Answer 13
5.4
Answer 5
1.6
Answer 6
1.2
Answer 8
#2
-3.8
Answer 14
-12.3
Answer 7
#2


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


2023.11.27
ଭାଲେରୀ କୋସେନକୋ
ଉତ୍ପାଦ ମାଲିକ ସାସ୍ ପୋଷା ପ୍ରୋଜେକ୍ଟ sdtest® |

ଭାଲେରୀ 1993 ରେ ଜଣେ ସାମାଜିକ ଶିକ୍ଷାଦାନ-ମାନସିକ ବିଜ୍ଞପ୍ତି ଭାବରେ ଯୋଗ୍ୟ ଥିଲେ ଏବଂ ଏହା ପରେ ପ୍ରକଳ୍ପ ପରିଚାଳନା ରେ ତାଙ୍କ ଜ୍ଞାନ ପ୍ରୟୋଗ କରିଛି |
ଭାଲେରାଇ ଏକ ମାଷ୍ଟର ଡିଗ୍ରୀ ଏବଂ ପ୍ରୋଜେକ୍ଟ ଏବଂ ପ୍ରୋଗ୍ରାମ୍ ମ୍ୟାନେଜର୍ ଯୋଗ୍ୟତା ହାସଲ କରିଥିଲେ, ସେ ସକରାତ୍ମକ କାର୍ଯ୍ୟକ୍ରମରେ ପୀଡିତ ହୋଇ ସେ ପ୍ରୋଜେକ୍ଟ ୱାଟମାପ୍ (GPM ଡଏଟ୍ ଡଏଟ୍ ମ୍ୟାପ୍ ଫିଜାନଚେଷ୍ଟମେଣ୍ଟ ଇ। ଭି) ଏବଂ ସ୍ପିରାଲ୍ ଡାଇନର୍ମେଜିକ୍ସ |
Valrii ବିଭିନ୍ନ ସ୍ପିରାଲ୍ ଡାଇନାମିକ୍ସ ପରୀକ୍ଷା ନେଇଥିଲେ ଏବଂ SDTTE ର ସାମ୍ପ୍ରତିକ ସଂସ୍କରଣକୁ ଅନୁକୂଳ କରିବା ପାଇଁ ତାଙ୍କର ଜ୍ଞାନ ଏବଂ ଅଭିଜ୍ଞତା ନେଇଥିଲେ |
ଭାଲେରୀ ହେଉଛି V.U.C.A ର ଅନିଶ୍ଚିତତା ଅନୁସନ୍ଧାନ କରିବାର ଲେଖକ | ମନିସୋଲୋଜି ରେ ସ୍ବାଦ ଘୁଞ୍ଚନ ପରିସଂଖ୍ୟାନ ଏବଂ ଗାଣିତିକ ପରିସଂଖ୍ୟାନ ବ୍ୟବହାର କରି ଧାରଣା, 20 ଆନ୍ତର୍ଜାତୀୟ ମତାମତ |
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ନମସ୍କାର! ମୋତେ ତୁମକୁ ପଚାରିବି, ତୁମେ ସ୍ପିରାଲ୍ ଡାଇନାମିକ୍ସ ସହିତ ପୂର୍ବରୁ ପରିଚିତ କି?