ChatGPT solved a lot of my problems in Access. Just a query and the answer is on the screen. I also admit that it made some mistakes. Just like a lot of experts here. I frequently see "I stand corrected". So what's the difference?AI has nothing to do with Access.
It's actually true. But what's wrong with it. If the job is done, does it hurt if I look smart?It makes it possible for you to pretend to be smarter without actually learning anything.
I think it's a matter of blending your knowledge and experience with the AI results. If the AI helps you solve a problem so much the better.ChatGPT solved a lot of my problems in Access. Just a query and the answer is on the screen. I also admit that it made some mistakes. Just like a lot of experts here. I frequently see "I stand corrected". So what's the difference?
It's actually true. But what's wrong with it. If the job is done, does it hurt if I look smart?
I'm an engineer and my main job is design. AI has helped me so many times that I can not even count. Job is done, customer is happy and I feel I'm smart. I don't see anything wrong here, though others may.
We are living in an era where knowledge doesn't count. There was a time that the value of the people was judged by the amount of they know. But not anymore. How many of us read books? And do you think that "book" will exist in a near future?
Think it this way. There was a time that PC has not been invented. Everything should be done by our calculations. But today, we don't learn a lot of things because a computer is doing that part of the job for us. Is it wrong to use a PC to help us doing what we can not?
Does it mean I'm pretending to be smarter because the hard part of the job is on PC's shoulders And I don't need to learn that part?
What will you be without your PC? What can you do without your phone? Everything here is to help us for job being done.
Even Access is run by a PC. To me, thinking "AI is helping us to be smarter without learning" is the same as telling "Access is helping us to manage a database without knowing how"?
What's the difference. You use Access without learning how it works behind the scene. I use AI to help me Access work better.
Ai makes mistakes, Access has its bugs.
At present, a lot of our hospitals where I live, are using AI to find the cause of what a patient is suffering from. They have the data from different hospitals world wide and can compare them with the results of medical tests passed to them, to find the disease and the cure. Do you think using AI in medical science is wrong because it helps the doctors look smart and not learn?
Just my two cents.
Public Function BuildCriteria(ByVal FieldName As String, ByVal FieldDataType As SqlFieldDataType, _
ByVal RelationalOperator As SqlRelationalOperators, _
ByVal FilterValue As Variant, _
Optional ByVal FilterValue2 As Variant = Null, _
Optional ByVal IgnoreValue As Variant, _
Optional ByVal DisableIgnoreNullValue As Boolean = False) As String
... (Note: The entire procedure code was transmitted via the API)
End Function
'AccUnit:Row("CustomerID", SQL_Text, SQL_Equal, "1001", Null, Null, "CustomerID = '1001'").Name("TestEqualText")
'AccUnit:Row("OrderAmount", SQL_Numeric, SQL_GreaterThan, 500, Null, Null, "OrderAmount > 500").Name("TestGreaterThanNumeric")
'AccUnit:Row("OrderDate", SQL_Date, SQL_Between, #1/1/2020#, #12/31/2020#, Null, "OrderDate BETWEEN #1/1/2020# AND #12/31/2020#").Name("TestBetweenDates")
'AccUnit:Row("ProductName", SQL_Text, SQL_Like, "%milk%", Null, Null, "ProductName LIKE '%milk%'").Name("TestLikeText")
Public Sub TestBuildCriteria(ByVal FieldName As String, ByVal FieldDataType As SqlFielddataType, _
ByVal RelationalOperator As SqlRelationalOperators, ByVal FilterValue As Variant, _
ByVal FilterValue2 As Variant, ByVal IgnoreValue As Variant, ByVal Expected As String)
' Arrange
Dim sqlTools As New SqlTools
' Act
Dim result As String
result = sqlTools.BuildCriteria(FieldName, FieldDataType, RelationalOperator, FilterValue, FilterValue2, IgnoreValue)
' Assert
Assert.That(result, Iz.EqualTo(Expected))
End Sub
ChatGPT solved a lot of my problems in Access. Just a query and the answer is on the screen. I also admit that it made some mistakes. Just like a lot of experts here. I frequently see "I stand corrected". So what's the difference?
It's actually true. But what's wrong with it. If the job is done, does it hurt if I look smart?
I'm an engineer and my main job is design. AI has helped me so many times that I can not even count. Job is done, customer is happy and I feel I'm smart. I don't see anything wrong here, though others may.
We are living in an era where knowledge doesn't count. There was a time that the value of the people was judged by the amount of they know. But not anymore. How many of us read books? And do you think that "book" will exist in a near future?
Think it this way. There was a time that PC has not been invented. Everything should be done by our calculations. But today, we don't learn a lot of things because a computer is doing that part of the job for us. Is it wrong to use a PC to help us doing what we can not?
Does it mean I'm pretending to be smarter because the hard part of the job is on PC's shoulders And I don't need to learn that part?
What will you be without your PC? What can you do without your phone? Everything here is to help us for job being done.
Even Access is run by a PC. To me, thinking "AI is helping us to be smarter without learning" is the same as telling "Access is helping us to manage a database without knowing how"?
What's the difference. You use Access without learning how it works behind the scene. I use AI to help me Access work better.
Ai makes mistakes, Access has its bugs.
At present, a lot of our hospitals where I live, are using AI to find the cause of what a patient is suffering from. They have the data from different hospitals world wide and can compare them with the results of medical tests passed to them, to find the disease and the cure. Do you think using AI in medical science is wrong because it helps the doctors look smart and not learn?
Just my two cents.
Unfortunately I do. Because my dictionary says smart=clever and clever means mentally quick and resourceful. If I have the answer to the problem, no matter I had it or I searched for it, I assume myself being smart and I can't help it. Because I actually solved the problem.Use AI as a tool if you wish, but please don't pretend it makes anyone really any smarter;
I remember when the most reasonable response to a certain kind of question was, "Here, let me Google that for you."I think we humans, are afraid of new things.
There have been many inventions and technologies throughout history that were initially met with skepticism, fear, or resistance but are now commonly accepted as part of daily life. People were against using electricity because of its potentioal dangers, against Graham Bell because of concerns about privacy, against Edward Jenner because of his smallpox vaccination method, against railroad and trains because of their speed, against credit cards because of the possibility of identity theft, against microwave oven because of radiation, against organ transplants because of the risk of rejection, the long-term survival of patients, and the moral implications of taking organs from one person to save another.
They were even agsint using computers for being too complicated for the average person to use. They were also agaist computers because of being depended on machines for tasks that were traditionally done manually.
And here we are. None of us can live a day without a computer, yet we all think we are smart.
When I was in collage, we had to learn hundreds of formulas for calculating simulation flaw and destructive tests against our designs. And spent hours with calculators to do a test.
Today, no one needs to remember all those physics formula. Because a simple PC program do it in a matter of few seconds. Should I assume myself smarter than today's graduated students because I know how to calculate? And believe they are not smart because they rely on a PC (a tool)?
Unfortunately I do. Because my dictionary says smart=clever and clever means mentally quick and resourceful. If I have the answer to the problem, no matter I had it or I searched for it, I assume myself being smart and I can't help it. Because I actually solved the problem.
Because the AI is a computer, people tend to believe it without question. When you are asking a programming question, what can go wrong? Aside from wasting hours going down a rabbit hole, probably nothing. If you actually test the code, you are given very carefully and do not just assume it to be correct, you will be OK. The real danger with AI is when you do not have the background or subject matter knowledge to recognize a flaw in the answer. It is especially dangerous when the bias of the programmers or designer comes through. When you ask why you should vote for Kamala, you get wine and flowers and violins, and they mention her "experience" as a VP. When you ask about Trump, it used to say that it couldn't weigh in on political questions. Now it gives some tepid response, but it doesn't mention his experience as President. So, Kamala's do-nothing VP job gets more importance than Trump's actual experience as President for four years. Making the life and death decisions every single day. And Kamala's failure at everything, including keeping her staff (94% attrition rate over 3.5 years), is lauded.I frequently see "I stand corrected". So what's the difference?
It is especially dangerous when the bias of the programmers or designer comes through.
Your post proves that point perfectly. That is your bias
That may be your opinion but it isn't fact.Yes, but Colin... Pat wasn't wrong.
That is also based on your bias / opinion. What evidence do you have for that assertion?You have to remember that the management of AI facilities more often than not is liberal in orientation, so their pet project will be liberal in orientation.
I have been led astray many times by Chatty!Aside from wasting hours going down a rabbit hole,
When you ask why you should vote for Kamala, you get wine and flowers and violins, and they mention her "experience" as a VP. When you ask about Trump, it used to say that it couldn't weigh in on political questions. Now it gives some tepid response, but it doesn't mention his experience as President. So, Kamala's do-nothing VP job gets more importance than Trump's actual experience as President for four years. Making the life and death decisions every single day.
Wow, so you think it is OK for the AI to talk about Kamala as if she were the second coming (she isn't) but say they were not allowed to say anything about Trump. And when that hit the fan and they "corrected" their algorithm, they chose to completely ignore four years of on-the-job training and say that 3.5 years of failure was important? You probably don't understand American politics, which is fine. You don't have to. But the VP is almost always treated as the "spare". We don't have an heir. He/she/it is supposed to keep a low profile and especially to not criticize the President. Biden actually hated Kamala though so he kept giving her public tasks that he knew she would fail at. It was pretty amusing to watch. Biden had a great sense of humor and some of it still slips out.Your post proves that point perfectly. That is your bias
What evidence do you have that AI's don't acquire the bias of their developers?That is also based on your bias / opinion. What evidence do you have for that assertion?
so their pet project will be liberal in orientation.
Wow, so you think it is OK for the AI to talk about Kamala as if she were the second coming (she isn't) but say they were not allowed to say anything about Trump.