Just had an exercise with ChatGPT for Ada.

Here is what my request was: "Produce Ada code for solving a quadratic equation."

And here's the output from ChatGPT (quite flawless forgiving the absence of a math lib in the header):
----------------------------
with Ada.Text_IO; use Ada.Text_IO;

procedure Quadratic_Equation is
A, B, C, D : Float;
X1, X2 : Float;
begin
-- read coefficients A, B, and C from the user
Put("Enter coefficient A: ");
Get(A);

Put("Enter coefficient B: ");
Get(B);

Put("Enter coefficient C: ");
Get(C);

-- calculate the discriminant
D := B*B - 4.0*A*C;

-- check if the discriminant is negative
if D < 0.0 then
Put_Line("No real roots exist.");
else
-- calculate the roots
X1 := (-B + Sqrt(D)) / (2.0*A);
X2 := (-B - Sqrt(D)) / (2.0*A);

-- output the roots
Put_Line("Root 1 = " & Float'Image(X1));
Put_Line("Root 2 = " & Float'Image(X2));
end if;
end Quadratic_Equation;

and an extra remark:

Note that this implementation assumes that the discriminant (B^2 - 4AC) is positive or zero. If the discriminant is negative, then no real roots exist.
-----------------------------------------------

Before crying wolf, my impression is that ChatGPT might be useful for drafting simple pieces of code (say, homeworks). Very soon though one will arrive at a situation when the amount of efforts to explain the task to ChatGPT will be the same as to write
the code yourself (I shall call it a limiting Kolmogorov complexity).

What do you think?

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On 2023-03-30 23:49, Anatoly Chernyshev wrote:

What do you think?

No doubt there are a large number of such programs in the training data. If it had simply regurgitated one of those, at least the program would have compiled. That it couldn't even do as good as that is not impressive.

--
Jeff Carter
"Fundamental improvements in performance
are most often made by algorithm changes,
not by tuning."
Elements of Programming Style
201

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On Thursday, March 30, 2023 at 2:49:45 PM UTC-7, Anatoly Chernyshev wrote:

What do you think?

ChatGPT demands my phone number which it will not get. Has anyone found a workaround?
Jerry

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On 2023-03-31 01:00, Jeffrey R.Carter wrote:

On 2023-03-30 23:49, Anatoly Chernyshev wrote:

What do you think?

No doubt there are a large number of such programs in the training data.
If it had simply regurgitated one of those, at least the program would
have compiled. That it couldn't even do as good as that is not impressive.

Right. Fun would be adding qualifiers to the request. E.g. "in extended precision", "taking arguments from user input" etc. Parroting works up
to some limit.

What I find interesting is that the whole swindle highlights that some
human activities considered creative are in fact not. BTW, it repeats
much earlier dethroning of playing chess as being indicative to human intellect. The machine easily beats us in chess.

Actually, it is the abilities to sort out garbage and pick up vegetables
which make us intelligent! (:-))

--
Regards,
Dmitry A. Kazakov
http://www.dmitry-kazakov.de

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On 31/03/2023 09:54, Dmitry A. Kazakov wrote:

On 2023-03-31 01:00, Jeffrey R.Carter wrote:

On 2023-03-30 23:49, Anatoly Chernyshev wrote:

What do you think?

No doubt there are a large number of such programs in the training
data. If it had simply regurgitated one of those, at least the program
would have compiled. That it couldn't even do as good as that is not
impressive.

Right. Fun would be adding qualifiers to the request. E.g. "in extended precision", "taking arguments from user input" etc. Parroting works up
to some limit.

I have been trying to get chatGPT to help me with a larger Ada project
on and off for the past few months. It not only has no idea regarding
what functions do and do not exist in a given library, but it sometimes
doesn't even understand how private types or tasks work. I will admit,
those are not necessarily super common, but given how easy Ada makes it
to use them, I can honestly say that Ada is the only language in which I
am comfortable writing multithreaded programs that require more
sophistication than a simple fork() call.

So, yeah. ChatGPT knows the syntax of Ada, and it is familiar with Ada.Text_IO's more common functions. It knows about the existence of GNAT.Sockets and AdaSockets, but it has no idea on how to use them.

I would be quite confident that that is pretty much it as far as ChatGPT
and Ada goes.

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Data science people swear it's just a matter of the size of training set used...
I did also a few tests on some simple chemistry problems. ChatGPT looks like a bad but diligent student, who memorized the formulas, but has no clue how to use them. Specifically, units conversions (e.g. between mL, L, m3) is completely off-limits as of
now.

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On 2023-03-31 23:44, Anatoly Chernyshev wrote:

Data science people swear it's just a matter of the size of training set used...

They lie. In machine learning overtraining is as much a problem as undertraining. The simplest example from mathematics is polynomial interpolation becoming unstable with higher orders.

And this does not even touch contradictory samples requiring retraining
or time constrained samples etc.

I did also a few tests on some simple chemistry problems. ChatGPT looks like a bad but diligent student, who memorized the formulas, but has no clue how to use them. Specifically, units conversions (e.g. between mL, L, m3) is completely off-limits as

of now.

One must remember that ChatGPT is nothing but ELIZA on steroids.

https://en.wikipedia.org/wiki/ELIZA

--
Regards,
Dmitry A. Kazakov
http://www.dmitry-kazakov.de

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I have the same concerns. There are websites that allow for temp phone numbers but they never work. Get a burners phone with a pay as you go plan that does not auto-renew. Maybe you already have a retired phone. A simm card will be $10 and a month's
worth of talk time perhaps another $10. Wish it was easier :(

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On Saturday, April 1, 2023 at 3:39:51 AM UTC-4, Dmitry A. Kazakov wrote:

On 2023-03-31 23:44, Anatoly Chernyshev wrote:

Data science people swear it's just a matter of the size of training set used...

They lie. In machine learning overtraining is as much a problem as undertraining. The simplest example from mathematics is polynomial interpolation becoming unstable with higher orders.

And this does not even touch contradictory samples requiring retraining
or time constrained samples etc.

I did also a few tests on some simple chemistry problems. ChatGPT looks like a bad but diligent student, who memorized the formulas, but has no clue how to use them. Specifically, units conversions (e.g. between mL, L, m3) is completely off-limits as

of now.

One must remember that ChatGPT is nothing but ELIZA on steroids.

https://en.wikipedia.org/wiki/ELIZA
--
Regards,
Dmitry A. Kazakov
http://www.dmitry-kazakov.de

For what it's worth on the subject of the chatbot, " "Produce Ada code for solving a quadratic equation." is a terrible choice for a test of ChatGPT as one is asking if it can do a Google search. To test its abilities, you have to pick a challenge that
cannot be solved with a Google search.

My short assessment of ChatGPT, with the history of chatbots, are available on my February blog post. I gave it a simple programming problem and it failed 3 times out of 4. It's not surprising as I've learned since February that the chatbot doesn't
actually understand programming: it uses examples off the Internet and tries to predict what you might have typed based on keyword patterns. It is an imitation of an imitation, smoke and mirrors. This is why Vint Cerf denounced it. You can read my
thoughts on my blog:

https://www.pegasoft.ca/coder/coder_february_2023.html

Ken Burtch

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