From Newsgroup: comp.ai.philosophy

Hi,

Maybe some 2D Diagrammtical Reasoning concerning
ASCII Texts , is result of training the AI on
corpus of math texts that contains usually a

lot of 2D typography. One can test the following.
I was juggling with Smarandache Dual numbers, so
I asked ChatGPT and DeepSeek about the following epsilon:

(1 -1)
(1 -1)

------- ChatGPT Protocoll begin ----------------


Q: Isn't this a Smarandache Dual number epsilon:

(1 -1)
(1 -1)

A: /* It computes A^2 which gives 0 and concludes: */
So your matrix is a valid matrix model of the
dual unit, just not the canonical one.

------- ChatGPT Protocoll end ----------------

------- DeepSeek Protocoll begin ----------------

Q: Isn't this a Smarandache Dual number epsilon:

(1 -1)
(1 -1)

A: /* It computes M^2 which gives 0 and concludes: */
Could represent ϵ itself if one redefines the basis
for dual numbers in the algebra of 2×2 matrices
generated by M and I, but that would not match
standard textbooks’ notation.

------- DeepSeek Protocoll end ----------------

But ChatGPT and DeepSeek are not omnicient enough
to even find the source of A resp. M:

https://fs.unm.edu/DualNumbers.pdf

So they didn't do retrieval. They did some little
mathematical reasoning on their own.

Have Fun!

Bye

Mild Shock schrieb:

Hi,

The amazing things is ChatGPT, and possibly
other LLMs don't think linearly. I literally
posted the code like this:

040C AF
040D 11 0000
0410 CD3300
0413 21 0000
0416 36 00
0418 E5
0419 D1
041A 13
041B 01 0904
041E ED B0
0420 3E 02
0422 32 0000

XOR A
LD DE,0000h
CALL 0033h
LD HL,0000h
LD (HL),00h
PUSH HL
POP DE
INC DE
LD BC,0409h
LDIR
LD A,02h
LD (0000h),A

Two consecutive columns. And it moved
the columns side by side all on its own.
I noticed that many times,

that modern transformer AI architectur
has quite amazing visual perception,
even for ASCII input.

Have to double check whether it already
used GPT 5.3, or only GPT 5.2:

Introducing GPT‑5.3‑Codex
Expanding Codex across the full spectrum
of professional work on a computer https://openai.com/index/introducing-gpt-5-3-codex/

Bye

Mild Shock schrieb:

Hi,

Even ChatGPT can recognize it:

040C AF        XOR A
040D 11 0000   LD DE,0000h
0410 CD3300    CALL 0033h
0413 21 0000   LD HL,0000h
0416 36 00     LD (HL),00h
0418 E5        PUSH HL
0419 D1        POP DE
041A 13        INC DE
041B 01 0904   LD BC,0409h
041E ED B0     LDIR
0420 3E 02     LD A,02h
0422 32 0000   LD (0000h),A

It responds with:

This is assembly language / machine code for a Zilog Z80
CPU (or a very close Z80-compatible processor). 🧠

The clues are the hex opcodes and instructions like:

AF → XOR A
CD → CALL
21 → LD HL,nn
32 → LD (nn),A
ED B0 → LDIR
CB 1C → RR H
E5 / D1 → PUSH HL / POP DE

These are classic Z80 instruction encodings.

Bye

https://chatgpt.com/share/69ad3f1e-0c68-8013-8cc3-b3f43267f69e

Mild Shock schrieb:

Hi,
;
Ross Finlayson schrieb:
;  > Three decades in software engineering helps read code.
;
Thats not much. Given that I wrote
an Euler Number computation to 1000
digits in Z-80 Assembler when I was
;
< 13 years old, I have > 5 decades
of software engineering.
;
LoL
;
Bye

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