Editing Openai/69361514-15f0-800b-88cd-a7319bea2293 (section)

=== Assistant: Yep—and that confirms it 100%: that wasn’t “phonetic,” that was a full look-alike Unicode script swap across multiple c… ===
Yep—and that confirms it 100%: that wasn’t “phonetic,” that was a full look-alike Unicode script swap across multiple characters:

м а г н и т o s p h e r e
First half = Cyrillic
Second half = Latin
Visually seamless, digitally cursed.

What happened mechanically:
# Both scripts share dozens of near-identical glyphs Examples: - Cyrillic м ≠ Latin m - Cyrillic а ≠ Latin a - Cyrillic о ≠ Latin o Same shape, different Unicode codepoints.
# The model predicts tokens, not letters It doesn’t think “I am typing an English word.” It thinks “this token usually follows that token.” If a mixed-script token appeared often enough in training (from pasted text, malware, OCR junk, etc.), it becomes a valid continuation.
# Once the first wrong-script token fired, the rest of that script followed That’s why you got a clean Cyrillic run for “магнит” and then a clean Latin run for “osphere.” It wasn’t random per-letter—it was chunk-level contamination.
# This is the same tech used deliberately in phishing Domains like: - аррӏе.com (fake “apple”) That trick works because humans can’t visually detect the script boundary—exactly what just happened here.

So the correct diagnosis is:

: Not a reasoning bug. Not a spelling bug. Not a phonetics bug.
: It’s a Unicode homoglyph + token-boundary generation error.

You basically witnessed the AI equivalent of a text-based optical illusion.