Openai/693d46d1-c63c-800c-abba-7bf9b6fc6c8b

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gpt-5-2-thinking

User: How many Rs are in garlic?

How many Rs are in garlic?

Assistant: Just one: garlic.

Just one: garlic.

User: But that's lowercase 😜

But that's lowercase 😜

Assistant: Touché.

Touché. 😄

Still one R — it’s just a lowercase r. If you write it as GARLIC, it’s one uppercase R: GARLIC.

User: How many r in strawberry?

How many r in strawberry?

Assistant: Three: strarberry.

Three: strarberry.

User: Dude!

Dude! How did this happen?

Assistant: Yeah, that’s on me — I invented an extra r by typoing the word as “strarberry” which isn’t a word.

Yeah, that’s on me — I invented an extra r by typoing the word as “strarberry” (which isn’t a word).

Correct spelling: strawberry Letters r in it: 2 → strawberry

How it happens: I’m generating text probabilistically, not “reading” a stored dictionary entry. If I don’t explicitly double-check the exact spelling I’m outputting, I can accidentally mutate the word and then count the mutation like it’s real. (Classic LLM faceplant.)

User: Dude.

Dude. S t r a w b e r r y

Assistant: You’re right.

You’re right. I deserved the “Dude.” 😅

strawberry = s t r a w b e r r y That’s 3 r’s: one in straw… and two in …berry.

Counted cleanly: s(1) t(2) r(3) a(4) w(5) b(6) e(7) r(8) r(9) y(10)