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@jisan_0.01: ๐๐น๐น๐ฎ๐ต ๐ท๐ฎ ๐ธ๐ผ๐ฟ๐ฒ๐ป? โ๐๐ฎ๐น๐ผ๐ฟ ๐ท๐ผ๐ป๐ป๐ผ๐ถ ๐ธ๐ผ๐ฟ๐ฒ๐ป' ๐ฒ๐ถ ๐ธ๐ผ๐๐ต๐ฎ ๐๐ฎ ๐บ๐ผ๐ป๐ฒ ๐ธ๐ผ๐ฟ๐ฒ ๐ธ๐ผ๐๐ผ ๐ธ๐ถ๐ฐ๐ต๐๐ถ ๐ป๐ฎ ๐บ๐ฒ๐ป๐ฒ ๐ป๐ถ๐น๐ฎ๐บ:) โค๏ธโ๐ฉน#bandmusic22
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Monday 19 October 2026 08:37:01 GMT
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JIHAD.>๐๏ธ :
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2026-10-19 09:25:54
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naomi misora || 4morant super duper lazy attempt at this i gave up half way thru #naomimisora #deathnote #4morant #edit #alightmotion
Does AI read every letter, so it counts the 3 r's in "strawberry" right every time? ๐ Not this one. A language model doesn't get letters, it gets tokens: chunks of text from its vocabulary, each with an ID number. With Qwen2.5's official tokenizer, "strawberry" on its own is three chunks, "str" + "aw" + "berry". In the question "How many r's are in strawberry?" the word (with its space) is a single token, number 72600. The letters aren't in what the model is given. We asked a tiny local model (qwen2.5:0.5b, about half a billion parameters) that exact question 20 times on a Mac mini (ollama, seeds 1 to 20, default settings, rule for "right" written down before the first run). It answered 1, 2, 4, 5, 0, "no r's", or gave no number at all. Right: 1 out of 20, and that one said "strawberry" is spelled with "sฤr", "which means three". Meanwhile `grep -o r <<< strawberry | wc -l` printed 3, twenty times out of twenty. One tiny model, one question: bigger models often get this one right, and this test says nothing about them. Want letters counted? Use code that sees letters. Sources: Qwen/Qwen2.5-0.5B-Instruct tokenizer.json on Hugging Face (revision 7ae5576), read with the `tokenizers` package; our own runs of qwen2.5:0.5b with ollama 0.34.4 and of bash grep + wc on a Mac mini M4 Pro, 7 Oct 2026 (raw answers and the grading rule are in the facts file). Voices: ElevenLabs. #ai #llm #tokens #artificialintelligence #strawberry
Clevatess Temporada 2 ... #ClevatessSeason2 #animerecommendations #Anime #animeedit #fypใ
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