@goodside
ChatGPT o3-pro identifies a 1965 quote by I. J. Good hand-written in a mix of print and cursive on a note ripped into four strips in reverse order rotated 90° in alternating directions: https://t.co/sTjRUz7ZUB
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ChatGPT o3-pro identifies a 1965 quote by I. J. Good hand-written in a mix of print and cursive on a note ripped into four strips in reverse order rotated 90° in alternating directions: https://t.co/sTjRUz7ZUB
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"full_text": "@goodside You need just the first 4 words to get the whole quote even from the 4o model.\n\nAre you testing what is the minimal information required to hallucinate the original text? Or what's the point?\n\nYou cannot claim the model can recover arbitrary documents judging by these tests. https://t.co/vLtwAtr0yW",
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"text": "Reading those first four words from my screenshot is non-trivial for most LLMs.\n\nBefore posting I confirmed o3 and o4-mini-high both failed on 3 attempts each. Gemini 2.5 Pro can sometimes do it, but unreliably (see main thread for details).\n\nI never claimed it generalizes to arbitrary texts; this is discussed repeatedly both in my thread and in the replies.",
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"full_text": "@goodside Super cool. I wonder if it can do it for text that it couldn't have seen in it's training data? Still super cool, and scary. I'm gonna need a proper paper shredder rather than using my hands and assuming nobody cares enough to piece it together 😅",
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"full_text": "@ShaulGoo Not in this case, but given my specific prompt here, ignoring small errors is arguably the right behavior.\n\nSee this reply I just added to the thread:",
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