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Answer text and browser furniture are mixed in one stream and have not been ","entity_type":"concept","gate":"scored","reached":"same","read":{"brief":"rebuild/capture-registry/per-atoms/obs-pass/BRIEF.md","by":"observation pass reader, batch 2","normalised":[],"on":"2026-10-19"},"scores":{"C":1.0,"D":1.0,"M":0.444,"PER":0.783},"spec":"PER-dim rubric v1.0","src":true,"target":{"ent":"ENT-20df62802a","name":"Logotic Programming"}}},"observation":{"auth":"signed in","date":"2026-06-13","ev":"ocr","evidence_files":[{"file":"data/captures/logotic-programming/logotic-programming.png","sha256":"7da0c7a87d06d74e79beeccda1c71ab4b52add2a779c4e96e1f5743b8b3bdc3e"}],"q":"logotic programming","s":"Frameworks","sf":"AI Mode · 2 observations","surface":"Google AI Overview","transcript":"--- logotic-programming.png ---\n\n( x\nlogotic programming\nENDD +\nLogotic Programming is an emerging theoretical\nframework that shifts coding from traditional\nexecutable instructions to the deliberate\nconstruction of \"conditions of intelligibility” .\nInstead of writing code that compiles into machine\nprocedures, logotic programming creates semantic\narchitectures designed for language models and\nprobabilistic AI agents to traverse. @ Academia.edu +1\nHow It Works\ne Semantic Anchoring: Rather than hard-coding\nbehaviors, programmers build consistent,\nbounded environments and semantic structures.\n@ Academia.edu\ne Model Navigation: When AI agents navigate\nthese environments, certain relations,\ndistinctions, and interpretations become the\nmost stable or natural pathways for the system\nto process, naturally guiding the AI's output\nwithout coercion. @ Academia.edu","transcript_class":"OCR-READ, CHROME INTERLEAVED — NOT A PASTE. Answer text and browser furniture are mixed in one stream and have not been separated. Supports PRESENCE of wording, not RETENTION.","transcript_cleaned":{"content_check":"PASSED — no answer word absent from the cleaned text","removed":[{"n":1,"what":"prompt box"},{"n":1,"what":"URL bar"}],"rule":"VERBATIM ON CONTENT, NOT ON COPY-PASTE RESIDUE. Original bytes kept at transcript_raw."},"transcript_complete":"As captured; no expansion control visible in frame.","transcript_raw":"--- logotic-programming.png ---\n(M23 google.com/search?clie ER] H\n( x\nlogotic programming\nENDD +\nLogotic Programming is an emerging theoretical\nframework that shifts coding from traditional\nexecutable instructions to the deliberate\nconstruction of \"conditions of intelligibility” .\nInstead of writing code that compiles into machine\nprocedures, logotic programming creates semantic\narchitectures designed for language models and\nprobabilistic AI agents to traverse. @ Academia.edu +1\nHow It Works\ne Semantic Anchoring: Rather than hard-coding\nbehaviors, programmers build consistent,\nbounded environments and semantic structures.\n@ Academia.edu\ne Model Navigation: When AI agents navigate\nthese environments, certain relations,\ndistinctions, and interpretations become the\nmost stable or natural pathways for the system\nto process, naturally guiding the AI's output\nwithout coercion. @ Academia.edu\nAsk anything & @","transcript_read":"SEATED FROM OCR WITHOUT LINE-BY-LINE READING, 2026-08-13"},"slug":"logotic-programming"}