{"sources":{"aiengineer-nyc-2026/00-original/transcript-raw/transcript-master.json":"30aee858f35f0f46743ca23a16975b994f4ea37a4f3023b96da0222ddab21946","aiengineer-nyc-2026-day2/00-original/transcript-raw/transcript-master.json":"e6f9bf8eb67200c2059c511adbcd826a3bac6a1b54c6e14d530e28a7eadb4595"},"talks":47,"by_day":{"1":{"talks":23,"words":61757,"segments":3828},"2":{"talks":24,"words":72493,"segments":4355}},"words":134250,"segments":8183,"windows":838,"excluded_overlapping_or_noncontent_records":[{"day":1,"id":"047","reason":"Q&A overlaps the preceding keynote"},{"day":2,"id":"001","reason":"Welcome remarks, classified as a keynote in the source"},{"day":2,"id":"022","reason":"Duplicate Intuit recording; retain record 023"}],"partial_recordings":[{"key":"1:030","title":"Extra lunch talk: Flywire's internal AI platform — structured workflow automation (Orbit on the Victoria PaaS)"},{"key":"2:042","title":"Scary stories of AI gone wrong: three real incidents and the infrastructure controls that prevent them"}],"normalization":{"agents":"agent","agentic":"agent","models":"model","llms":"llm","gpus":"gpu","tokens":"token","workflows":"workflow","evaluations":"evaluation","evals":"evaluation","eval":"evaluation","evaluating":"evaluation","evaluate":"evaluation","evaluated":"evaluation","datasets":"dataset","benchmarks":"benchmark","systems":"system","tools":"tool","companies":"company","humans":"human","customers":"customer","users":"user","documents":"document","permissions":"permission","skills":"skill","costs":"cost","tasks":"task","traces":"trace","transactions":"transaction","applications":"application","servers":"server","sources":"source","prices":"price","contracts":"contract","clusters":"cluster","stocks":"stock","policies":"policy","controls":"control","processes":"process","developers":"developer","engineers":"engineer","environments":"environment","tests":"test","testing":"test","training":"training","trained":"training","train":"training"},"coverage":"A term family appears in at least two distinct transcript segments per talk. Categories overlap. The network also requires both concepts to meet this talk-level coverage rule.","network":"Undirected positive normalized pointwise mutual information, disjoint ~150-word windows; >=8 co-windows and >=4 talks; display cutoff .08. Co-occurrence is not causation, sequence, or agreement.","scope":"Clip boundaries can retain brief introductions within talks. The two captured main-stage feeds and recorded inserts; not the full multi-room event. Master ASR text, not written summaries or speaker bios. Names and numerical claims can contain transcription errors.","reproducible_seed":42,"claim_labels":"Eight excerpts reviewed in transcript context. Labels describe the excerpt, not the whole talk. Speaker results are not independently verified."}