{"asOf":"2026-10-03","doesNotChangeDepotPicks":true,"doesNotChangePriceSort":true,"doesNotChangeFreeIndex":true,"note":"Classification and failure modes are mechanisms. Case studies are included only when the source URL was fetched on 2026-10-03. A capability ceiling is not a company incident. Vendor figures are labeled as that vendor's report.","count":1,"catalogCount":27,"refused":["Replit agent database story (July 2025): The Register URL returned HTTP 403 and no first-party engineering postmortem was fetched. Not indexed.","CanLII HTML for 2024 BCCRT 149 returned a client-side block. The Civil Resolution Tribunal document was fetched instead and is the indexed source.","Cursor agent best-practices post loaded and is a product guide, not a postmortem. Not indexed as an incident. The University of Chicago study it mentions was not fetched.","Cognition 'Introducing Devin' (published 2024-03-12) duplicates the SWE-bench technical report. The report is indexed; the launch post is not a second study.","Anthropic many-shot jailbreaking research page loaded. It is an attack writeup, so it is not indexed and no procedure is stored.","OWASP LLM01:2025 was fetched and is cited on the prompt-injection failure mode only. Attack examples from that page are not copied into a case study.","Calder Lab and similar unsourced production-metric blogs were not fetched and are not indexed.","Google Research abstract for Data Cascades in High-Stakes AI loaded on 2026-10-03 (the abstract says 92% prevalence). Not indexed for data-etl: it is an interview study of ML data practice, not a pipeline job failure. The indexed data-etl study is the dbt Cloud status page."],"studies":[{"id":"memgpt-2023","title":"MemGPT: Towards LLMs as Operating Systems","year":2023,"studyKind":"mechanism_study","classIds":["personal-assistant","rag","local-offline"],"failureModeIds":["context-overflow","silent-truncation"],"lesson":"The abstract says limited context windows handicap document analysis and multi-session chat, and describes moving text between tiers so the model sees a working set rather than the whole history. An assistant that answers a long document or a long memory from a single truncated window is the problem this paper is about. No accuracy number is stored because the abstract did not state one.","sourceUrl":"https://arxiv.org/abs/2310.08560","asOf":"2026-10-03","notes":"Fetched the arXiv abstract. A system paper, not an incident."}]}