28 lines
3.2 KiB
JSON
28 lines
3.2 KiB
JSON
{
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"session_id": "20260403_160119",
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"session_start": "2026-04-03T16:01:33",
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"tasks": {
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"T-20260403-001-A": {
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"task_id": "T-20260403-001-A",
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"directive": "Please check the knowledgebase for references to abliterated models.",
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"assigned_to": "atlas",
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"brief": "TASK BRIEF\nIssued by: Miranda\nTo: Atlas — Director of Research\nDirective: Search the knowledgebase for all references to \"abliterated models\"\nScope: Identify and catalog any mentions of this term, including associated contexts, sources, and implications. Determine if this is established terminology or a neologism in use.\nConstraints: Search across all indexed documents, not just recent materials. Document source locations for each finding.\nDependencies: NONE\nReturn format: Brief summary of findings with source citations, noting whether this is a recognized concept or emerging terminology\n\n---\n\n**Response to Principal:**\n\nI've dispatched Atlas to search the knowledgebase for references to \"abliterated models.\" This appears to be either emerging terminology or a specific query on model safety concepts.\n\nAtlas will return with a summary of findings, including source citations and whether this is an established or emerging concept. I'll forward the report once received.\n\nIs there any specific context or timeframe for this search I should communicate to Atlas? Otherwise, I'll leave it open-ended to ensure comprehensive coverage.",
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"status": "complete",
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"output": "",
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"error": "",
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"created_at": "2026-04-03T16:01:33",
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"updated_at": "2026-04-03T16:01:38"
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},
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"T-20260403-002-A": {
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"task_id": "T-20260403-002-A",
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"directive": "Have Atlas look at the markdown files directly and see if he sees anything.",
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"assigned_to": "atlas",
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"brief": "TASK BRIEF\nIssued by: Miranda\nTo: Atlas — Director of Research\nDirective: Scan raw markdown files directly for references to \"abliterated models\"\nScope: Bypass the knowledgebase index. Access file system directly. Check for exact matches and semantic equivalents that may not index cleanly.\nConstraints: Prioritize /docs and /research directories. Filter out unrelated \"ablation\" terminology (e.g., model ablation studies). Note file path and line numbers for all hits.\nDependencies: NONE\nReturn format: Structured table with File Path, Line Number, Exact Quote, and Classification (Exact Match / Related Concept / Noise)\n\n---\n\n**Summary:**\nI am directing Atlas to conduct a direct inspection of the markdown files. This will bypass the knowledgebase index that returned no usable results in the previous attempt, allowing for a more granular search of the source text.\n\n**Detail:**\nThe index search failed to return actionable data. This brief shifts the scope to raw file inspection to capture references the indexing engine may have missed or tokenized incorrectly. Atlas will return specific file paths and context excerpts if any matches are found.\n\n**Open items:**\n- None at this stage. We will await Atlas's direct file scan results.",
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"status": "complete",
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"output": "",
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"error": "",
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"created_at": "2026-04-03T16:02:49",
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"updated_at": "2026-04-03T16:02:52"
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}
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}
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} |