Комментарии и вопросы в self-evolve:
https://www.linkedin.com/posts/kirr-simakovs-364a69190_what-happens-when-a-single-ai-coding-session-activity-7487589510726422530-wHat
Вот что система сразу накидала через короткий промпт мой:
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на пост <URL> и комментарии к нему от <XXX>:
Распиши ответы на каждый из комментариев на английском и подумай заодно, могут ли эти вопросы помочь нам улучшить нашу экосистему / оркестраторы / агентские системы и как мы с памятью работаем теперь (бесконечные чаты до 100000 сообщений).
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А потом это декомпозируется ну кучу подзадач.
вот сам план для дальнейших шагов:
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# Task Checklist: LinkedIn Critique Responses & Long-Horizon Memory Architecture Evolution
- [ ] **Phase 1: TRIZ Analysis & Initialization Report (R=3)**
- [ ] Perform TRIZ contradiction analysis on B. Lee Jones's critiques (Memory Runway vs True Lossless Degradation, gRPC socket crash vs size limits, Auditability & Governance).
- [ ] Execute `universal_fractal_model_router.py --complexity high --depth 3`.
- [ ] **Phase 2: Deep Research & Model Council Evaluation (Top-3 Models)**
- [ ] Run Perplexity Deep Research + Model Council (Claude Sonnet, Gemini 3.1 Pro, DeepSeek V4) analyzing B. Lee Jones's 3 comments.
- [ ] Validate technical precision (gRPC error codes, V8 GC behavior, SQLite/JSONL WAL recovery, Attention Drift mitigation).
- [ ] **Phase 3: Crafting High-Authority LinkedIn Responses (Comments 1, 2, 3)**
- [ ] Formulate Response 1 (Addressing gRPC ECONNREFUSED vs MAX_MESSAGE_SIZE, V8 heap runway, Step 0 attention drift, 0ms vs microsecond latency).
- [ ] Formulate Response 2 (Addressing SQLite/JSONL ACID WAL sync, corruption recovery, benchmark specs & reproducible workloads).
- [ ] Formulate Response 3 (Addressing Governance, Auditability, Catamorphic Log Compaction & Institutional Memory).
- [ ] **Phase 4: Architectural Enhancements for Ecosystem / Orchestrator Memory (SOTA 2026)**
- [ ] Translate B. Lee Jones's critiques into code & architecture improvements in `backpack_implementation.py` and `architecture_blueprint_hub.md`.
- [ ] Implement Monoidal State Merging, Catamorphic Audit Trails, and Attention Anchoring.
- [ ] Pass 100% of unit & E2E tests.
- [ ] **Phase 5: Knowledge Distillation, Dashboard Sync & Telegram Notification**
- [ ] Create RAG item `05_Support/RAG/linkedin_long_horizon_memory_governance_2026.md`.
- [ ] Update `16_AI_graph_brain/nodes/node_long_horizon_memory_governance.md`.
- [ ] Update HTML Dashboard `monosnap_system_architecture_blueprint.html`.
- [ ] Send detailed Telegram report to Kirr (`chat_id = xxxxx`).
- [ ] Update `personal_tasks.md` and `HANDOVER.md`.
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