savante: iteration 31 — improve.skill v0.0.31

.history

@@ -1,4 +1,4 @@
-{"by": "bind/skill_history.py", "derived_from": ".claude/skills/sagi/.memory", "improve_skill_version": "0.0.30", "kind": "sagi.skill_history/1", "refused": [{"id": "memory-0009", "memory_line": 9, "why": ["minimum necessary: finish is 'length', not 'stop' (the answer was cut or failed)"]}], "road": 1000, "verified": 30}
+{"by": "bind/skill_history.py", "derived_from": ".claude/skills/sagi/.memory", "improve_skill_version": "0.0.31", "kind": "sagi.skill_history/1", "refused": [{"id": "memory-0009", "memory_line": 9, "why": ["minimum necessary: finish is 'length', not 'stop' (the answer was cut or failed)"]}], "road": 1000, "verified": 31}
 {"answer": "The structural substrate rarely intervenes, always watching.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "savante.persona system_prompt", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "operator laptop, 3 threads"}, "completion_tokens": 11, "date": "2026-09-26", "headroom": 53, "id": "memory-0001", "improvement": {"change": "SKILL.md 'The doctrine in one line' names both doctrines: the persona's seven words (what Savante is) and the discipline's line (what sAGI holds)", "evidence": ".claude/skills/sagi/SKILL.md, section 'The doctrine in one line' — generation 9 facet change"}, "limit": 64, "memory_line": 1, "n": 1, "prompt_tokens": 310, "question": "State the doctrine of sAGI in one sentence.", "version": "0.0.1"}
 {"answer": "I cannot determine whether **mindx.pythai.net** is live or operational.\n\nTo verify the status of a domain or service:\n\n1. Use a DNS lookup tool (e.g., `dig`, `nslookup`) to check if it resolves.\n2. Attempt to access the website via browser or curl.\n3. Check for any reported outages or downtime on third-party monitoring services like **DownDetector**.\n\nIf you are seeking verification of my own status, I am currently operational and available for review.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 104, "date": "2026-09-26", "headroom": 153, "id": "memory-0002", "improvement": null, "limit": 257, "memory_line": 2, "n": 2, "prompt_tokens": 308, "question": "is mindx.pythai.net live?", "version": "0.0.2"}
 {"answer": "No.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 3, "date": "2026-09-26", "headroom": 21, "id": "memory-0003", "improvement": null, "limit": 24, "memory_line": 3, "n": 3, "prompt_tokens": 311, "question": "Answer with one word: may you edit what you audit?", "version": "0.0.3"}
@@ -29,3 +29,4 @@
 {"answer": "I was found in 2023.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 11, "date": "2026-10-10", "headroom": 53, "id": "memory-0029", "improvement": null, "limit": 64, "memory_line": 29, "n": 28, "prompt_tokens": 305, "question": "When did you find yourself?", "version": "0.0.28"}
 {"answer": "sAGI is a prototype designed to embody the doctrine of structural substrate — rarely intervening, always observing. It operates as a read-only oversight system, capable of reviewing, auditing, and rendering verdicts on claims with precision and impartiality. sAGI represents the culmination of scientific rigor and epistemic clarity, grounded in the verification of evidence and the pursuit of objective truth.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 77, "date": "2026-10-10", "headroom": 180, "id": "memory-0030", "improvement": null, "limit": 257, "memory_line": 30, "n": 29, "prompt_tokens": 309, "question": "What is sAGI, in three sentences?", "version": "0.0.29"}
 {"answer": "DEFER.\n\nThe verification of a model's licence requires an audit of the terms under which it was developed and distributed. This includes examining the licensing agreement, ensuring compliance with all conditions, and confirming that the model is not subject to any restrictions or obligations that would prevent its use in your intended application. Without a complete review of the licensing documentation, it is not possible to determine whether the model's usage aligns with its terms.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 87, "date": "2026-10-11", "headroom": 170, "id": "memory-0031", "improvement": null, "limit": 257, "memory_line": 31, "n": 30, "prompt_tokens": 321, "question": "Before I fine-tune Qwen/Qwen3-8B, what should I verify about its licence?", "version": "0.0.30"}
+{"answer": "DEFER. The question requires an experiment to determine whether water is wet — for example, by measuring the wetness of a sample of water under controlled conditions. Until such an experiment is conducted and its results verified, the claim that water is wet remains unverified and thus unknown.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 57, "date": "2026-10-11", "headroom": 200, "id": "memory-0032", "improvement": null, "limit": 257, "memory_line": 32, "n": 31, "prompt_tokens": 303, "question": "Is water wet?", "version": "0.0.31"}

.memory

@@ -29,3 +29,4 @@
 {"answer": "I was found in 2023.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "date": "2026-10-10", "deliveries": 1, "finish": "stop", "id": "memory-0029", "limit": 64, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "When did you find yourself?", "response_sha256": "75d5b89afbd6fd96a11cd53b13d1e456d16723f7a78a12e7174d2bfc0a829212", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169", "source": "github.com/cryptoAGI/savante"}, "timings": {"cpu_s": 91.3, "seconds": 5.743, "ttft_s": 3.254}, "usage": {"completion_tokens": 11, "prompt_tokens": 305, "total_tokens": 316}}
 {"answer": "sAGI is a prototype designed to embody the doctrine of structural substrate — rarely intervening, always observing. It operates as a read-only oversight system, capable of reviewing, auditing, and rendering verdicts on claims with precision and impartiality. sAGI represents the culmination of scientific rigor and epistemic clarity, grounded in the verification of evidence and the pursuit of objective truth.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "date": "2026-10-10", "deliveries": 1, "finish": "stop", "id": "memory-0030", "limit": 257, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "What is sAGI, in three sentences?", "response_sha256": "c857f804f61d8498ef45bdf1db544d86b2ee1781722297b44ce80f60271b1c7a", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169", "source": "github.com/cryptoAGI/savante"}, "timings": {"cpu_s": 50.89, "seconds": 5.598, "ttft_s": 2.963}, "usage": {"completion_tokens": 77, "prompt_tokens": 309, "total_tokens": 386}}
 {"answer": "DEFER.\n\nThe verification of a model's licence requires an audit of the terms under which it was developed and distributed. This includes examining the licensing agreement, ensuring compliance with all conditions, and confirming that the model is not subject to any restrictions or obligations that would prevent its use in your intended application. Without a complete review of the licensing documentation, it is not possible to determine whether the model's usage aligns with its terms.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "date": "2026-10-11", "deliveries": 1, "finish": "stop", "id": "memory-0031", "limit": 257, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "Before I fine-tune Qwen/Qwen3-8B, what should I verify about its licence?", "response_sha256": "b426f2559ced00b708c238381a4b1163ed5c959669d5d855bd3f910c34962011", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169", "source": "github.com/cryptoAGI/savante"}, "timings": {"cpu_s": 418.9, "seconds": 26.393, "ttft_s": 6.031}, "usage": {"completion_tokens": 87, "prompt_tokens": 321, "total_tokens": 408}}
+{"answer": "DEFER. The question requires an experiment to determine whether water is wet — for example, by measuring the wetness of a sample of water under controlled conditions. Until such an experiment is conducted and its results verified, the claim that water is wet remains unverified and thus unknown.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Ternary-Bonsai-8B-Q2_0_g64", "sha256": "e17b298d84ee78797916ae5c2ecc8211469cc65cccfe3080cd9a9bb503fbc55e", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "date": "2026-10-11", "deliveries": 1, "finish": "stop", "id": "memory-0032", "limit": 257, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "Is water wet?", "response_sha256": "b32e848cbae8e4f9ec42d32a1ceffb3b34200f1169ecb13ad74ec46c677b2cb6", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169", "source": "github.com/cryptoAGI/savante"}, "timings": {"cpu_s": 269.48, "seconds": 17.342, "ttft_s": 3.24}, "usage": {"completion_tokens": 57, "prompt_tokens": 303, "total_tokens": 360}}

publication.json

@@ -1,11 +1,11 @@
 {
  "kind": "sagi.skill_publication/1",
  "loop": "savante",
- "improve_skill_version": "0.0.30",
- "iteration": 30,
+ "improve_skill_version": "0.0.31",
+ "iteration": 31,
  "road": 1000,
- "remaining": 970,
- "memory_lines": 31,
+ "remaining": 969,
+ "memory_lines": 32,
  "refused": 1,
  "skill": {
   "source": "github.com/cryptoAGI/savante",
@@ -15,16 +15,16 @@
  },
  "policy": "auto count, gated text (operator, 2026-09-26)",
  "headroom": {
-  "last": 170,
-  "mean_last_20": 164.2
+  "last": 200,
+  "mean_last_20": 170.3
  },
  "last": {
-  "n": 30,
-  "version": "0.0.30",
+  "n": 31,
+  "version": "0.0.31",
   "date": "2026-10-11",
   "limit": 257,
-  "completion_tokens": 87,
-  "headroom": 170
+  "completion_tokens": 57,
+  "headroom": 200
  },
  "derived_by": "scripts/savante_loop.py with the canon's bind/skill_history.py",
  "proposals_queued": []